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MAXIMA AND MINIMA 
Increasing and Decreasing Functions A function y = f(x) is said to be an increasing function of x in an interval, say a < x < b, if y increases as x increases. i.e. if a < x1 < x2 < b, then f(x1 ) < f(x2 ).
A function y = f(x) is said to be a decreasing function of x in an interval, say a < x < b, if y decreases as x increases. i.e. if a < x1 < x2 < b, then f(x1 ) > f(x, ).

Sign of the derivative Let f be an increasing function defined in a closed interval [a,b]. Then for any two values x1 and x2 in [a, b] with x1 < x2 ,
we have f (x1 ) < f (x2 ).
∴ f(x1 ) < f(x2 ) and x2 - x > 0

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com
Similarly, if f is decreasing on [a,b] then f '(x) ≤ 0, if the derivative exists.

The converse holds with the additional condition, that f is continuous on [a, b].
 Note Let f be continuous on [a,b] and has derivative at each point of the open interval (a,b), then
(i) If f '(x) > 0 for every x ∈ (a,b), then f is strictly increasing on [a,b]
(ii) If f '(x) < 0 for every x ∈ (a,b), then f is strictly decreasing on [a,b]
(iii) If f '(x) = 0 for every x ∈ (a,b), then f is a constant function on [a,b]
(iv) If f '(x) > 0 for every x ∈ (a,b), then f is increasing on [a,b]
(v) If f '(x) < 0 for every x ∈ (a,b), then f is decreasing on [a,b]

The above results are used to test whether a given function is increasing or decreasing.

 Stationary Value of a Function

A function y = f(x) may neither be an increasing function nor be a decreasing function of x at some point of the interval [a,b]. In such a case, y = f(x) is called stationary at that point. At a stationary point f '(x) = 0 and the tangent is parallel to the x - axis.

Example 1

If y = x- 1/x, prove that y is a strictly increasing function x for all real values of x. (x σ 0)

Solution :
We have y = x -1/x Differentiating with respect to x, we get

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com for all values of x, except x = 0
∴ y is a strictly increasing function for all real values of x. (x ≠ 0)

Example 2 If y = 1+ 1/x , show that y is a strictly decreasing function x for all real values of x. (x σ 0)
Solution :

We have   Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com for all values of x. (x ≠ 0) dx x 2

∴  y is a strictly decreasing function for all real values of x. (x ≠ 0)

Example 3 Find the ranges of values of x in which 2x3 - 9x2 +12x + 4 is strictly increasing and strictly decreasing.

Solution : Let y = 2x3 - 9x2 + 12x + 4
dx /dy = 6x2 - 18x + 12
           = 6(x 2 - 3x + 2)
           = 6(x - 2) (x - 1)
 dx /dy  > 0 when x < 1 or x > 2
x lies outside the interval (1, 2).
 dx /dy   < 0 when 1 < x < 2

∴  The function is strictly increasing outside the interval [1, 2] and strictly decreasing in the interval (1, 2)

Example 4 Find the stationary points and the stationary values of the function f(x) = x3 - 3x2 - 9x + 5. Solution :
Let y = x3 - 3x2 - 9x + 5
   dx/dy = 3x 2 - 6x - 9
At stationary points, dy/dx = 0

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com
The stationary points are obtained
when x = -1 and x = 3
when x = -1, y = (-1)3 - 3(-1)2 - 9(-1) + 5 = 10
when x = 3, y = (3)3 - 3(3)2 - 9(3) + 5 = -22  

∴   The stationary values are 10 and -22 The stationary points are (-1, 10) and (3, -22)

Example 5 For the cost function C = 2000 + 1800x - 75x 2 + x 3 find when the total cost (C) is increasing and when it is decreasing. Also discuss the behaviour of the marginal cost (MC)

Solution : Cost function C = 2000 + 1800x  -75x 2 + x 3
Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com
Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

 

∴ C is increasing for 0 < x < 20 and for x > 30. C is decreasing for 20 < x < 30

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com
Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com
∴ MC is decreasing for x < 25 and increasing for x > 25.

