Courses
Courses for Kids
Free study material
Offline Centres
More
Store Icon
Store

Maxima and Minima of Functions Explained with Concepts

Reviewed by:
ffImage
hightlight icon
highlight icon
highlight icon
share icon
copy icon

How to Find Local and Global Maxima and Minima Using Derivatives

Maxima and minima of a function are the largest and smallest value of the function respectively either within a given range or on the entire domain. Collectively they are also known as extrema of the function. The maxima and minima are the respective plurals of maximum and minimum of a function. Before understanding maxima and minima in detail, let’s understand the local maximum and minimum value of the function first.


Local Maximum and Minimum

For finding maximum and minimum of a function, first we need to choose an interval.


(Image will be uploaded soon)


Local maximum and minimum are shown in the above graph. Let’s understand one by one in detail.


Local Maximum:

(Image will be uploaded soon)


In the above graph f(x) is a function. Interval is shown around the point a. We can say that a local maximum is a point where the height of the function at point "a" is greater than (or equal to) the height anywhere else in that interval.

Briefly, we can write 

  • f(a) ≥ f(x) for all x in the interval.

In other words, we can say that there is no height greater than f(a).

Always keep in mind that a should be inside the interval, not at one end or the other.


Local Minimum:

It is similar to a local minimum, the only difference here is function value at point “a” in the interval is less than (or equal to) the height anywhere in that interval.

Briefly, we can write:

  • f(a) ≤ f(x) for all x in the interval.

Global (or Absolute) Maximum and Minimum:

(Image will be uploaded soon)

  • The maximum or minimum over the entire domain of the function is called an "Absolute" or "Global" maximum or minimum.

  • There is only one global maximum (and one global minimum) but there can be more than one local maximum or minimum of a function.

Finding Maxima and Minima Using Derivatives

Maxima and minima are found by using the concept of derivatives. As we know the concept of derivatives gives us the information regarding the gradient or slope of the function, we locate the points where the gradient is zero and these points are called turning points or stationary points. These are points associated with the largest or smallest values (locally) of the function.


How to Calculate Maxima and Minima Points?

Let’s understand this with an example.


(Image will be uploaded soon)


From the above figure, we can see before the slope becomes zero it is negative after it gets zero and again it becomes positive. It can be said dy/dx is -ve before stationary point dy/dx is +ve after a stationary point. Hence it can be said d2y/dx2 is positive at the stationary point shown. Therefore we can say that wherever the double derivative is positive it is the point of minima. Vice versa we can also say wherever the double derivative is negative it is the point of maxima on the curve. This is also called the second derivative test.


Derivative Tests:

To find the maxima and minima of any function we use the derivative test. Generally, first-order derivative and second-order derivative tests are used. Let us have a look in detail.


First Order Derivative Test:

Consider f be the function defined in an open interval I. Also, f be continuous at critical point c in I such that f’(c) = 0.

  • If f’(x) changes sign from positive to negative as x increases through point c, then c is the point of local maxima, and f(c) is the maximum value.

  • If f’(x) changes sign from negative to positive as x increases through point c, then c is the point of local minima, and f(c) is the minimum value.

  • If f’(x) doesn’t change sign as x increases through c, then c is neither a point of local minima nor a point of local maxima. 

Second Derivative Test:

Consider f be the function defined on an interval I and it is twice differentiable at c.

  • If  x = c will be the point of local maxima if f'(c) = 0 and f”(c)<0. Then f(c) will be having local maximum value.

  • If x = c will be the point of local minima if f'(c = 0 and f”(c) < 0. Then f(c) will be having local minimum value.

  • When both f'(c) = 0 and f”(c) = 0 the test fails. And that first derivative test will give us the value of local maxima and minima.

Properties of maxima and minima are as follow :

  • If f(x) is a continuous function in its domain, then at least one maximum or one minimum should lie between equal values of f(x).

  • Maxima and minima occur alternately. i.e between two maxima there is one minima and vice versa.

  • If f(x) tends to infinity as x tends to a or b and f’(x) = 0 only for one value x i.e.c between a and b, then f(c) is the minimum and the least value. If f(x) tends to – ∞ as x tends to a or b, then f(c) is the maximum and the highest value.

