Applied Mathematics (PGDORM-Sem-1)-munotes

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1A
SIMULTMEOUS LINEAR EQUATION


UNIT STRUCTURE
1A.1 Introduction
1A.2 Methods for solving simultaneous linear equations
1A.3 Unit E nd E xercise


1A.1. INTRODUCTION
Equation of a line in a plane is of first degree in x & y and
Conversely every eq uation of first degree in x & y represents a line.
 Linear equation:
The general equation of the set of equation ‘ x’ & ‘ y’ variable of the
type
ax by c o   with a, b, c real number and at least one of a and b is
not zero, is closely associated with the set of lines in a plane is called
linear equation . Linear equation is obtained by equating to zero a linear
expression.
 Linear Expression:
Any expression of the type
ax by c a, b, c in R and at least one
of a and b is non zero, is called linear expression.

1A.2. METHODS FOR SOLVING SIMULTANEOUS
LINEAR EQUATIONS:
*Simultaneous L inear Equation in Two variables :
Let
1 1 1 0 a x b y c   and
2 2 2 0 a x b y c   . A value for each
variable which satisfies simultaneously both the equations will give the
roots of the equation. There are two methods to solve the given
simultaneous equation
1) Elimination method
2) Cross Multiplication Method
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(1) Elimination Method: -
In this method, two given equations are reduced to a linear
equation in one unknown by eliminating one of the unknow ns and then
solving for the other unknown.
Eg. (i) Solve 2x + 5y = 9 and 3x – y = 5
2x + 5y =9...... (1)
3x – y = 5........ ( 2)
Multiply eqn (2) by 5,
We get,
15 5 25......(3)xy
Adding (1) & (3),
2x + 5y = 9
15x – 5y = 25

17x = 34

2x
Substituting x = 2 in eqn (1),

2x + 5y = 9

2(2) + 5 y = 9
1y

Thus x = 2, y = 1 is the required solution.
(2) Cross-Multiplication Method: -
a1x + b1y + c1 = 0
a2x + b2y + c2 = 0
We write the coefficients of x, y, and constant terms and two more
columns by repeating the coefficients of x and y as follows:
1 2 3 4
b1 c1 a1 b1
b2
c2
a2
b2
and the result is given by: munotes.in

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1 2 2 1 1 2 2 1 1 2 2 11 xy
b c b c c a c a a b a b  
So, the solution is:

1 2 2 1
1 2 2 1b c b cxa b a b

1 2 2 1
1 2 2 1c a c aya b a b

E.g.
1) Solve 3x + 2y + 17 = 0
5x – 6y – 9 = 0
Solution:
By comparing with a1x + b1y + c1 = 0 and a2x + b2y + c2 = 0 then using the
result
1 2 2 1 1 2 2 1 1 2 2 11 xy
b c b c c a c a a b a b  
1
2 9 17 6 17 5 3 9 3 6 5 2xy        


1
84 112 28xy  


1.3 4 1xyie



34 xy  

Thus x = -3, y = -4 is the required solution.
 Simultaneous Linear Equations with Three variables Methods :

Methods: (1) Elimination method
(2) Cross Multiplication method

E.g 1 ) Solve for x, y and z.

3x – 2y + 4z = 1
2x – y + z = 3
x + 3y – 2z = 11
(a) Method of Elimination : Any two of three equations can be chosen
for limi tation of one of the variable.

2x – y + z = 3 ........... (i)
x + 3y – 2z = 11 ........... (ii) munotes.in

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3x – 2y + 4z = 1 ........... (iii)
Multiplying eqn (i) by 2
4x – 2y + 2z = 6...... (iv)

Eliminating variable ‘ z’ by adding (ii) and (i v),
5x + y = 17 ...... (v)

Multiplying eqn (ii) by 2
2x + 6y – 4z = 22... ... (vi)

By Adding (iii) and (vi), 5 x + 4y = 23......... (vii)

Subtracting eqn (vii) from eqn (v),

-3y = – 6
2y

Substituting y = 2 in eqn (v)

 5x + 2 = 17

3x

Substituting x = 3 and y = 2 in eqn (i)

2(3) – 2 + z = 3

1 z 


x = 3, y = 2, z = -1 is the required solution .


(b) Method of Cross Multiplication:
2x – y + z = 3 …. (i)
x + 3 y – 2z = 11 …. (ii)
3 x – 2 y + 4z = 1 …. (iii)

The equations (i) & (ii) can be written as follows: -

2x – y + (z-3) = 0
x + 3y + (-2z-11) = 0
By cross multiplication,
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x y 1==-1 -2z-11 -3 z-3 z-3 -2 -2z-11 2 3 -1 -1

x y 1==20-z 5z+19 7


20-x=7z

5z+19y=7

Substituting above values for x & y in eqn (iii) i.e 3 x – 2y + 4z = 1

20-z 5z+193 -2 +4z =177         


60 - 3z - 10z - 38 + 28z = 7


 15z = 7- 22  15z = – 15


1 z 

Now,
20 ( 1) 21
77x ∴
3x


 5 1 19 14
77y ∴
2y

x = 3, y = 2, z = -1 is the required solution .

3) It the numerator of a fraction is increased by 2 and the denominator
by 1, it becomes 1. Again, if the numerator is decreased by 4 and the
denominator by 2, it becomes
12 . Find the fraction.

Let
xy be the required fraction (given)

211
41
22x
y
x
y

x + 2 = y + 1 i.e. x – y = -1 ..... (i)

2x – 8 = y -2 ∴ 2x – y = 6 .... (ii)

Subtracting (i) from (ii) munotes.in

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2x – y = 6 (i)
x – y = –1 (ii)
– + +
x = 7

7x and
Substituting x=7 in eqn (i) we get, 2(7)-y=6

14-y=6

y= 14 - 6 = 8

8y


The fraction =
7
8x
y

4) The age of a man is three times the sum of the ages of his two sons and
5 years hence his age will be double the sum of their ages. Find the
present age of man?

Let ‘x’ years be the present age of man and sum of present ages of
the two sons be ‘y’ years.

Given condition x = 3y .... (i)
x + 5 = 2 ( y + 5 + 5) .... (ii)

Substituting eqn (i) in eqn (ii),

3y + 5 = 2( y + 10)

15y
by substituting y = 15 in (i) x = 3y = 3(15) = 45

45x

Hence, the present age of man is 45 years

1A.3. UNIT END EXERCISE:

 Multiple Choice Questions

1) The solution of the set of equations 3 x + 4y = 7, 4x – y = 3 is
[A] (1, -1) [B] (1, 1) [C] (2, 1) [D] (1,-2)

2) The values of x and y satisfying the equations
2, 2 83xyxyy   
are given by the pair
[A] (3, 2) [B] ( -2, -3) [C] (2, 3) [D] None of these

3) Solve for x and y: x - 3y = 0, x + 2y = 20 munotes.in

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[A] x = 4, y = 12 [B] x = 12, y = 4 [C] x = 5, y = 4 [D] None of these

4) Solve:
7 8 5 624 3 2x y zx y z     
[A] (4, 3, 2) [B] (2, 3, 4) [C] (3, 4, 2) [D] (4, 2, 3)

5) Solve: 3x – 4y + 70z = 0, 2x + 3y – l0z = 0, x + 2y + 3z = 13
[A] (1 , 3, 7) [B] (1, 7, 3) [C] (2, 4, 3) [D] ( -10, 10, 1)

6) Monthly incomes of two persons are in the ratio 4:5 and their monthly
expenses are in the ratio 7:9. If each saves Rs 50 per month find their
monthly in comes.
[A] (500,400) [B] (400,500) [C] (300,600) [D] (350,550)

7) The age of a person is twice the sum of the ages of his two sons and
five years ago his age was thrice the sum of their ages. Find his
present age.
[A] 60 years [B] 52 years [C] 51 years [D] 50 years

8) The sum of the digits in a three digit no. is 12 . If the digits are
reversed, the no. is increased by 495 but reversing only of tens &
units digits increases the number by 36. The number is
[A] 327 [B] 372 [C] 237 [D] 273

Exercise s
1) Solve x + y + z = 5, 2 x – 3y – 4z = -11 and 3 x + 2y – z = -6
2) Find the values of x and y for equations x + 5y = 36 and
5
3xy
xy
3) The wages of 8 men and 6 boys amount to Rs.33. If 4 men earn
Rs.4.50 more than 5 boys. Determine the wages each man and boy.
4) The demand and supply equations for a certain commodity are
4q + 7p = 17 and
7
34qp respectively.

Where p market price; q: quantity . Find the equilibrium price and
quantity .



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1B
QUADRATIC EQUATIONS

UNIT STRUCTURE
1B.1 Introduction and Definitions
1B.2 Unit E nd Exercise

1B.1. INTRODUCTION AND DEFINITIONS

*Polynomial :

An expression of the form a0xn + a 1xn-1 ……… +……. + an-1 x +an,
where
00 a
a1, a2 ....... a n are constants
n : Positive integer
x : Variable (un known)
is called a polynomial in ‘ x’ of degree ‘ n’ and it is denoted by f( x).
Eg. x2 – 3x + 1, 2 x3 – 3x2 + 5,
42 2 3xx polynomials in ‘ x’.
 Quadratic Expression :

An expression of the form ax2 + bx + c,
0a and a, b, c
 R, is
called a quadratic expression, where R is the set of real numbers.
Eg. (i) 2x2 + 3x + 4
(ii) x2 – 4x + 5 are examples of quadratic expressions .
 Quadratic Equation :

The equation of the form ax2 + bx + c = 0,
0a , a, b, c, ∈ R
is called a quadratic equation where R is the set of real numbers. I t is an
equation of degree 2. Generally, coefficients of quadratic equations
encountered are rational numbers .
Eg (i) 3x2 + 7x + 12 = 0
(ii) x2 + 4 = 0 are examples of quadratic equations.

 Root of a quadratic equation :
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The value of x which satisfies the quadratic equation ax2 + bx + c = 0
is called the root of given quadratic equation.
Thus, if
x , is the root of quadratic equation

20, ax bx c   then
20 a b c  
 Roots of a Quadratic equation :

The roots of the quadratic equation
ax2 + bx + c = 0 are given by

24
2b b acxa  
i.e.
2244,22b b ac b b ac
aa     

 Sum and Product of the Roots of a Quadratic Equation:

Let
, be the roots of quadratic eqn ax2 + bx + c = 0. If S is the
sum of roots and P the product of the roots of quadratic equation, then the
quadratic equation is
x2 – Sx + P = 0

i.e. x2 – (Sum of roots) x + (Product of roots) = 0

Where,
bSa   and
cPa
There are two types of quadratic equations

(1) Pure
(2) Affected

(1) Pure Quadratic Equation:

A quadratic equation is said to be Pure if coefficient of x is zero.
Thus, a pure quadratic equation is of the type ax2 + b = 0;
0a

(2) Affected Quadratic Equation:

A quadratic equation which is not pure is called an affected quadratic
equation. The m ost general form of an affected quadratic equation is
ax2 + bx + c = 0 ;
0 & 0ab



 Methods of Solving Pure Quadratic Equations :

Let ax2 – b = 0 be a pure quadratic equation. This implies munotes.in

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22     bbax b x xaa

The roots of ax2 - b are real if ‘ a’ and ‘ b’ are of opposite sign.
Eg. Solve
2 316 9 04xx   
 Methods of Solving Affected Quadratic Equations :

(1) Method of factorization
(2) Method of perfect square

(1) Method of factorization :

If the expression ax2 + bx + c can be factorized into linear factors
then each of the factors, put to zero, we get two roots
& for the given
quadratic equation

Thus if
2, ax bx c a x x       then the roots of
20 ax bx c  
are
&

Eg (i) Solve : x2 - 8x + 12 = 0 12

 (x – 6) (x – 2) =0

 x – 6 = 0 or x – 2 = 0 -6 -2

 x = 6 or x = 2
Hence, the r oots of given equation are 6 or 2


(ii) Solve :
28 48 0xx   48

212 4 48 0 0x x x     

 12 4 12 0 x x x     -12 4


 4 12 0  xx


4 0 12 0x or x   


4 12 x or x 
Hence, the roots of given equation are -4 or 12

(iii)Solve :
23 7 2 0xx  

23 6 2 0x x x    


 3 2 1 2 0x x x   


 3 1 2 0xx  


3 1 0 2 0x or x   

1 23x or x 
Hence, the roots of given equation are -1/3 or -2 munotes.in

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(2) Method of Perfect Square :

When ax2 + bx + c cannot be factorized easily into its linear factors.
If can be solved by the method of perfect square.

Step 1: Let
20 ax bx c   be the given equation. Divide both sides of
equation by a , we get
20bcxxaa  
0a

Step 2: Transpose the constant term (i.e . the term independent of x) on
R.H.S.

2bcxxaa

Step 3: Add
2
24b
a on both sides to make R .H.S. a perfect square
Thus,
22
2
2244b b c bxxa a a a   


2 2
24
24b b acxaa 
Thus, a pure equation in the variable
2bxa is
24
22b b acxaa


24
22b b acxaa  

24
2b b acxa  
Solve:
(i)
22 5 1 0xx   cannot be easily factored into linear factors

Comparing with
20 ax bx c  

a = 2, b = -5, c = -1

Roots are given by

24
2b b acxa  

i.e. 𝑥=−(−5)±√ (−5)2−4(2)(−1)
2(2)
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5 33
44
Thus, the roots are
33 544 and
33 544

 Nature of the Roots of a Quadratic Equation :

The roots of the quadratic equation
20  ax bx c

are given by
24
2b b acxa  
The quantity, b2 – 4ac is called Discriminant of the quadratic equation

and is generally denoted by
'' .

Thus,
24b ac 
Nature of the roots of a quadratic equatio n depends upon its discriminant

for a, b, c
R

(1) If
24 0,b ac   roots are real and different .
(2) If
240b ac   and is a perfect square, then the roots are real .
different and rational .
(3) If
240b ac   and is not a perfect square, then the roots are
real different and irrational .
(4) If
240b ac   , then the roots are real & equal .
(5) If
240b ac   then the roots are complex and different .

Note :
(i) If a, b, c are rational, then the irrational roots occur in pairs If
one of the root is
, pq the other must be p -iq
(ii) If a, b, c are real, then the complex roots, if any occur in the
other must be p – iq
(iii)If
, are roots of quadratic eqn
20, ax bx c   then

0 a x x  

 Important Results :
(1) If in the quadratic equation
20 ax bx c  
0 abc   , then one
root of quadratic eqn is unity (1) and the other root is
ca .

(2) If the quadratic eqn
20 ax bx c   is satisfied by more than two
values of x i.e it has more than two roots, then it must be an
identity for which a = b = c = 0
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(3) If the roots of quadratic equation
20 ax bx c   are real and
distinct, then one root must be greater than
2ba and the other
less than
2ba

 Symmetric Function :

Any expression involving
 and
 as its roots is called a
symmetric function of
 and
 , if it remains unchanged when
 and

are interchanged
Eg.
2 2 2 2,,       are all symmetric functions of
 and
,
whereas
3 is not a symmetric function since in general
3 need
not be equal to
3

A symmetric functions of
 and
 can be sol ved with help of
Sum of roots   bSa

Product of roots cPa

Examples :

1) Examine the nature of roots of following equation s:

(i)
28 16 0xx
Here, a = 1, b = -8, c = 16

2 24 8 4 16 1b ac   
=64-64=0

Discriminate
24 0,b ac   the roots are real and equal

(ii)
23 8 4 0xx  

Here, a = 3, b = -8, c = 4

2 24 8 4 3 4b ac   

64 48

16
Discriminat e
240b ac   and a perfect square, the roots are
real, rational and unequal .
2) Solve :

21 1 1274xxxx             munotes.in

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21 1 2924xxxx             

21 1 29424xxxx               [
224 a b a b ab   
]
Let
1, xtx

2 29424tt   

24 8 45 0tt   


24 18 10 45 0t t t   


 2 2 9 5 2 9 0t t t   


2 5 0 2 9 0t or t   


5922t or t  
Either
1 5 192 2x or xxx    

222 5 2 0 2 5 2 0x x or x x      

Either
( 5) 25 16 9 81 16
44      x or x

5 3 9 65
44    x or x


∴𝒙=𝟖
𝟒=𝟐 𝒐𝒓 𝒙=𝟐
𝟒=𝟏
𝟐 𝒐𝒓 𝒙= −𝟗+√𝟔𝟓
𝟒,𝒙=−𝟗−√𝟔𝟓
𝟒


1 9 65 9 652, , ,2 4 4   x
Hence, the roots of given equation are 2, ½ , −𝟗+√𝟔𝟓
𝟒,−𝟗−√𝟔𝟓
𝟒


3) Solve the equation :
226 9 4 6 6x x x x    

Let
266x x t  

34tt  


26 9 16t t t  

210 9 0   tt


 1 9 0tt  

 t = 1 or t = 9


226 6 1 6 6 9x x or x x     


226 5 1 6 3 0x x or x x      munotes.in

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 6 36 4 1 3
1 5 02x x or x  
   


6 4 31,52x or x



1,5 3 2 3x or x  

Hence, the roots of given equation are 1, 5, 3+2√3,3−2√3

4) Find value of
6 6 6 ....   
Let
6 6 6 .... x    
𝒙
6x


26 xx [∵ taking square on both the sides]


260 xx  

 (x – 3) (x + 2) = 0

32x or x  

 The value of
6 6 6 ....    is 3 or -2

5) It the roots of e q.
20 x px q  
'' &
'' and form the equation
whose roots are
&


,
are roots of e qn
20 x px q  .

Comparing with ax2 + bx + c = 0. a = 1, b = –p, c = q

pp     
and
q
,      
bc
aa


Now,
2222      
      
22pq
q


1
 munotes.in

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2
2 2Requiredeq 1 0n pqis x xq    

[
  2Pr ) 0   
x Sumof roots x oduct of root ]


2220 qx p q x q    

6) Solve :
435 15 9 0x x x   


425 3 9 0x x x    


4 2 2 26 9 5 3 6 0x x x x x     

 (𝑥2−3)2−5𝑥(𝑥2−3)+6𝑥2=0

Substitute
23xt


225 6 0t xt x   

Roots of above eqn t = 2x or t = 3x

 𝑥2−3=2𝑥 𝑜𝑟 𝑥2−3=3𝑥


𝑥2−2𝑥−3=0 𝑜𝑟 𝑥2−3𝑥−3=0


 (𝑥+1)(𝑥−3)=0 𝑜𝑟 𝑥=3±√9−4(−3)(1)
2


𝑥=−1,3 0𝑟 𝑥=3±√21
2
Hence, the roots of given equation are -1, 3, 3+√21
2, 3−√21
2

7)
25: 4 3.2 2 0xxSolve  


254 3.2 2 0xx   


222 3.2 .2 32 0xx  


22 12.2 32 0xx  
Let 2x = y



212 32 0yy  


28 4 32 0y y y   


 8 4 8 0 y y y    munotes.in

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17


48y or y

2 4 2 8xxor  

222x or
322x

23x or x  
8) If
, be the roots of
22 4 1 0xx   the value of
22


 1422    [∵α+β= −𝑏
𝑎 𝑎𝑛𝑑 𝛼𝛽=𝑐
𝑎]
and
12

3
2 2 3 3 3       
        



3 1 (2) 3 (2)2
12
83
1/ 2
11
1/ 2
22







 The value of
22
 = -22

9) Divide 25 into two parts so that sum of their reciprocals is
16 .
Let the parts be x and 25 – x

Given condition :

1 1 1
25 6xx



25 1
25 6xx
xx


2150 25 xx


225 150 0xx   munotes.in

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 15 10 15 0 x x x   


 15 10 0xx  

x = 10, 15

 Part of 25 are 10 and 15.

10) A piece of iron rod casts ` 69. If the rod was 2 meter shorte r and each
meter unchanged, w hat is the length of rod ?

Let the length of rod be ‘x’ meters

The rate per meter
60
x

New length = ( x – 2)
As cost is same, n ew rate per metre
60
2x

Given condition:

60 6012xx


60 6012xx


12012 xx


 120 2   xx

22 120 0xx   


 12 10 0xx  

 Either x = 12 or x = -10

The length c annot be negativ e. Therefore, the length of the rod is 12m .

 Simultaneous Equations in two unknowns

(1) Linear simultaneous equations
(2) Non-linear simultaneous equation s

Eg. (1) Solve :
24 3 1, 12 13 25x y xy x    munotes.in

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From
414 3 1,3xx y y  
Substituting the above value of y in
212 13 25xy x

2 4112 13 253xxx  


2216 4 13 25x x x  



229 4 25 0xx  


 29 25 1 0xx  


25129x or x
In terms of y
31
4yx

3 1 3 1 2514 4 29yyor    


43129y or y  
25 43Requiredsolution is 1, 1 ,29 29x y or x y    


(2) Solve :
2 3 5, 1x y xy  

 1 2 3 6xy x y   xy = 6(1) = 6


 (2x) (3y) = 6


2 3 5xy
As
222 3 2 3 4 2 3x y x y x y   


25 24 [
2x + 3y = 5 & (2 x)(3y) = 6]


1


2 3 1xy  

∴ 2𝑥−3𝑦=1 𝑜𝑟 2𝑥−3𝑦=−1
Now 2𝑥+3𝑦=5,2𝑥−3𝑦=1 𝑜𝑟 2𝑥+3𝑦=5,2𝑥−3𝑦=−1

∴ 𝑥=3
2,𝑦= 23 𝑜𝑟 𝑥=1,𝑦=1 ⁄⁄

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Hence, the required solution is
1, 1xy
or
3 22, 3xy

(3) Solve
227, 133 x y xy x y xy     


2 22x y xy x y xy    


 x y xy x y xy    

 133 7 x y xy    

7   
x y xy

19 x y xy    …. (1)


7 x y xy   …. (2)

Adding (1) & (2)
 2 26xy


13 xy …. (3)

Subtracting (2) from (1)
2 12xy


6 36 xy xy    …. (4)

Substituting
n 36 in eq yx (3)

3613   xx


213 36 0xx   


29 4 36 0x x x    


 9 4 9 0 x x x    


94x or x  


49y or y  

Required solution is
9, 4xy

4, 9 or x y

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 Simultaneous Equations in three unknowns

Eg: (1 )
5 4 0x y z   …… (i)

2 5 4 0xyz …… (ii)

2 2 220x y z   …… (iii)
From (i) & (ii)
By cross multiplication ,

 16 5 2 20 25 8x y z    


11 22 33x y z

23yzxk   


, 2 , 3 x k y k z k  


Substituting the above values in eqn (iii)

2 2 28 9 0k k k  



220k



0k



0, 0, 0x y z  


(2)
5,x y z …… (i)

8 y z x …… (ii)

9z x y …… (iii)

Adding (i) & (ii ),


13   xy xz yz ………. (iv)

Subtra cting ( iii) from (iv ),


24xy


2 xy ………………………… (v )



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Similarly adding (2) & (3) & subtracting eqn (1) from the sum,


2 17yz xz xy  

5 xz xy


2 12yz


6 yz …………………………….. (vi )

Similarly adding (1) & (3), and subtracting eqn (2) from sum

2 14xz xy yz  

8 xy yz


26xz

3xz ………………………………… (vii )



12233x y y
z x z   [
From (v), (vi) and (vii )]

23yzxk  


, 2 , 3 x k y k z k   

Substituting the above values in eqn (i)

5 x y z


 2 3 5k k k


222 3 5kk


255k


21k


1 k

1 2, 3 x y z   

Required solution :
1, 2, 3x y z  

OR
1, 2, 3 x y z  

(3)
245 x xy xz  

275 yx y yz   munotes.in

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2105 zx zy z  


45 x x y z   ……………………………….. (1)


75 y x y z   ………………………………. (2)


105 z x y z   ………………………………. (3)
Adding we get,

2225 x y z  


15 x y z  

3, 5, 7 x y z    [
From (1), (2) and (3)]
Required solution :

3, 5, 7x y z  

3, 5, 7 or x y z  


1B.2. UNIT END EXERCISE

*Multiple Choice Questions :

(1) If
2 3 22 3 .2 1 0,xx   then values of x are

[A] 0, 1 [B] 1, 2 [C] 0, 3 [D] 0, -3


(2) If
 be the roots of eqn
22 4 3 0,xx   the values of
22 is

[A] 5 [B] 7 [C] 3 [D] -4


(3) The equation
24 2 5 0 x p x p     has equal roots, the value of
p will be
[A]
 1 [B] 2 [C]
 2 [D] – 2


(4) If the roots of eqn
222 1 0 x p x p    are real, then

   11 A 1                B 4              C                D 44p p p p   
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(5) If the roots of the eqn exceeds the other by 4, then the value of m is


    A 10               B 11              C m = 9             D m = 12 mm


(6) The area of a rectangular field is 2000 m2 and its perimeter is 180 m.
Form a quadratic eqn by taking the length of field as x and solve it to
find length of breadth of field. The length and breadth are

    A (205 ,80 )               B (50 ,40 )               C (60m,50m)              D None m m m m



 Exercise:

1)
2
2114 0 Solvefor x xxxx             


2) Solve
22
22113
11xx
xx  
  

3) Solve
213320 xx  



4) Solve
223 18 3 4 6 4x x x x    


5) If
 and
 be the roots of
27 12 0.xx   Find the equation
whose roots are
2 and
2

6) If are roots of
22 3 7 0.xx   the valves of

 and
33


7) Solve
2229, 3 x y x y   


8) Solve
14 x y xy  

2284 x y xy   munotes.in

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9) Solve
3 2 0, 4 3 0x y z x y z     

3 3 3467 x y z  

10) Solve
23 xy x y  

41 xz x z  

27 yz y z  






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2A
Determinants

UNIT STRUCTURE
2A.1 Objectives
2A.2 Introduction
2A.3 Evaluation of Determinant
2A.4 Properties of Determinant
2A.5 Minors and co -Facto rs
2A.6 Cramer’s Rule for solving Linear equations
2A.7 Unit End Exercise

2A.1. OBJECTIVES
In this chapter a student has to learn the
 Concept of Determinant.
 Minors and co -Facto rs
 Applications of Determinant in solving Linear equations

2A.2. INTRODUCTION
* Determinants:
The determinant has definite value. In determinant number of rows and columns are always
equal .
e.g.
11 12
1 11 12 21 22
21 22 22
11 12 13
2 21 22 23
31 32 33 33
11 12 13 14
21 22 23 24
3
31 32 33 34
41 42 43 44 4, , , .
.    2
 2 ;  x
xd
xn
nddeterminant of order and
daaD is a a a a are called its elementsaa
a a a
D a a a is and
a a a
a a a a
a a a aDa a a a
aeterminant of o
ae
ard
ar


4    4 .thdeterminant ofs order i
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2A.3. EVALUATION OF DETER MINANT
(a)Second order determinant:
The value of determinant of order 2 ,
abAcd is


det( )abA A ad bccd   
e.g.
The value of
23
13A is


23det( ) (2)(3) ( 3)( 1) 6 3 313AA        


 The value of determinant is 3.

