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Maxima and Minima - Definition, Types, Graph, Examples

Maxima and Minima - Definition, Types, Graph, Examples

Edited By Komal Miglani | Updated on Jul 02, 2025 07:51 PM IST

Functions are one of the basic concepts in mathematics that have numerous applications in the real world. Be it mega skyscrapers or super-fast cars, their modeling requires methodical application of functions. Almost all real-world problems are formulated, interpreted, and solved using functions. Image and pre-image help in determining the domain and range of the function. The practical applications of image and pre-image are graphing functions, inverse functions, and database queries.

In this article, we will cover the concepts of Maxima and Minima of the function. This concept falls under the broader category of sets relation and function, a crucial Chapter in class 11 Mathematics. It is not only essential for board exams but also for competitive exams like the Joint Entrance Examination (JEE Main), and other entrance exams such as SRMJEE, BITSAT, WBJEE, BCECE, and more. Over the last ten years of the JEE Main exam (from 2013 to 2023), a total of thirty-nine questions have been asked on this concept, including two in 2013, two in 2015, four in 2016, one in 2017, two in 2018, five in 2019, four in 2020, eight in 2021, six in 2022, and three in 2023.

Maxima and Minima of a Function

Function-

A relation from a set A to a set B is said to be a function from A to B if every element of set A has one and only one image in set B.

OR

A and B are two non-empty sets, then a relation from A to B is said to be a function if each element x in A is assigned a unique element f(x) in B, and it is written as

f: A ➝ B and read as f is a mapping from A to B.

Let f be a function defined on an open interval I. Let f be continuous at a critical point c in I. Then
(i) If f '(x) changes sign from positive to negative as x increases through c, i.e., if f '(x) > 0 at every point sufficiently close to and to the left of c, and f '(x) < 0 at every point sufficiently close to and to the right of c, then c is a point of local maxima.
(ii) If f '(x) changes sign from negative to positive as x increases through c, i.e., if f '(x) < 0 at every point sufficiently close to and to the left of c, and f '(x) > 0 at every point sufficiently close to and to the right of c, then c is a point of local minima.

Let y = f(x) be a real function defined at x = a. Then the function f(x) is said to have a maximum value at x = a if f(x) ≤ f(a) ∀ a ∈ R.

And also the function f(x) is said to have a minimum value at x = a, if f(x) ≥ f(a) ∀ a ∈ R

Concept of Local Maxima and Local Minima

The function f(x) is said to have a local maxima (or maxima) at a point ‘a’ if the value of f(x) at ‘a’ is greater than its values for all x in a small neighborhood of ‘a’ .

In other words, f(x) has a maxima at x = ‘a’, if f(a + h) ≤ f(a) and f(a - h) ≤ f(a), where h > 0 (very small quantity).

The function f(x) is said to have local minima (or minima) at a point ‘b’ if the value of f(x) at ‘b’ is less than its values for all x in a small neighborhood of ‘b’ .

In other words, f(x) has a maximum at x = ‘b’, if f(b + h) ≥ f(b) and f(b - h) ≥ f(b), where h > 0 (very small quantity).

Methods to find points of Local maxima and Local minima

At points of local maxima and local minima, the slope of the tangent drawn to the curve is zero. For local maximum dy / dx changes from positive to negative and for local minimum dy / dx changes from negative to positive.

$Where\:\:y=f(x)$

$\frac{dy}{dx}=f'(x)$

By second derivative method :

$Step\:1.\:\:find\:values\:of\:x\:for\:\frac{dy}{dx}=0$

$Step\:\:2.\:\:\:x=x_{\circ }\:\:is\:a\:point\:of\:local\:maximum\:if$$f''(x)<0\:\:and\:local\:minimum\:if\:f''(x)>0$.

Solved Examples Based on Maxima and Minima of Function:

Example 1: Let the tangents drawn to the circle, x2+y2=16 from the point P(0, h) meet the x-axis at points A and B. If the area of $\Delta APB$ is minimum, then h is equal to : [JEE Main 2015]

1) $4\sqrt{3}$

2) $3\sqrt{3}$

3) $3\sqrt{2}$

4) $4\sqrt{2}$

Solution

As we learned in

Maxima Minima -

A functions graph follows up and down along the x-axis then the upper part is known as maxima and lower part is known as minima.

