The highest point of a mountain range and the top of a small hill on its slope are both peaks, but in different senses. One beats every other point. The other only beats the points near it. Calculus keeps these two ideas apart and asks where such peaks and valleys can hide on the graph of a function.
Key terms
Global maxima and minima
Definition Let have domain and let be in . Then has a global (or absolute) maximum at if for every in , and a global (or absolute) minimum at if for every in .
In plain words A global maximum is the highest point of the whole graph and a global minimum is the lowest. A function may have neither.
Example For on , the global maximum is and the global minimum is . On the same formula has the global minimum and no global maximum.
Local maxima and minima
Definition Let have domain and let be in . Then has a local (or relative) maximum at if there is a such that for every in with . A local minimum is defined the same way with . Some books also require an open interval around to lie inside , which rules out local extrema at endpoints. Here endpoints are allowed.
In plain words A local maximum only has to beat its neighbors. Every global maximum is also a local one, but not the other way around.
Example For on , is a local maximum and is a local minimum. Neither is global, since and .
Extreme values
Definition A maximum or minimum value of , global or local, is called an extreme value or extremum (plural extrema). The extreme value is the number , and is a point where it is attained. A global maximum value, when it exists, is unique, but it may be attained at many points.
In plain words Keep the value and the location apart. “The maximum is 1” names a height, while “the maximum occurs at ” names a place.
Example On , has global maximum value , attained at every with an integer, and global minimum value .
Domain points and endpoints
Definition A point of the domain is an interior point if some open interval with lies inside . For a domain that is an interval, an endpoint is a point of at the end of the interval, such as or in . An endpoint is not an interior point.
In plain words At an interior point you can step a little left and a little right and stay in the domain. At an endpoint you can only go one way.
Example For with domain , the point is an endpoint and every is an interior point. The global minimum of is at the endpoint , where the graph simply starts.
Extrema at endpoints
Definition An extreme value may occur at an endpoint of the domain, and there the derivative of (or its one-sided derivative) need not be . Endpoints must therefore always be checked as separate candidates.
In plain words A graph can reach its highest point simply because the domain ends there, while still climbing.
Example For on , the minimum is at and the maximum is at . The derivative is everywhere, never .
Critical points
Definition A critical point (or critical number) of is an interior point of the domain such that either or does not exist.
In plain words These are the interior places where the graph is flat or where it has a corner, cusp or vertical tangent. As the next lesson proves, an interior local extremum can occur only at a critical point.
Example For the derivative is zero at and , and these are the critical points. For , the derivative does not exist at , so is a critical point.
Stationary and singular points
Definition A critical point is a stationary point if , and a singular point if is not differentiable at .
In plain words At a stationary point the tangent line is horizontal. At a singular point there is no tangent slope at all. Either kind may or may not be an extremum.
Example For the derivative is for , and does not exist, so is a singular point. It is a minimum, since for every . For the point is stationary, yet has no extremum there because for and for .
Extrema on open intervals
Definition A function defined on an open interval need not have a global maximum or minimum, even if it is continuous and bounded. If it does have a global extremum on , that point is an interior point, so by Fermat’s theorem in the next lesson it is a critical point.
In plain words On an open interval the function can get closer and closer to a value without ever reaching it, because the point that would reach it has been left out.
Example On , has global minimum at the critical point . It has no global maximum, since its values approach as but is not in the domain. On , has neither a maximum nor a minimum.
Check yourself
- Find all critical points of .
Show the answer
The derivative is , which exists everywhere and is zero at , and . These are all stationary points.
- Find the global maximum and minimum of on , and say whether each occurs at an endpoint, a stationary point or a singular point.
Show the answer
The minimum is at , a singular point. The maximum is at the endpoint , since .
- Does have a global maximum on ? A global minimum?
Show the answer
The global maximum is at , because . There is no global minimum, since the values approach as but are always positive.