(b)Third order determinant:

The value of determinant of order 3




is given by

1 2 3
2 3 1 3 12
1 2 3 1 2 3
2 3 1 3 12
1 2 3det( )a a ab b b b bbA A b b b a a ac c c c ccc c c    


E.g.
The value of A= |321
−510
3−14| is given by

3 2 1
det( ) 5 1 0
3 1 4
1 0 5 0 5 13211 4 3 4 3 1AA  

  

 det (A)=3(4 -0)-2(-20-0)+1(5 -3)=3(4) -2(-20)+1(2)=12+40+2=54

1 2 2
1 2 2
1 2 2a a a
A b b b
c c cmunotes.in

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 The value of determinant is 54.

2A.4. PROPERTIES OF DETER MINANT
(1) The value of determinant is not attend by changing the rows into the corresponding
columns and the columns into the corresponding rows.


1 2 3 1 1 1
1 2 3 2 2 2
1 2 3 3 3 3a a a a b c
b b b a b c
c c c a b c

(2) If two rows or two columns of a determinant are identical, the determinant has the
value zero.


1 2 3
1 2 3
1 2 30a a a
b b b
b b b (Since R 2=R3) OR
1 2 2
1 2 2
1 2 20a a a
b b b
c c c (Since C 2=C3)

(3) If two adjacent rows or columns of the determinant are interchanged, the value of the
determinant so obtained is the negative of the value of the original determinant.


1 2 3 1 2 3
1 2 3 1 2 3
1 2 3 1 2 3a a a b b b
b b b a a a
c c c c c c

(4) If the elements of any row or column are multiplied by the same factor, the value of the
determinant so obtained is equal to the value of the original determinant multiplied by
that factor.


1 2 3 1 1 1
1 2 3 2 2 2
1 2 3 3 3 3ma ma ma a b c
b b b m a b c
c c c a b c

(5) Sum of determinants:
If any element in any row (or columns) consists of the sum of two terms, the
determinant can be expressed as the sum of two other determinants whose other
rows ( or columns) remain the same, while the remaining row (or column) consists of
these terms respectively.
Thus,

1 1 2 3 1 2 3 1 2 3
1 1 2 3 1 2 3 1 2 3
1 1 2 3 1 2 3 1 2 3a a a a a a a a
b b b b b b b b
c c c c c c c c


  

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*PRODUCT OF DETERMINANT :
The product of two determinants is possible only if both the determinants are of
same order.
Let A and B two determinants of the order 3.


1 2 3
1 2 3
1 2 3a a a
A b b b
c c c and
1 2 3
1 2 3
1 2 3l l l
B m m m
n n n
Then,


1 2 3 1 2 3
1 2 3 1 2 3
1 2 3 1 2 3
1 1 2 2 3 3 1 1 2 2 3 3 1 1 2 2 3 3
1 1 2 2 3 3 1 1 2 2 3 3 1 1 2 2 3 3
1 1 2 2 3 3 1 1 2 2 3 3 1 1 2 2 3 3a a a l l l
AXB b b b X m m m
c c c n n n
a l a l a l a m a m a m a n a n a n
b l b l b l b m b m b m b n b n b n
c l c l c l c m c m c m c n c n c n
     
      
     


=
' ' '
1 1 1 2 1 3
' ' '
2 1 2 2 2 3
' ' '
3 1 3 2 3 3R R R R R R
R R R R R R
R R R R R R ;
where ,
1R,
2R,
3R are rows of A and
'
1R ,
'
2R,
'
3R are rows of B .

2A.5. MINORS AND CO -FACTO RS
(a) Minor of an element:
Consider the determinant A of order n written as
11 12 13 1n
21 22 23 2n
n1 n2 n3 nn nna a a a
a a a a
A =
a a a a

      
      



Then
ijM is called the minor of the element
ija of determinant A, where
ijM is obtained by
deleting
thi row and
thj column of A of the order (n -1)X(n -1).
E.g. Consider the determinant of order 3. munotes.in

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11 12 13
21 22 23
31 32 33 3x3a a a
A = a a a
a a a
M 11 = Minor of an element a 11

22 23
32 33aa = aa
Similarly,
M 12 = Minor of an element a 12
21 23
12
31 33aaM = aa


E.g. Let,
258
A = 1 3 2
0 4 6

11 12 133 2 1 2 1 3M   = , M   = , M   = 4 6 0 6 0 4


21 22 235 8 2 8 2 5M   = , M   = , M   = 4 6 0 6 0 4

Similarly we can find M 31, M 32, M33.
(b) Co-factor of an ele ment:
If A is the determinant of order n and
ijC denotes C o-factor of the element
ija and is obtained
by multiplying the minor
ijM multiplies by by (−1)𝑖+𝑗.
ij
ij ijC = 1 M
Where
ijM is minor of
ija .
If
1 1 1
2 2 2
3 3 3a b c
A = a b c
a b c
11C =
The co -factor of
11
1a =(-1)
22
33bc
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12C = The co -factor of
12
1b =(-1)
22
33ac
ac

13C = The co -factor of
13
1c =(-1)
22
33ab
ab
E.g. Consider,
A= |134
021
376|

12
12 12
12
12 C = 1 M
01 C = 136






31 0 3
1 3 3  
   


11
11 11C 1 M

11
1121C = 1 . 76


 = 1 12 7 =5 

2A.6. CRAMER’S RULE FOR S OLUTION OF LINEAR EQ UATIONS:
(a) Cramer’s Rule for solution of Linear equation in two variables :
The solution system:

1a x+
1by =
1c ……. (1)

2ax+
2b y=
2c ……. (2)
is given by
,y xD DxyDD ;
Where
11
22abDab ,
11
22xcbDcb ,
11
22yacDac


1 1 1 1
2 2 2 2
1 1 1 1
2 2 2 2,c b a c
c b a cxya b a b
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E.g. Solve:
3x+2y=5 …….(1)
4x+ y =3 …….(2)

Solution:
By using Cramer’s Rule,

,y xD DxyDD
Where D=
32
41 = 3 - 8 = -5,
256 5 113xD    ,
359 20 1143yD   
Thus we get, D=-5 ,
xD = 1,
yD = -11
Substituting in
,y xD DxyDD we get

1 1 11 11,5 5 5 5xy   
Therefore, solution is x =
1
5 , y =
11
5
(b)Cramer’s Rule for solution of Linear equation in three variables :
The solution system:

1ax+
1by+
1cz =
1d ……. (1)

2ax+
2by+
2c z =
2d ……. (2)

3ax+
3by+
3c z =
3d ……. (3)

is given by
, , ,y x zD D Dx y zD D D   ,

Where
111
222
3 3 3a b c
a b c D
a b c ,
111
222
3 3 3xd b c
d b c D
d b c ,
1 1 1
2 2 2
3 3 3ya d c
a d c D
a d c ,
1 1 1
2 2 2
3 3 3za b d
a b d D
a b d
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1 1 1 1 1 1 1 1 1
2 2 2 2 2 2 2 2 2
3 3 3 3 3 3 3 3 3
1 1 1 1 1 1 1 1 1
2 2 2 2 2 2 2 2 2
3 3 3 3 3 3 3 3 3,,d b c a d c a b d
d b c a d c a b d
d b c a d c a b dx y za b c a b c a b c
a b c a b c a b c
a b c a b c a b c  

e.g. Solve the following:

3x+ 2y+ z =10
5x+ 3y+2z=17
7x+ 8y+ z = 26

is given by
,,y x zD D Dx y zD D D  
Where

3 2 1
5 3 2 3(3 16) 2(5 14) 1(40 21)
781D      
=3(-13)-2(-9)+1(19)

=-39+18+19 =-2


10 2 1
17 3 2 10(3 16) 2(17 52) 1(136 78)
26 8 1xD      

=10( -13)-2(-35) + 1(58)

= -130+70+58 = -2


3 10 1
5 17 2 3(17 52) 10(5 14) 1(130 119)
7 26 1yD      

= 3(-35)-10(-9) + 1(11)
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=-105+90+11 = - 4

3 2 10
5 3 17 3(78 136) 2(130 119) 10(40 21)
7 8 26zD      

=3(-58) -2(11) + 10(19)

= -174-22+190

[ 35]
= - 196+190

= -6
Thus we get,
D=-2 ,
xD= -2,
yD = -4,
zD = -6
Substituting in
,,y x zD D Dx y zD D D   we get

2 4 61, 2, 32 2 2x y z         
Therefore, solution is x=1, y=2 and z=3.
2A.7. UNIT END EXERCISE
i) Find the value of determinant

2 1 1
A = 4 3 1
2 5 1

ii) Write the minors and co -factors of the elements of the determinant

2 3 2
A = 1 4 1
5 6 8
iii) Solve the following system of equations by using Cramer’s rule:
3x+y= 19
3x-y = 23
iv) Solve the following system of equations by using Cramer’s rule:
x+ 2y+ 3z=6
2x+ 4y+z=17
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v) Find product of the following two determinants:

3 2 1
5 3 2
781 and
258
B = 1 3 2
0 4 6 


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2B
MATRICES



UNIT STRUCTURE
2B.1 Objectives
2B.2 Introduction
2B.3 Definitions
2B.4 Illustrative examples 2B.5 Rank of matrix
2B.6 Canonical form or Normal form
2B.7 Normal form PAQ
2B.8 Let Us S um Up
2B.9 Unit E nd Exercise

2B.1. OBJECTIVES
In this chapter a student has to learn the
 Concept of adjoint of a matrix .
 Inverse of a matrix .
 Rank of a matrix and methods finding these.

2B.2. INTRODUCTION
At higher secondary level, we have studied the definition of a
matrix, operations on the matrices, types of matrices inverse of a matrix
etc.
In this chapter, we are studying adjoint method of finding the
inverse of a square matrix and also the rank of a matrix.


2B.3. DEFINITIONS

*Matrix:
A matrix is a rectangular grid of numbers, symbols or expressi ons
that is arranged in a row or column format enclosed in Square or curved
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A system of
m n numbers arranged in the form of an ordered set of m
horizontal lines called rows & n vertical lines c alled columns is called a
matrix of order
m n .
A matrix with m rows and n columns is a matrix of order m x n is
written as

11 12 1
21 22 2
12..............
................
: : ................ :
................n
n
m m mn mxna a a
a a a
a a a




 OR
11 12 1
21 22 2
12..............
................
: : ................ :
................n
n
m m mn mxna a a
a a a
a a a






* Note:
i) Matrices are generally denoted by capital letters.
ii) The elements are generally denoted by corresponding small letters.
iii) A matrix has no numerical value.

Types of Matrices:
1) Rectangular matrix :-
Any m x n Matrix where
mn is called rectangular matrix.
For e.g .

A=
232 3 4
1 2 3



2) Column Matrix :

It is a matrix in which there is only one column.

311
2
4A





3) Row Matrix:

It is a matrix in which there is only one row.

135 7 9A

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4) Square Matrix :

It is a matrix in which number of ro ws equals the number of
columns. i.e. it is n x n matrix of order n .
e.g.
2223 A46

Matrix A is a square matrix of order 2.

5) Diagonal Matrix:

It is a square matrix in which all non -diagonal elements are zero.

e.g.
33200
A 0 1 0
0 0 0




6) Scalar Matrix:

It is a square diagonal matrix in which all diagonal elements are equal.

e.g.
33500
A 0 5 0
005




7) Unit Matrix:

It is a scalar matrix with diagonal elements as unity.

e.g.
331 0 0
A 0 1 0
0 0 1




8) Null Matrix:

A matrix whose all elements are zero is said to be Null matrix.
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33000
A 0 0 0
000



9) Upper Triangular Matrix:

It is a square matrix in which all the elements below the principle diagonal
are zero.

e.g.
331 3 0
A 0 0 1
005




10) Lower Triangular Matrix:

It is a square matrix in which all the elements above the principle diagonal
are zero.

e.g.
330 0 0
A 3 4 0
1 3 2




11) Symmetric Matrix:

If for a square matrix A,

A TAthen A is symmetric
e.g.

1 3 5
A 3 4 1
5 1 9


is symmetric matrix.

12) Skew -Symmetric Matrix :

If for a square matrix A,

–A TA then it is skew -symmetric matrix.
e.g.

0 5 7
5 0 3
7 3 0A


is skew -symmetric matrix.
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Note : For a skew -Symmetric matrix, diagonal elements are always zero.

*Some more types of Matrices:
(a)Transpose of Matrix:

It is a matrix obtained by interchanging rows into columns or columns
into rows.
e.g.
231 3 5 A 3 7 9 


321 3
A 3 7
5 9TA Transpose of






(b)Determinant of a Square Matrix:

Let A be a square matrix then

A = determinant of A i.e det A= A


If (i) then
0A matrix A is called as non -singular and
If (i) then
0,A matrix A is singular.

Note : For non -singular matrix A-1 exists.


(c) Co-factor Matrix :-

A matrix C =
ijC  where
ijC denotes co -factor of the element
ija .

of a matrix A of order n x n, is called a co -factor matrix.

In above matrix
1 3 4
A = 0 2 1
3 7 6




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5 3 6
C = 10 6 9
3 1 2 


111
222
333A B C
C = A B C
A B C




Similarly for a matrix, A =
12
39
 the co -factor matrix is
C=
93
21


(d) Adjoint of Matrix :-
If A is any square matrix then transpose of its co -factor matrix is called
Adjoint of A.

Thus in the notations used,

Adjoint of
TAC = transpose of its co -factor matrix

⟹𝐴𝑑𝑗 𝐴= [𝐴1𝐴2 𝐴3
𝐵1𝐵2 𝐵3
𝐶1 𝐶2 𝐶3]


Adjoint of a matrix A is denoted as Adj. A


Thus if,

1 3 4
A = 0 2 1
3 7 6



then Co-factor of matrix
5 3 –6
A = 10 6 9
3 1 2



Adj.
5 10 –3
A = 3 6 1
6 9 2





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Note :

If
2×2abA = cd
 then Co-factor of matrix
d-cA = -b a


Adj.
d-bA = -c a



(e) Inverse of a square Matrix: -
Two non -singular square matrices of order n , A and B are said to
be inverse of each other if,AB=BA=I, where I is an identity matrix of
order n. Inverse of A is denoted as A-1 and read as A inverse.

Thus , AA-1=A-1A=I

Inverse of a matrix can also be calculated by the Formula.

A-1 =
1
A Adj. A where
A denotes determinant of A.
Note:

(i)From this relation it is clear that A-1 exist if and only if
A0
i.e. A-1 exist if and only if A is non -singular matrix.

(ii)An easy method to find the inverse of the second order matrix:

Let
2×2abA = cd
 then,
1
2×2d1
a A-bA = -c


i.e. interchange the position of a and d and change signs of b and c and
divide by
A .

*Properties of Matrix:

[1] Addition of matrices:
Addition of two matrices is possible if the number of row and
columns of two matrices are equal .
e.g.

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3 2 1
5 1 0
3 1 4A

 and
120
5 1 3
3 2 4B

 Then
4 4 1
0 2 3
6 1 8AB





[2] Multiplication of matrices:
The Multiplication of two matrices A and B is defined as AB. AB
exists if number of columns of matrix A is equal to number of rows of
matrix B. It is not necessary that AB=BA.
Sometimes BA may not exists.
eg.
3 2 1
5 1 0
3 1 4A


and
120
5 1 3
3 2 4B


Then
3 10 3 6 2 2 0 6 4 6 10 10
. 5 5 0 10 1 0 0 3 0 0 9 3
3 5 12 6 1 8 0 3 16 10 13 13AB        
                
           


2B.4. ILLUSTRATIVE EXAMPL ES

Example 1: Find the inverse of the matrix by finding its adjoint .


2 1 3
3 1 2
1 2 3A



Solution: We have,


 2 3 4 1 9 2 3 6 1A     


2 7 15  


6A
Here,
0A


1A Exists

Transpose of matrix A = AT
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T2 3 1
A 1 1 2
3 2 3



We find co -factors of the elements of A T (Row -wise)

  
  
  . . 2 1, . . 3 3, . . 1 1
. . 1 7, . . 1 3, . . 2 5
. . 3 5, . . 2 3, . . 3 1C F C F C F
C F C F C F
C F C F C F  
   
  


∴ Adj A= [−1 3 −1
−7 3 −5
5 −3−1]

∴ A-1 = 1
|𝐴|,𝐴𝑑𝑗 𝐴= 1
6[−1 3 −1
−7 3 −5
5 −3−1]



Example 2: Find the inverse of matrix A by Adjoint method, if

0 1 2
A = 1 2 3
3 1 1





Solution: Consider

0 1 2
A = 1 2 3
3 1 1




 = 0 1 1 8 2 5    

= 0 8 10

= 2

Co- factor of the elements of A are as follows

11
1123C = 1 . 111 

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12
1213C = 1 . 831
13
1312C = 1 . 531 

21
2112C = 1 . 111

22
2202C = 1 . 631 

23
2301C = 1 . 331

31
3112C = 1 . 123 

32
3202C = 1 . 213

33
3301C = 1 . 112 


Thus,
Co-factor of matrix
1 8 5
C = 1 6 3
1 2 1



And Adjoint of A= CT

11 1 1 1 1 1
1= 8 6 2 A 8 6 225 3 1 5 3 1      
         
      


Note: - A Rectangular matrix does not possess inverse.

Properties of Inverse of Matrix: -
i) The i nverse of a matrix is unique
ii) The inverse of the transpose of a matrix is the transpose of inverse
i.e.
T 1 1 T(A ) (A )
iii) If A & B are two non -singular matrices of the same order

1 1 1(AB) B A  
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This property is called reversal law.




Definition: -Orthogonal matrix: -

If a square matrix satisfies the relation
TAA I , then the matrix A
is called an orthogonal matrix and also


T1AA



Example 3:
Show that
Cosθ Cosθ A = Sinθ Cosθ

is orthogonal matrix.

Solution:
To show that A is orthogonal i.e . To show that
TAA I

Cos SinA = Sin Cos



T Cos SinA = Sin Cos




T Cos Sin Cos SinAA = Sin Cos Sin Cos   
       
   



22
22Cos Sin Cos Sin Sin Cos
Sin Cos Cos Sin Sin Cos          
     


10= I01

A is an orthogonal matrix.


Check Your Progress:

Q. 1) Find the inverse of the following matrices using Adjoint
method, if they exist. munotes.in

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i)
12,22
 ii)
23,41
 iii)
cos sin,sin cos



iv)
1 3 2
3 0 5 ,
2 5 0

 v)
cos sin 0
sin cos 0 ,
0 0 1





vi)
1 2 3
2 3 1
3 1 2

 vii)
1 1 1
1 2 3
2 1 3



Q.2) If A =
cos sin,sin cos

 B =
1 tan2,
tan 12




C =
1 tan2,
tan 12



 prove that A= B.C-1

Q. 3) If
4 3 3
A = 1 0 1
4 4 3  


 , prove that Adj. A= A

Q. 4) If
1 2 1
A = 0 1 1
1 1 2


 , verify if
(AdjA)' (AdjA')
Q.5) Find the inverse of
1 2 1
A = 0 1 1
2 2 3

 , hence find inverse of
3 6 3
A = 0 3 3
6 6 9



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2B.5. RANK OF A MATRIX

a) Minor of a matrix

Let A be any given matrix of order mxn. The determinant of any
sub-matrix of a square order is called minor of the matrix A.

We observe that, if ‘r’ denotes the order of a mino r of a matrix of
order m x n then
1 r m , if m1 r n , if n
e.g. Let

1 3 1 4
A = 4 0 1 7
8 5 4 3


  


From matrix A we get four 3rd Order determinants .

1 3 1 3 1 4 1 1 4 1 3 4
4 0 1 , 0 1 7 , 4 1 7 , 4 0 7
8 5 4 5 4 3 8 4 3 8 5 3  
  

1 3 0 1 3 4, , , 1 , 0 , 3 ,4 0 5 4 0 7

Are some examples of minors of A.

b) Definition – Rank of a matrix :

A number ‘r’ is called rank of a matrix of order mxn if there is
almost one minor of the matrix which is of order r whose value is non -zero
and all the minors of order greater than ‘r’ will be zero.
e.g.(i) Let
102
A = 2 4 1
357




121 0 0 2A = 4, A = 82 4 4 1 
etc.
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102
A = 2 4 1 1 23 2 2 19 0
357    


Rank of A= 3
(ii)
1 1 2
A = 1 2 3
0 1 1



Here,
1 1 2
A = 1 2 3 1 1 1 1 2 1 0
0 1 1     


Third order determinant is zero .

rank of A < 2
111A = 1 012

Thus minor of order 3 is zero and at least one minor of order 2 is non -zero

Rank of A = 2.

Some results:
(i)Rank of null matrix is always zero.
(ii)Rank of any non -zero matrix is always greater than or equal to 1.
(iii)If A is a non -singular n x n matrix then Rank of A is equal to n and if
A is n x n unit matrix then rank of A is equal to n .
(iv)Rank of transpose of matrix A is always equal to rank of A.
(v)Rank of product of two matrices cannot exceed the rank of both of the
matrices.
(vi)Rank of a matrix remains unaffected by elementary transformations .

Elementary Transformations:
Following changes made in the elements of any matrix are called
elementary transactions.
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(ii) Multiplying all the elements of any row (or column) by a non -zero
real number.
(iii) Adding non -zero scalar multi ples of all the elements of any row (or
columns) into the corresponding elements of any another row (or
column).
Definition: - Equivalent Matrix:
Two matrices A and B are said to be equivalent if one can be
obtained from the other by a sequence of elementary t ransformations. Two
equivalent matrices have the same order & the same rank. It can be
denoted by A ~ B
[It can be read as A equivalent to B]

Example 4: Determine the rank of the matrix.
1 2 3
A = 1 4 2
2 6 5





Solution:
Given
1 2 3
= 1 4 2
2 6 5A 



2 2 1 3 3 1R R - R & R R - 2R

We get,
1 2 3
0 2 1
0 2 1




Here two columns are identical . Hence 3rd order minor of A vanished
A 3 

Here, 2nd order minor
131001 
(A) 2
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Thus , 3rd order minor is zero and at least one minor of order 2 is non -
zero.

Hence the rank of the given matrix is 2.