-

Let equation of tangent is

$(y-h)=M(x-0)$

$\therefore y=Mx-h$

$\therefore h=\pm\sqrt{1+M^{2}}$

$\therefore AB=\pm\frac{4\sqrt{1+M^{2}}}{M}$

$\therefore Area =\frac{1}{2}\times AB\times OP$

$=\frac{1}{2}\times \frac{8\sqrt{1+M^{2}}}{M}\times 4\sqrt{1+M^{2}}$

$\frac{dA}{dm}=0$ $\therefore m = 1$

$\therefore h=4\sqrt{1+1}$$=4\sqrt{2}$

Example 2: If $f(x)$ is non-zero polynomial of degree four,having local extreme points at $x=-1,0,1;$ then the set $S=\left \{ x\; \epsilon\; R:f(x)=f(0) \right \}$ contains exactly : [JEE Main 2019]

1) four irrational numbers.

2) four rational numbers.

3) two irrational and two rational numbers.

4) two irrational and one rational number.

Solution

given that

$f\left ( x \right )=f\left ( 0 \right )$

$a\left ( \frac{x^{4}}{4}-\frac{x^{2}}{2} \right )+c=c$

$\left ( \frac{x^{4}}{4}-\frac{x^{2}}{2} \right )=0$

$\Rightarrow x^{2}\left ( x^{2}-2 \right )=0$

$x=0,\pm \sqrt{2}$

$S=\left \{ 0,\sqrt{2},-\sqrt{2} \right \}$

Example 3: The maximum volume (in cu.m) of the right circular cone having a slant height 3 m is: [JEE Main 2019]

1) $6\pi$

2) $3\sqrt{3}\pi$

3) $\frac{4}{3}\pi$

4) $2\sqrt3\pi$

Solution

Method for maxima or minima -

By second derivative method :

$Step\:1.\:\:find\:values\:of\:x\:for\:\frac{dy}{dx}=0$

$Step\:\:2.\:\:\:x=x_{\circ }\:\:is\:a\:point\:of\:local\:maximum\:if$ $f''(x)<0\:\:and\:local\:minimum\:if\:f''(x)>0$

- wherein

$Where\:\:y=f(x)$

$\frac{dy}{dx}=f'(x)$

$l=3m\left ( slant\: \: height \right )$

$h=3\cos \left ( \theta \right )$

$r=3\sin \left ( \theta \right )$

Volume of right circular cone

$V=\frac{1}{3}\pi r^{2}h$

$=\frac{1}{3}\pi \left ( 3\sin \left ( \theta \right ) \right )^{2}\left ( 3\cos \left ( \theta \right ) \right )$

$V=\frac{\pi }{3}9\sin ^{2}\theta \cdot 3\cos \left ( \theta \right )=9\pi \sin ^{2}\theta \cdot \cos \theta$

for maximum volume

$\frac{\mathrm{dv} }{\mathrm{d} \theta }=0,\; \; \; \; \frac{\mathrm{dv} }{\mathrm{d} \theta }=-9\pi \sin \left ( \theta \right )\left [ \sin ^{2}\left ( \theta \right )-2\cos ^{2} \left ( \theta \right )\right ]=0$

$\sin \left ( \theta \right )=\sqrt{\frac{2}{3}}$

$\frac{\mathrm{d}^{2}v }{\mathrm{d} \theta ^{2}}=-ve\; at\; \sin \left ( \theta \right )=\sqrt{\frac{2}{3}}$

Volume is maximum when $\sin \left ( \theta \right )=\sqrt{\frac{2}{3}}$

$\therefore V_{max}=2\sqrt{3}\pi \left ( cu.m \right )$

Example 4: If p(x) is a polynomial of degree three that has a local maximum value 8 at x=1 and a local minimum value 4 at x=2; then p(0) is equal to: [JEE Main 2020]

1) 6

2) -12

3) -24

4) 12

Solution

Since p(x) has relative extreme at x = 1 & 2

so p'(x) = 0 at x = 1 & 2

⇒ p'(x) = A(x – 1) (x – 2)

$\\\Rightarrow p(x)=\int A\left(x^{2}-3 x+2\right) d x \\ p(x)=A\left(\frac{x^{3}}{3}-3 x^{2}+2 x\right)+C\;\;\;\;\;\;\;\;\ldots(1)$

P(1) = 8

from (1)

$8=A\left(\frac{1}{3}-\frac{3}{2}+2\right)+C$

$\\\Rightarrow 8=\frac{5 \mathrm{~A}}{6}+\mathrm{C} \Rightarrow 48=5 \mathrm{~A}+5 \mathrm{C} \\ \mathrm{P}(2)=4 \\ \Rightarrow 4=\mathrm{A}\left(\frac{8}{3}-6+4\right)+\mathrm{C} \\ \Rightarrow 4=\frac{2 \mathrm{~A}}{3}+\mathrm{C} \Rightarrow 12=2 \mathrm{~A}+3 \mathrm{C} \\$

From above

C = –12 So P(0) = C = -12

Example 5: If a rectangle is inscribed in an equilateral triangle of side length $2 \sqrt{2}$ as shown in the figure, then the square of the largest area of such a rectangle is__________. [JEE Main 2021]

1) 3

2) 1

3) 4

4) 6

Key Concepts

Solution


Let height of rectangle = x

$\frac{x}{y}= \tan 60^{\circ}\Rightarrow y= \frac{x}{\sqrt{3}}$
$\therefore Length\, of\, rectangle= 2\sqrt{2}-2y= 2\sqrt{2} -\frac{2x}{\sqrt{3}}$
$Area\, o\! f\, rectangle= x\left ( 2\sqrt{2} -\frac{2x}{\sqrt{3}} \right )$
$= 2\sqrt{2}x-\frac{2}{\sqrt{3}}x^{2}$
$F\! or\, max\, area\Rightarrow 2\sqrt{2}-\frac{4}{\sqrt{3}}x= 0\left ( {f}'\left ( x \right )= 0 \right )$
$\Rightarrow x= \sqrt{\frac{3}{2}}$
$Area= 2\sqrt{2}\sqrt{\frac{3}{2}}-\frac{2}{\sqrt{3}}\, \frac{3}{2}= 2\sqrt{3}-\sqrt{3}= \sqrt{3}$
$Square\, o\! f\, Area= 3$

Summary

The Maxima and minima of a function are critical points where the function reaches its highest and lowest values within a given range. We concluded that function is a very important term in mathematics. Without this half of the mathematics is meaningless. With the concepts of maxima and minima, one can gain a deeper understanding of the behavior of functions and their mappings between different sets.


Frequently Asked Questions (FAQs)

1. What is a function?

 A relation from a set A to a set B is said to be a function from A to B if every element of set A has one and only one image in set B.

2. What point is local minima?

 If f '(x) changes sign from negative to positive as x increases through c, i.e., if f '(x) < 0 at every point sufficiently close to and to the left of c, and f '(x) > 0 at every point sufficiently close to and to the right of c, then c is a point of local minima.

3. What point is local maxima?

If f '(x) changes sign from positive to negative as x increases through c, i.e., if f '(x) > 0 at every point sufficiently close to and to the left of c, and f '(x) < 0 at every point sufficiently close to and to the right of c, then c is a point of local maxima.

4. What is tangent to curve at local maxima?

 At points of local maxima and local minima, the slope of the tangent drawn to the curve is zero.

5. What is a change in the graph of local maximum?

 For local maximum dy / dx changes from positive to negative.