How to Find Maxima Functions?

To find the maxima of a function, we need to find a derivative of a function f(x) and find the critical numbers. Then, find the second derivative of a function f(x) and put the critical numbers. If the value is negative, the function has relative maxima at that point, if the value is positive, the function has relative maxima at that point.

FAQs on Maxima and Minima of Functions Explained with Concepts

1. What are maxima and minima of a function?

The maxima and minima of a function are the points where the function reaches its highest or lowest values within a given interval. In calculus, these are also called extreme values.

  • A maximum is a point where the function value is greater than nearby values.
  • A minimum is a point where the function value is smaller than nearby values.
  • They can be local (relative) or global (absolute) depending on the interval considered.
These concepts are fundamental in differential calculus and optimization problems.

2. How do you find maxima and minima using derivatives?

To find maxima and minima using derivatives, set the first derivative equal to zero and analyze the critical points. The steps are:

  • Compute the first derivative f′(x).
  • Solve f′(x) = 0 to find critical points.
  • Use the first derivative test or second derivative test to classify each point.
For example, if f(x) = x² − 4x, then f′(x) = 2x − 4. Solving 2x − 4 = 0 gives x = 2, which is a minimum point.

3. What is the first derivative test for maxima and minima?

The first derivative test determines maxima and minima by checking sign changes of f′(x) around a critical point. The rule is:

  • If f′(x) changes from positive to negative, the point is a local maximum.
  • If f′(x) changes from negative to positive, the point is a local minimum.
  • If there is no sign change, it is neither.
This method helps identify increasing and decreasing intervals of a function.

4. What is the second derivative test?

The second derivative test classifies a critical point using the value of f″(x). If f′(a) = 0, then:

  • If f″(a) > 0, the point is a local minimum.
  • If f″(a) < 0, the point is a local maximum.
  • If f″(a) = 0, the test is inconclusive.
This test is based on the concavity of the function.

5. What are critical points in maxima and minima?

A critical point is a point where the first derivative is zero or undefined. Mathematically, it occurs when:

  • f′(x) = 0, or
  • f′(x) does not exist.
Critical points are candidates for local maxima, local minima, or saddle points in a function.

6. What is the difference between local and global maxima and minima?

The difference between local and global extrema lies in the interval considered.

  • A local maximum or minimum is highest or lowest compared to nearby points.
  • A global (absolute) maximum or minimum is the highest or lowest value on the entire domain.
For example, in a closed interval, endpoints can also be global extrema.

7. Can you give an example of finding maxima and minima?

Yes, for f(x) = x³ − 3x² + 2, the maxima and minima can be found using derivatives.

  • First derivative: f′(x) = 3x² − 6x.
  • Set f′(x) = 0 → 3x(x − 2) = 0 → x = 0, 2.
  • Second derivative: f″(x) = 6x − 6.
  • f″(0) = −6 < 0 → local maximum at x = 0.
  • f″(2) = 6 > 0 → local minimum at x = 2.
This is a standard example in differential calculus.

8. Why do we set the first derivative equal to zero?

We set the first derivative equal to zero because extrema occur where the slope of the tangent is zero. At maxima or minima:

  • The function changes direction.
  • The tangent line is horizontal.
  • So f′(x) = 0 gives possible extreme points.
This comes from the geometric meaning of the derivative as the rate of change.

9. What are saddle points in maxima and minima?

A saddle point is a critical point where f′(x) = 0 but the function has neither a maximum nor a minimum. At a saddle point:

  • The first derivative is zero.
  • The function does not change from increasing to decreasing or vice versa.
  • Often f″(x) = 0 and changes sign.
For example, f(x) = x³ has a saddle point at x = 0.

10. What are real-life applications of maxima and minima?

Maxima and minima are used in optimization problems to find the best possible solution under given conditions. Common applications include:

  • Maximizing profit or minimizing cost in business.
  • Finding maximum area or volume in geometry.
  • Minimizing distance or time in physics.
These applications rely on differential calculus and derivative-based optimization techniques.