Every optimization problem—from minimizing manufacturing costs to maximizing profit, from finding the fastest route to designing the strongest beam—comes down to finding where a function reaches its highest or lowest values. Before we can solve these problems, we need precise language to describe what kind of high or low point we're looking at.
Consider hiking in the mountains. The summit of a local hill might be the highest point in your immediate area, but it's not necessarily the highest point in the entire mountain range. Similarly, a function can have peaks and valleys at different scales, and distinguishing between them is essential for understanding the function's behavior.
| Property | Value |
|---|---|
| Section | Stewart §3.1 |
| Course | MATH161 |
| Difficulty | Beginner |
| Time | ~15 minutes |
An absolute maximum (or global maximum) is the largest value a function attains on its entire domain. An absolute minimum (or global minimum) is the smallest value.
Definition: Let $c$ be a number in the domain $D$ of a function $f$. Then $f(c)$ is the:
Together, absolute maximum and minimum values are called extreme values of $f$.
A local maximum is the largest value in some neighborhood around a point. A local minimum is the smallest value nearby.
Definition: The number $f(c)$ is a:
"Near $c$" means on some open interval containing $c$.
f(x)
│ ★ absolute max
│ /\
│ / \ ○ local max
│ / \ /\
│ / \/ \
│ / local \
│/ min ● \
└────────────────────── x
absolute min ●
| Type | Comparison Set | Can Occur at Endpoints? |
|---|---|---|
| Absolute extremum | Entire domain | Yes |
| Local extremum | Open interval around the point | No (requires open interval) |
Important: An absolute extremum can also be a local extremum, but not always. If the absolute max or min occurs at an endpoint, it is NOT a local extremum because endpoints don't have open intervals around them within the domain.
| Function | Domain | Absolute Max | Absolute Min | Local Extrema |
|---|---|---|---|---|
| $f(x) = x^2$ | $\mathbb{R}$ | None | $f(0) = 0$ | Local min at 0 |
| $f(x) = x^3$ | $\mathbb{R}$ | None | None | None |
| $f(x) = \cos x$ | $\mathbb{R}$ | $1$ (at $x = 2n\pi$) | $-1$ (at $x = (2n+1)\pi$) | Infinitely many |
| $f(x) = x^2$ on $[-1, 2]$ | $[-1, 2]$ | $f(2) = 4$ | $f(0) = 0$ | Local min at 0 |
For the function $f(x) = x^2$ with domain $[-2, 3]$:
A continuous function $f$ is defined on $[0, 6]$ with the following values:
Identify:
Consider $f(x) = \dfrac{1}{x}$ on each of the following domains. For each, determine whether absolute maximum and minimum values exist, and if so, find them.
Let $f(x) = \begin{cases} x^2 & \text{if } -2 \leq x \leq 0 \\ 3 - 2x & \text{if } 0 < x \leq 2 \end{cases}$
The Mountain Range Analogy:
Think of a function's graph as a hiking trail through mountains:
Just as a hilltop might not be the highest peak in the range, a local maximum might not be the absolute maximum. And just as you can't stand on the "highest point" of an infinite plain (there isn't one), some functions on unbounded domains have no absolute extrema.
Looking back:
Looking ahead:
| Previous | Up | Next |
|---|---|---|
| Ch 2 Skills | Section Index | Extreme Value Theorem |
Last updated: 2026-01-22