Maximum and Minimum Values
Local versus absolute extreme values, why critical points are only candidates, and the procedure for finding absolute extremes on a closed interval by checking critical points and both endpoints.
Local versus absolute extreme values, why critical points are only candidates, and the procedure for finding absolute extremes on a closed interval by checking critical points and both endpoints.
Asking for the largest value a function reaches has two different answers depending on where you look. A peak may be the highest point in its neighbourhood while another peak elsewhere is higher still. That distinction — local against absolute extreme values — is the subject of this lesson.
Every absolute extremum is also a local one; the reverse is not true. A hill is a hill whether or not a taller mountain stands further along.
At a peak the function stops rising and has not yet begun to fall; at a valley the reverse. In both cases the instantaneous rate of change is momentarily zero, and the tangent is horizontal. Points where — or where the derivative does not exist — are called critical points.
Critical points are candidates, not guarantees. The derivative of is zero at the origin, yet the curve keeps rising straight through — that is an inflection point, not an extremum.
A continuous function on a closed interval always attains both an absolute maximum and an absolute minimum. To find them:
The endpoints must be checked. A function can reach its highest value at the very edge of the interval, where no derivative test would ever flag it.
Find the absolute extreme values of on
.
The absolute maximum sits at an endpoint, not at either critical point. Skipping step 3 would have given the wrong answer of 2.
Look at the sign of the derivative on either side of a critical point: