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Mathematics. Session Applications of Derivatives - 2.

Mar 26, 2015

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Page 1: Mathematics. Session Applications of Derivatives - 2.

Mathematics

Page 2: Mathematics. Session Applications of Derivatives - 2.

Session

Applications of Derivatives - 2

Page 3: Mathematics. Session Applications of Derivatives - 2.

Session Objectives

Increasing and Decreasing Functions

Use of Derivative

Maximum and Minimum

Extreme and Critical points

Theorem 1 and 2

Greatest and Least Values

Class Exercise

Page 4: Mathematics. Session Applications of Derivatives - 2.

Increasing Function

Increasingfunction

a x1 bx2

X

Y

f(x1)

f(x2)

O

Page 5: Mathematics. Session Applications of Derivatives - 2.

Increasing Function

A function is said to be a strictly increasing function of x on (a, b).

1 2 1 2 1 2I f x < x in a, b ƒ x < ƒ x for all x , x a, b

‘Strictly increasing’ is also referred to as ‘Monotonically increasing’.

Page 6: Mathematics. Session Applications of Derivatives - 2.

Decreasing Function

Decreasingfunction

a x1 bx2X

Y

f(x1)

f(x 2)

O

Page 7: Mathematics. Session Applications of Derivatives - 2.

Decreasing Function

A function ƒ(x) is said to be a strictly decreasing function of x on (a, b).

1 2 1 2 1 2I f x < x in a, b ƒ x > ƒ x for all x , x a, b

‘Strictly decreasing’ is also referred to as ‘Monotonically decreasing’.

Page 8: Mathematics. Session Applications of Derivatives - 2.

Use of Derivative

Let f(x) be a differentiable real function defined on an open interval (a, b).

(i) I f ƒ x >0 for all x (a, b) f(x) is increasing on (a,b).

(ii) I f ƒ x <0 for all x (a, b) f(x) is decresing on (a,b).

Page 9: Mathematics. Session Applications of Derivatives - 2.

Use of Derivative (Con.)

Y = f(x) T

X

Y

O T' a bFigure 1

P

Slope of tangent at any point in (a, b) > 0

As tanθ >0 for 0<θ <90°

dyƒ x 0

dx for all x in (a, b).

Page 10: Mathematics. Session Applications of Derivatives - 2.

Use of Derivative (Con.)

Figure 2 T'X

YT a

bP

O

Slope of tangent at any point in (a, b) < 0

As tanθ <0 for 90° <θ <180°

dyƒ x 0

dx for all x in (a, b).

Page 11: Mathematics. Session Applications of Derivatives - 2.

Example-1

For the function f(x) = 2x3 – 8x2 + 10x + 5, find the intervals where

(a)f(x) is increasing(b) f(x) is decreasing

Page 12: Mathematics. Session Applications of Derivatives - 2.

Solution

We have

3 2ƒ (x) =2x - 8x +10x +5

2ƒ (x) =6x - 16x +10

2=2(3x - 8x +5)

=2(3x - 5) (x - 1)

ƒ (x) =0 2(3x - 5) (x - 1) =0

5x = , 1

3

Page 13: Mathematics. Session Applications of Derivatives - 2.

Solution Cont.

5For 1<x < , ƒ (x) is negative

3

5For x > , ƒ (x) is positive

3

For x < 1, is positive.ƒ (x) =3(3x - 5) (x - 1)

ƒ (x) is increasing for x < 1 and5

x >3

and it decreases for 51<x <

3

Page 14: Mathematics. Session Applications of Derivatives - 2.

Example-2

Find the intervals in which the function in increases or decreases.

ƒ (x) = x + cosx[0, 2 ]

Solution: We have ƒ (x) = x + cosx

ƒ (x) =1 - sinx

As sinx is 1 for all x 0, 2

And sinx =1 for x =2

ƒ x > 0 for all x except x =2

ƒ x is increasing for all x except x =2

.

Page 15: Mathematics. Session Applications of Derivatives - 2.

Maximum and Minimum

Page 16: Mathematics. Session Applications of Derivatives - 2.

Maximum and Minimum

The point a is called the point of maximum of the function f(x).

In the figure, y = f(x) has maximum values at Q and S.

ƒ a > ƒ a+δIf and ƒ a > ƒ a- δ for all small values of δ.

The point b is called the point of minimum of the function f(x).

In the figure, y = f(x) has minimum values at R and T.