 Maximum and Minimum Values

Let f be a function defined on [a,b] and c an interior point of [a,b] (i.e.) c is in the open interval (a,b). Then
(i) f(c) is said to be a maximum or relative maximum of the function f at x = c if there is a neighbourhood (c-δ , c + δ) of c such that for all x ∈ (c- δ, c + δ) other than c, f(c) > f(x)
(ii) f(c) issaid to be a minimumorrelativeminimumofthe function f at x = c if there is a neighbourhood (c- δ, c + δ) of c such that for all x ∈ (c- δ, c + δ) other than c, f(c) < f(x).
(iii) f(c) is said to be an extreme value of f or extremum at c if it is either a maximum or minimum.

Local and Global Maxima and Minima

Consider the graph (Fig. 4.1) of the function y = f(x).

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com



The function y = f(x) has several maximum and minimum points. At the points V , V , ...V , dy = 0. In fact the function has 1 2 8 dx maxima at V1 , V3 , V5 , V7 and minima at V2 , V4 , V6 , V8 . Note that maximum value at V5 is less than the minimum value at V8 . These maxima and minima are called local or relative maxima and minima. If we consider the part of the curve between A and B then the function has absolute maximum or global maximum at V7 and absolute minimum or global minimum at V2 .

Note By the terminology maximum or minimum we mean local maximum or local minimum respectively.

Criteria for Maxima and Minima

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Concavity and Convexity
Consider the graph (Fig. 4.2) of the function y = f(x). Let PT be the tangent to the curve y = f(x) at the point P. The curve (or an arc of the curve) which lies above the tangent line PT is said to be concave upward or convex downward.

 

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com
The curve (or an arc of the curve) which lies below the tangent line PT (Fig. 4.3) issaid to be convex upward or concave downward.
Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

 Conditions for Concavity and Convexity.

Let f(x) be twice differentiable. Then the curve y = f(x) is (
i) concave upward on any interval if f "(x) > 0
(ii) convex upward on any interval if f "(x) < 0

 Point of Inflection A point on a curve y = f(x), where the concavity changes from upto down or vice versa is called a Point of Inflection.

For example, in y = x 1/3 (Fig. 4.4) has a point of inflection at x = 0

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Example 6 Investigate the maxima and minima of the function 2x 3 + 3x 2 - 36x + 10. Solution :
Let y = 2x 3 + 3x 2 - 36x + 10 Differentiating with respect to x, we get

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Again differentiating (1) with respet to x, we get

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com
∴ It attains maximum at x = -3
∴ Maximum value is y = 2(-3)3 + 3(-3)2 - 36(-3) + 10 = 91 d 2 y
when x =2, dx2 = 12(2) + 6 = 30 > 0
∴ It attains minimum at x = 2
∴ Minimum value is y = 2(2)3 + 3(2)2 - 36(2) + 10 = -34

Example 7
Find the absolute (global) maximum and minimum values of the function f(x) = 3x 5 - 25x 3 + 60x + 1 in the interval [-2, 1]

Solution : Given f(x) = 3x5 - 25x 3 + 60x + 1 f 1 (x) = 15x 4 - 75x 2 + 60

The necessary condition for maximum and minimum is f'(x) = 0

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com
Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com
Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

The maximum value when x = -2
is f(-2) = 3(-2)5 - 25(-2)3 + 60(-2) + 1 = -15
The minimum value when x = -1
is f(-1) = 3(-1)5 - 25(-1)3 + 60(-1) + 1 = -37
The maximum value when x = 1
is f(1) = 3(1)5 - 25(1)3 + 60(1) + 1 = 39

∴ Absolute maximum value = 39. and Absolute minimum value = -37

Example 8
What is the maximum slope of the tangent to the curve y = -x 3 + 3x 2 +9x - 27 and at what point is it?