6. What are maxima and minima in calculus?
Maxima and minima are the highest and lowest points, respectively, on a function's graph. They represent the extreme values of a function within a given domain. Maxima are the peak points where the function reaches its highest value locally or globally, while minima are the lowest points.
7. How do you distinguish between local and global maxima/minima?
Local maxima/minima are the highest/lowest points in a specific neighborhood of the function, while global maxima/minima are the highest/lowest points across the entire domain of the function. A function can have multiple local maxima/minima, but only one global maximum/minimum (though there can be multiple points with the same global extreme value).
8. What is the first derivative test, and how is it used to find maxima and minima?
The first derivative test uses the sign of the first derivative to determine maxima and minima. If the first derivative changes from positive to negative at a critical point, it's a local maximum. If it changes from negative to positive, it's a local minimum. If the sign doesn't change, it's neither.
9. Can you explain the second derivative test for finding maxima and minima?
The second derivative test evaluates the concavity of a function at a critical point. If the second derivative is negative at a critical point, it's a local maximum. If it's positive, it's a local minimum. If the second derivative is zero, the test is inconclusive, and you need to use other methods.
10. What are critical points, and why are they important in finding maxima and minima?
Critical points are points where the first derivative of a function is either zero or undefined. They are important because maxima and minima can only occur at critical points. However, not all critical points are necessarily maxima or minima.
11. How do you find the absolute maximum and minimum values of a continuous function on a closed interval?
To find absolute extrema on a closed interval:
12. What is the difference between stationary points and extrema?
Stationary points are points where the first derivative of a function is zero. Extrema (maxima and minima) are the highest and lowest points of a function. While all extrema are stationary points, not all stationary points are extrema. For example, a horizontal inflection point is a stationary point but not an extremum.
13. How does the concept of continuity relate to the existence of maxima and minima?
Continuity is crucial for the existence of maxima and minima. The Extreme Value Theorem states that a continuous function on a closed interval will always have both a maximum and a minimum value. However, discontinuous functions may not have well-defined extrema at points of discontinuity.
14. What is the role of inflection points in the study of maxima and minima?
Inflection points are where the concavity of a function changes. While they are not maxima or minima themselves, they often separate regions where maxima and minima can occur. Understanding inflection points helps in analyzing the overall behavior of the function and locating potential extrema.
15. How do you determine if a critical point is a maximum, minimum, or neither?
After finding a critical point, you can use the first or second derivative test. Alternatively, you can examine the function values around the critical point. If the function value at the critical point is higher than nearby points, it's a local maximum; if lower, it's a local minimum; if neither, it could be a saddle point or inflection point.
16. What is the significance of the Mean Value Theorem in relation to maxima and minima?
The Mean Value Theorem guarantees that for a continuous and differentiable function on a closed interval, there exists at least one point where the tangent to the curve is parallel to the secant line connecting the endpoints. This theorem is crucial in proving the existence of maxima and minima and in understanding the behavior of functions between extrema.
17. How do you find maxima and minima of multivariable functions?
For multivariable functions, you find critical points by setting all partial derivatives to zero or finding points where they're undefined. Then, use the second partial derivative test or examine the function's behavior around these points to determine if they are maxima, minima, or saddle points.
18. What is Fermat's theorem, and how does it relate to finding extrema?
Fermat's theorem states that if a function has a local extremum at a point and is differentiable there, then its derivative at that point must be zero. This theorem provides a necessary (but not sufficient) condition for finding extrema, forming the basis for identifying critical points.
19. How do constraints affect the process of finding maxima and minima?
When dealing with constrained optimization problems, we use techniques like Lagrange multipliers. Constraints limit the domain of the function, potentially creating extrema at points that wouldn't be extrema in the unconstrained case, or at points where the constraint intersects the original function.
20. What is the relationship between concavity and the nature of extrema?
Concavity helps determine the nature of extrema. In a concave up region, any stationary point will be a local minimum. In a concave down region, any stationary point will be a local maximum. The points where concavity changes (inflection points) often separate regions where different types of extrema can occur.
21. How do you interpret maxima and minima graphically?
