extremum

mathematics
verifiedCite
While every effort has been made to follow citation style rules, there may be some discrepancies. Please refer to the appropriate style manual or other sources if you have any questions.
Select Citation Style
Share
Share to social media
URL
https://mainten.top/science/extremum
Feedback
Corrections? Updates? Omissions? Let us know if you have suggestions to improve this article (requires login).
Thank you for your feedback

Our editors will review what you’ve submitted and determine whether to revise the article.

Also known as: extrema
Plural:
Extrema
Related Topics:
function
maximum
minimum

extremum, in calculus, any point at which the value of a function is largest (a maximum) or smallest (a minimum). There are both absolute and relative (or local) maxima and minima. At a relative maximum the value of the function is larger than its value at immediately adjacent points, while at an absolute maximum the value of the function is larger than its value at any other point in the interval of interest. At relative maxima inside the interval, if the function is smooth rather than peaked, its rate of change, or derivative, is zero. The derivative may be zero, however, at a point where the function has neither a maximum nor a minimum, as in the case for the function x3 at x = 0. One way to determine this is by going back to the original definition and finding the value of the function at immediately adjacent points. For example, the function x3 - 3x has the derivative 3x2 - 3, which equals 0 when x is ±1. By testing nearby points, such as 0.9 and 1.1, the function is seen to have a relative minimum when x is 1 and, similarly, a relative maximum when x is -1. There is also a second-derivative test: if the derivative of a function is zero at a point, then the function will have a relative maximum or minimum if the second derivative at that point is less than or greater than 0, respectively, the test failing if it equals 0. Relative maxima can also occur at points at which the derivative fails to exist, and these points must also be tested.

The theory of extrema applies to practical problems of optimization, such as finding the dimensions for a container that will hold the maximum volume for a given amount of material used in its construction. Locating the extreme points also aids in graphing functions.