2B.6. CANONICAL FORM OR NO RMAL FORM

If a matrix A of order m x n is reduced to the form
rIo
oo
 using a
sequence of elementary transformations then it called canonical or normal
form. Ir denot es identity matrix of order ‘r’ .
Note: - If any given matrix of order m x n can be reduced to the canonical
form which includes an identity matrix of order ‘ r’ then the matrix is o f
rank ‘r’.
Example 5: Determine rank of the matrix A if
2 1 3 6
A = 3 3 1 2
1 1 1 2




Solution:
2 1 3 6
A = 3 3 1 2
1 1 1 2




13R R
1 1 1 2
3 3 1 2
2 1 3 6



2 1 3 1R 3R , R 2R


1 1 1 2
3 6 2 4
0 1 5 10
  
  

23R 7R

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1 1 1 2
0 1 33 66
0 1 5 10


  

1 2 3 2R R , R R


1 0 32 64
0 1 33 66
0 0 28 56


  

31R28


1 0 32 64
0 1 33 66
0 0 1 2


  

1 3 2 3R 32 R , R 33 R


1 0 0 0
0 1 0 0
0 0 1 0





 3Io



Rank of A=3


Example 6: Determine the rank of matrix

1 2 7
A = 2 4 7
3 6 10





Solution:
1 2 3
A = 2 4 7
3 6 10





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1 2 3
2 4 7
3 6 10




32RR

1 2 3
0 0 1
000




12R 3R


1 2 0
0 0 1
000




21C 2C


1 0 0
0 0 1
000




23CC


1 0 0
0 1 0
000





 2I0



Rank of A= 2

Example 7: Determine the rank of matrix A if

1 1 2 4
2 3 1 1A =3 1 3 2
6 3 0 7  

 
 


Solution: munotes.in

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1 1 2 4
2 3 1 1A =3 1 3 2
6 3 0 7  

 
 

2 1 3 1 4 1R 2R , R 3R , R 6R ,  

1 1 2 4
0 5 3 7
0 4 9 10
0 9 12 17  







23RR


1 1 2 4
0 1 6 3
0 4 9 10
0 9 12 17  






1 2 3 2 4 2R + R , R 4R , R 9R 


1 0 8 7
0 1 6 3
0 0 33 22
0 0 66 44






43R 2R


1 0 8 7
0 1 6 3
0 0 33 22
0 0 0 0






31R 11

1 0 8 7
0 1 6 2
0 0 3 2
0 0 0 0






34C - C
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1 0 1 7
0 1 3 3
0 0 1 2
0 0 0 0






1 3 2 3R + R , R 3R 

1 0 0 5
0 1 0 3
0 0 1 2
0 0 0 0 







 4 1 2 2C - 5C 3C 2C


1 0 0 0
0 1 0 0
0 0 1 0
0000





3I0
00




Rank of A= 3

Check Your Progress :-
Reduce the following to normal form and hence find the ranks of the
matrices.
i)
1 2 3
3 1 2
 ii)
2 3 4
4 3 1
1 2 4


 iii)
3 4 6
5 5 7
3 1 4

  

iv)
1 2 3 0
2432
3 2 1 3
6 8 7 5




 v)
2 1 3 6
3 3 1 1
1 1 1 2

 vi)
1 2 1 0
3 2 1 2
2 1 2 5
5 6 3 2
1 3 1 3







2B.7. NORMAL FORM PAQ
If A is any m x n matrix of rank ‘r’ then there exist non-singular
matrices P and Q such that, PAQ is in normal form.
rI0PAQ00
, where I r is the unit matrix of order r, hence
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We observe that, the matrix A can be expressed as
A = I m In ………… (i)
Where I m and In are the identity matrices of order m and n
respectively. Applying the elementary transformations on this equation. A
in L.H.S. can be reduced to normal form. The equation can be
transformable into the equations.
rI0PAQ00
………… (ii)

Note that, the row operations can be performed simultaneously on
L.H.S. and pre -factor in R.H .S. [i.e. Im in equation (i) ] and column
operations can be performed simultaneously on L.H.S. and post factor in
R.H.S. [i.e. In in equation (i)]
Examples 8: Find the non -singular matrices P and Q such that PAQ is in
normal and hence find the rank of A.
i)
2 1 3
A 3 4 1
1 5 4



Solution: Consider

A= I 3 AI3

2 1 3 1 0 0 1 0 0
3 4 1 = 0 1 0 A 0 1 0
1 5 4 0 0 1 0 0 1     
          
          

13R R


1 5 4 0 0 1 1 0 0
3 4 1 = 0 1 0 A 0 1 0
2 1 3 1 0 0 0 0 1     
          
          

2 1 3 1C 5C , C 4C

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1 0 0 0 0 1 1 5 4
3 11 11 = 0 1 0 A 0 1 0
2 11 11 1 0 0 0 0 1      
          
          
23R R

1 0 0 0 0 1 1 5 4
1 0 0 = 1 1 0 A 0 1 0
2 11 11 1 0 0 0 0 1      
          
          

2 1 3 1 R R , R 2R


1 0 0 0 0 1 1 5 4
0 0 0 = 1 1 1 A 0 1 0
0 11 11 1 0 2 0 0 1      
          
          

32C C

1 0 0 0 0 1 1 5 1
0 0 0 = 1 1 1 A 0 1 1
0 11 0 1 0 2 0 0 1      
          
          

31 R 11

1 0 0 0 0 1 1 5 1
0 0 0 = 1 1 1 A 0 1 1
0 1 0 1 2 0 0 1 011 11                   

23R R


0 0 1 1 0 0 1 5 1
12 0 1 0 = 0 A 0 1 111 11
0 0 0 0 0 1 1 1 1                      


Thus ,
0 0 1 0 0 1
11 2 1 2 P = 0 and P = 0 = 11 11 11 11 11
1 1 1 1 1 1
 
   

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1 5 1 1 5 1
Q = 0 1 1 and Q = 0 1 1 = 1
0 0 1 0 0 1   




P and Q are non -singular matrices . Also Rank of A = 2

ii)
2 1 3 6
A 3 3 1 2
1 1 1 2



Solutions:
Consider :

1 0 0 01 0 00 1 0 0A= 0 1 0 A 0 0 1 00 0 10 0 0 1     
1 0 0 02 1 3 6 1 0 00 1 0 03 3 1 2 0 1 0 A 0 0 1 01 1 1 2 0 0 10 0 0 1                     

13RR

1 0 0 01 1 1 2 0 0 10 1 0 03 6 2 4 0 1 0 A0 0 1 02 1 5 10 1 0 00 0 0 1                          

2 1 3 1 4 1C C , C C , C 2C  


1 1 1 21 0 0 0 0 0 10 1 0 03 6 2 4 0 1 0 A0 0 1 02 1 5 10 1 0 00 0 0 1                          

2 1 3 1R 3R , R 2R

1 1 1 21 0 0 0 0 0 10 1 0 00 6 2 4 0 1 3 A0 0 1 00 1 5 10 1 0 20 0 0 1                            
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23R 6R
1 1 1 21 0 0 0 0 0 10 1 0 00 0 28 56 6 1 9 A0 0 1 00 1 5 10 1 0 20 0 0 1                        

43C 2C

1 1 1 01 0 0 0 0 0 10 1 0 00 0 28 0 6 1 9 A 0 0 1 20 1 5 0 1 0 20 0 0 1                        

32C 5C


1 1 4 01 0 0 0 0 0 10 1 5 00 0 28 0 6 1 9 A 0 0 1 20 1 0 0 1 0 20 0 0 1                       

231R , R 128  

1 1 4 0 0 0 11 0 0 00 1 5 0 3 1 90 0 1 0 A 0 0 1 2 14 28 280 1 0 01 0 2 0 0 0 1             

23RR


1 1 4 01 0 0 0 0 0 10 1 5 00 1 0 0 1 0 2 A 0 0 1 20 0 1 0 3 1 90 0 0 114 28 28            




 31 1 4 00 0 10 1 5 0I 0 = 1 0 2 A 0 0 1 23 1 90 0 0 114 28 28  
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0 0 1
1 P = 1 0 2 , P283 1 9
14 28 28







1 1 4 0
0 1 5 0Q = , Q 10 0 1 2
0 0 0 1
  





P & Q are non - singular. Also, Rank of A = 3.


Check Your Progress :
A) Find the non -singular matrices P and Q such that PAQ is in normal
form and hence find rank of matrix A.


i)
1 0 2
2 3 4
3 3 6

 ii)
1 2 3 2
2 3 5 1
1 3 4 5


 iii)
3 1 1
1 1 1
1 1 1



iv)
2 3 4 7
3 4 7 9
5 4 6 5

   v)
1 3 5 7
4 6 8 10
15 27 39 51
6 12 18 24







2B.8. LET US S UM UP

 Definition of matrix & its types of matrices .
 Using Adjoint method to find the
1A by
using formula
11A adjAA
 Rank of the matrix using row & column transformation
 Using canonical & normal form to find Rank of matrix.

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2B.9. UNIT END EXERCISE
i)Find the inverse of matrix
1 2 3
456
7 8 9A

 if exists.

ii) Find Adjoint of Matrix
1 1 1
0 2 1
2 1 1A


iii)Find the inverse of A by adjoint method if
1 0 2 1
1 1 0 1
1 0 1 2
2 3 1 0A






iv) Find Rank of matrix
1 2 3
456
7 8 9A




v) Prove that the matrix
0
0
0 0 1Cos Sin
A Sin Cos


 is orthogonal .
Also find
1.A


vi) Reduce the matrix
0 1 3 1
1 0 1 1
3 1 0 2
1 1 2 0A


 to the normal form
 and
find its rank.


vii) Find the non - singular matrix
ρ and α such that
ρ A α is the normal
form when
1 1 1
1 1 1
3 1 1 A = 

 .Also find the rank of matrix A.


viii) Under what condition t he rank of the matrix will be 3? munotes.in

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2 4 2
2 1 2
10 A =





ix)If
1 1 1 1 2 1
2 3 4 & Y 6 12 6
3 2 3 5 10 5X =       
      
      

Then show that
 xy yx where
 denotes Rank.

x) Find the rank of matrix
8 3 6 1
1 6 4 2
7 9 10 3
15 12 16 4 A = 








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3A
SIMPLE INTEREST
&
COMPOUND INTEREST

UNIT STRUCTURE
3A.1 Introduction
3A.2 Unit End Exercise

3A.1. INTRODUCTION

Suppose we invest money in the bank for a specific period. At the
end of the period, the bank not only returns our money, invested, but in
addition will give some ‘extra money ’ for using our money which was
kept with them. That extra money we earn is calle d interest.
Many times we borrow some money from our friends or relatives
for personal needs. A large amount may be needed which can be taken
from banks, financial institutions etc. as a loan. In this case we have to pay
extra money w hile repaying the loa n. That extra money paid for makin g
use of their money is called I nterest.

Some useful terms:

(i) Principal (P): The amount or the sum of money which is borrowed,
invested i n a bank or l anded is called the principal (P).

(ii) Interest (I): The ‘extra money’ paid in addition to the principal, is
called Interest (I).

(iii) Amount (A): The total money, including Principal and interest is
called Amount (A).

(iv) Period (‘n’ or ‘t’): The specified pre -decided period is called the
period of inv estment, it is expressed in ‘years’ and it is denoted by
‘n’ or ‘t’.

(v) Rate of Interest: The intere st to be paid by the concerned p arty is
calculated as a ‘Percentage’ of the Principal for specific time period, munotes.in

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at the pre -decided yearly rate. This rate is called the Rate of Interest
per year. It is usually expressed as a percentage of the principal.
 The Interes t is calculated in two ways as S imple Interest and
Compound I nterest.
*Simple Interest: (I)

If the interest is charged or calculated on the prin cipal, then it is called
simple interest.

The simple interest I on the principal P at the rate of r %, for the period n
(years) is given by

𝐼= 𝑃×𝑛×𝑟
100 OR 𝐼=𝑃×𝑛×𝑖 Where 𝑖= 𝑟
100

*Amount (A) at the end of n (years) is given by

A P I


100
1100
1
1pnrP
nrP
P in
A P i n


  

Examples :
(1) If Rs.5, 000 is invested at 5% per annum. Find the amount after (1)
One year (ii) Five years (iii) 6 months (half yearly) (iv) 4 months.
Soln:
If A = Amount, P = Principal, r = rate of interest,
100ri ,
n = time period in years. Then
 1 A P in
Here P = 5000, r = 5%
 i = 0.05
(i) After one year, n = 1
A = P (1 + in) = 5000(1 + (0.05) × 1)
= 5000(1 + 0.05)
= 5000(1.05)
= 5250

(ii) After five years, n = 5
A = P (1 + in) = 5000(1 + (0.05) × 5) munotes.in

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= 5000(1 + 0.25)
= 5000(1.25)
= 6250
(iii) After six months,
61
12 2n years
A = P (1 + in) = 5000(1 + (0.05) (1/2))
= 5000(1 + 0.025)
= 5125

(iv) After 4 months,
41
12 3n years
A = P (1 + i n) = 5000(1 + (0.05) (1/3))
= 5000
0.0513
= 5000(1.0167)
= 5835

(2) Find the simple interest of Rs.2000 for 5 years at 6% per annum.
Also find amount after 5 years.
Soln:
Given : P = Rs.2000, n = 5 years, r = 6% p.a. i.e. i = 0.06

 Simple Interest
I P n i  

2000 5 0.06  

.600Rs

 Amount after 5 years = A = P + I
= 2000 + 600
= Rs.2600
Hence the simple Interest is Rs.600 and the amount after 5 years is
Rs.2600.

(3) At what simple interest rate will Rs.6, 000 get Rs.1, 080 as simple
interest in 3 years.
Soln:
Given P = Rs.6000, n = 3 years, I = Rs.1080
I = P × n × i

 1080 = 6000 × 3 × i

 1080 = 180 00 i

1080 60.0618000 100i   

 The simple interest rate is 6% per annum. munotes.in

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(4) What sum of money will amount to Rs.6050 in 3 years at 7% p.a.
simple interest ?
Soln:
Given A = Rs.6050, n = 3, r = 7%


70.07100i , P = (?)
A = P (1 + n i)

 6050 = P (1 + 3 × 0.07)

 6050 = P (1 + 0.21)

 6050 = P (1.21)

605050001.21P

Rs.5000 is the required sum of money.

(5) In how many years will Rs.3, 500 amount to Rs.4, 200 at 5% p.a.
simple Interest ?
Soln:
Given: P = 3,500, A = Rs.4, 200, r = 5%p.a.

50.05100i , n = (?)
A = P (1 + ni)

 4200 = 3500( 1+ 0.05 × n)


42001 0.053500n

1.2 1 0.05 n   

0.05n 1.2 1 0.2   

0.05 0.2 n

0.240.05n  

4n


The time required is 4 years .

(6) A sum of money amounts to Rs.6, 600 in 2 years and Rs.7 , 200 in 4
years. Find the sum and the rate of simple interest.
Soln:
Let P = Principal, r = Rate of S.I. Per annum

We have
A P I

100pnrAP   munotes.in

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 6600 =
2
100prP

26600100prP   …. (1)

 7200 =
4
100prP

47200100prP   …. (2)
Subtracting (1) from (2)
427200 6600100 100     pr prpp


2600100pr
Substituting
2
100pr in eqn. (1)

6600 600
.6000P
P Rs  

Also
2600100pr

2 60000
Pr 30000pr

Substitute P = 6000,
We get 6000 r = 30,000

3000056000r  

 The rate of simple interest is 5% p.a.

(7) Mr. Amit lent Rs.17, 000 for 3 years and Rs.12, 000 for 4 ye ars at
the same rate of simple interest. Find the rate if the total interest
received was Rs.9900.
Soln:
Let r be the common rate of simple interest percent per annum.
For the first loan, P = Rs.17000, n = 3 year

17000 3
51000I p n i
i
i  
  

For the second loan, P = Rs.12000, n = 4 years


12000 4
48000I p n i
i
i  
  
 munotes.in

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 Total interest = 51000 i + 48000 i = 99000i
But this is given to be Rs.9900

 9900 0 i = 9900

99000.199000i  

 r = 10%

 The common rate of S.I. is 10% p.a.

(8) Hina and Mita borrowed Rs.8000 and Rs.15, 000 respectively at the
same rate Simple Interest. After 3 years Hina repayed the loan by
giving Rs.10160. How much amount should Mita pay after
142
years, to pay off the loan, including simple interest ?
Soln:
Let r be the rate of interest p.a.

For Hina:

1..100
8000 3
100
240p n rSI
r
r


Now the S .I., she paid = 10160 – 8000 = 2160


 2160 = 240r
 r = 9

For Mita :

2..100
15000 4.5 9
100
6075p n rSI


The total amount = 15 , 000 + 6075
= Rs.21, 075

Mita should pay Rs.21 , 075 after
142 years to pay off the loan,
including Simple Interest.

*Compound Interest (C. I.) :
If periodically the interest due is added to the principal and the
interest for the next period is calculated on this addition, then it is called as munotes.in

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compound interest. Since the compound interest is the interest on interest
over a period of time, it depend s on the frequency of the interest
redeemed.
e.g. If Rs.50,000 you deposit in a bank for 2 years a t 7% p.a.
compounded annually. The interest will be calculated in the following
way.

Interest for the First Year:
I = P × i × n = 50,000 × 0.07 × 1 = Rs.3, 500
Interest for the Second year.
Here for calculating interest for the second year principal would
not be the initial deposit, but Principal for calculating second year will be
initial deposit plus interest for the first year. Therefore, principal for
calculating second year interest would be
Rs.50000 + Rs.3500 = Rs. 53 , 500

Interest for the second year = 53500 × 0.07 × 1
= Rs. 3 , 745

Total interest = Interest for first year + Interest for 2nd year.
= Rs.3500 + Rs.3745
= Rs.7 , 245
At the same time the simple interest for 2 years of R s.5000 at 7% p.a. is
S.I. = P × n × i
= 50000 × 0.07 × 2
= Rs.7 , 000
So compound interest for a principal is more than simple interest on
the same amount for the same period.
So we can summarize the main difference between simple interest and
compound interest is that in simple interest the principal remains constant
throughout whereas in the case of compound intere st principal goes on
changing at the end of specified period.
The Formula for amount A is
 11100   n
n rA P P i
, Where
100ri , A = Amount. munotes.in

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P = Principal, r = rate of interest per period, n = period of time
The formula for comp ound interest is


1
11n
nCI A P
P i P
Pi
  
  
Note: In case of compound interest calculations, it is easier to first
calculate the amount A.
 The compound interest for kth period is calculated as follows :
Interest for kth period =
11kP i i
The interest can be compounded year ly, half -yearly quarterly or, monthly,
then amount A at the end of n years is given by

1mniAm
Where
100ri rate of interest p.a.
n = number of years
m = number of times the interest is compounded per year.
e.g. m = 2 if interest is compound half yearly
m = 4 if interest is compound quarterly
m = 12 if interest is compound monthly.
Examples:
(1) Find the compound interest and the amount after 3 years on a
Principal of Rs.15000 at 10% p.a.
Soln: Given : P=Rs.15,000, n=3 years, r = 10%

100.10100i
A= P (1 + i)n C.I. = A – P
= 15000 (1 + 0.10)3 = 19965 – 15000
= 15000 (1.10)3 = Rs.4965
= 15000 (1.331)
= 19965
Thus the compound interest is Rs.4965 and the amount after 3 years is
Rs.19, 965.
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(2) What sum of money will amount to Rs.40, 31, 078.40 in 3 years at 8%
p.a. comp ound interest?
Soln:
Given: n = 3 years, r = 8% = i = 0.08, A = 40, 31, 078.40, P = (?)
A = P (1 + i)n

 40, 31,078.40 = P (1+0.08)3

 40, 31, 078.40 = P (1.08) 3

 40, 31, 078.40 = P (1.259712)


40,31,078.4032,00,0001.259712P
The required sum is Rs.32, 00, 000

(3) At what rate of compound interest would an amount double itself in 4
years ? (Given:
1
32 =1.2611,
1
32 =1.1892)
Soln:
Given that A = 2P & n = 4 years


4
41
21
2 (1 )nA P i
p p i
i
  
  

1
421
1.892 1
0.1892i
i
i  
  



18.92%r

 The required rate of compound interest is 18.92%

(4) The bank offer fixed deposits for 4 years. Under the following
schemes.
(i) At 12%, if the interest compounded annually.
(ii) At 11% if the interest compounded half -yearly?
State which scheme is more beneficial to the public?
n = 4 years for both schemes.
Soln: munotes.in

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Suppose P = 100 then
(i) For the interest compounded annually,
P = 100, n = 4, r = 12% i.e. i = 0.12

 A = P (1 +i)n
= 100 (1 + 0.12)4
= 100(1.12)4
= 100 (1.573519)
= 157.3519

 Interest on first scheme = A – P
= 157.3519 – 100 = 57.3519
(ii) For the interest compounded half yearly i.e. m = 2
i = 0.11, n = 4 years
2
12niAP  

=
240.11100 12
=
8100 1 0.55
=
8100 1.055
=
 100 1.5346865
=
153.46865

Interest on second scheme = A – P
= 153.46865 – 100
= 53.46865

Since interest on first scheme is more than the interest on second
scheme, therefore the first scheme is more beneficial to the public.

(5) A man borrowed a certain amount for 2 years from his friend at 3%
and had to pay a simple interest of Rs.120. He o nce again took a loan of
the same amount for 4 years from a bank at 15% interest, compounded
quarterly. Find the interest he will have to pay to the bank.
Soln: munotes.in

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73
The problem is in two parts.
(i) First find the principal P by using simple interest for mula for gi ven
S.I = 120, n = 2 & r = 3% i.e. i = 0.03
S.I. = P× n × i, Where S.I. = 120, n = 2 & i = 0.03
120 = P × 2 × 0.03

 120 = 0.06 P

120 1200020000.06 6
2000P
P   

(ii)The loan of same amount P =2000 (P we found in (i) ),
n=4years, r=15%
 i = 0.15 and compounded quarterly.
By using formula of A & C.I. find the final answer.
P = 2000, i = 0.15, n = 4, m = 4

441
0.152000 14mniApm


= 2000(1 + 0.0375)16
= 2000(1.0375)16
= 2000(1.8022278)
= 3604.4556
& C. I = A – P
= 3604.4556 – 2000
= 1604.4556
 Nominal and Effective rate of Interest :
Suppose the interest is compounded in times a year
Let i = nominal rate (stated rate) of interest per R e.1 per year
ie = effective rate of interest per Re.1 per year
P = Re. 1
N = 1 year
Then Accumulated value A after 1 year
(i) Using the nominal rate of interest
1mpAm munotes.in

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(ii) Using the effective rate of interest
111ee A i i   
Equating (i) & (ii)
11m
eiim  

i.e.
11m
eiim  
Ex.: Find the effective rate equivalent to the nominal rate 16% p.a. when
compounded (i) half yearly (ii) quarterly
Soln:
160.16100i
(i) Interest compounded half years, m = 2

11m
eiim   

2
20.16112
1 0.08 1
1.1664 1
0.1664  
  



 Effective rate of interest per Re.1 per year is 0.1664

 Effective rate of interest percent per year
= 100 × 0.1664 = 16.64%
(ii) Interest is compounded quarterly, m = 4

4
411
0.16114
1 0.04 1m
eiim   
  
  

41.04 1
1.16985856 1
0.16985856



Effective rate of interest percent per year is
= 100 × 0.16 985856 = 16. 98585690 munotes.in

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Ex: Which rate yields more interest?
5.8% compounded half -yearly or 6% compounded quarterly .
Soln:
(i) The effective rate of 5.8% comp ound half -yearly
i = 0.058 and m = 2

2
211
0.0.058112
1 0.029 1m
eiim  
  
  
= 1.0588 41 – 1 = 0.058841
Effective rate 5.8841% p.a.
(ii) The effective rate of 6% compounded quarterly i = 0.06 and m = 4

4
411
0.06114
1 0.015 1
1.06136355 1m
eiim  
  
  




ei = 0.06136355

 Effective rate 6.13 6355% p.a.
6.136355 > 5.8841
Hence 6% compounded quarterly yields more interest than 5.8%
compounded half -yearly.
* Future Value
An amount (Accumulated Amount) of a sum of money including the
interest amount after specified period at a given rate of interest is
called Future Value.
If principal P is kept in a fixed deposit for n years 1% rate of
interest, compounded annuall y then Future Value is calculated by
using the formula. munotes.in

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 .1nF V A P i  
i.e. sum due = Principal
1ni
Ex: Find the future value of Rs.24, 500 kept as a fixed deposit, after
years at 7% p.a. compounded annually.
Soln: P = Rs.24, 500, n = 7 years , r = 7% i = 0.07, A = (I)
A = P (1+i)n
= 24500(1+0.07)7
= 24500(1.07)7
= 24,500(1.60578 )
= Rs.39341.65
Ex: Mr. Mehta was approached by a person with two schemes, as he
wanted to invest Rs.1, 20, 000. In Schemes A, the period was 8 years
with 9% rate p.a . compounded annually. In schemes, the period was
10 years with 8% compounded inter est p. a. Advise him about the
choice of scheme w.r.t. the amount to be received.
Soln:
Scheme A:
P = 1, 20, 000, n = 8 years, r = 9%
 i = 0.09, A =?
A = P (1 + i)n
= (1, 20, 000) (1+0.09)8
= 1, 20, 000(1.09)8
= 1, 20, 000(1.9925626.4168)
= 239107.52
Scheme B:
P = 1, 20, 000,n = 10 years, r = 8%
 i = 0.08
A = P (1 + i)n
=1, 20, 000(1 + 0.08)10
=1, 20, 000 (1.08)10
=1, 20, 000(2.15892499725 )
=259070.9 = 259071
In scheme B Mr. Mehta received more amount, so choice is scheme B.
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* Present Value :
The present value concept is useful when we wish to target for an
amount A after n years and wish to know what amount p should be
invested presently to achieve the target. Then A, the amount is called sum
due and P is called its present value (Present worth) or discounted value.
* Discounting:
The process of finding the present value of a sum due is called
discounting.
Present Value =
Sum due
1ni
i.e.
..
1nAPV
i

Ex: Find the Present Value of Rs.14, 641 at 10% rate of inte rest, payable 4
years from now.
Solun:
Here A = Rs.14641, r = 10%
 i = 0.10, n = 4 year



4
4..
1
14641
1 0.10
14641
1.10
14641
1.4641nAPV
i






= 10,000

 Present value is Rs.10, 000

Ex: Sohail pr omised to pay Amir Rs.15, 000 after 3 years with compound
rate of interest 8% p.a. He also promised to pay Aakash Rs.20, 000
after 4 years with compound rate of interest 9% p.a. Find the present
worths of these payments. Also find the total present worth of the
money Sohail has to pay.
Solun: munotes.in

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P.V. of Payment of Amir:

15000, 3, 8% 0.08    A n r i



3
3..
1
15000
1 0.08
15000
1.08
15000
1.259712nAPV
i






P.V. =
.10,907.484Rs
P.V. of Payment of Aakash:

20000, 4, 9% 0.09    A n r i


4..
1
20000
1 0.09
20000
1.41158161nAPV
i





 P.V. =
.14,168.504Rs
Total present worth of the money Sohil has to pay
= 11,907.484 + 14,168.504=Rs.26, 075.988
Ex: Mr. XYZ has to pay an institution Rs.16, 800 after 3 years. He offers
to pay the institution now at the present value at interest compounded
8%p.a . What amount should he pay now ?
Soln:
Here A = 16800, i = 0.08, n = 3

3..
11
16800
1.08
16800
1.259712
13336.3816nAPV




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Mr. XYZ should pay Rs. 13336.3816 now .

Ex: Mr. PQR has to pay an institution Rs.13336.38 now.
If he agrees to pay a lump sum after 3 years with interest compounded at
8% p.a. What is the amount that he will have to pay ?
Soln:
P = 13336.38, n = 3, i = 0.08

F.V. = P (1 +i)n
= 13336.38(1+0.08)3
= 13336.38(1.08)3
= 13336.38(1.259712)
= 16799.9979 = Rs.16, 800
Mr. PQR will have to pay Rs.16, 800.

Ex.: Mr. Das has to pay an institution Rs.10, 000 at the end of 2 years and
Rs.6, 000 at the end of 3 years from now. If he opts for paying a lump
sum at the end of 3 years, what will be the future value at that time at
interest compounded 8% p.a. ?
Soln:
The amount of the payment of Rs.6000 paid at the end of 3 years is
Rs.6000 itself.
The amount of the payment of Rs.10, 000 at the end of 2 years. Its
amount at the end of 3 years is
A = P (1 + i)n

 A = 10000(1.08)1
= 10000 × 1.08
= 10,80 0

The total future value of all payments at the end of 3 years
= 6000 + 10,800
= Rs.16, 800
Mr. Das has to pay Rs.16, 800 at the end of 3 years.
Ex.: Mr. Patel has to pay an institution Rs.10, 000 at the end of 2 years
and Rs.6000 at the end of 3 years from now. If he decides to settle the munotes.in

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payments now, what is the present value at interest compounded
8% p.a. ?
Soln:
1st Payment :
Here A = 1 0000, n = 2 & i = 0.08

..
1nAPV
i


210000
1.08

210000
1.08
10000
1.1664

= 8573.3882
2nd Payment:
A=6000, n=3, i=0.08



3
3..
11
6000
1.08
6000
1.08
6000
1.259712nAPV




= 4762.99344

Total present value of all payments taken together
= 8573.3882 + 4762.99344
= 13336.38164

Present value is Rs.13336.38164 at interest compounded 8% p.a.

3A.2. UNIT END EXERCISE:
(1) At what rate will the simple interest on Rs. 15,000 for 4 years are
equal to the simple interest on Rs. 16,000 for 3 years at 10% p.a.?
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(2) A principal amounts to Rs.9, 680 after 3 years and to Rs.10, 800 after
5 years. Find the principal and rate of interest.


(3) Anita and Amisha borrowed Rs.8, 000 and Rs.15, 000 respectively at
the same rate of simple interest. After 3 years Anita repaid the loan by
giving Rs.10, 160. How much amount should Amisha pay after four
and half years, to pay off the loan, including simple interest?

(4) The simple interest at 20% p.a. on a certain sum of money for 4 years
is Rs. 25,600. Find compound interest on the sum at the same rate for
the same period?