ƒ b < ƒ b+δIf and ƒ b < ƒ b- δ for all small values of δ.

Let y = ƒ x be a function

Page 17: Mathematics. Session Applications of Derivatives - 2.

Extreme Points

The points of maximum or minimum of a function are called extreme points.

At these points, ƒ x = 0, if ƒ x exists.

X

Y

O(i)

P

X

Y

O(ii)

Q

At P and Q ƒ x does not exit.

Page 18: Mathematics. Session Applications of Derivatives - 2.

Critical Points

The points at which or at which does not exist are called critical points.

ƒ x =0 ƒ x

A point of extremum must be one of the critical points, however, there may exist a critical point, which is not a point of extremum.

Page 19: Mathematics. Session Applications of Derivatives - 2.

Theorem - 1

Let the function be continuous in some interval containing x0 .

y = ƒ x

ƒ x >0 ƒ x <0(i) If when x < x0 and When

x > x0 then f(x) has maximum value at x = x0

ƒ x <0 ƒ x >0(ii) If when x < x0 and When

x > x0 ,then f(x) has minimum value at x = x0

Page 20: Mathematics. Session Applications of Derivatives - 2.

Theorem - 2

If x0 be a point in the interval in which y = f(x) is

defined and if 0 0ƒ x =0 and ƒ x 0

if0 0i ƒ x is a maximum ƒ x <0

if0 0ii ƒ x is a minimum ƒ x >0

Page 21: Mathematics. Session Applications of Derivatives - 2.

Greatest and Least Values

The greatest or least value of a continuous function f(x) in an interval [a, b] is attained either at the critical points or at the end points of the interval.

So, obtain the values of f(x) at these points and compare them to determine the greatest and the least value in the interval [a, b].

Page 22: Mathematics. Session Applications of Derivatives - 2.

Example-3

Find all the points of maxima and minima and the corresponding maximum and minimum values of the function:

4 3 23 45f x = - x - 8x - x +105

4 2(CBSE 1993)

Page 23: Mathematics. Session Applications of Derivatives - 2.

Solution

4 3 23 45f x = - x - 8x - x +105

4 2

3 2f' x = -3x - 24x - 45x

We have

2f' x = -3x x +8x +15

For maximum or minimum f’(x) = 0

2-3x x +8x +15 = 0

-3x x +3 x +5 = 0

x = 0, - 3, - 5

Page 24: Mathematics. Session Applications of Derivatives - 2.

Solution Cont.

2f'' x = -9x - 48x - 45

At x = 0, f'' 0 = -45 < 0

f(x) is maximum at x = 0

The maximum value at x = 0 is f(0) = 105

f(x) is minimum at x = -3

The minimum value at x = -3 is

2f'' -3 = -9 -3 - 48 -3 - 45 =18 > 0At x = -3,

4 3 23 45 231f -3 = - -3 - 8 -3 - -3 +105 =

4 2 4

Page 25: Mathematics. Session Applications of Derivatives - 2.

Solution Cont.

The maximum value at x = -5 is

2f'' -5 = -9 -5 - 48 -5 - 45 = -30 < 0

f(x) is maximum at x = -5

At x = -5,

4 3 23 45 295f -5 = - -5 - 8 -5 - -5 +105 =

4 2 4

Page 26: Mathematics. Session Applications of Derivatives - 2.

Example-4

Show that the total surface area of a cuboid with a square base and given volume is minimum, when it is a cube.

Solution: Let the cuboid has a square base of edge x and height y.

2The volume of cuboid, V = x y

The surface area of cuboid, S = 2 x×x +x×y +x×y

2= 2x + 4xy

22

V= 2x + 4x.

x

Page 27: Mathematics. Session Applications of Derivatives - 2.

Con.

2 2VS = 2 x +

x

dSFor minimum surface area, = 0

dx

2

2V2 2x - = 0

x

3 3x - V = 0 x = V

2

2 3

d S 4V= 2 2 +

dx x

Page 28: Mathematics. Session Applications of Derivatives - 2.

Con.

3

2V= 4 1 +

x

3x = V

2

2

d S 2V= 4 1 + = 4×3 =12

Vdx

23

2

d VAs > 0 at x = V

dx

3x = V , surface area is minimum. At

Page 29: Mathematics. Session Applications of Derivatives - 2.

Con.

33x = V V = x

2 3x y = x y = x

Cuboid is a cube.

Page 30: Mathematics. Session Applications of Derivatives - 2.

Thank you