CBSE Class 12 » CBSE Class 12 Study Materials » Mathematics » Applications of Maxima and Minima

Applications of Maxima and Minima

Here we discuss the concept, applications, and derivatives of maxima and minima in detail.

The extrema of a function are its maximum & minimum values. The highest and lowest values of a function within a particular set of ranges are known as maxima and minima. The most significant value of the function under the whole range is known as the absolute maxima, while the most negligible value is known as the absolute minima.

What is the difference between a function’s maxima and minima?

The peaks and valleys in a function’s curve are called maxima and minima. Any number of maxima and minima can exist in a function. In calculus, we can find any function’s highest and lowest values without even looking at the graph. Maxima will be the highest peak on the curve within the given range, while minima will be the lowest. Extrema is the result of combining maxima and minima.

In a function, there are two sorts of maxima and minima, namely:

  • local maxima and minima
  • absolute maxima and minima

Local maxima and minima

The maxima and minima occurring in a specific interval are local maxima and minima. The point in an interval where the values ‘near’ that point are less than the value ‘at’ that point is the local maxima. Local minima is that point in an interval where the value ‘near’ is greater than that at the point.

Absolute maxima and minima

The absolute maximum is the point of the greatest possible value of the function. In contrast, the absolute minimum of the function is the point where it achieves its lowest possible value. Over the whole domain, there can only be one absolute maximum and one absolute minimum of a function. The absolute maxima and minima of a function are also known as the function’s global maxima and minima.

Derivative tests

The derivative test can be used to find the maxima and minima of any function. In most cases, first and second-order derivative tests are used.

Maxima and minima properties

  1. If f(x) is a continuous function in its domain, there should be at least one maximum and one minimum between equal values of f(x).
  2. The maxima and minima alternate; there is one maximum between two minima and vice versa.
  3. If f(x) goes to infinity as x approaches a or b, and if (x) = 0 only for one value x, i.e., c between a and b, then f(c) is the most minuscule and almost negligible value. If f(x) goes to infinity as x tends to a or b, the maximum and highest value is f(c).

Application of maxima and minima

The area of a rectangular lot, for example, could be determined based on the cost of fencing and the property’s length and width. As a result, A = f(x) can express the area. The most common issue is to figure out what value of x will result in the highest value of A. We set dA/dx = 0 to find this value.

Solving maxima and minima Problems: 

A step-by-step guide to

  • determine a constant, such as the cost of a fence.
  • Choose a variable to maximize or decrease, such as area A.
  • Using the formula A = f(x, y), express this variable in the other relevant variable(s).
  • If the function has more than one variable, express it in terms of one variable (if possible and practicable) using the problem’s constraints, such as A = f(x), dA/dx = 0.

Application of derivatives of maxima and minima

Mathematicians seek maxima and minima values. Maxima and minima can be determined using the first derivative test and the second derivative test. In this article, the first derivative test would be used to find maxima and minima.

  • Every monotonic function assures that its maximum and minimum values are inside the scope of the function’s endpoints.
  • Each continuous function does have a maximum and minimum value on a bounded interval.
  • Let f be a function on a length I unbounded interval. Assume cell is a single digit if(c) = 0 

if f exhibits local maxima or minima at x=c.

  • A point c inside the domain of a function f where either f'(c) = 0 or f is not differentiable is known as a function of f.
  •  c could be a local minima point if the sign of f'(x) changes from negative to positive as x increases through c.
  • c is neither a local maximum nor a local minimum extent if the sign of f'(x) does not change as x increases through c. This is known as some degree of inflection.
  • Suppose that f(x) is a function defined on the intervals I and c I in the second derivative test. Let f be a two-time differentiable function at point c. So,

x=c is a site for the local maxima when f'(c) = 0 and f”(c) = 0.

  • If f'(c) = 0 and f”(c) > 0, x = c is a local minima point.

The test will fail if both f'(c) and f”(c) are 0.

Conclusion

 Maxima and minima are crucial notions in the calculus of variations, which aids in the discovery of a function’s extreme values. You can use the first derivative approach or the second derivative method to get these two possible values.

There are a variety of situations in which it is necessary to determine the maximum or minimum value of a quantity; economics, business, and engineering are a few examples of such applications. Many of them can be solved using the differential calculus methods outlined above.