(5) Mr. XYZ wants to purchase smart phone after 4 years which will cost
him Rs. 25,000. How much money he should invest in bank at present
so as to receive Rs. 25,000? If the bank is giving 12% per year rate of
compound interest.
(6) A particular sum of money amounts to Rs.7, 69,824 in 2 years and Rs.
8, 31,409.92 in 3 years. Find the sum and compound interest rate.

(7) On what sum of money will be the difference between the simple
interest and compound interest for 2 years at 4% p.a. be Rs. 56?

(8)The simple interest and the compound interest on a sum of money at a
certain rate for 2 years is Rs. 1260 and Rs.132 3 respectively. Find the
sum and the rate.

(9)A sum of Rs. 6,55,000 is invested in a fixed deposit giving 10% p.a.
compound interest. Find the interest in 4th year.

(10) Find the maturity amount of a 2 year fixed deposit of Rs. 10,000 at
10% p.a. if the interest is compounded semi -annually.

(11)Find the effective rate equivalent to the nominal rate 16%p.a. when
Compounded (i)half yearly(ii)quarterly

(12)Which rate yields more interest :5.8% compounded half -yearly or 6%
compounded quarterly?

(13)Find the future value of Rs. 20,000 after 4 years if the compound
interest rate is 10%.

(14)Find the present value of Rs. 35, 730.48 to be paid three years from munotes.in

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now w ith the rate of compounding at 6% p.a.

(15) Mr. ABC estimates that after 3 years he would requires 50, 00,000
for his new business. He wishes to put aside money now, invested in
an instrument giving interest 7% p.a. compounded half yearly to meet
his requirement then. How much money should he invest presently?

(16)A person is supposed to pay a bank Rs. 5000, Rs. 6000 and Rs. 7000
at the end of 1,2and 3 years r espectively. He offers to settle the
payment now itself. How much will he have to pay now, with rate of
compounding at 12% p.a.?

(17) A person is supposed to pay a company Rs. 5000, Rs. 6000 and Rs.
7000 at the end of 1,2and 3 years respectively. He asks the company
if he can settle the payment by directly by paying a lump sum at the
end of 3 years. The company puts a condition that he should pay a
compound interest at 12% p.a. What amount will he have to pay at
the end of 3 years?








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3B
Annuit y
UNIT STRUCTURE
3B.1. Introduction
3B.2. Type of Annuity
3B.3. Examples
3B.4. Unit E nd Exercise

3B.1. THE CONCEPT OF ANNUITY:
In real life, we all must have gone through with different situations
where we do not have enough amount of money but still we want to buy
things for our use. At that time we borrow the amount and to repay back we
fix some time in which we retu rn fixed amount at regular intervals.
These equal amounts being returned at specific periods and introduces the
concept of annuity.
Pension honoured by the employer to the retired personnel, instalment
to the loans, insurance premiums, salary of the employees distributed by the
company, etc. are few examples of annuity.

* Characteristics of Annuity:
 Annuity is a series of payments.
 Annuity paid is of equal amounts and is fixed.
 Annuity is paid at equal interval of time. It could be either annually,
semi-annually, quarterly, monthly etc.
 Annuity can be paid either at the beginning or at the end of each
payment period.
 Annui ty payments are periodic in nature.

*Annuity : The series of payments made at successive interval of time is called
an Annuity.


3B.2. TYPES OF ANNUITY:

*Uniform Annuity:
If the payments of an annuity are of equal amounts for equal interval of
time and continue for entire term period, it is called uniform annuity. E.g.
Loan instalments.
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*Varying Annuity:
If the amount of payments of an annuity are unequal and no n-uniform.
Though the payments are made at regular intervals but their amounts are not
same is also known as non -uniform or varying annuity. E.g. Dividends on
bonds, mutual funds.

*Annuity Certain :
If the payments are made or received after a fixed period of time, it is known
as Annuity Certain. Any form of loan instalments or advancements, bank
recur ring are examples of annuity certain.

*Contingent Annuity :
An annuity with number of payments depending on happening an event is
Contingency Annuity i.e. Annuity that does not begin making payments to the
annuitant or the beneficia ry until a certain stated event occurs. E.g.
Annuities that do not begin payments until an individual's retirement or
death.

*Perpetual Annuity (perpetuity): An annuity supposed to go on perpetually
or endlessly is a Perpetual Annuity or a Perpetuity. i.e. The payments
continues forever. E.g. Pension, Cap rate in real estate and dividend stream on
shares.

*Immediate Annuity ( Ordinary annuity) : If the annuities are paid at the end
of each period, it is known as an Immediate Annuity. It is also known as an
Ordinary Annuity. E.g. repayment of loan instalments.

*Annuity Due : If Payments are paid at the beginning of each period, it is
called an Annuity Due. E.g. payment of life insurance policies.

*Deferred Annuity :
If the periodic payments are not made in the beginning of some time periods
and thereafter continues periodically is called Deferred Annuity. The period
during which payments are not made are known as period of deferment. E.g.
In general repayment of home loan instalments begins after the loan has been
disbursed.

*Accumulated Values (or Future value) (Immediate Annuity):
Let each annuity be of Rs. C, rate of in terest per unit per annum be i.
Payments are made at the end of each period, then amount or accumulated
value A
Accumulated Value
. . (1 ) 1n CF V ii    
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*Present Value (Immediate Annuity):
Let C -an annuity, n -no. of time periods, i -rate of interest per unit p.a.

. . 1 (1 )n CPV ii  
*Accumulated Values (or Future value) (Annuity due):
Let each annuity be of Rs. C, rate of interest per unit per annum be i.
Payments are made at the beginning of each period, then amount or
accumulated value A

Accumulated Value
(1 )(1 ) 1n Ciii  

*Present Value (Annuity due):
Let C -an annuity, n -no. of time periods, i -rate of interest per unit p.a.


(1 ). . 1 (1 )n CiPV ii   
*Present value of Deferred Annuity:
A deferred annuity is characterized by a payment which is made at some later
date, rather than the beginning or end of the time period.
Let us consider, ‘m’ to b e the deferment period and for ‘n’ periods payments
are due to be made at the en d of each periods after deferment period. The
following formula calculates the present value of deferred annuity.
(1 ). . 1 (1 )m
n CiPV ii
    


*Amortization of the Loan :
The process of gradual elimina tion of a loan through regular i nstalments
that are sufficient to cover both the principal and the interest, is called as
amortization of the loan.
* Each EMI consists of two parts, one representing interest on the outstanding
balance loan and the other representing part of the principal to be repaid.

*Amortization Table:
The calculations of an amortized loan may be displayed in an
amortization table. The table lists relevant balances and dollar amounts for
each period. Each period is a row in the table, while the columns are typically
current loan balance, total monthly payment, interest portion of payment,
principal portion of payment and ending outstanding balance. The ending
outstanding loan balance of one period becomes the current loan balance for
the next.

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*Equated Monthly Instalments (EMI):
The loan taken from ban ks or any financial institutions repai d as an immediate
annuity in equal instalments with the unit time per iod of loan. This instalment
is known as EMI.

*Interest on reducing balance method :
The method using the present value of annuity using co mpound interest to
calculate the EMI is called the method of reducing balance.
is called the method of reducing balance.


3B.3. EXAMPLES:
[1] Himanshi opened a recurring deposit in a bank for 3 years with
payments of Rs.
4000 paid at the end of each year. Find the money obtained at the end
of period with
6% p.a.
Solution:
Annuity Immediate -Payment at the end of the year
Here C=Rs.4000, i =0.06, n=3 years

 
 3
3. . (1 ) 1
4000(1 0.06) 10.06
66666.6667 (1.06) 1
66666.6667 1.191016 1
66666.6667 (0.191016)
.12734.40n CF V ii
Rs  
  
 




Hence, Himanshi obtained Rs. 12734.40 at the end of 3 years at 6% p.a.

[2] Rashmi deposits Rs.6000 at the end of every month for 4 years with
9% compound
interest p.a. What is the total amount she will receive at the end of the
period?
Solution: munotes.in

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Annuity Immediate -Payment at th e end of the month

Here C=Rs.6000, i=0.09/12=0.0075, n=4x12=48month


 
 48
48. . (1 ) 1
6000(1 0.0075) 10.0075
8,00,000 (1.0075) 1
8,00,000 (1.43140533 1
8,00,000 (0.43140533
345124.264n CF V ii  
  
 




Thus , Rashmi will receive the final amount Rs. 345124.264 after 4
years.


[3] Find the present value of immediate annuity of Rs.16, 000 per year
for 3 years at 10%
p.a.
Solution:
Here C =Rs.16, 000, n=3 years, i=0.10, P=?


. . 1 (1 )n CPV ii  


3
316000. . 1 (1 0.10)0.10
160000[1 (1.10) ]PV
  

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31160000 1(1.10)
1160000 11.331
160000[1 07513]
160000[0.2487]
39792






 P.V. is Rs.39792

[4] A man purchases a house and takes a mortgage on it for Rs. 10, 00,000 to
be paid off in 4 years by equal annual payments payable at the end of each
year. If the interest rate is 6% p.a., find the sum of money that he will pay each
year.
Solution:
Here P=Rs. 10, 00, 000, n=4 years, i=0.06, C=?


10,00,000 1 (1 )n Cii  

410,00,000 1 (1 0.06)0.06C    


410,00,000 0.06 [1 (1.06) ] XC  
4160,000 1(1.06)C   
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160,000 11.262477
60,000 [1 0.79209]
60,000 [0.20791]
60,000 0.20791
60,000288586.400.20791C
C
C
C
C   
  


  
Hence, each instalment would be of Rs. 288586.40

[5] Miss. MNO purchased a home -theatre on instalment basis such that Rs.
6000 and the remaining amount to be paid in 4 equal quarterly instalments of
Rs.3000 each payable at the end of each quarter. Find the cash price of the
system if the rate of compound interest is 7% p.a.
Solution:
Here C= Rs.6, 000, n=1x4=4 years, i=0.07/4 =, P=?


4
4
4. . 1 (1 )
30001 (1 0.0175)0.0175
171428.57[1 (1.0175) ]
1171428.57 1(1.0175)
1171428.57 1(1.07185903n CPV ii

  
  

 
 
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171428.57[1 0.9329585]
171428.57[0.0670415]
.11492.82847Rs


Hence, Cash price of the system=initial payment + P.V.
=Rs.6000+Rs.11492.82847
=Rs.17492.83
[6] Find the accumulated value of an annuity due of Rs.1000 per annum for 3
years at 10% p.a.
Solution:
Annuity due -Payment at the end of the year
Here C=Rs.1000, i=0.10, n=3 years

3
3(1 ). . (1 ) 1
1000(1 0.10)(1 0.10) 10.10
1000(1.10)(1.10) 10.10
11001.331 10.10
11,000[0.331]
.3641n CiF V ii
Rs  
   
 



The accumulated value of an annuity due is Rs.3641

[7] A person plans to put Rs.200 at the beginning of each year in a deposit
giving 2% p.a. compounded annually. What will be the accumulated amount
after 2 years?
Solution: Annuity due -Payment at the end of the year
Here ,C=Rs.200, i=0.02, n=2 years munotes.in

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2
2(1 ). . (1 ) 1
200(1 0.02)(1 0.02) 10.02
200(1.02)(1.02) 10.02n CiF V ii  
   
 



2041.0404 10.02
10200[0.0404]
.412.08Rs



[8] Find the present value of annuity due of Rs. 100 p.a. for a period of 4 years
if interest is charged at 8% p.a. effective rates.
Solution: Annuity due: yearly payment, C=100, n=4 years, i=0.08,P=?

(1 ). . 1 (1 )n CiPV ii   

4
4100(1 0.08)1 (1 0.08)0.08
100(1.08) 110.08 (1.08)
108 110.08 1.36049
1350(1 0.735029)
1350(0.2650)
357.75    
 




Therefore, P.V. of annuity due is Rs.357.75 munotes.in

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[9] A deferred annuity is purchased that will pay Rs. 10,000 for 15 yea rs
after being deferred for 5 years. If money is worth 6% compounded quarterly,
what is the present value of this annuity?
Solution:
Deferred Annuity: Quarterly payment
C=10,000, n=15(4) =60, m=5(4) = 20,i=0.06/4=0.015
20
60(1 ). . 1 (1 )
10,000(1 0.015)1 (1 0.015)0.015m
n CiPV ii


   
   



20
60
20 6010,000(1.015)1 (1.015)0.015
10,000 110.015(1.015) (1.015)
10,000 110.015(1.346855) 2.4432198
10,000 110.015(1.346855) 2.4432198
10,000 110.015(1.346855) 2.4432198
10
 
 




 ,000 110.0202028 2.4432198
494980.8937 1 0.409296
494980.893(0.590704)
.292387.19Rs



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Present value of this annuity is
.292387.19Rs

[10] A deferred annuity is purchased that will pay Rs. 500 for 10 years after
being deferred for 6 years. If money is worth 3% compounded annually, what
is the present value of this annuity?

Solution:

Deferred Annuity: C=500, m=6, n=4,i=0.03


 6
10
6
10
6 10(1 ). . 1 (1 )
500(1 0.03)1 (1 0.03)0.03
500(0.03)1 (1.03)0.03
500 110.03(1.03) (1.03)
500 110.03(1.19405) 1.343916
5001 0.7440940.03(1.1945)
5000(0.035821)m
n CiPV ii




   
   
 
 


  .255591
13958.2926(0.255591)
.3567.6084Rs




Present value of this annuity is
.3567.6084Rs
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[11] A deferred annuity is purchased that will pay Rs. 5000 for 4 yea rs after
being deferred for 2 years. If money is worth 4% compounded annually, what
is the present value of this annuity?

Solution:

Deferred Annuity: C=5000, m=2, n=4,i=0.04


(1 ). . 1 (1 )m
n CiPV ii
    

2
4 5000(1 0.04)1 (1 0.04)0.04
    


2
4
245000(1.04)1 (1.04)0.04
5000 110.04(1.04) (1.04)
5000 110.04(1.0816) 1.16986
50000.8548030.043264
115569.527(0.854803)
.98789.19Rs
 
 






Present value of this annuity is
.98789.19Rs

3B.4. UNIT END EXERCISE:
(1) Find the accumulated value after 4 years of an immediate annuity of Rs.
20,000 p.a. with interest Compounded at 6% p.a.
(2) Divya deposited Rs.2000 at the end of each year, for 2 years in a
compa ny and received Rs.4200 as the accumulated value. Find rate of
compound interest.
(3) Manini deposits Rs. 500 with 12%compound interest for 3 years. Find
the final amount if payment is at the end of each quarter. munotes.in

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(4) Sarita invested Rs.1000 at the end of every month for 4 years at 12 %
p.a. compound interest. Find the amount she will receive at the end of
the period.
(5) Ms. Rukmini plans to save for her daughter’s higher studies. She wants
to accumulate an amount of Rs. 1,00,000 at the end of 4 years. How
much should she invest at the end of eac h year from now, if she can get
interest compounded at 7% p.a.?
(6) Ms.Sima deposited Rs.20,000 at the end of every year for two years. The
rate of interest is 10% p.a., compounded half -yearly. What is the amount
accumulated at the end of 2 years?
(7) Find the accumulated value at the end of 4 years and the present value of
an immediate annuity of Rs.50,000 p.a. for 4 years at 4% p.a.
(8) Kartik purchased a TV set and paid Rs. 5,000 immediately, anther Rs.
5,000 after a year and Rs.5,000 after 2 years and thus became debt free.
Find the price of TV set if compound interest charged was 3.5%p.a.
(9) How much money should a person invest at 7% p.a. compound interest
so that he would get an annuity of Rs. 1, 00,000 at the end of each year
for the next four years after which his principal money will be over?
(10) A TV is purchased for Rs.5,000 cash down and Rs. 10,000 at end of each
month, for 4 months. Find the cash price of the TV if the payments
include interest payment at 12% p.a. compounded monthly.
(11) A man purchases a house and takes a mortgage on it for Rs. 10, 00,000
to be paid of in 4 years by equal annual payments payable at the end of
each year. If the interest rate is 6% p.a., find the sum of money that he
pays each year.
(12) Miss. MNO purchased a refrigerator with a down payment of Rs. 2500
and the remaining amount to be paid in 6 equal monthly instalments of
Rs.1000 each. Find the price of the fridge if the company wants to earn
12% p.a.
(13) A company decide to set aside a certain sum at the end of each year to
create a sinking fund, which should amount to Rs.5 lakhs in 4 years at
12% p.a. Find the amount to be kept aside each year.
(14) Find the present value of an immediate annuity of Rs. 30,000 p.a. for 3
years with interest compounded at 8% p.a.
(15) Raju took a loan of Rs.1,20,000 from a friend for a period of 9 months.
Compute the EMI at 10%p.a.using Reducing balance method.
(16) Mr. Bhatt wants to take a loan of Rs.4 lakhs, which he intends to return
after 4 years, with interest. Ban k A offers him the loan of 4 lakhs at 6%
p.a., flat interest rate and bank B offers him at 8% p.a., on monthly
reducing balance. Comparing the EMI’s decide about the choice of bank
he should make.
(17) A loan of Rs. 1,00,000 is to be repaid in 4 years in 4 equal instal ments ,
with the first instalment at the end of the first year. The rate of interest is
10% p.a. (a) Find the yearly instalment using interest on reducing munotes.in

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balance. (b)Find the interest and principal repayment for each mont h.
[Make the amortization table. ]



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4
LIMITS AND FUNCTIONS

UNIT STRUCTURE
4.1 Introduction
4.2 Types of Function
4.3 Concept of Limit of a Function
4.4 Solved Examples
4.5 Unit and Exercises

4.1 INTRODUCTION

In this chapter we learn the concepts of functions and their limit
Concept of a functions
Dependent and Independent Variables
Consider an equation y = 3x + 4
As we assign different value to x, we obtain the corresponding
values of y in such a relation, x is called as the independent variable and y
is called the dependent variable . For each value of x we get a unique value
of y and we say that y is a function of x and denote it as y = f(x)

Let f be a function from set A to Set B . This is denoted as
: A Bf
.The set A is called the domain of the function and set B i s
called the co-domain of the function . Further set
  ( )| R f x x A is
called the range of the function.

Example s:

1. Write the domain and range of the function y = f(x) = x2 + 5.
Where
  0 5, x Ix

y = f(x) = x2 + 5, Where
  0 5, x Ix

Domain = {0, 1, 2, 3, 4, 5,}

Here, f(0)=5, f(1)=6,f(2)=9,f(3)=14,f(4)=21 and f(5)=30


 Range = {5, 6, 9, 14, 21, 30}

2. If f(x) = x2 + 3x -1. Find f (0), f (1), f (x+1)
f (0) = (0)2 + 3(0) - 1= -1 munotes.in

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f (1) = 1+3 -1 = 3
f(x+1) = (x+1)2 + 3(x+1) -1
= x2 + 2x + 1+3 x +3–1
= x 2+5 x +3
Examples for Practice :

(1) Find the domain and range for the following functions
(i)
6( ) 3 51xf x xx  
(ii)
( ) | | 2 2f x x x   

(2) For the function f (x) = 3 x2 +2x -1 find f (2), f (-3) f(0) and f (x + 4)


4.2 TYPES OF FUNCTIONS

I Constant Function :-
For every value of x
f(x) takes the same value . e.g. y = f (x) = 8

II Linear Function :-

Consider the function y = f(x) = ax + b where a and b are real
numbers and x is a variable . Such a function in called as a linear function
the graph of this function will be a straight line and the power of x is 1.

III Quadratic F unction :-

Consider the function y = f (x) = ax2 + bx + c where a, b, c are real
numbers
0a and x is a variable . The highest degree of x is 2 Hence
such a function is called a quadratic function the graph of this function is a
parabola .

IV Polynomial Function :-

A function of the type
y = f (x) = a0 + a1x + a 2 x2 + ......... + anxn is called a polynomial
function where a0, a1, a2,. .......an are real numbers and x is a variable.
The constant function, linear function and quadratic function are
special cases of polynomial function.

V Exponential function :-
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A function of the type f( x) = ax where a is a positive real number
0a
and x is a rational number, is called exponential function.

If a = e where e is the natural logarithmic base whose value is
approximat ely 2.71828183, then we get the exponential function as y = ex

VI Logarithmic Function :-

A function of the type f(x) =
logax where a is positive real number
1a
is called Logarithmic function


Function s in Economics: -

In business activity we use terms like price, demand, supply, revenue,
cost, profit price, demand and supply are related to each other and one can
be expressed as a function of the other. Similarly revenue and cost are
related to the number of units produced and sold. The various function in
Economics are as follows

I) Demand Function :-
Let p denote the price of a commodity whose demand is D. Then the
two variable p and D are related to each other and we can write the
relation as p = f (D) & D = g(p) . It is a convention to write the demand
function s p = f (D). If we plot Demand D on X axis and price P on the Y
axis, the dema nd cur ve appears as shown below:


DP
op=f(D)

The curve indicates that if price decreases the demand increases and
as price increases demand decreases .

II) Supply Functions :-
Let p denote the price of a commodity whose supply is S. Then the
two variables are related to each other and we can write the relation as
p = f (s) or s = g(p). It is a convention to write the supply function a s p =
f(s). If we plot supply S on X axis and price p on Y axis, then the supply
curve appears as shown below.

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SP p=f(S)

* Point of Equilibrium price (Demand = Supply) :-
If both the graphs are plotted on the same co -ordinate axes, the point
of intersection of the two curves is the point of equilibrium price.

III) Cost Function :- Let x denote the quantity of goods produced at price
p. The total cost of producing the goods consists of the fixed cost and
variable cost .
Thus Total cast = Fixed cost + Variable Cost
i.e. Total cost = Fixed Coast + x. P
Fixed cost will be the cost when no goods are produced i .e. when x =0

IV) Revenue Function :- Let x denote the quantity of goods sold at price
p then total revenue generated can be written as R= p. x.

V) Profit Function :- Let C denote the total cost of x units of goods
produced and sold and let R denote the total revenue generated.
Then Profit = R – C.


4.3 CONCEPT OF LIMIT OF A FUNCTION
Let x be a variable and a be a constant, then
xa means x tends to
a i.e. x approaches a, but
xa

xa means x approaches a from the right i.e.
xa , x > a

_ xa means x approaches a from the left i.e
xa , x < a

* Limit of a function :
Consider a function y = f(x) then as
xa if
()f x a then we say
that
 lim
xaf x b
 , where a and b are constant s.
* Left hand limit and right hand Limit :

12 lim ( ) lim ( )

x a x af x b f x b
Further if b 1 = b 2 = b we say that

lim ( )
xaf x b


Example: y = f(x) = x +1

X 1 1.5 1.9 1.99 2.0001 2.01 2.1 2.5
f(x) 2 2.5 2.9 2.99 3.001 3.01 3.1 3.5

In the above example we observe that as
  2 ( ) 3x f x
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* Rules for finding Limits :

If f(x) and g( x) are two functions then

(i)
  lim ( ) lim lim ( )
    
x a x a x af x g x f x g x

(ii)
  lim ( ) lim lim ( )
    
x a x a x af x g x f x g x


(iii)
 lim . ( ) limf(x).lim ( )
  
x a x a x af x g x g x
(iv)


lim ( )()lim( ) lim ( )xa
xa
xafxfx
g x g x Where g(x) = 0

* Methods for finding Limits :-
1. Substitution Method :- In this method, we substitute the limiting
value of x, in the given function to obtain the limit.
Example :



     

2
2
251lim2
2 5 2 12, 2 2 022
4 10 1
4
15
4xxx
x
x x x

2. Factorization Method :- In this method, we factories the numerator
and denominator, cancel the common factor and then substitute the
limiting value of x to obtain the limit of the function
Ex

3
327lim3xx
x

In this example if we substitute x = 3, we will obtain the value of the
function as
0
0 form which is called as indeterminate form the other
indeterminate forms are
00,1 ,0 , ,0 ,  
In the above example (x - 3) is a common factor , so we proceed as
follows .
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



  
     3
3
2
327lim3
3 3 9
lim 3, 3 3 03x
xx
x
x x x
x x xx
Now substituting the l imiting value of x we obtain the limit of the
function as
=

        22
3lim 3 9 3 3 3 9 9 9 9 27
xxx



3. Simplification Method :- In this method we simplify the function
using the common denomin ator cancel the common factor and then
substitute the limiting value of x to find the limit of the function

Ex.
32214lim22x x x x

2214lim2 ( 2)x x x x
2
224lim( 2)xx
xx



22
lim
xx
2( 2)
2x
xx

    [ 2, 2 2 0]x x x
22 2 414 2  


4. Rationali zation method :- In this method we rationalize the
numerator or denominator by multiplying and dividing by the
rationalizing factor, then simplifying and canceling the common
factor and substituting the limiting value of x to obtain the limit of the
function.

Ex. =

2
31 10lim3xx
x

   
  22
2 3( 1 10)( 1 10)lim
( 3)( 1 10)xxx
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103


   
  

  22
2 3
2
2 3( 1 10)( 1 10)lim
( 3)( 1 10)
( 1 10)lim
( 3)( 1 10)x
xxx
xx
x
xx

   
  

  22
2 3
2
2 3( 1 10)( 1 10)lim
( 3)( 1 10)
9lim
( 3)( 1 10)x
xxx
xx
x
xx

3(3lim
xx
)( 3)
(3x
x 2)( 1 10)x

   [ 3, 3, 3 0]x x x

   
3 3 6 3 3 10
10 10 10 2 10 10

* Limit to infinity :-

So far we have discusse d problems where the value of a limit of a
function was finite . However sometimes the variable x may take values
which go on increasing indefinitely and we say that
x and then find
the limit of the function
Ex.