Solution : We have y = -x 3 + 3x 2 +9x - 27 Differentiating with respect to x, we get

dx/dy = = -3x 2 + 6x +9
∴  Slope of the tangent is -3x 2 +6x + 9
Let M = -3x 2 +6x + 9

Differenating with respect to x, we get
dM/dx = -6x + 6 ------------(1)

Slope is maximum when  Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com
       dM/dx = 0 ⇒ -6x + 6 = 0
                       ⇒ x = 1

Again differentiating (1) with respect to x, we get
Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

∴ Maximum value of
M when x = 1 is M = - 3(1)2 + 6(1)+9 = 12

When x = 1 ; y = - (1)3 +3(1)2 +9(1)- 27 = -16
∴ Maximum slope = 12

The required point is (1, -16)

Example 9
Find the points of inflection of the curve y = 2x 4 - 4x 3 + 3.

Solution

 We have y = 2x 4 -4x 3 + 3

Differentiate with respect to x , we get

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com


∴ points of inflection exist.
when x = 0, y = 2(0)4 - 4(0)3 + 3 = 3
when x = 1, y = 2(1)4 - 4(1)3 + 3 = 1
∴ The points of inflection are (0, 3) and (1, 1)


Example 10
Find the intervals on which the curve f(x) = x 3-6x 2+9x-8 is convex upward and convex downward.

Solution : We have f(x) = x 3 - 6x 2 + 9x - 8

Differentiating with respect o x,

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

 

Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com Maxima And Minima - Differentiation, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

 

∴ The curve is convex upward in the interval (-∞, 2)
The curve is convex downward in the interval (2, ∞)

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FAQs on Maxima And Minima - Differentiation, Business Mathematics & Statistics - Business Mathematics and Statistics - B Com

1. What is the concept of maxima and minima in differentiation?
Ans. In differentiation, maxima and minima refer to the highest and lowest points, respectively, on a curve or function. These points are critical because they indicate the maximum or minimum values of the function within a specific interval. The process of finding these points involves differentiating the function and then analyzing the points where the derivative is equal to zero or undefined.
2. How are maxima and minima used in business mathematics?
Ans. Maxima and minima are extensively used in business mathematics to optimize decision-making processes. For example, in economics, businesses often aim to maximize profits or minimize costs. By applying the principles of differentiation and finding the maxima or minima of relevant functions, businesses can determine the best pricing strategies, production levels, or resource allocations to achieve their objectives.
3. What statistical techniques can be applied to find maxima and minima in business data?
Ans. In business statistics, several techniques can be used to identify maxima and minima in data. Some commonly employed methods include regression analysis, time series analysis, and optimization models. Regression analysis helps to identify the relationship between variables and can be used to find the maximum or minimum values of a dependent variable. Time series analysis is useful for forecasting future values, including identifying points of maximum or minimum. Optimization models help determine the best allocation of resources to maximize or minimize a particular objective.
4. Can maxima and minima be applied to non-mathematical aspects of business?
Ans. Yes, the concept of maxima and minima can be applied to non-mathematical aspects of business as well. For instance, in marketing, businesses often aim to maximize customer satisfaction or minimize customer complaints. By analyzing customer feedback and identifying patterns, businesses can determine the factors that contribute to customer satisfaction or dissatisfaction and take appropriate actions to maximize positive outcomes or minimize negative ones.
5. Are there any limitations or assumptions associated with using maxima and minima in business decision-making?
Ans. Yes, there are certain limitations and assumptions when using maxima and minima in business decision-making. Firstly, these techniques assume that the relationships between variables are linear and do not consider complex interactions or nonlinear relationships. Additionally, they assume that the data used for analysis is accurate and representative of the business environment. Moreover, the presence of outliers or extreme values can significantly affect the results. Therefore, it is important to carefully consider these limitations and validate the assumptions before using maxima and minima in business decision-making processes.
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