Absolute and Local Extrema
Why Do We Care About Maximum and Minimum Values?
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.
Prerequisite Map
Quick Reference
| Property | Value |
|---|---|
| Section | Stewart §3.1 |
| Course | MATH161 |
| Difficulty | Beginner |
| Time | ~15 minutes |
Key Concepts
Absolute (Global) Extrema
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:
- absolute maximum value of $f$ on $D$ if $f(c) \geq f(x)$ for all $x$ in $D$
- absolute minimum value of $f$ on $D$ if $f(c) \leq f(x)$ for all $x$ in $D$
Together, absolute maximum and minimum values are called extreme values of $f$.
Local (Relative) Extrema
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:
- local maximum value of $f$ if $f(c) \geq f(x)$ when $x$ is near $c$
- local minimum value of $f$ if $f(c) \leq f(x)$ when $x$ is near $c$
“Near $c$” means on some open interval containing $c$.
Visual Comparison
f(x)
│ ★ absolute max
│ /\
│ / \ ○ local max
│ / \ /\
│ / \/ \
│ / local \
│/ min ● \
└────────────────────── x
absolute min ●
Key Distinction
| 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.
Examples from Standard Functions
| 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 |
an absolute maximum must also be a local maximum.
This is the concept-image-conflicts-definition error. A local maximum requires an open interval around the point where the function is largest. Endpoints of a closed domain cannot be local maxima because there is no open interval around them that stays within the domain. For $f(x) = x^2$ on $[-1, 2]$: the absolute maximum is $f(2) = 4$, occurring at the right endpoint. But $x = 2$ is NOT a local maximum because there is no open interval around $x = 2$ within $[-1, 2]$ where $f(2)$ is the largest value -- points just to the left of $2$ give smaller values, but there are no points to the right. Endpoints can be absolute extrema without being local extrema.
the maximum is the x-value where the function is largest.
This is the input-output-confusion error. The maximum VALUE of a function is the largest OUTPUT. The x-value where it occurs is the input. For $f(x) = -x^2 + 4$ on $[-2, 2]$: the maximum value is $f(0) = 4$ (the output); it occurs at $x = 0$ (the input). Saying “the maximum is $x = 0$” confuses the location with the value. A complete answer names both: “the maximum value is $4$, occurring at $x = 0$.”
Practice Problems
For the function $f(x) = x^2$ with domain $[-2, 3]$:
- What is the absolute maximum value and where does it occur?
- What is the absolute minimum value and where does it occur?
- Are there any local extrema? If so, identify them.
A continuous function $f$ is defined on $[0, 6]$ with the following values:
- $f(0) = 2$
- $f(1) = 5$ (local maximum)
- $f(2) = 3$
- $f(4) = 1$ (local minimum)
- $f(6) = 4$
Identify:
- The absolute maximum value and where it occurs
- The absolute minimum value and where it occurs
- All local maximum values
- All local minimum values
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.
- $[1, 4]$
- $(1, 4)$
- $[1, \infty)$
Let $f(x) = \begin{cases} x^2 & \text{if } -2 \leq x \leq 0 \\ 3 - 2x & \text{if } 0 < x \leq 2 \end{cases}$
- Is $f$ continuous on $[-2, 2]$?
- Find all local and absolute extrema of $f$ on $[-2, 2]$.
- Sketch a continuous function on $[0, 4]$ that has an absolute maximum at $x = 2$ but no local maximum at $x = 2$. Is this possible? Explain.
- Give an example of a function on $[0, 2]$ that has a local maximum at $x = 1$ but no absolute maximum on the entire interval. What must be true about this function?
- Prove that if $f$ is continuous on a closed interval $[a, b]$ and has a local maximum at an interior point $c$, then $f(c)$ is not necessarily the absolute maximum. Construct a specific counterexample.
Mastery Checklist
Mental Model
The Mountain Range Analogy:
Think of a function’s graph as a hiking trail through mountains:
- Local maxima are hilltops, the highest points in your immediate surroundings
- Local minima are valley floors, the lowest points nearby
- Absolute maximum is the summit of the tallest mountain in the entire range
- Absolute minimum is the lowest point you can reach anywhere on the trail
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.
Connections
Looking back:
- Understanding function graphs lets you visually identify peaks and valleys
- Domain and range determines where extrema can occur
Looking ahead:
- The Extreme Value Theorem guarantees when absolute extrema exist
- Critical numbers tell us where to look for local extrema
| Previous | Up | Next |
|---|---|---|
| Ch 2 Skills | Section Index | Extreme Value Theorem |
Last updated: 2026-01-22