2
3( 1)( 4)lim3 5 1xxx
xx


  32
344lim3 5 1xx x x
xx


Dividing the numerator and denominator by x3 we get

=
  
23
234 1 41
lim513xx x x
xx
  
11[ , 0, 0]xxx

=
1 0 0 0 1
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104

* Limit of exponential series :-

1.
1lim 1n
nen

Using Binomial theorem


231 1 2 1 1 1 11 1 . .......2! 3!nn n n n nnn n n n        

1 1 21 1 1
1 1 ........2! 3!n n n                  

      1 1 1lim 1 1 1 ............ e2! 3!n
n n
12, , ....... 0 As nnn 


Thus
1lim 1n
nen and
1
0lim 1n
nne

2.
                 lim 1 lim 1xnnxx
nnxxenn
3.
221 log log ..........2!x xa x a a    is called Exponential series.
32
2 log 1log log ........2! 3!xxa axaax    

2
01lim log 0 , ........ 0x
xaa As x x xx   


4.
23
1 ...............2! 3!x xxex    
211 ................2! 3!xe x x
x    

01lim 1
x
xe
x

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105


4.4 SOLVED EXAMPLES

(i)

2
251lim21xxx
x
4 10 1 13
4 1 5


(ii)

2
237 12lim56xxx
xx


33
lim
xx
4
3x
x2x

3, 3, 3 0x x x   

34132 

(iii)

2
224lim11 18xx
xx
22
lim
xx


2
92x
xx


2, 2, 2 0x x x   

 44
77


(iv)
2111lim1 3 2xx x x  
111lim( 1) 1 2x x x x
  


121lim12xx
xx



11
lim
xx
1x2x

1, 1, 1 0x x x   

1112 




(v)
22411lim3 4 13 36xx x x x    munotes.in

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106

411lim4 1 4 9x x x x x
   

491lim4 1 9xxx
x x x    

  428lim4 1 9xx
x x x



424
lim
xx
4x 19xx

4, 4, 4 0x x x   

 22
5 5 25




(vi)
  2
011lim
xxx
x
  
 22
0 21 1 1 1
lim
11xx x x x
x x x     

  

   
  2
0 211lim
11xxx
x x x


 
  2
0 2lim
11xxx
x x x=

 
  0 21lim
11xxx
x x x

 0 21lim 0, 0
11xxxx
xx     

1 0 1
2 1 0 0 1
  



(vii)
  
226 10lim4xxx
x
  
      

   2 26 10 6 10
lim
4 6 10xx x x x
x x x

   
   2 26 10lim
4 6 10xxx
x x x
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 
   2 224lim
4 6 10xx
x x x


222
lim
xx
22xx    6 10 2x


2, 2, 2 0x x x   

2 2 1 1
8 8 4 8 8 2 4 8 8   



(viii)
1
04 5 2limxxx
x x


    1
04 1 5 1 2 2limxxx
x x



04 1 5 1 2 2 1
limx x x
x x    




02 2 1 4 1 5 1limxxx
x x x x    


      
0 0 04 1 5 1 2 1lim lim 2limx x x
x x x x x x

log 4 log5 2log 2  

  

01lim logx
xaax

log 4 log5 log 4  

 
22log 2 log 2 log 4
log 5

(ix)
2
036lim2xx
x x
  
09 1 6 1lim2xx
x x

001 9 1 6 1lim lim2xx
xx xx


 1log9 log62

  

01lim logx
xaax munotes.in

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108

13log22
log log logmmnn


(x)

2
25 8 3lim3 7 21xxx
xx

Numerator and denominator both divided by x2


2
2835
lim7 213xxx
xx

  211As 0, 0xxx
5
3



(xi)
   
21 2 3 ........ nlim
n n


21lim2nnn
n

1
2nnn 


  1 1 1lim 122n n

 1As 0nn

(xii)
  
31.3 3.5 5.7 ...........lim
n n


  32 1 2 1lim
nnn
n



2
341
lim
nn
n

 2
3341lim lim
nnn
nn


 334 1 2 1lim lim6nnn n n n
nn

21 2 1
6
1n n nn
n 

  
munotes.in

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109

          24 1 1 1lim 1 1 2 lim6nn n n n
41 2 06   

  211As 0, 0nnn
84
63


4.5 UNIT AND EXERCISES

i)

2
2235lim6xxx
xx


ii)

3
244 48lim7 12xxx
xx

iii)

2
13 2 7lim1xxx
x
iv)
2414lim26xx x x  


v)
  
033lim
xxx
x

vi)

2
520lim
3 1 4xxx
x

vii)

41.4 2.5 3.6 ............lim
n n


viii)
  3 3 3
41 2 3 .........lim
n n

ix)
32
325lim41nn n n
n


x)


25lim12nnn
n n n
munotes.in

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110
xi)
  
206 3 2 1limx x x
x x

xii)

  1
04 5 6 3limx x x x
x x

xiii)
2
0lim 1 2x
xx

xiv)
5lim 1n
n n
xv)

41lim 1n
n n

xvi)


3
03lim1n
nn
n
xvii)

2log log2lim2xx
x
2. For what values of x will the expression
23
21x
xx
 tends to
infinity?

3. If f(x) = x2, show that


02 (2)lim 12
hf h f
h

* Continuity :

A function f(x) is said to be continuous at x = a if

      lim ( ) ( );lim ( ) lim ( ) ( )
x a x a x af x f a f x f x f a

Example

(i) Consider
( ) 1 0f x if x

00if x
Examine whether the function is continuous at x = 0

00lim ( ) lim1 1 0 (0)
xxf x f
   

Function is not continuous at x = 0

(ii) Consider f( x) = x +1 -1 < x < 0

1, 0 1 x  

, 1 2xx  
Examine whether f(x) is continuous at x = 0 and x = 1 munotes.in

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111

  
00lim ( ) lim 1 1
xxf x x

00lim ( ) lim1 1
xxfx


And f (0) = 1
Function is continuous at x = 0
Try the above example at x = 1

Conclusion :

At the en d of this chapter we have under stood the following concepts.

(1) Functions, their types
(2) Functions in Business and Economics
(3) Limit of a function
(4) Left hand and right hand Li mits
(5) Limit to infinity
(6) Continuity of a function

munotes.in

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112
5A
DERIVATIVE


UNIT STRUCTURE
5A.1 Objectives
5A.2 Introduction
5A.3 Summary
5A.4. Unit End Exercise

5A.1. OBJECTIVES

After going through this chapter you will able to know :
 Find rate of change of a function with respect to one variable
 Successive differentiation
 Physical and Geometrical meaning of Derivative

 Computation of Derivative with the rules of differentiation

5A.2. INTRODUCTION

Calculus is the mathematics of change in motion. It is used to
calculate change in displacement velocity with respect to time also used to
change in supply, with respect to price . It helps to calculate maximize
profit and minimize cost. We find slope of any cur ve using it.

We have already seen different type of function and there limit in
previous unit let us now try to find exact rat es of change at a point.
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113
Consider a function y = f(x) of a variable x. Suppose x change to
small value x o and set x 1 i.e. x1 = x + x o then the increment of x is given by
∆ x = x 1 – x o

As x change, y change from f(x o) to f(x o + ∆ x) i.e.


00fx
xxx fx y  

The function is called difference quotient.


* Derivative :

Let y = f(x) be the function of x. To measure rate at which f (x)
change with respect to x. i.e. rate of change of y with respect to “ x”, is
called Derivative and it is denoted by
f (x) or
dy
dx .
Let x change from x
 x + h then f(x)
 f (x + h), where the
value of h, becomes smaller and smaller, change in y is given by tending h

0



0'( ) lim
hf x h f x dyfxdx h exists is called the derivative of
function f(x) and denoted by f
'(x) or
dy
dx.
Note: If

0lim

hf x h f x
h exists, it is called first principle of
derivative.

Ex.1 . Find
dy
dx , if y = 3x2 + 2 by using first principle of derivative.
Soln: Give n y = f(x) = 3x2 + 2
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114

f (x+h) = 3(x+h)2 + 2
= 3x2 + 6xh + 3h2 + 2

By definition of first principle of derivative,


0'( ) lim
hf x h f xfxh
=
2 2 2
03 6 3 2 3 2lim
hx xh h x
h    
=
2
063lim
hxh h
h
=

063lim
hh x h
h
= 6x

If
232yx then
6dyxdx

Ex.2 . Find
'( )fx from first principles of the derivative.
If
f x x x
Soln :
1/2   f x x x x x =
3/2x

3/2( ) (x h)f x h   
Now

0( ) ( )' lim
hf x h f xfxh

3/2 3/2
0lim
hx h x dyfxdx h

Put
x h y
h y x  
0 h x h x y x      


3/2 3/2
lim
yxyxfxyx



3/2 1 3
2f x x
1limnn
n
xaxanaxa

1/23'2f x x
munotes.in

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115

3
2f x x
 3/2 3then '2dyIf f x x f x xdx   


* Physical meaning of Derivative :

We have study velocity acceleration and magnification in our
school section, these all are related with derivative.

A car moves from point P to point Q, if displacement is given by
f(x) in time x then
fx is the velocity of a car. i.e.

df kgfxdx hr km/hrs
Similarly, when change in velocity take place and it is f(x) in time
x. Acceleration is given by

dffxdx
* Geometric meaning of D erivative :

Y
O XB
Ay=f(x)
Tangent




Let y = f(x) be a curve and let A a nd B be two point on curve y = f(x), AB
be chord on the curve y = f(x), draw tangent at point A is define by
Slope of the Chord
 f a h f aABh munotes.in

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116
Taking
lim h 0 ,We get

0lim
hf a h f a
h

 Slope of tangent at point A =

0lim
hf a h f a
h
=
tandyfxdx
Derivative represent the slope of the curve y = f(x)
Note : i) If the tangent at point A is parallel to x-axis
then
0 tan 0 0dy
dx    
ii) If the tangent at point A is parallel to y – axis
then
90º tan infinitedy
dx    
Basic formula for Derivatives
i) If
nyx
1n dynxdx
ii) If y = k where k = constan t
0dy
dx
iii) If
xye
x dyedx
iv) If
xya
logx dyaadx
v) If
y log x
1 dy
dx x

*Algebra of Derivatives :
I) Sum Rule of Derivative :
If u and v are differentiable function of x and y = u + v then
dy du dv
dx dx dx

Similarly, if y = u – v then

dy du dv
dx dx dx
II) Derivatives of Scalar multiplication :
If y = k .u where k is constant and u is function of x, then munotes.in

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117

dy dukdx dx
III) Product Rule of Derivative :
If u and v are differentiable function of x and y = u
 v then

dy dv duuvdx dx dx  

IV) Derivative and Division of two function :
If u and v are differentiable function of x and y =
u
v
0v then

2du dvvudy dx dx
dx v
 when
0v

Ex.3. Find,
dy
dx if
5 23 2 log 63xy x e x   
Soln: Given function ,
5 23 2 log 63xy x e x   
Differentiatin g with respect to x
5 23 2 log 63x dy dx e xdx dx   


5 23 2 log 63   x d d d dx e xdx dx dx dx


4 213 5 2 03    xxex


4 215 23x dyxedx x  

Ex.4. Find,
dy
dx if
21 log y x x
Soln: Given function ,
21 log y x x
Diff. w.r.t. x


 221 (log ) log 1dy d dx x x xdx dx dx     munotes.in

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118
=
2 11 log 2x x xx   
dy
dx
=
212 logxxxx

Ex.5. Find,
dy
dx if
21
23xyx
Soln: Given function

21
23xyx
Let
21 ux and
23vx
Diff. w. r. t. x
2du dvvudy dx dx
dx v




dy
dx

22
22 3 1 1 2 3
23    

ddx x x xdx dx
x


2
22 3 (2 ) 1 (2)
23  

x x x
x


  
22
24 6 2 2
23x x x
x


2
22 6 2
23dy x x
dx x


Ex.6. Find,
dy
dx if
1
12xy
x

Soln: Given function

1
12xy
x

1 Let u x
and
12vx
Diff. w. r. t. x. munotes.in

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119

2du dvvudy dx dx
dx v



2(1 2 ) 1 1 1 2
12    

ddx x x xdy dx dx
dxx

=

211(1 2 ) 1 .2.
22
12xx
xx
x           


21111
2
12  

xx
x


=
23
2
12x
x


=
23
2 1 2xx


Ex.7. If f(x) = 2 x 3 – 21 x 2 + 72 x + 17
Find the values of x, such that
'0fx
Soln: Given function

322 21 72 17 f x x x x   
Diff. w.r. t. x

 
32
322 21 72 17
2 21 72 17df x x x xdx
d d d df x x x xdx dx dx dx   
    
=
22 3 21 2 72 1 0   xx munotes.in

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120

2( ) 6 42 72f x x x  

'fx
 6 3 4xx  
but given that
'0fx

 6 3 4 0xx  

30x OR
40x

3x OR
4x

 Check your progress :
Q.1. Differentiate the following function w.r.t. x

a)
3
22 6 33xy x x   
2: 4 6dyAns x xdx  
b)
423 y x x x  
3: 4 6 6 1   dyAns x x xdx
c)
3 2 43 4 1 y x x x   
6 5 3 3: 7 18 16 3 6dyAns x x x x xdx    
d)
221 y x x x  
32: 4 6 2 2dyAns x x xdx   
e)
2
22
7xxyx
3
222 14 14:
7dy x xAnsdx x
f)
1y x x
13:
2dy xAnsdx x 
g)
1xyx
21:(1 )dyAnsdx x 

Q.2. If
1xfxx , show that
' 1 0 f

Q.3. If
3/2y x x , show that
42
 xdy
dx
munotes.in

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121


* Chain Rule :
(Differentiation of a function of a function)
This is also called function of a function which is very useful. We can
say that y is function of u and u is function of x, so that y is of the type of
function of a function, it is denoted by,

 y f g x
This is also called as composite function of x. In composite function y
is not directly function of x, but it is a function of x c onnected through
sum other variable.
If y is function of u and u is function of x then derivative of y with
respect to x is equal to the product of the derivative of y with respect to u
and derivative of u with respect to x.
i.e.
dy dy du
dx du dx
this result is called chain rule of differentiation.
Ex.8 . Find
dy
dx, if
357yx
Soln.
357yx
Diff. w. r. t. x

dy
dx =
357dxdx
=
23 5 7 5 7dxxdx
=
23 5 7 5 1x


dy
dx =
215 5 7 x

Ex.9. Find
dy
dx, if
25 4 1 y x x  
Soln.
25 4 1 y x x   munotes.in

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122
Diff. w.r. t . x

dy
dx =
25 4 1dxxdx

=

2
215 4 1
2 5 4 1  
dxxdx xx
=
215 2 4 1
2 5 4 1x
xx
=
210 4
2 5 4 1x
xx

=

252
5 4 1x
xx

=
252
5 4 1x
xx

∴ 𝑑𝑦
𝑑𝑥= 5𝑥−2
√5𝑥2−4𝑥=1

Ex.10. If
1yx
x
Prove that
12dyxxdx x
Soln.
1yx
x
Diff. w.r. t . x

dy
dx =
1 dxdx x
=
3/211
2 2 x x

dy
dx =
11
22x x x

2x
dy
dx =
1x
x

Ex.11. If =
xx
xxeeyee
 find
dy
dx munotes.in

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123

Soln.
xx
xxeeyee

Diff. w.r. t . x
dy
dx
=

2   
    
x x x x x x x x
xxdde e e e e e e edx dx
ee

=

2x x x x x x x x
xxe e e e e e e e
ee   
    


=

22
2x x x x
xxe e e e
ee
  


dy
dx =
24xx
xxee
ee



dy
dx =
24
xxee


Ex.12. Find
dy
dx, if
23log3xyx
Solun.
23log3xyx

log log logmmnn 


 log 2 3 log 3y x x   
Diff. w. r. t. x

dy
dx
=
 log 2 3 log 3dxxdx  
=
 11. 2 3 . 32 3 3ddxxx dx x dx  

=

11312 3 3xx

dy
dx =
31
2 3 3xx
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Ex.13. If
2
32 3 5
log
1

xx
y
x find
dy
dx

Soln.
2
32 3 5
log
1

xx
y
x
2 3log 2 3 5 log 1    y x x x

2 11log 2 log(3 5) log( 1)23y x x x     

Diff. w.r. t . x.

dy
dx
=
2 11log 2 log 3 5 log 123d d dx x xdx dx dx    

dy
dx
=
  2
21 1 1 1 1. 2 3 5 12 2 3 5 3 1d d dx x xx dx x dx x dx         

22 3 1
2 2 3 5 3 1dy x
dx x x x     


 Check your progress :
Q.1.Find
dy
dx
a) If
3/42log3xxyex

3 1 1.14 2 3dyAnsdx x x     

b) If
22logy x x a  
221.dyAnsdx xa 

c) If
22
22logx x ay
x x a  
222.dyAnsdx xa 
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d) If
 logmx mxy e e

.mx mx
mx mxm e e dyAnsdx ee
 

 

e) If
5logyx
51. logdyAns edx x


f) If
log3xxy
log. 3 log3 1 log   xx dyAns xdx

g) If
422 5 3y x x  
32. 4 4 5 2 5 3dyAns x x xdx   

h) If y=
2
21x
xe
2
21
222.
1x
xdy xAns edx x
 

i) If
223xxy
22. 3 log3 2 2xx dyAns xdx    

j) If
y a a x  
1.
4dyAnsdxa x a a x
   

k) If
2251xy x e  
2
25
52
2. 10 1
1x
x dy xeAns x e xdx x
   
 

l) If
1
1x
xeye

3/2 1/2.
11x
xxdy eAnsdx ee
   

Q.2. If
  log 1 1y x x    munotes.in

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Show that
210
1dy
dx x



Q.3. If
1log1xyx
Prove that :
21
1dy
dx x



*Implicit Functions :
An equation in the form y = f(x) defines y as an explicit function of x
and an equation in form of x = g (y) defines x as an explicit function of y.
A function or relation in which the dependent variable is not
isolated on one side of the equation i.e. an equation is in the form
f(x, y) = 0, defines y as an implicit function of x.

Ex.1 4. If
x y a find
dy
dx
Soln.
x y a
Diff. w. r. t. x on both sides,


 ddx y adx dx


110
22dy
dx xy


11
22dy
dxyx 

y dy
dx x

dy y
dx x  munotes.in

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Ex.1 5. Find
dy
dx
If
222 2 2 0 ax hxy by gx fy c     
Solun.
Given :
222 2 2 0 ax hxy by gx fy c     
Diff. w.r.t . x

222 2 2 0dax hxy by gx fy cdx     


  2 2 2 2 2 0 0     d d dax h xy by y g f ydx dx dx


 2 2 1 2 2 2 0dy dy dyax h x y by g fdx dx dx     


0dy dy dyax hx hy by g fdx dx dx     


  dyhx by f ax hy gdx    



 
 ax hy g dy
dx hx by f  

* Higher order derivative OR successive differentiation:
Let y = f( x) be a function of x, defined over an interval, then 1st order
derivative is given by
'fx while differentiate with respect to x.
i.e.
 y f x


dyfxdx
Now
fx
again diff. w.r.t. x
We get
2
2''d y dfxdx dx
It is called second order derivative of f(x) munotes.in

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In this manner by successive differentiation of the function is given by
n
n
ndyfxdx

Ex.1 6. Find
2
2dy
dx
If
7 3 25 4 7 20y x x x   
Soln.
Given :
7 3 25 4 7 20y x x x   
Diff. w.r. t. x

 7 3 25 4 7 20dy dx x xdx dx   
=

7 3 25 4 7 20  d d d dx x xdx dx dx dx
=
625 7 4 3 7 2 0x x x  


6235 12 14  dyx x xdx
2
62
2(35 12 14 )    d y dx x xdx dx

=
6235 12 14 d d dx x xdx dx dx
=
535 6 12 2 14 1xx

2
5
2210 24 14  dyxxdx

Note :
1)
2
2dy
dx is the derivative of
dy
dx w. r. t. x
2)
2 2
2d y dy
dx dx

Ex.1 7. If
21p
y x x  
Prove that
2
22
210d y dyx x p ydx dx     munotes.in

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Soln.
21p
y x x  
Diff. w.r. t. x
1
2211
    pdy dp x x x xdx dx


=
1
2
2211
21   pxp x x
x
=
1
2
211
1   pxp x x
x
=
2 1
2
211
1 
pxxp x x
x

=
1
22
211
1p
p x x x x
x
   


2
21
1

p
p x xdy
dx x


2211pdyx p x xdx    

Again D iff. w.r. t. x

2 1
2 2 2
2221 1 1
11px dy d y xx p x xdx dx xx         


22 1
2 2 2
222111
11        px dy d y x xx p x xdx dx xx


222
2
2221
1
11  
p
p x xx dy d yxdx dx xx


22
2
2221
11x dy d y p yxdx dx xx   

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Multiplying by
21x and re -arranging

2
22
210d y dyx x p ydx dx    

Ex.1 8. If
3 1log y x thenx
Prove that
2
2230d y dyxdx x dx  
Soln.
3 1log yxx

3 1log log log y x x xx  

Diff. w.r. t. x

3( log )dy dxxdx dx 
233 log log  dy d dx x x xdx dx dx

=
321log 3x x xx
=
223 logx x x


 223 logx x x
=
2 3 33log log x x x y x xx    


2
33
3dyxydx x
dyx y xdx 
  
Again differentiating both sides with respect to x
2
2
233d y dy dyxxdx dx dx  

OR
2
2
22 3 0  d y dyxxdx dx
Now dividing throughout by x, we get the required equation, munotes.in

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2
2230d y dyxdx x dx   



Ex.1 9. If
y ax b x (a, b are constants)
Prove that
2
2
220d y dyx x ydx dx   

Soln. Given :
y ax b x

2
2Substituting valueof , ,
dy d yydx dx

dy
dx =
2ba
x
1/2
2bxa

...... (i)

Differentiating again

2
3/2
2 3/21
2 2 4     d y b bxdx x
...... (ii)

2
2
22d y dyx x ydx dx  

2
3/224 2       bbx x a ax b xx x


2
2Substituting valueof , ,
dy d yydx dx
=
2
3/222bx b xax ax b xx   
=
2bxax2bxax bx

=
2
2bxbx
=
b x b x
= 0, Hence proved.
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5A.3. SUMMARY
In this chapter we have learned.
 First principal of derivative
 Physical and geometrical meaning of derivative
 Rules of Differentiation
 Chain rules of differentiation
 Differentiation of Implicit function
 Successive differentiation

5A.4 . UNIT END EXERCISE:

(a) Find
dy
dx for the following :
1)
6 3 25 7 9 11   y x x x
52.30 21 18 Ans x x x
2)
11y x xx x  
21.1Ansx
3)
2/36 7log 6 21x
e y a x x   
5/3 7.6 log 4xAns a a xx 
4)
2axy
ax

2.aAns
x a x


5)
22logy x x a  
221.Ans
xa

6)
2log 1xy e x
2
22. e log 1
1x xAns x
x
  
7)
2251.xy x e
2
25
52
2.10 1
1x
x xeAns xe x
x
 
 
b)
5 4 26 4 2 5 9y x x x x     . Find
dy
dx at x = -1 [Ans : 55]
c) Find the slope of the curve
232 y x x   Hint: (find
dy
dx at x = 1)] munotes.in

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d) Find the rat e at which the function f(x) =
5 3 23 7 9  x x x changes
with respect to x.[Ans.
425 9 14x x x ]
e) If
1logyx
x , prove that
1
21dy x
dx x x

 Hint: y = log 1 1/ 2log  xx
f) If
2xyx prove that
 1dyx y ydx
g) If
xxy e e prove that
24dyydx
h) If
22y a x prove that
0dyyxdx
i) Find
dy
dx , when,
1)
5 5 2 250 x y ax y  
24
422.
2axy xAns
y ax y

2)
2y xy x

44
.
2y x x
Ans
x y x 
 
3)
22logxy x y

2
221
.
12yx
Ans
xy 


4)
logxy xey
j) If
1 1 0x y y x    prove that
21 1 0dyxdx  
k) If
21 xy prove that
220dyydx
l) If
21m
y x x   show that
21x
2
2
20d y dyx m ydx dx  

 munotes.in

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134

5B
APPLICATION S OF
DERIVATIVE


UNIT STRUCTURE
5B.1 Objectives
5B.2 Introduction
5B.3 Increasing and Decreasing Function
5B.4 Maxima and Mini ma
5B.5 Summary
5B.6 Unit End Exercise

5B.1. OBJECTIVES

After going through this chapter you will able to know :
 The relation between average revenue and marginal revenue
 Relationship between average cost and marginal cost
 Relation between marginal product and marginal cost.

 Relation between production, cost and revenue functions.

 Relation between marginal propensity to consume and marginal
propensity to save.

 Calculate concavity, con vexity and point of Infle ction of function. munotes.in

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135


 Calculate maximum and minimum value of function at a particular point.
5B.2 INTRODUCTION

In the study of all economic problems it is essentially a problem of
finding out the rate of change. It may be the rate of change in the
dependent variable (demand) with respect to the change in the explanatory
variable (price) or it may be the rate of change in the endogenou s variable
(national income) with respect to change in the exogenous variable
(government expenditure) or a particular parameter (marginal propensity
to consume). The mathematical tool which is used to find out the
magnitude and direction of change in a pa rticular variable due to change in
the value of other variables of parameters is broadly known as the
technique of derivative or differentiation. The concept of derivative is
used to deal with a variety of economic problems.

*Demand Function :

It is relation between demand and price of commodity. Let P be
the price and D be demand of commodity. Then we can write :

D = f (P)

Also write a s P = f (D) munotes.in

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136

Price
Demand

Note: Demand function is always decreasing function.

*Supply Function :
It is relationship between supply and price of commodity. Let P be
the price and S be supply commodity. Then we can write

S = f (p)

Price
Supply

Also write as P = f (s)

Note : Supply function is always increasing function.

*Equilibrium Price :
When demand and supply of goods are equal that condition at
point is called Equilibrium point. For Demand D an d Supply S for
particular goods, c urves are intersect each other, then the point of
intersect ion is called Equilibrium point on price.
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137


Price
D = SEpD = S


*Cost Function :
The amount required to produce x units of goods, is called cost. It
C denotes the production cost at x units of goods, then it can be
written as
C(x) = Fixed cost + Variable Cost
i.e. C(x) = a + b x when x > 0

*Revenue Function :
The amount received from selling the product. It is denoted by R
let x units are sold at price P, then Revenue is R = p x = demand × price

R(x) = P x

*Profit Function :
Let R be revenue and C be cot function for x unit of goods.

Profit = Revenue – Cost

RC

 x R x C x

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138

*Average Cost :
The cost per unit is called Average Cost. Let C be cost function of
x units then,
Total Cost CAC Average Cost = = No. of Units x


*Marginal Cost :
The rate of change of cost (C) with respect to quantity : ‘ x’ is
called Marginal Cost it is denoted by MC.
 d dcMC C xdx dx


*Marginal Average Cost :
The rate of change at Average cost (AC) with respect to qua ntity x
is called Marginal Average Cost.


 d AC dMAC ACdx dx

*Marginal Revenue :
The rate of total Revenue with respect to the quantity x i.e.


d dRMR R xdx dx

In marginal analysis at firm operating under.
i) Perfect competition and
ii) Monopoly

I) Perfect Competition :
i) In this case the price is constant then
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139
Average Revenue =
R PxAR Pxx  
= Constant

ii) Marginal Revenue=
   dR dMR P x Pdx dx
= Constant
i.e. In Perfect Competition AR = MR = P = Constant

II) Monopoly –
In this case a monopoly is a sale suppliers of goods produced be
fixed the price ‘P’ of good accordingly to the demand in the market. Thus
price is not constant.

i)
PxAR Px, When P is function of x
ii)
d d dPMR R Px P xdx dx dx   
Thus
AR MR

* Marginal Revenue of Product (MRP) :
Let R be the revenue of x units with price P when P is function x
and
dR
dt is Rate of change of Revenue with respect to employee t’
is called Marginal Revenue.

