Local and Absolute Maxima and Minima
Distinguish local behavior from extrema over an entire domain.
The bigger question: What does a function tell us—and what can it hide?
On this page
Idea
A local extremum compares nearby inputs; an absolute extremum compares the whole stated domain. Domain endpoints and whether they are included can determine whether a largest or smallest value exists.
Method
An absolute minimum at satisfies for every allowed . A local minimum needs this only in a neighborhood of within the domain. Maximum reverses the inequality.
Worked example
For on , the absolute minimum is at . Endpoint values are and , so the absolute maximum is at . On the open interval , values approach but never attain it, so no absolute maximum exists.
Common mistake
A bound need not be attained. The words “maximum” and “minimum” require actual inputs that produce those values.
Check your understanding
Find the absolute extrema of on .
Show answer
Minimum at ; maximum at .
Explore
Try this. Change one slider at a time. Positive h moves the vertex right; k moves it up; negative a reflects the curve and a = 0 makes it constant.
Try it yourself.
Choose an answer and explain your reasoning to yourself. Use a hint if you get stuck.
Hint 1 · Find a starting point
Compare all possible endpoint and turning-point values.
Hint 2 · Take the next step
The values at −1, 0 and 2 are 1, 0 and 4.
Show the reasoning
Answer: x=2
The largest attained value is 4 at x=2; x=0 is the minimum.
Before moving on: what would make one of the other answers wrong? Saying why is part of understanding.
Pause before the next idea.
Can you explain how the visualization connects to this lesson’s goal? If a step still feels uncertain, put this lesson on your review list and try the check again another day.