Graphically, maxima appear as peaks or high points on the graph, while minima appear as valleys or low points. Local extrema create "hills" and "valleys" in their immediate vicinity, while global extrema are the highest peak and lowest valley across the entire graph.
22. What is the role of asymptotes in determining maxima and minima?
Asymptotes can indicate the behavior of a function as it approaches infinity, which is crucial for understanding global extrema. Horizontal asymptotes, for instance, can represent limits that the function approaches but never reaches, potentially indicating the absence of a global maximum or minimum in that direction.
23. How do you find maxima and minima of implicit functions?
For implicit functions, you typically use implicit differentiation to find the derivative, then set it to zero to find critical points. The process then involves solving the resulting equation along with the original implicit equation to find the coordinates of potential extrema.
24. What is the importance of endpoints in finding maxima and minima on a closed interval?
Endpoints are crucial because extrema can occur at these points even if they're not critical points. When finding absolute extrema on a closed interval, you must always evaluate the function at the endpoints and compare these values with those at interior critical points.
25. How do you determine if a function has no maximum or minimum?
A function may have no maximum or minimum if:
26. What is the relationship between zeros of the derivative and extrema of the original function?
Zeros of the derivative function correspond to horizontal tangent lines on the original function. These points are potential extrema (maxima or minima) of the original function. However, not all zeros of the derivative result in extrema; they could also be inflection points or saddle points.
27. How do you find maxima and minima of piecewise functions?
For piecewise functions:
28. What is the role of symmetry in identifying maxima and minima?
Symmetry can simplify the process of finding extrema:
29. How do transformations of functions affect their maxima and minima?
Transformations affect extrema as follows:
30. What is the significance of the Intermediate Value Theorem in relation to extrema?
The Intermediate Value Theorem states that a continuous function takes on all values between any two of its function values. This theorem is crucial for proving the existence of extrema and helps in understanding that between a maximum and minimum, a continuous function must take on all intermediate values.
31. How do you find maxima and minima of parametric functions?
For parametric functions:
32. What is the connection between optimization problems and finding maxima/minima?
Optimization problems involve finding the best (maximum or minimum) value of a function under given constraints. Solving these problems often requires finding extrema of functions. The techniques used for finding maxima and minima (derivatives, critical points) are directly applied in solving optimization problems in various fields.
33. How do you determine if a critical point is a saddle point rather than a maximum or minimum?
A saddle point is a critical point that is neither a maximum nor a minimum. To identify a saddle point:
34. What is the role of the Hessian matrix in finding maxima and minima of multivariable functions?
The Hessian matrix, composed of second partial derivatives, is used in the second derivative test for multivariable functions. For a two-variable function:
35. How do you find maxima and minima of functions defined on discrete sets?
For functions on discrete sets:
36. What is the relationship between the graph of a function and its first derivative in terms of maxima and minima?
The graph of the first derivative provides valuable information about the original function's extrema:
37. How do you find maxima and minima of trigonometric functions?
For trigonometric functions:
38. What is the economic interpretation of maxima and minima in business applications?
In economics and business:
39. How do you determine if a function has a unique global maximum or minimum?
A function has a unique global maximum/minimum if:
40. What is the role of inflection points in locating maxima and minima?
Inflection points are crucial because:
41. How do you find maxima and minima of rational functions?
For rational functions:
42. What is the significance of the Extreme Value Theorem in calculus?
The Extreme Value Theorem states that a continuous function on a closed interval [a,b] always attains its maximum and minimum values. This theorem:
43. How do you interpret the concept of local linearity in relation to extrema?
Local linearity refers to the fact that a differentiable function looks linear when zoomed in sufficiently at any point. At extrema:
44. What are some common mistakes students make when finding maxima and minima?
Common mistakes include:
45. How do you find maxima and minima of exponential and logarithmic functions?
For exponential and logarithmic functions:
46. What is the connection between convexity/concavity and the nature of extrema?
Convexity and concavity are closely related to extrema:
47. How do you approach finding maxima and minima in optimization problems with constraints?
For constrained optimization:
48. What is the role of continuity in guaranteeing the existence of maxima and minima?
Continuity is crucial for the existence of extrema because:

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