Ex-1. For a certain product, cost function is given by
C = 3x4 – 5x2 + 50x + 20 . Find Average Cost, Marginal Cost and
Marginal Average Cost when x = 5.

Solun: Given Cost Function ,
423 5 70 20C x x x   
42Total Cost 3 5 70 20AC = x x x
xx  
=
2 203 5 70  xxx munotes.in

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3
x=520AC = 5 5 5 705  

 3 125 25 70 4   


375 25 74  

= 424

 423 5 70 20dc dMC x x xdx dx     

312 10 70 MC x x  

3
5 ( ) 12 5 10 5 70 1520x MC   

dMAC ACdx

=
3 203 5 70dxxdx x  

2
2
2
2209 5 0
2095xx
xx   
  


2
5 220( ) 9 5 5 219.2
5x MAC   
Ex-2. If the demand function is given by

23 5 25P x x   When x is the demand

Find : i) Revenue function
ii) Average revenue function
iii) Marginal Revenue when x = 10
Solun:
Curve deman d function
23 5 25P x x  
Revenue function
R pD
=
 23 5 25x x x
=
323 5 25x x x
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Average Revenue function
AR =
R PDPDD
=
23 5 25xx
Marginal R evenue =
dR dRdx dx
=
 323 5 25dx x xdx
=
29 10 25xx

2
10 ( ) 9 10 10 10 15xMR  
=
900 100 25 825  

Ex-3. The manufacture r x units of articles at a cost (12 x + 95) per units
and the demand function if P = 47 x – 45, when P is price and x is demand.
Find x for which the total p rofit is increasing.

Solun :
Let no. of units = x
Cost per units = 12 x + 95

Total Cost = C = (12 x +95) x = 12x2 + 95x

Demand function P = 47x – 45


Revenue Function = R = PD
= (47 x – 45) × x
= 47x 2 - 45x

Profit Function f(x) =
RC
=
22(47 45 ) 12 95x x x x  
=
235 140xx

235 140xx   munotes.in

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Diff. w. r. t. x

' 70 –140df x xdx
For increasing Function
'0 fx
. . 0diedx



70 140 0x


70 140x


2x
The total profit is increasing for
325 45 120 30   R x x x
5B.3. INCREASING AND DECR EAS ING FUNCTION
*Increasing Function :
If Y = f(x) is a function of x in the interval (a, b) and if Y increases
as x increases in (a, b) then Y is called the increasing function o f x
in the interval (a, b).
Let f(x) be increasing function in the interval (a, b) if
12,,x x a b
such that
1 2 1 2  x x f x f x
*Decreasing function :
If Y = f(x) is a function of x in the interval (a, b) and if Y,
decreases as x is increases and vice versa in (a, b) then Y is called the
decreasing function of x in the interval (a, b)
Let f (x) be decreasing function in the interval (a, b) if
12,,x x a b
such that
1 2 1 2x x f x f x  
5B.4. MAXIMA AND MINIA

*Maximum Points :
A function f( x) is said to have a maximum value in an interval I
around x = a, if a
 I, and if f (a)
 f(x), x
I then f (a) is called the munotes.in

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143
maximum value of f(x)
 I and a is called the p oint of maximum at
f(x) in I.

*Minimum Point :
A function f(x) is said to have a minimum value in interval I
around x = a, if a
 I and if f (a) < f (x), x
 I, then f (x) is called the
minimum value of f (x) in I and a is called the point of minimum of
f (x) in I.
Note :
If Y = f (x) where the slope of f (x) is neither positive nor negative
but it is zero i.e. at this point target is parallel to x -axis.
i.e.
0dy
dx or
'( ) 0fx at x = 0

* Second Derivative Test for Maxima and Minima :
If Y = f (x) is continuous differential function at neighbourhood
of a point ‘a’
i) f(x), is Maximum at x = a
If
 ' 0and '' 0 f a f a
ii) f(x) is minimum at x = a,
'0 fa and
'' 0 fa

Following steps are to be followed
Step – I First find under derivative or f(x) i.e.
fx
Step – II taking f
'(x) = 0 find x = a, b, c root
Step – II find second order derivative i. e. f
'
'(x)
Step - IV
(a) f(x) is maximum at x = a if
f
'
' (x = a) < 0
(b) f (x) is minimum at x = b if f
'
' (x = b) > 0

Ex. 4. Find values of x for which function munotes.in

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144
f(x) =2x3 – 3x2 – 72 x + 100 is
(i) Increasing (ii) Decreasing.
Solun:
Given: f (x) =2 x 3 – 3 x 2 – 72 x + 100
Diff. w. r. t. x

'fx 6 x 2 – 6 x – 72

i) f(x) is increasing if
'f (x) > 0
i.e. 6
x2 – 6
x – 72 > 0
6(
x2 –
x – 12) > 0

6(
x – 4) (
x + 3) > 0
i.e.
x > 4 an
x > –3

f(
x) is increasing when
x > 4 or
x > -3

ii) f(x) is decreasing if
'f (
x) < 0
6
x2 – 6
x – 72 < 0
6(
x2 –
x – 12) < 0
 6 4 3 0xx  

x < 4 as x < –3

f(
x) is decreasing when
x < 4 or
x < –3



Ex.5 . Find the local maxima and local Minima for the function

326 9 7 f x x x x   
Solun:
Let given
326 9 7 f x x x x    …. I
Diff. w.r.t. x

2' 3 12 9f x x x  

"( ) 6 12f x x munotes.in

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Taking
'0fx we get

23 12 9 0xx  

23 4 3 0xx  

 3 1 0xx  

3x or
1x

1 [ " ] 6 1 12 6 0x fx   

fx is maximum at
1x

321 1 6 1 9 1 7 11f     

fx is maximum at x = 1 & Maximum value = f(1)

321 1 6 1 9 1 7 11f     

fx is maxima at
1x & Maximum value is 11

3 [ " ] 6 3 12 18 12 6 0     x fx

 f (x) is minimum at x = 3 and minimum value = f(3)

 f (3) = (3)3 – 6(3)2 + 9(3) + 7 = 7

 f (x) is minimum at x = 3 and minimum value is 7

Ex.6. For the certain product total cost
329 24 17   c x x x Total Revenue
325 45 120 30   R x x x
. Find x for which the profit is maximum and
minimum.
Solun:
Here
329 24 17 C x x x   

325 45 120 30R x x x   
Profit function:

x R C
=
 325 45 120 30x x x   –
 329 24 17x x x  
=
325 45 120 30  x x x –
329 24 17  x x x
=
324 36 96 13x x x   …. I
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146

2' 12 72 96x x x   …. II

" 24 72xx
Taking
'0x we get

2212 72 96 0 12 6 8 0        x x x x

 4 2 0xx   

4x OR
2x
For x = 2

 " 2 24 2 72 48 72 24 0x      

x is maximum at
2x and maximum value =
 (x = 2)

322 2 36 2 96 2 13 93x     

x is maximum at
2x and maximum profit is 93


 " 4 24 4 72 24 0x    

x is minimum at x = 4 and minimum value =
4x

324 4 4 36 4 96 4 13 77x     

x is minimum at x = 4 & minimum value is 77

Ex.7. A manufacturer determines that t he employees will produce a total
of x units of a product per day, where x = 5t, if the demand equation for
the product is P = -2 x + 100 to find the M arginal Revenue Product when
t = 3. Interpret your result ….

Solun:
Here ,
2 100 Px  &
5xt

 2 100 R Px x x   

22 100 R x x 

22 5 100 5 R t t  munotes.in

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147

250 500 R t t 

250 500 R t t 
Diff. w. r. t. t

100 500 dRtdt



3100 3 500 200
tdR
dt  
If 4th employee is hired the extra revenue generated is approximate 200.

Ex.8. Given a consumption function.
C
6000200010xx
1) Find out marginal propensity to consum e (MPC) and marginal
propensity to save when x = 90
2) Also show that MPC & MPS move in the opposite direction when
income (x) changes
Solun:
I. Given
6000200010Cx

2000
10dCMPCdx x



2 906000 30.65 10 90  
xMPC
S is saving function defined as




S x C  
=
6000200010xx

6000200010    ddMPS S xdx dx x munotes.in

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148
=

260001 0 1
10 x  


90xMPS = 1 – 0.6
= 0.4

II.

2
33 26000 1200020
10 10d d CMPCdx dx xx    



2
3 26000 120002010 10     d d SMPSdx dx x x


Since
22
220 0.d C d Sand MPC and MPSdx dx move in the opposite
direction as x change s.

Ex.9. Given the total Cost Function
3
21000 100 103xC x x   

Find :
i) Marginal Cost Function
ii) The slope of marginal cost function
iii) Output at which marginal cost is equal to average variable cost.
Solun :
i) Given the total cost function

3
21000 100 103xC x x   

3
21000 100 103     d d xMC C x xdx dx
=
2100 20 xx

ii) Slope of MC =
' , 1f b f af x xba munotes.in

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149

 Slope of MC =
20 2 x
iii)
3
2    xC 1000 100 x 10 x3   
Where
3
2V 100 103xx x x   and F.C. = 1000

23100 10 / 3 Vx x x xAVCxx  
=
2
100 103xx
As per given condition we want to find our output at which
MC = AVC


2
2100 20 100 103xx x x    


2210 03xx


210 03xx
20 10 03x OR x   



0x OR
30152x


0x OR
15x
Concavity and convex pointed production function.
The concavity and conve xity are used widely in economic theory
and are also central to optimization, thereby A function of a single
variable is concave if every line segment joining, two points on its graph
does not lie above the graph at any point. Similarly, a function of a single
variable is conve x if every line segment joining two point on it graph does
not live below the graph at any point.
The concavity and conve xity are important in optimization theory
because as we see, a simple condition is sufficient and necessary for
maximize of a differen tiable concave function and for a minimize of a
differe ntiable function i.e. every point at which the derivative at a concave munotes.in

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150
differentiable function is zero is a maximize of the function and every
point at which the derivative of con vex differentiable function i s zero is
minimized the function.


f(b)
af(a)
O bSlope = f (a)1
M=f(z)

From the graph we say that:
The differentiable function of a si ngle variable defined as an open
interval I is con vex on I if and onl y if


''f b f afxba for
xI
The differentiable function of a single variable defined as an open interval I
is convex if and only if
𝑓(𝑏)−𝑓(𝑎)
𝑏−𝑎 ≥𝑓′(𝑥),𝑥∈1

*Inflexion Point :
The point C is an inflexion point of successive differentiable
function f of a simple variable if f
'
' (c) = 0, for some value of a and b with
a < c < b

Test of concavity and convexity of a curve by second order
derivative.
i) If
"0 fx then it is con vex
ii) If
"0 fx then it is con vex munotes.in

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151
iii) If
"0 fx then it is point of inflexion.

Ex.10. Suppose that the total consumption expenditure (C) in (thousand
Rs.) of a family is given by the function
2330 60 2  C x x x when x
denotes the family monthly disposable income in (thousand Rs) Does the
curvature of the consumption function change and at what level of income
it change?

Solun : Given consumption function
Let
2330 60 2 Y C x x x   
diff w.r.t. x
𝑑𝑌
𝑑𝑥=30+120 𝑥−6𝑥2
again diff w.r.t . x
𝑑2𝑌
𝑑𝑥2=120 −12𝑥
Taken at S econd order derivative zero i.e.
2
20dy
dx


120 12 0 x


10x

Now for all 0 < x < 10 the second order derivative is positive i.e. The
consumption function is strictly conve x until x = 10

For all x > 10 the second order derivative is negative i.e. the consumption
function is strictly concave after x = 10.

Which implies that at x = 10 the inflexion point occurs or the curvature of
the consumption function changes at x = 10.


*Elasticity of demand: munotes.in

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We are well known with demand law in economics that “If the price
increases the quality demanded will decrease”. Thus the ratio of the
proportionate change in the quantity demand to the proportionate change
in the price is called elasticity of demand.

Let the demand change from D to D+ BD, where price changes from P to
P + BP, there elasticity of demand is given by



Taking limit
0 BP we get

Elasticity of demand =
0lim

BPP BD
D BP

=
P dD
D dP
But according to deman d law if price increases then demand falls i.e.
Elasticity of demand =
p dD
D dp
Elasticity of deman d is denoted by



p dD
D dp

Note:
i) If
| | 0d then it is perfectly inelastic
ii) If
0 | | 1d then it is inelastic
iii) If
0 | | 1d then it is unit elastic
iv) If 𝑛𝑑>1 then it is elastic
v) If
| | 1d then it is perfectly elastic

/
/BD D P BD
BP P D BPmunotes.in

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153
Ex.11. Find elastic of demand, if Demand function
D = 25 – 11p + p2 when p = 4 and comment on it.

Solun : Given demand function

245 11D P p  
Diff w.r. to p

0 11 2 2 11dDPPdp    

22 1145 11P dD PPD dp p p    

=
2
22 11
45 11PP
PP

When p = 4 then elastic at demand is



2
22 4 11 4 124 0.705817 45 11 4 4P   

Here
1O Hence it is inelastic demand.
 Relation between marginal revenue, average revenue and
elasticity of demand is,
Let
 = elasticity of de mand
MR = Marginal Revenue
AR = Average Revenue then,
By definition of elasticity of deman d,

P dD
D dp
&
TRAR TR AR DD   
   ddMR TR D ARdD dD

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154
=

()ddD AR AR DdD dD
=
.dAR D A RdD
[∵
TRTR D P DP P ARD     

AR P]
𝑀𝑅 =𝐴𝑅+𝐷𝑑
𝑑𝐷(𝐴𝑅)
= 𝑃+𝐷𝑑𝑃
𝑑𝐷
= 𝑃+𝐷
𝑃×𝑃×𝑑𝑃
𝑑𝐷
= 𝑃[1+𝐷
𝑃×𝑑𝑃
𝑑𝐷]
[∵𝑛=−𝑃
𝐷×𝑑𝐷
𝑑𝑃]
=𝑃(1−1
𝑛)
11   MR AR



 Impact of Excise Tax:
An excise tax is a tax changed on each unit of a good or service that
is sold. This is not the same as sales tax in that it is received per unit of the
good rather than as a percentage of the sales. The excise tax can be
received on either the buyer or the seller of the commodity.
Increase the tax rate can either increase or decrease total tax Revenue
depending upon,
i) The elasticity of demand
ii) The elasticity of supply
iii) The size of tax base

A subsidy shift either the demand or supply cause to the right
depending upon whether the buyer or seller receives the subsidy. If it munotes.in

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155
is the buyer receiving the subsidy the demand cur ve shift right,
lending to an increase in the quantity of demand increasing while
equilibrium price decrease.

 Impact of Subsidy:
Marginal listening on production will shift the supply curve to
the right until the vertical distance between the two supply cure is
equal to the per unit subsidy when other things remain equal this will
decrease price paid by the consumer and increase the price received
by the producers. Similarly, a marginal subsidy on consumption will
shift the demand curve to the right when other things remain equal.
This will increase the price received by producers by the same
amounts, as if subsidy had been granted to producer. However in this
case new m arket price will be the price received by producers.

 Sales Tax effect on supply and demand:
Most states impose sales tax on some goods and services as a
means of generating revenue. However, sales taxes also influence
consumer behaviour.
As sales tax causes the supply curve to shift inward it has a
secondary effect on the equilibrium price for a product equilibrium
price is the price at which the producers supply matches. Consumer
demand at a stable price since sales tax increases the price of goods,
it causes the equilibrium price to fall. This may mean that it becomes
more difficult consumers change their buying behaviour to purchase
less of the more expensive goods.
While sales tax affects supply directly it only has an indicate
effect on consumer d emand. Sales tax also impact consumers buying
power.

 Inventory Control: munotes.in

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156
It is the quantity Q, which when purchased in each under
minimizes the total cost T, incurred in obtaining and storing material
of a certain time period to fulfil given date of dema nd for the
material during the time period. The cost of the stock is called
Inventory cost and the management of inventory is called inventory
control.

Ex.1 2. The material demanded 1000 units per year the cost price of
material ` 2 per unit; and it cost ` 50 to make the factory ready for
production run of the items regardless of the number of units x
producers in a run; and the cost of staring material is 25% yearly on
the rupee value of the average inventory x on hand.

i) Find the economic under quantity an d total cost corresponding
to that
ii) Find the total cost when each under places for 10000 units.

Solun:
No of production per year =
1000
x
Cost for production =
1000 2500025xx
Variable cost = 2 per units : 20,000
Inventory cost on 100 units = 25

Inventory cost of x units

125100 4xx  
Total cost =
2500010004xCx  
Diff w.r. t . x
225000 104  dC
dx x
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Taking 𝑑𝐶
𝑑𝑥=0 we get
225000 104  x


X = 6250

𝑑2𝐶
𝑑𝑥2=50,000
𝑥3


2
23
625050,000
(6250)  xdc
dx >0
Which is positive
C is minimum when x = 6250
Minimum cost
25000 625010006250 4C  
= Rs. 62566.5
When x = 10000 units then,

25000 10000100010000 4C   = Rs. 3502.5

5B.5 . SUMMARY

 In this chapter we have learned
 Marginal Cost, Marginal Revenue
 Marginal Average Cost, Marginal Average Revenue
 Marginal Analysis of a film operating
 Marginal Revenue of products
 Maxima, Minima, increasing and decreasing function
 Marginal propensity to consume, marginal propensity to save,
concavity and convexity and point of inflection for profit function
 Optimal trade in time, effect of taxation and subsidies, effect of
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 Inventory control




5B.6. UNIT END EXERC ISE

1) Show that the scope of average cost curve is equal to
1MC ACx
for the total cost function
32C ax bx cx d    .
2) The total revenue received from the sale of x units if a products is
given by. Find (a) the Average Revenue (b) Marginal Revenue at x
= 5 (c) the actual Revenue from selling 51st Unit.
Ans. : (a)
22 12 6 / R x x x x   (b) 212 (c) 214
3) The manufacturing cost of an item consists of ` 6000 as over heads,
material cost ` 5 per unit and labour cost `
2/ 60x units produced.
Find how many units must be produced so that the average cost is
minimum.
Ans: x = 600

4) A company charges `700 for a mobile hand set on an order of 60 or
less sets. The charges Reduced by `10per set for each set ordered
in excess of 60. Find the largest size order company should allow
so as to received a maximum revenue.
Ans: x = 65 Sets.

5) Give the price equation P = 100 – 2Q wher e Q is quantity
demanded, find (a) the marginal Revenue (b) point elasticity of
demand when a = 10 (c) nature of the commodity.
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6) A monopolist’s demand function is P = 300 – 5x. Find (a) the
marginal Revenue function (b) the relation between the slope of
MR and AR and (c) at what price is the marginal Revenue zero.

7) A manufacturer determine t employees will produce a total x units
of a product per day, where x – (200 t – t2). If the demand equation
for the produce is P = -0.1 x + x + 70, determine the marginal
revenue product where t = 40.

8) If c = 7 + 0.6I – 0.25 is a consumption function, find marginal
propensity to consume and marginal propensity to save. When I =
16.

9) Given the production function Q = SL1/2 and the price equation P
= 200 – 2Q, obtain the marginal revenue product of labour (L)
when L = 25

10) Prove that marginal cost is 1/x (MC – AC) for the total cost
function c(x) =
223 2 4 7xxx  

11) The total function is given by
2325000 1000 5003C x x x x   

12) A company has examined its cost structure and revenue structure
and have determined that C the total cost, R total revenue and x the
number of units produced are related as,

2100 0.015Cx &
3Rx
Find the production rate x that will maximise profits of the
company. Find that profit also find profit when x = 120.

13) The cost of producing x units is given by

320.001 0.3 30 42 C x x x x    munotes.in

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Determine where this cost function if concave up and where it is concave
down also find the inflexion point.

14) If the price per unit (p) is given by p = 5(2 – x) and the total cost
by c(x) = 10 + 3x2 – 2x3, where x is the number of units produced .
Determine the optimum level of price and output f or profit
maximization.

15) If the total cost funct ion is
323 4 2C q q q   . Find at what level
of output average cost will be mi nimum and what level will it be?

16) The total profit y(in rupees) of a company from the manufacture
and sale of x bottles is given by if
2
2 80400xx  

17) The cost of function c(x) of a firm is given by
231300 102C x x x x  


(1) Outpur at which marginal cost (MC) is minimum
(2) Output at which average cost (AC) is minimum
(3) Output at which AC=MC

18) For a firm under perfect comp etition, it is given that
2
25 28 273xC x x   
, where p is price per unit, x is the units of
output, c is the total cost of x units

(1) Find the quantity produced at which profit will be maximum
amount of maximum profit.
(2) What happens to equilibrium output and maximum profit if
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19) A manufacturer determines that his total cost function is
2
2 3003xCx  
, where x is the no. of units produced. At which
level of output will a verage cost per unit be minimum?

20) A firm produces 36,000 items per year. It costs Rs.250 to make the
machine min, regardless of the number (x) of items produced in a
nw. The cost of storage is 50 paisa per year an average inventory
x/2 on hand. The cost of material per item is Rs.5. Find economic
lot size.

21) For a particular process, the average cost is gi ven by
280 12C x x  
, where C is the average cost (per unit) x the
number of units produced. Find the minimum value of the average
cost the no. of units to be produced.

22) If the demand la w is
25
1xP find the elasticity of demand with
respect to price at the point p = 3.

23) A demand function is given by
225 4x p p   , where x is the
demand of the goods at price p. Calculate the elasticity of demand
at price p = 5 and p = 8.

24) The demand y for a commodity when its price x is given by
2
1xyx

Find the elasticity of demand when the price is 3 units.


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5C
PARTIAL DERIVATIVE


UNIT STRUCTURE
5C.1 Objectives
5C.2 Introduction
5C.3 Definitions
5C.4 Summary
5C.5 Unit End Exercise

5C.1 . OBJETIVES

After going through this chapter you will be able to.
 Partial derivative with total differentiation, second order partial
derivative.
 Elasticity of demand with application of partial derivative

 Production function: -
Marginal productivity of labour and capital, average product of labour and
capital
Some economics application

5C.2. INTRODUCTION

In previous chapter we have learnt differential calculus and its
application with one variable of the form y = f(x) but in real life, there are
so many c ase of multivariable . For example production may be treated as
a function of labour & capital and price may be a function of demand and munotes.in

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supply. In such a case we use partial derivative two or more variables are
these but we will study here two and three variable function.

5C.3 DEFINITIONS

Partial derivative: -
Z = f( x, y) be a function of two independent variables x and y. The
derivative of f( x, y) with respect to x, keeping y constant is called partial
derivative of z with respect to x and is den oted by
.xzfor or fxx


Simi larly when the derivative of f(x, y) with respect to y, keeping x
constant is called partial derivative of z with respect to y and is den oted by
.yzfor or fyy



Thus in terms of limit we can write,

0,,lim
xf x x y f x y f
xx  
limit exists


0,,lim
yf x y y f x y f
yy  


Successive partial derivative:
Let
, z f x y be two variable function and
&zz
xy
 the first order
partial derivative & both are function of x & y respec tively further be
differentiate partially with respect to x & y, we get second order partial
derivative
i.e.
2
2............. Izzfxxx z x    

2
2............. IIzzfyyy y y     munotes.in

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2
............. IIIzzfyyx y x y     

2
............. IVzzfyyy x x y     

III & IV are called mixed partial differentiation.

NOTE: If f, fx & fy are continuous then fxy = fyx

Ex. 1) Find all second order partial derivative for

22, 30 4 7f x y x y xy x    
Soln: Given function
22, 30 4 7f x y x y xy x    

2230 4 7xff x y xy xxx      

0 2 0 4 7 xy    

2 4 7xf x y  

2230 4 7yff x y xy xyy      

0 0 2 4 0 yx    

24yf y x 

  2 4 7xxff x yx x x        

2 0 0 2   

2xxf 
 24yyff y xy y y       


2 0 2  

2yyf 

  2 4 7yxff x yy x y        


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4
4yxf 


 24xyff y xx y x       

=0-4

4
4xyf 


Ex 2) If
21
12z
xy y


Prove that
23.zzx y y zxy

Soln:
Given function
21
12z
xy y


12 2. 1 2i e z xy y  

322 2 11 2 1 22zxy y xy yxx       

32 2 11 2 22xy y y    

32 2. 1 2 (I)zx xy xy yx    


Now,

3
22 211 2 1 22zxy y xy yyy       

3
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3
2 211 2 2)(2xy y x y     

322 2. 1 2 (II)zy xy y xy yy    

Subtracting (II) from (I) we get,


332 2 2 22.
1 2 1 2zzxyxy
xy xy y xy y xy y
      


3 3 32 2 2 2 2 2 21 2 1 2 1 2xy xy y xy xy y y xy y          

322 212y xy y  

23yz

Hence,
23.zzx y y zxy proved.

*Homogenous function :

A function
,f x y of two variables is said to be homogeneous functio n in
which the power of each ter m is same. i.e . x & y of same degree.

If f (x, y) is homogeneous function of two variables x & y with degree n ,

If
 , , for 0nf x y f x y
211:,eg f x yx xy

Here
,f x y is a homogeneous function of degree – 2.
*Euler’s t heorem on homogeneous functions:
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Let
,f x y be a homogeneous function of degree n, with
1 2,, ..........,n x x x
variables then

 1 2 1 2
12. . ..... . , ,.......nn
nf f fx x x n f x x xx x x       
If z is homogeneous function of x, y, of degree n and
( ), z f u then


. ( )..()z z n f uxyx y f u

Ex. 1) If
2 2 21 1 log log,xyf x yx xy x y  
then prove that
. . 2 0ffx y fxy  
Soln:
2 2 21 1 log log,xyf x yx xy x y  


2 2 2 2log1 1 1 1.
1y
x
y x x x yx x  
,f x y
is a homogeneous function of degree – 2

 By Euler’s theorem.

..ffx y nfxy


. . 2ffx x fxy 


. . 2 0ffx f fxy  

Ex. 2) Verify Euler’s theorem for the function


1144
1155xyz
xy
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Soln: Here
1144
1155xyz
xy


The numer ator is a homogeneous function of degree
14 and denominator
is homogeneous function of degree
15
By Euler’s theorem,


1. . .20zzx y zxy

Now,
1144
1155z x y
xx xy  



1 1 1 1 1 1 1 15 5 5 5 4 4 4 4
21155.ddx y x y x y x ydx dx
xy    





1 1 3 4 115 5 5 4 4 4
2115511.45x y x x y x
xy  




1 1 1 1 1 15 5 5 4 4 4
2115511..45.x x y x x yzxxxy  



Similarly,

1 1 1 1 1 15 5 5 4 4 4
2115511..45.y x y y x yzyyxy  
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..zzxyxy



1 1 1 1 1 1 1 15 5 5 5 4 4 4 4
2115511.45x y x y x y x y
xy    



1144
115511
45xy
xy 


1.20z

Here, Euler’s theorem ,


1..20zzx y zxy is verified .

Ex. 3)
If
33
log .xyzxy Show that
. . 2zzxyxy
Soln:

33
logxyzxy
Here z is not homogeneous function but if


3
3
33
21
1zyxxxy yu e x fx xy yxx   

Here z is homogenous function of degree 2 .



1.. . 2. 2z
zn f z z z exyx y f z e    munotes.in

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Here
. . 2zzxyxy

 Check your progress:
(1) If
33
33xyzxy show that
. . 3zzx y zxy

(2) If
22xyf
xy , prove that
3..2zzx y zxy

(3) If
,yufx prove that
. . 0uuxyxy

(4) Verify Euler’s theorem for

(1)
2224 ax xy by
(2)
44xy
xy


(5) Verify Euler’s theorem for function


3344
3355xyz
xy

 Maximum and minimum values of two variable function
, z f x y

Let
, z f x y be two variables function for which continuously partial
derivative exists in interval (a, b) .

Consider
2
2A ( , )xxff a bx
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2
B ( , ).xyff a bxy


2
2( , )yyfC f a by
IInd derivative test conditi ons for maxima and minima.
(1) If
20 & 0 AC B A   then z is relative m inimum.
(2) If
2AC - B < 0 relative maximum.
(3) If
2AC - B < 0 it is neither minimum nor maximum. It is called saddle
point.
(4) If
2AC - B < 0 then it is maximum, minimum or saddle poin t.

Ex. 1) Find the points of maximum & minimums for the function

3 2 2 23 3 3 4 z x xy x y    

223 3 6zxyxx  

66zxy yy
Now,
0 & 0zz
xy
223 3 6 0xyx  
.... (I)
6 6 0xy y .....(II)
Solving (I) & (II) we get,

0 1 2x x x  

01yy 
 0,0 2,0 , 1,1 , 1, 1
are the stationary points.
A 6 6xxfx  


 0,0 6 2,0 6xx xxff 

 1,1 0 1, 1 0xx xxff  

6xy B f y


 0,0 0 2,0 0xy xyff munotes.in

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 1,1 6 1, 1 6xy xyff  
C 6 6yyfx  


 0,0 6 2,0 6yy yyff 

 1,1 0 1, 1 0yy yyff  
For (0, 0)
2 2AC-B 6) ( 6 0 36 0& A<0      


z is relatively maximum at (0,0)

0,0 4z
For (2, 0)
2 2AC-B 6 6 0 36 0& A 0     


z is relatively minimum at (2,0)

2,0 0z
For (1,1)
2 2AC B 0 0 6 0 36 36 0       

Which is saddle points .
For (1, -1)
2 2AC - B 0 0 6 0 36 36 0       

Which is saddle points.

 Examine maxima & minima for the following functions:

(1)
223 2 4 7 12z x y xy x y      z is minimum at (1,2) z = 3

(2)
222 2 2z x y x y     z is maximum at (1,1) z = 4

(3)
333 z x y xy   z is maximum at (1,1) & z = -1

(4)
336 63 12 z x y x y xy    
z is maximum (3,3) z = 540 munotes.in

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z is maximu m (-7,-7) z = 7 84

*Production function :

The C obb - Dougles production function of the economy as a whole is
given by
P AL K , 1   

Where P is total production, L is the quantity of labour , k is the quantity of
capital and
A, , are constants .

Marginal pro ductivity of labour & capital

Assume Q = f (L, K) is the production function where the amount
produced is given as a function of the labour and capital used.
Where Q (Total output) = f (L, K).

The partial derivative
&QQ
LK
 gives marginal product of labour &
capital respectively for the C obb-Dougles production function.
1MPK .Aab Q bQb L KKk   
and
1MPL Aab Q aQa L KLk   


Thus for the C obb-Dougles production function, the marginal product of
capital respect to labour is a constant times the average product capital
with respect to labor .

Q
KQ K
Q QK
K
 

Which is called the Capital elast icity of pr oduct, it is equal to the ratio of
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Ex 1) The fo llowing is a linear homogenous production function
222 x aL hLK bk  
where X, L, K represent output, labour and capital
respectively. Show that

..XXL K XLL
Soln: Given homogeneous & production function

 122 22 X aL hKL bK  

Marginal production labour


 122 22XaL hKL bKLL  


  1
2 2 2 2 212 . 22aL hKL bK aL hKL bKL    


  2 2 2 21 2 2
2 22aL hK aL hK
aL hKL bK aL hKL bK
   
Marginal product capital

 122 22XaL hKL bKKK  


  22
221122 2aL hKL bKK aL hKL bK   


2 2 2 222
2 2 2bK hL bK hL
aL hKL bK aL hKL bK
   

 
2 2 2 2.
22L aL hK K bK hL XXLKLL aL hKL bK aL hKL bK        

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22
222
2aL hKL bK
aL hKL bK



 122 22 aL hKL bK  

=
X


..XXL K XLK   . Hence proved

*Principle of marginal rate of technical substitution (MRTS)
The principle of marginal rate of technical substitution is based on the
production function wher e two functions can be substituted in variable
proportions in such a way as to produce a constant level of output .

Definition : “The marginal rate of technical substitution is the amount of
an output that a firm can give up by increasing the amount of the other
input by one unit and still remain on the came isoquant”.
The marginal rate of technical substitution between two functions
capital can be substituted for capital in the production of goal x without
changing the quantity of output . As we move along an isoquant
downwards to the right each point on it represents the substitution of
labour for capital.
The marginal rate of technical substitution of labour for capital is the
slope or gradient of the isoquan t at a point a ccordingly ,

Slope of MRTS k
KK
LL 


The marginal rate of technical substitution can also be expressed as the
ratio of the marginal physical product labour to the marginal physical
product of capital. munotes.in

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i.e. MRTS LK
MPL
MPK

Though the output remains constant the process of substitution being
change.

Isoquants: -Isoquant is the curve respectively all possible efficient
combination of inputs needed to produce a certain quantity of specific
output or output combination.

The main assumptions of iso-quant curves are as follows:
(1) Only two functions are used to product into small points.
(2) Factors of production can be divided into small parts.
(3) Technique of production is constant.
(4) The substitution between the two factors is technically possible.
(5) Under t he given technique, factors of production can be used with
maximum efficiency.

 Properties of Isoqua nt curve:
(1) Isoquant curve slope downwards from left to right because MRTS of
labour for capital diminishes.
(2) Isouants are coming to the origin because of the MRTS diminishes
along the isoquant.
(3) Two isoquant curves represent higher level of output.
(4) Isoquants need not be parallel to each other.
(5) No Isoquants can touch either a xis.
(6) Each Isoquant is oval -shaped.



 Utility function: munotes.in

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Let
( , , ) u f x y z be a function of three variables x, y & z then partial
derivatives of u, i.e
,&u u u
x y z  
   are the marginal functions of x, y, z
respectively.

Let
( , ) u f x y be the total utility function of a consumer, whe re x & y are
the quantities of two commodities (or goo ds) q 1, q2 which be consumes.
Then
u
x
 is the (partial) marginal utility of x and
u
y
 is the (partial)
marginal utility of y .

 Marginal Utility:
In the theory of economics behaviou rs utility functions relates to total
utility (u) obtained from the consumptions of a given quantity (u) . Thus
given the utility function u = u(Q), the additional derivative from an
additional infinitesimal cons umption of Q is given by the derivati ve

'( )uuQQ
Which is called marginal utility. Furthers, the change in marginal utility
due to infinitesimal change in Q is given by the second order derivative

2
2''( )uuuQQ Q Q     

If marginal utility (mu) declines as Q increases, t hus
''( ) 0uQ indicating
the operation of the law of diminishing marginal utility.

 Derivative of shape of indifference curve:
The concept of partial derivative and total derivative can be used to
find out the shape of an indifference curve in connection with consumer’s
behaviou rs as isoquant in connection with a production function. Both the
indifference curve and the isoquant a re always com plex to the origin in
order that utility on total output should remain constant.
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For setting convexity of a curve, the first derivative should be negative
and the second order derivative should be positive .
Consider a utility function when the consumer consume s two
commodities x & y such that

( , ) u u x y ..... (I)
The convexity of indifference curve given by


2
20 & 0yy
xx

By taking total differential of utility function we get,

0uudu dx dyxy  


x
yuu dy x
y dx u
y  
 .... (II)
When u x & u y is marginal utility of x & y respectively


( , ) & ( , )x x y yu u x y u u x y  

again differentiate eqn II with respect to x


2
2x
yu d y dy
dx x dx x u      


2
322
()x y xy y x
yx x yy u u u u u u u
u
The sign of above equation indicate whe ther the difference curve is
conv ex or concave. We can show that the value of the expression in the
numerator is positive u y > 0 and u y3 > 0.Hence
2
20dy
dx
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Ex Chick whether the indifference curve of convex or concave.

21
2u x y is convex or concave.

Soln: Given utility function :


21
2u x y


122xu x y x y


2
21 1 1
242yxux
yy


1
2xx xyxu y u
y

232 2
311.248yyxu x y
y 


22 2
232x y xy y xx x yy
yu u u u u u u dy
dx u

 22 2 22
3
3
21 1 124 8 4 2
1
4x x x xx y x y y
y y y y
x
y                    





4 4 4
64 8 16
64x x x
y y y
x
yy

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220y
x

Since both x & y are positive
Therefore, the indifference curve of the utility function is convex to the
origin .

*Marginal Rate Substitution :
If the utility function is given level of utility or satisfaction from various
combinations a1 & a2 respectively. Havens , the locus of all such
combination is an indifference curve.

A
OB
Commodity xCommodity y

The total differential of the utility function

U ( , ) isu x y

.uudu dx dyxy
But U along the indifference curve is zero.

du o

0du udx dyxy

x
yu dy
dx u  munotes.in

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The negative value of
dy
dx is called the marginal rate of Substitution of
commodity a1 for a2.
The Hessian matrix and determining optimization.
The Hessian matrix of
( , ) z f x y is defined to be


( , )xx xy
f
yx yyff
H x yff

at any point at which all the second partial derivative of f exists.

Determinant of
( , )xx xy
f
yx yyff
H x yff


( . ) ( . )xx yy xy yxf f f f

Test for optimization: -
1st find boundary point by using
( , ) 0f x y . To identity, if a point ( x, y,)
with zero gradie nt is local maximum and minimum, check the Hassian
determinant.

(a) If H ( x1, y1) is positive then (x1, y1) is a local minimum.
(b) If H (x1, y1) is negative definite then (x1, y1) is a local maximum.

Ex Find the local extreme of
33( , ) 3f x y x y xy  

2
20 33,0 33xyf x y
yx     

23 3 0xy ....(I)
23 3 0yx .....(II )
Solving (I) & (II) we get,

 , 0,0 1,1x y or


63,36xH x yy munotes.in

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030,0 930Det H 

1st minor = det (H1) = 36 & 2nd minor = det |H2| = -9


631,136H

1st minor = det (H1) = 36 & 2nd minor = det |H2| = 36 - 9 = 25 > 0


(1,1)H is positive definite which implies that (1,1) is local
maxim um f(x, y)

 Budget line: -
A graphical depiction of the various combinations of two selected
products that a consumer can afford at specified prices for the products
given their particular income level. When a typical business is analysing a
two product budget line, the amount of th e first product are plotted on the
horizontal x axis and the amounts of the second product are plotted on the
vertical y axis.
The problem is about how much goods a person can buy with limited
income. Assume: on saving, with income I, only spend money on goods x
& y with the price Px & Py.
Thus, budget constraint is
.xyP x P y I  
Suppose
2 1, 8xyP P I   then

28xy

The slope of budget line is

dy Px
dx Py

Bundles below the line are affordable . munotes.in

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 Constrained Optimization with lagrange ’s multipliers:
Suppose f(x,y) is a given two variable function and g(x, y) = 0 is
constraints on the variable x & y.
Using the Lagrange’s multipliers method to find the constrained maxima
or minima of f ( x,y) by using Lagrange’s function

 , y, , ,L x f x y g x y
The following steps are to be followed:
Step (1) Taking lagrange’s multiplier

 ( , , ) ( , ) ,L x y f x y g x y
Step (2) Find
,xyL L and L
Step (3) Taking
0 & 0 & 0xyL L L    we get stationary points and
value of

Step (4) Find
,L ,L & ,xx xy yy x yL g g
Step (5) Taking determinant

0 9 9
9
9xx xy
xy yyxy
D x L L
y L L
Step (6)
(i) D > 0, (a, b) then given function f has a maximum at the
stationary point.
(ii) If D < 0 then the given function f has minimum at that
stationary point.
Ex 1) The cost function of a product is made from two row material x
and y. The profit function is given by 115 x + 117 y – x2 – 2y2. If we want to
manufacture 98 units of both products , taken together per day, f ind the
number of units of each type to be manufactured by th e company to get
maximum profit.
Soln:
Given cost function
22, 115 117 2f x y x y x y    and
constraints is
, 98g x y x y   munotes.in

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 Lagrange’s function

 22, , 115 117 2 98L x y x y x y x y      
taking 1st order partial derivative
115 2xLx    

117 4yLy    
98 L x y  

taking
0, 0& 0xyL L L    we get,
115 2 0 117 4 0 98 0 x y x y         


115
2x
..... (I)
117
4y .....(II)
98 xy
..... (II I)
Substituting I & II in III we get

115 1179844

230 2 117 392   

227 3

45 3

15
Substituting
15 in I & II we get
x = 65 & y = 33
 65,33
is the stationary point.
2 0 4 1, 1xx yx yy x yL L L g g    


0 9 9 0 1 1
9 1 2 0
9 1 0 4xx xy
xy yyxy
D x L L
y L L   




2 0 1 0 1 20 1 10 4 1 4 1 0  


 0 1 4 1 0 2     munotes.in

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4 2 6 0   

The function f(x, y) is maximum at (65, 33) &
maximum value of f is
f
2265,33 115(65) 177(33) (65) 2(33)   
= 4933
Ex 2) Find the maximum and minimum distance of the point (3, 4, 12)
from the sphere
2 2 21 x y z   
Soln: Let the co -ordinates of the given point be ( x, y, z ) then its distance
D for (3, 4, 12)

2 2 23 4 12 D x y z     

2 2 2, , 3 4 12f x y z x y z     

2 2 21 x y z  

2 2 2g( ) x 1x y z   

 , , , , , , ,L x y z f x y z g x y z

 2 2 2 2 2 23 4 12 1x y z x y z           

 2 3 2xL x x     ..... (I)

 2 4 2yL y y     ..... (II)

 2 12 2zL z z     ..... (III )
taking
0, 0, 0x y zL L L  

3
1x ..... (IV)
4
1y ..... (V)

12
1z ..... (VI)


2223 4 121111                 

2229 16 1441
111  


21 169 munotes.in

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1 13 
Substituting
1 13 in IV,V &IVI 

3 4 12 3 4 12,,13, 13, 13 13 13 13      
and
3 4 12,13, 13 13  

The optimum distance
2 2 23 4 123 4 1213 13 13D                    

12

The maximum distance =
2 2 23 4 123 4 1213 13 13                   

14
5C.4. SUMMARY
In this chapter we have learned:
 Partial derivative of Ist & IInd order.
 Elasticity of demand with the partial derivative.
 Production function, MPL and MPK.
 Utility function, Marginal utility
 Marginal rate of technical substitution
 Isoquant properties of Isoquant
 Indiffe rence curve
 Optimization test y Hassian matrix
 Budget line
 To optimization by Lagrange’s multipliers

5C.5. UNIT END EXERCISE:
(1) Calculate
&zz
xy
 , function
2
1xzxy
Ans:

22
1x x y zz
x xy ;
2
21zx
y xy munotes.in

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(2) If
() u f x where
22r x y prove that

22
221"( ) '( )yyffxy      
(3) Verify Euler’s theorem for the function
(I)
221zx xy y (II)
44xyzxy
(4) If
22
logxyzxy prove that
1zzzyxy  
(5) The production function of a firm is given by
3 1444 , 0, 0.Q L K L K  
Find the marginal productivity of labor and
capital. Also show that
.QQL K QLK
(6) If
526log( ) 18z xy x y . Find the value
22
&..zz
x y y x
   
State the conclusion to be drawn from the result.
(7) If utility function is
   1 2 1 2 logu ax bx x x   . Find the marginal
utility.
(8) If
yufx . Show that
. . 0uuxyxy
(9) If
3 2 3( , ) 2 11 3f x y x x y   prove that
. . 3 ( , )ffx y f x yxy
(10) If
2logyyxx prove that
. . 24yyxyxy
(11) Given the production function
2 3 2 31.08 0.03 .68 0.08 .Q L L l K K   
Find the quantities of labor
and capital that maximize output Q. Ans
  24, 24LK  
(12) Given a total cost function
27 2 64c x xy   . Find combination of
input x & y must be produced to meet the requirement of 77 units
that maximizes the cost of fulfillin g the requirement.
(13) Find the all 2nd order partial derivative at given point. munotes.in

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(1)
22xyz x yyx   
(2)
3 2 2 323 z x x y xy y   
(14) If the production function is given as
0.4 0.7100Q L K . Find the
marginal productivity of labor & capital.
(15) Find the marginal productivity of labor and capital at (5, 1) of
production .

3369 Q L L K LK K    
(16) Examine for maxima & minima for
(1)
22, 6 4f x y x x y y   
(2)
33, 12 17f x y x x y y   
(17) Optimize the cost function subject
222 26 10x x y ky    to the
constraint x + y = 20.
(18) A monopolist charges different prices in the two markets where his
functions are:
1 1 2 2 1 221 0.1 , & 50 0.4 ; ,x P x P P P    being prices
and x1, x2 be quantities demanded. His total cost function is TC =
10x + 2000, where x is total output Find the prices that the
monopolist should charge to maximize his profit .
Ans : max profit = 67.5.
 munotes.in

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6A
INDEFINITE and DEFINITE
INTEGRATION

UNIT STRUCTURE:
6A.1 Objectives
6A.2 Introduction
6A.3 Unit End Exercise

6A.1. OBJECTIVES
After studying this chapter, you should be able to understand:
 To find the indefinite integral of a given function
 To state the standard indefinite integrals
 To evaluate definite integrals

6A.2. INTRODUCTION
After having learnt what is meant by differentiation, we come to the
reverse process of it, namely integration.
Consider the following examples:
(1) If f(x)=x , then
'( )fx =1,Question: What is the function whose
derivative is 1? Ans: x
(2) If f(x)=x3, then
'( )fx =3x2,Question: What is the function whose
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(3) If f(x)=x3/2,then
'( )fx =
3
2x1/2,Question: What is the function whose
derivative is
3
2 x1/2? Ans: x3/2
The answers which we find (the functions x, x3, x3/2) are called
primitives or anti -derivatives or integrals of the given function .
* Definition of integral of a function:
If f(x) and g(x) are two functions such that
( ) ( )dg x f xdx then we
define integral of f(x), w.r.t x to be the function g(x). This is put in
notation form as

( ) ( )f x dx g x ,
read as integral of f(x) w.r.t. x is g(x).The function f(x) is called the
integrand. Presence of dx indicates that the integration is to be taken
with respect to the variable ‘x’. The process of finding the primitive or
integra l of a function is called integration. Thus integration is the
inverse process of a differentiation.
323dxxdx
233x dx x
,

But
3 2 3 27 3 , 5 3 ,ddx x x xdx dx   
32 , 3, In general where c is any realdx c x nudxmber 

Hence, in general, we write ,

233x dx x c .
The number c is called the constant of integration.

 , ( ) ( )dHence if g x f x thendx

( ) ( )f x dx g x c ,
For different values of c, we get different integrals of g(x).


() .  ( ) is called indefin f x d ite integ xg r xc al   

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*Integrals of standard functions:

If a and b are any non -zero real numbers,

11()1. , 1 ( ) , 11 ( 1)nn
nn x ax bx dx c n ax b dx c nn a n       

1 1 12. log log()dx x c dx ax b cx ax b a      

13.x x ax b ax be dx e c e dx e ca    

4.log logx bx k
x bx k aaa dx c a dx ca b a
    

1
22115. tanxdx cx a a a


22116. log2xadx cx a a x a

22117. log2axdx ca x a a x

22
2218. log dx x x a c
xa   

22
2219. log dx x x a c
xa   



1
22110. sinxdx ca ax


2
2 2 2 2 111. sin22x a xa x dx a x ca    

2
2 2 2 2 2 212. log22xaa x dx a x x a x c      

2
2 2 2 2 2 213. log22xax a dx x a x x a c      

'( )14. log ( )()fxdx f x cfx

'( )15. 2 ( )
()fxdx f x c
fx



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*Rules of Integration:
If f(x) and g(x) are two real valued functions such that

()f x dx and

( ) ,g x dx exist then

1. [ ( ) ( )] ( ) ( )f x g x dx f x dx g x dx    


2. ), . ( ) ( wher k f x e k is a real c dx k ons f x dx tant 
,

Example s:
Integrate the following w.r.t. where x is given by:
(i)

3+1 4
3 3x + 4 3x + 43x + 4 dx = + C = + C3 3+1 12 
(ii)
 22 4 23 5 9 30 25   x dx x x dx
=
429 30 25 1x dx x dx dx  
=
53
9 30 2553xxxc           
=
53910 255x x x c  
(iii) If
32' 4 3 2    f x x x x k and
 0 1 ; 1 4ff ,
Find
fx .

' 3 24 3 2    f x x x x k

 32' 4 3 2 f x f x dx x x x k dx     
=
224 3 3 2 1x dx x dx x dx k dx     
=
4 3 2
4 3 24 3 2x x xkx c                  

4 3 2     f x x x x kx c munotes.in

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Now
4 3 21 0 0 0 0 0
1f k c
c     



4 3 24 1 1 1 1 1f k c     

111 kc    

1 1 ( 1)kc   


4 2 4 2
2kk
k    


4 3 221 f x x x x x     


*Methods of Integration :
In this method, we reduce the given function to standard form by
changing variable x to t, using some suitable substitution
 xt .
Result:
If
 xt is differentiable function of t
Then,

 ' f x dx f t t dt  
Corollary : 1
1
' , 1 01n
n fxf x f x dx c nn
     
Corollary : 2

'log | |fxdx f x cfx
Corollary: 3

'2fxdx f x c
fx
*Evaluate the following:
(1)
log7 1 logxxx dx
Soln:
log7 1 logxxLet I x dx
Put x log x = t. Different w.r.t. x munotes.in

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1log 1dtxxx dx    

 1 log x dx dt  
log7t 77log 7 log 7xx
t
eeI dt c c     

2)
1
ndxxx
Soln:



1
1
1
11
1
1
1 1
11
11
1 1n
n
n
n
n
n
nLet I dx
xx
xdxx
nxdxnx
dxdxdxn x







 





'
1 1log | 1| [ log | | ]1n fxx c f x cn f x     

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3)
5
51x
xedx
e
Soln:
Let
5
51x
xeI dx
e

Put
51xet . Differentiate w.r.t. x,

5555xx dte dx dt e dx  

1/2 1
1/2 1 1 1 1 1 1
1 5 5 5 512tI dt dt t dt c
tt
     
  

1/2
1/2 5 1 2 2 215 1/ 2 5 5 5x tc t c t c e c       

(4)
11xe
xeexdxex
 .
Soln:
Let
11xe
xeexI dxex
11
1
1xe
xe
x
e
xe
xe
xee e xI dxex
exedxex
e exdx
e e x









()1xe
xedexdxdxe ex




'1log [ log | | ]xe fxe x c f x ce f x     

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 Some Special Integrals :

1)
1
2211tanxdx cx a a a 
2)
2211log2xadx cx a a x a
3)
2211log2axdx ca x a a x
4)
1
221sinxdx ca ax

5)
22
221log dx x x a c
ax   

6)
22
221log dx x x a c
xa   

7)
2
2 2 2 2 1sin22x a xa x dx a x ca     
8)
2
2 2 2 2 2 2log22xaa x dx a x x a x c      
9)
2
2 2 2 2 4 2log22      xax a dx x a x x a c

Ex.: Find the following integrals :

1)
2 2
2 21 1 1 1 1
49 9 49 9 9 7
9 3I dx dx dxxx x       

11
221 1 1 1tan tan77933xxc dx cx a a a            


11 1 3 3 1 3tan tan9 7 7 21 7xxcc               munotes.in

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2)
2 2 2 21 1 1 1 1
1 4 1 4 4 14 2I dx dx dxx x x      


22111 2log1 1 422 2
11log2x
c
x
xadx cx a a x a
  

  



1 2 1log4 2 1xcx

3)
2 2 211
25 5I dx dx
x x
 
22
221log 25 log 25x x c dx x x c
ax
         


4)
22
623 1 1xxI dx dx
x x
 
Put
3 2 233dtx t x dx dt x dx    
1
211sin33 1dtI t c
t   



13 1sin3xc
1
221sinxdx ca ax    
5)
21
48I dxxx

2 2 211
4 4 4 8 22dx dxxx x    

1 12tan22xc
1
2211tan        xdx cx a a a munotes.in

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6)
249 x
Let
249 I x dx

2223 x dx 

2
21 3 9 34 9 sin2 2 2x x xxc    
2
2 2 2 2 1sin22x a xa x dx a x ca         


27) 9 4 x dx
Let
2232 Ix

2
22 399 4 log 3 9 422xxx x x c     


2
2 2 2 2 2 2log22xax a dx x a x x a c      



28) 4 5 x x dx
Let
245 I x x dx  

24 4 1 x x dx   

2221x dx  

22 214 5 log 2 4 522xx x x x x c        


29) 2 ax x dx

2
2 2 22
2Let I ax x dx
a a ax x dx
   


 
2 2 2
2 22 a a ax x dx
a a x dx  
  
 munotes.in

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2
212 sin22a x a a xax x ca      

 10) 3 5 x x dx
28 15 x x dx   

 21 8 15x x dx    

21 { 8 16 16 1 }     x x dx

  221 4 1   x dx

2214 x dx    

2
2 21 1 144 1 4 sin2 2 1xx x c     

1 413 5 sin 422xx x x c      
.

* Integration by parts:
The method of integration by parts is used when the integrand is expressed
as a product of two functions, one of which can be differentiated and the
other can be integrated conveniently.
If u and v are both functions of x, then

 .      du vdx u vdx u vdx dxdx
Note:
(1) When integrand is a product of two functions, out of which the
second has to be integrated ( who’s integral is known), hence we
should make the proper choice of first and second function.
(2) We can also choose the first function as the function which comes
first in the word ‘ LIATE’ where
L-logarithmic function
I-the inverse function
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T-the trigonometry function
E-the exponential function

Examples .: Find the following integrals.
1)
22 xx e dx
Let
22 xI x e dx
22 xu x v e
& by using
.duu v dx u v dx v dx dxdx    
I
2 2 2 2 xx dx e dx x e dx dxdx   

22
2222   xxeex x dx

22
2
2x
x xexe dx

Again by using integration by parts method for
2xx e dx

2 2 2 21
2x x x dx e x e dx x e dx dxdx        

2
2 2 21122x
xx ex e x e dx dx       

2 2 2 21 1 1
2 2 2x x xx e x e e dx  

2
2 2 21 1 1
2 2 2 2x
xx ex e x e c       

2 2 2 21 1 1
2 2 4x x xx e x e e c   
I
2 2 2 21 1 1
2 2 4x x xx e x e e c   

2)
logx dx munotes.in

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Let
log I x dx


1.log x dx
Let
log , 1u x v &
duuv dx u v dx v dx dxdx    

 log 1 log 1dI x dx x dx dxdx    

1logx x x dxx 

log 1x x dx

logx x x c  

3)
32xx dx
Let
32xI x dx
Taking
3&2xu x v by using integration by parts

3322xx dx dx x dx dxdx   

332213 log 2 3 log 2xx
x dx     

3
3 2123 log 2 3log 2x
x xI dx
 

3
3 1 1 223log 2 3log 2 3 log 2x
xxc
    

3
3
21223log 2 9 log 2
    x
xxc

4)
lognx x dx
Let
lognI x x dx munotes.in

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Taking
log &nu x v x integrating by parts

 log lognn dI x x dx x x dx dxdx  

111log11            nnxxx dxn x n

11log11n
n xx x dxnn
 

111log1 1 1nnxxxcn n n      

11log11nxI x cnn    

5)
2log 1 x dx
Let
21 log 1 I x dx  
Taking
2log 1 1u x v   integrating by parts

 22log 1 1 log 1 1dI x dx x dx dxdx     

2
22log 11xx x x dxx    

2
2
2log 1 21  xx x dxx

2
2
211log 1 21xx x dxx  

2
21log 1 2 1 21x x dx dxx   

21log 1 2 2 tanx x x x c    

6)
 log log xdxx munotes.in

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log log 1log logxI dx x dxxx  
Taking
1log log &u x vx , Integrating by parts

 11log log log logdI x dx x dx dxx dx x  

1log log log loglogx x x dxxx 

1log log log x x dxx 

 log log log log x x x c   

 log log log 1x x c  

*Integration by Partial Function:
If f(x) and g(x) are two polynomials, then
()
()fx
gx is a
rational function, where g(x)
 0.

If deg of f(x) < deg of g(x), then
()
()fx
gx is a proper rational function.
It can be expressed by partial fractions using following table.

Where A, B, C and D used in the table are real numbers.
Rational Form Partial Form
1)
2Px qx c
x a x b x c
  

A B c
x a x b x c  
2)
2
2Px qx r
x a x b


2A B c
x a x b xa
3)
2
3Px qx r
x a x b


23A B c D
x a x b x a x a  
4)
2
2Px qx r
x a x bx c
  

2A Bx c
x a x bx c   munotes.in

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Where
2x bx c cannot be
factorized further


Examples :
i) Evaluate
 1 2 1xdxxx
Let
 1 2 1 1 2 1x A B
x x x x   
Multiplying both sides by
 1 2 1xx , we have

 2 1 1 x A x B x    …. (i)
Putting
1x we get
 1 2 1 1 1 1AB   

 13A
1
3A
Putting
1
2x in eqn (i) we get

1 1 12 1 12 2 2AB                
13
22B   

12 13 32B
  

13B
11
1 2 1 3 1 3 2 1xdx dxx x x x      

1 1 1 1
3 1 3 2 1dx dxxx

 1 1 1log 1 log 2 13 3 2xx    

11log 1 log 2 136     x x c


ii) Evaluate
3dx
xx munotes.in

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3 211 1dx dx dx
x x x x x xx     
Let
1
1 1 1 1A B c
x x x x x x     
Multiplying both sides by
 11x x x , we have

 1 1 1 1 1A x x Bx x c x x      

Putting
0, 1x and -1 we have

11AA  
1122BB  

1122cc    


31 1 1
2 1 2 1dxdxx x x x x      

log 111log log 12 1 2   xxx

11log log 1 log 122x x x c     

12log log 1 log 12x x x c        
 2 1log log 1 log 12     x x x c

22 1log log 12   x x c

2
21log21xcx


iii) Evaluate
222
12xdx
xx
Putting
2xt
2x dx dt
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 12dtItt
Now
1
1 2 1 2AB
t t t t   

 1 2 1A t B t    ………. (1)
Putting
1 t in eqn (i) we get
1A
Putting
2 t in eqn (i) we get
1 B
Substituting the values A & B in eqn (1) we get

1
1 2 1 2       dt dtI dxt t t t


log 1 log 2t t c    

22log 1 log 2x x c    
iv) Evaluate
25
12xdx
xx

Let
 225
12 1 2 2x A B c
xx x x x      …. (1)

25 2 1 2 1x A x B x x C x        

Putting
2 x we get
 2 5 0 0 2 1 ABc      

3 c  
3 c  
Putting
1 x we get
21 5 1 2 0 0 A B c      

241A
4A
Comparing coeff of
2x on both sides of equation


  225 4 4 3 2 1x A x x B x x c x        

  24 3 4 2 x A B x A B C A B C       

0 AB  
AB  

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4 B  
Substituting value of A, B & C in eqn (1)

 225 4 4 3
12 1 2 2xdx dx dx dxxx x x x          


21 1 14 4 312 2dx dx dxxx x     

14log 1 4log 2 32x x cx       

34log 1 4log 22x x cx     

v) Evaluate
2
221
4 25xdx
xx

Consider the integrated & replace
2x by
t only.
(Here we are not substituting
t for
x )

Then the integrated becomes
1
4 25 4 25t A B
t t t t   
………. ( x)

 1 25 4t A t B t     
………. (i)
Putting
4 t in eqn (i), we get
13 217AA    
Putting
25t in eqn (i), we get
 25 1 0 21 AB    

2424 2121BB      .
Substituting the values A & B and replacing t by x in eqn (x);
We get ,
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2
22
221
4 25
1 24
7 21
4 25xdx
xx
dx dxxx






221 1 24 1
7 4 21 25  dx dxxx


11 1 24tan tan14 2 105 5             xxc

11 1 1 24 1tan tan7 2 2 21 5 5xxc               

vi) Evaluate
28
24dx
xx
Let
2 28
24 24A Bx cdxxx xx  ………. ( x)
Then
28 4 2A x Bx c x     ………. (i)
Putting
2 x in eqn (i) we get
8 8 1 AA  

Comparing coeff of
2x ,
x and constant number on both sides
of (i)

228 4 2 2Ax A Bx cx Bx c     

22 4 2 x A B x C B A c     

Comparing coeff of
201 x A B A B B        
Comparing coeff of
 2 0 2 1 0 2 x B c c C        
Compare constant form
 4 2 8 4 1 2 2 8AC    
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Substituting value of A, B & C in equation ( x), we get
2 28 1 2
24 24xdx dx dxxx xx   

221122 4 4xdx dx dxx x x      


221 1 2 122 2 4 4xdx dx dxx x x      

21 11log 2 log 4 2. tan2 2 2xx x c      

21 1log 2 log 4 tan22xx x c      

2' 2For using log4fx xdx dx f x cx f x 


and
1
2 2 21 1 1[ using tan ]4xFor dx dx cx x a a a



*Definite Integration :
In geometrical and other applications of integral calculus, it
becomes necessary to find the difference in the values of the integral of a
function f (x) between two assigned values of an independent variable x,
say a, b. The difference is called the defin ite integral f (x),
where a & be are finite number [a, b], over the interval [ a, b] and is
denoted by
b
af x dx . Thus
 b
af x dx b a where
x is an
integral of
fx .
The number a is called lower limit and b is called upper limit of
definite integral. munotes.in

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b
af x dx is called definite integral because the indefinite constant of
integration does not appear in it.
Since
 b
b
a
af x dx x c b c a c b a            

Here arbitrary constant c disappears in the process.

*Fundamental theorem of Integral Calculus:

Let f be the continuous function defined on [a ,b].

If
( ) ( ) ,f x dx x c then
( ) ( ) ( )b
af x dx b a
There is no need of taking the constant of integration c, because c gets
eliminated.

*EXAMPLES:
Evaluate the following integrals :

3
2
2
32
2
32
2
64
42(1)
2
1
2
1
2
112x
x
xe dx
e
e
ee
ee




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211


 1
2
1
1
2
1(2) 3 2
9 12 4x dx
x x dx

  

132
19 12 432xxx
           

132
1
3 2 3 23 6 4
3 1 6 1 4 1 3 1 6 1 1x x x
  
              
 
 
3 1 6 4 3 1 6 1 4 1
3 6 4 3 6 4
1 13            
      
  

1 13 14  


3)
124
1x dx


124
11
1 12x


124
112x



11/2 22 4 1


2 2 1
2 1 2

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23
2
3
2
2
31 2
32(4)
12
2
2x
xe dx
e
ee
ee



 


  
  

(5)
1
01
1dx
xx

 
1
0
1
01
11
1
1xx
dx
x x x x
xxdx

   



1
0
111 12 2
001
1x x dx
x dx x dx  
  



113 32 2
00
1 13 32 2
0 01
3322
22133x x
xx      
      
      

33 3322 22221 1 1 0 1 033         

3 32 2
32
32222 1 133
22 1 13
2223      
  

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1222 2 13
4213  


(6) If
2
038a
x dx , find the value of a

3
0
3
0383
8a
ax
x


(7)
2
1logx dx

2
1log log 1 log x 1dx x dx dx dxdx   

(using integration by parts)

1logx x x dxx   

22
2
1
111log 1 logx dx x x x dxx    

22
11logx x x  

  2log 2 1 log1 2 1   

 2 log 2 0 1  

2log 2 1

log 4 1 .

(8)
3
2
11
1dx
xx munotes.in

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214
Let
2 21
1 1A Bx c
xx xx 

211A x Bx C x     ………. (i)
Putting
01xA
Comparing coeff of
2ofxx on both sides


0 & 0 , 1 A B C B   

3
2
1
33
2
111
1
1
1dx
xx
xdx dxxx




332
1
111log 12   dx xx

3 32
1 11log log 12      xx

  1log 3 log 1 log 10 log 22   

1 10 1log 3 log log 3 log 52 2 2     .



UNIT END EXERCISE:

[A] Evaluate the following integral:


[1] .x xdx
21[2] x dxx
22[3]xxe e dx
2
[4]1xdxx

2[5]4x
xedxe
21[6]
1dx
xx
2
22(3 2 5)[7]( 1) ( 5)xxdxxx

2(3 2)[8]( 2) ( 3)xdxxx

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(3 2)[9]( 2)( 3)xdxxx

2[10] .axx e dx
2[11] (log ) x dx
21[12]
23dx
xx


21[13]8 20dxxx
42[14]1xdxxx
2
222[15]( 4)( 9)xdxxx

2[16] 9 5 x dx


2[17] 4 5 x x dx
2[18] 4 3 2 x x dx
1[19]1x
xedxe

1[20]
1dx
xx


2[21] ( 1)xx e dx
log( )[22]logxdxx
32[23]( 1)xdxx

2[24]65x
xxedxee
1[25]logdxxx

[B] Evaluate the following :

1
01[1]25dxx

1
201
2 2 12 dxxx
4
2 01
233 dx
xx
2
21log4xdxx


3
22 15xdxx
9
461dx
x
2
1log 7 x xdx
4
0( 1)( 4)8xxdx
x


123
0(2 )  9 x x dx
1
01[( 2)( 1)10] dxxx








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6A

Application of
Integration

UNIT STRUCTURE
6B.1 Introduction
6B.2 Unit End Exercise

6B.1. INTRODUCTION

Applications of Integration :
*To find the cost function when Marginal cost is given :
If C repres ent the total cost of producing an output x, then marginal
cost is given by

dcMC C MC dx kdx    
The constant of integration k can be evaluated if the fixed cost (i.e.
the cost when x = 0) is given further, average cost AC ca n be obtained
from the relation :
CACx

Ex: The marginal cost function of a product is given by
2100 10 0.1dcqqdq  
, where q is the output obtain the total and the
average cost function of the firm under the assumption that is fixed cost is

Rs. 500 .
Soln. munotes.in

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2100 10 0.1dcMC q qdq   
Integrating both sides w. r. t. q we have

 2100 10 0.1 C q q dq  

23
100 10 0.123qqqk   
Now the fixed cost is 500 i.e. when q = 0, C = 500
500k
Hence , total cost function is
3
2100 5 50030qC q q   

Average cost is

2500100 5930CqACqq    

Ex.: The marginal cost function of manufacturing x shares is
26 10 6 xx
. The total cost of producing a part of shares is 12. Find the
total and average cost function.
Soln.

26 10 6dMC c x xdx   

 26 10 6 C x x dx   

23
6 10 623xxxk   

Where k is the constant of integration

Now
12C when
2x

232212 6 2 10 623k     


12 12 20 16 k     


12 12 20 16 4k       munotes.in

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 The total cost fu nction is
236 5 2 4c x x x    .


To find the total revenue function and demand function when
marginal revenue function is given.
If R is the total revenue when the output is x, then the marginal
revenue MR is given by
dRMRdx .
Hence, if the MR is given, then the total revenue R is the indefinite

integra l of MR w .r.t. x
i.e.
 R MR dx k , where k is the constant of
integration, which can be evaluated for the fact that the total revenue R is

zero when output x is zero.
Since
R px , the demand function can be easily obtained as
Rpx .

Ex: If the marginal revenue function for output is given by
265
2MR
q

, find the total revenue functions by integration. Also
deduce the demand function.
Soln :

265
2MR
q
 ∴ 𝑹=∫(𝑴𝑹) 𝒅𝒒
∴ 𝑹= ∫(𝟔
(𝒒+𝟐)𝟐−𝟓)𝒅𝒒=−𝟔
𝒒+𝟐−𝟓𝒒+𝒌
Since total revenue is zero at
0q , we get

60 5 02k    
03 k    
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6532Rqq    
6352Rqq  
Also we know,
R P q

63536 252qR qPq q q q q     


 3 2 6 3 6 65522q q
q q q q    

352qPqq is the required demand function.

Ex: If the marginal revenue function is
121
2dRMR qdq where R
stands for total revenue .what is the demand function?
Soln :
121
2dRMR qdq

1 121211
1 22 12qR q dq k

    


12
1/21
122qR
R q k


  
Total revenue R = 0 at q = 0

120 0 0R k k     

12Rq is the Total Revenue function .

121122     RqP q p qqq
is the required demand function.

*Maximum Profit :
Suppose we want to find out the maximum profit of a firm when
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equating marginal c ost to marginal revenue we can find the output that
maximizes total profits.
Profit
P R C , where P = total profit, R = total revenue, C = total cost.

dP dR dC
dx dx dx   ; x = output …. (i)
Integrating eqn (i),
dR dcP dx dx k R C kdx dx     
when k = constant of integration, can be found from the additional
information given.

Remarks :
(i) If may be noted that profit is maximized when marginal revenue
equals marginal cost given the assumption of pure competition
total pro fit is the integral of marginal revenue minus marginal cost
from zero quantity for which profit is maximized.

(ii) To determine profit maximizing output, first find second derivative
of
 MR MC i.e. second derivat ive of total profit i.e.
''px
If
'' 0px then maximum profit at x.
(iii) Total profit zero indicates no profit and total profit negative signify
a loss.

Ex:
The ABC Co. Ltd. has approximated the marginal revenue
function for one of it s product by
220 2 MR x x . The marginal c ost
function is approximated by
281 16 MC x x   . Determine the profit
maximize output and the total profit at the optimal output.
Soln:
Solving for profit maximizing output, set
MR MC

 2 2 2 220 2 81 16 20 2 81 16 9 MR MC MR MC x x x x x x x x             munotes.in

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281 36 3 0 3 9 0 3 9 x x x x x or x           



 2( 81 36 3 ) 36 6 ''ddMR MC x x x p xdx dx       


 '' 3 36 6 3 18 0p   


3 At x Profit is minimum.


 '' 9 36 6 9 18 0p    


9 At x Profit is maximum .

Total Profit
 9
2
081 36 3 x x dx    

923
081. 36. 3.23xxx   

923
081 18x x x   

2381 9 18 9 9
0 . ;Which indicates no profit   


To find the consumption function when the marginal propensity to
consume (MPC) is given :
If p is the consumption when the disposable income of a person is
x, the marginal propensity to consume (MPC) is given by
dpMPCdx
Hence if MPC is given, the consumption p is given the indefinite
integral of M.P.C. w.r.t. x. i.e. munotes.in

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 p MPC dx k
The constant of integration k, can be evaluated if the value of p is
known for some x.

Ex. If the marginal propensity to save (MPS) is 1.5 + 0.2 x-2, when x is the
income. Find the consumption function, given that the consumption is 4.8
when income is ten.

Soln. Now “derivative of consumption function w.r.t. output represents
marginal propensity to consume”.
21.5 0.2dpMPS xdx  


2 1 1
21.5 0.2 1.5 0.2 1.5 0.22 1 1xxp x dx x k k  
           
0.21.5p x kx  

Now p = 4.8 when x = 10


0.24.8 1.5 10 kx   

10.18 k 

Hence the consumption function is

0.21.5 10.18pxx  

In order to find CS under monopoly, i.e. to maximise profit we must have
MR = MC

2144 96 12 56 4 x x x     

212 100 88 0xx   

23 25 22 0xx   

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When
2
0 0 01, 12 2 100x D x p    
 1
2
0144 48 4 1 100 CS x x dx    

123
0
04 64144 48. 4. 100 144 24 100 units2 3 3 3       xxx


Again when
2
0 0 022 44 64; 123 3 9x p D x     
 22/3
2
022 64144 48 439    CS x x dx

=
22/33
2
048 1408144 42 3 27  xxx
=
2322 22 4 22 1408144 243 3 3 3 27                 
=
3168 11616 4 10648 1408
3 9 3 27 27   
=
85536 104544 42592 4224
81  
=
19360
81units

 Consumer’s Surplus :
Consumer’s Surplus
0
00
0x
CS D x dx x p  
Ex.: The demand law for a commodity is
220p D D   . Find the
consumer’s surplus when the demand is 3.
220 p f D D D   

When demand
03 D the price
2
020 3 3 8 p  

Consumer’s Surplus =
1
00
0D
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=
 3
2
020 8 3 D D dD   

=
9 2720 3 2423D  


960 9 242   

=
120 9 18 48
2  

45
2

Ex: Demand and supply functions are
222 D x x and
56 4 S x x
respectively. Determine CS under monopoly (so as to
maximise the profit) and the supply function is identified with the
marginal cost function.

Soln.
() TR x D x

=
212 2xx
=
 2144 48 4x x x  
=
23144 48 4 TR x x x  


2144 96 12dMR TR x xdx    

Since the supply price is identified with MC, we have

. . 56 4M C x
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 Producer’s Surplus :
Producer’s Surplus
0
00
0  x
PS x p S x dx

Ex. Find the producer surplus under the pure competition for demand
function
821Px and supply function
132Px where p is price
and x is quantity.

Soln.: Under pure competition, market equilibrium conditions can be
obtained by equating the demand and supply.

812312xx  

 16 4 1 3 1 x x x     


216 4 4 4 3 x x x     

28 9 0xx   

 9 1 0xx   

1x or
9 x

9x
is inadmissible as quantity cannot be negative
1x

When
1x
882 2 4 2 21 1 1px      


Producer surplus :
0
00
0x
p x S x dx
=
1
03122xdx munotes.in

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=
12
012322xx

112322
17222
724
71244  


  

Ex. The demand and supply function under perfect competition are
216yx
and
224yx respectively. Find the market price
consumer’s surplus and producer’s surplus.

Soln:
Demand function:
216yx …. (1) Substracting (1) from 2
Supply function :
224yx …. (2)
20 12 3 x
0 2xx

when
2
0 16 2 12yy   
Thus when the quantity demanded or supplied is 2 units the price is 12
units.

2
2
016 2 12 CS x dx   

=
23
016 243xx
=
832 243
=
165333
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Producer’s surplus :
=
2
2
02 12 2 4 x dx  
=
23
024 2 43xx
=
224 8 4 23
=
1624 83
=
3210.673

*The Learning Curve:
In any environment if a person is assigned to do the same task, then after a
period of time, there is an improvement in his performance. If data points
are collected over a period of time, the curve constructed on the graph will
show a decrease in effort per unit for repetitive operations. This curve is
very important in cost analysis, cost estimation and efficiency studies.
This curve is called the learning curve. The learning curve shows that if a
task is performed over and over than less time will be required at each
iteration .
The rate of reduction in direct labour requiremen ts is
described by a curve called Learning curve. The general form of the
function is usually taken as:
f(x)=A.x
Where f(x) is the number of hours direct labour required to produce the xth
unit,-1<0 and A>0.
The total number of labour hours required to produce units numbered ‘a’
through ‘b’ is
( ) .bb
aaN f x dx A x dx

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y
xfxAxa

Ex.:

After producing 35 units the production manager of x company
determines that its production facility is following a learning curve of the
form
0.5100 f x x where
fx is the rate of labor hours required to
assemble the xth unit. How many total labor hours should they estimated
are required to produce an additional 25 units.

Soln.:


60
0.5
351000 N x dx

6060 0.5 6010.5 2
3535 3510001000 10000.5 0.5xx dx x   

 11222000 60 35 2000 7.746 5.916 3660 hours    


*Rate of Sales:
When the rate of sales of a product is a known function of x, say
fx
where x is a time measure, the total sales of this product over a time
period T is

0T
f x dx .


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Ex.:
Suppose the rate of sales of a new product is given by
200 90xf x e
where x is the number of days the product is on the
market. Find the total sales during the first 4 days. Given :
40.018 e .

Soln.:

The total sales
 44
0090200 90 2001x
x ef x dx e dx x
      

440
0200 90 200 4 90 0 90xx e e e                 

4800 90 90 710 90 0.018 711.62 units e     
.

6B.2. UNIT END EXERCISE:

[1] The marginal cost function of a firm is given by MC=3000.e0.3x+50,
when x is quantity produced. If fixed cost is Rs. 80,000, find the total
cost function of the firm. [TC=10000e0.3x+50x+70,000]

[2] Find the total cost function and demand function if marginal revenue
is MR=7 -4x-x2.

[3] A company determines that the marginal cost of producing x units of
a particular commodity during a one -day operation is MC=16x -
1591, where the commodity is fixed at Rs. 9 per unit and the fixed
cost is Rs. 1800 per day.(a)Find the cost function.(b)Find the
revenue function.(c)find the profit function. (d)What is the
maximum profit that can be obtained in a one -day operation?
[Hint:(a)C (X)=
2( ) (16 1591) 8 1591MC dx x dx x x k     munotes.in

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(a)Now the fixed cost is 1800. i.e. when x= 0, c=1800. Therefore,
k=1800.
Hence the total cost function is C(x)=
28 1591 1800xx .
(b)R( x)=9 x
(c) P( x)=R( x)-C(X)=
28 1600 1800xx  
(d)P
' (x)=-16 x +1600=0
 x =100.
Also p
'
' ( x) = -16<0
 The maximum profit can be obtained in
one day is P(100)=Rs.78,200]

[4] The marginal cost of a production of a firm is given as
C’(x) =5 +0.13x. Further, the marginal revenue is R
' (x)=18. Also it
is given that C(0)=Rs.120. Compute the total profit.
[Sinc e profit is maximum, where MC=MR.
i.e. 5+0.13x=18
 x=100

1 ( ) '( ) 18 18R x R x dx dx x k   , where put k 1=0,asunder pure
competition,
TR = Output x Price
R(x)=18 x.

2
2 ( ) '( ) (5 0.13 ) 5 0.132xC x C x dx x dx x k     .But given that C(0)=120

k2=120.

 C(x)=5 x+0.065 x 2+120.and P( x)=R( x)-C(x)
=13x -0.065 x 2-120.

 Total profit when x =100,P(100)=Rs. 530]

[5] Find the consumer surplus and producer surplus under pure
competition for demand function

821px and supply function
3
2xp , where p is price and x is
quantity.
[Under pure competition, market equilibrium conditions can be
obtained by equating the demand and supply. CS=8log2 -4 and
PS=1/4.]
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[6] Find the consumer surplus and producer surplus defined by demand
curve D(x)=20 -5x
And supply curve S(x)=4x+8.

4/3
040 4[ (20 5 ) ,33CS x dx X   and
4/3
0160(4 8)9PS x dx   ]

[7] Under a monopoly, the quantity sold and market price are
determined by the demand function. If the demand function for a
profit maximizing monopolist is P=274 -x 2 and MC=4+3 x, find
consumer’s surplus.[TR=P.x=274x -x3,MR=274 -3x2,the monopolist
Maximizes profit at MR=MC. X 0=9and p 0=193
And

9
2
0(274 ) 193 9 486] CS x dx X   

[8] The production manager of an electronic company obtained the
following function
0.5( ) 1356.4f x x , where f(x) is the rate of labour
hours required to assemble the unit of a product. The function is
based on the experience of assembling the first 50 units of the
product. The company was asked to bid on a new order of 100
additional units.
Find the total la bour hours required to assemble 100 units


150
0.5
50[ ( ) . 1356.4 ]bb
aaN f x dx A x dx x     




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