Candidates Test for Absolute Extrema
When a function is continuous on a closed interval, the Extreme Value Theorem promises an absolute maximum and an absolute minimum. The candidates test (also called the closed interval method) is how you find them: make a short list of every place they could be, evaluate the function at each one, and pick the biggest and smallest. No sign charts needed.
Key ideas
Section titled “Key ideas”Where can an absolute extremum be?
Section titled “Where can an absolute extremum be?”On a closed interval , an absolute maximum or minimum can only happen at:
- a critical point inside the interval (where or doesn’t exist), or
- an endpoint, or .
Anywhere else, the graph is going up or down, so a nearby point is higher and another is lower.
The candidates test
Section titled “The candidates test”For continuous on :
- Check the hypothesis: is continuous on the closed interval , so the EVT says absolute extrema exist.
- Find the critical points of and keep only those inside .
- Evaluate at each critical point and at both endpoints. A table works well.
- The largest value is the absolute maximum; the smallest is the absolute minimum.
If two candidates tie for the largest value, the absolute maximum happens at both -values (and the same for the minimum).
Writing the answer
Section titled “Writing the answer”AP questions often say “find the absolute maximum value of on . Justify your answer.” A complete answer shows the table of candidates and a conclusion sentence such as “The absolute maximum value of on is , at .” The table itself is the justification.
When the interval isn’t closed
Section titled “When the interval isn’t closed”The candidates test needs a closed interval. On an open interval or the whole real line, use the first derivative test instead. A handy fact for optimization: if a continuous function has only one critical point on an interval, and it’s a relative maximum, then it’s the absolute maximum on that interval (and the same for a minimum).
Worked examples
Section titled “Worked examples”Example 1: One critical point
Section titled “Example 1: One critical point”Find the absolute extrema of on .
Solution. is a polynomial, so it’s continuous on .
gives , which is in .
| (endpoint) | (critical point) | (endpoint) | |
|---|---|---|---|
The absolute maximum is , at . The absolute minimum is , at .
Example 2: A tie
Section titled “Example 2: A tie”Find the absolute extrema of on .
Solution. is continuous on .
Critical points: and , both in .
The absolute maximum is , at . The absolute minimum is , at both and .
Example 3: A trig function (radians)
Section titled “Example 3: A trig function (radians)”Find the absolute extrema of on .
Solution. is continuous on . Remember: is in radians.
gives . In , that’s only .
The absolute maximum is , at . The absolute minimum is , at .
Example 4: A critical point where f′ is undefined
Section titled “Example 4: A critical point where f′ is undefined”Find the absolute extrema of on .
Solution. is continuous everywhere (cube roots are defined for negative numbers too). From critical points and extrema, , so the critical points are (undefined) and (zero). Both are in .
For : . For : .
The absolute maximum is , at (the cusp). The absolute minimum is , at .
Common mistakes
Section titled “Common mistakes”Forgetting the endpoints. In Example 1, the absolute maximum is at an endpoint. If you only check critical points, you’ll miss it.
Including critical points outside the interval. For on , the critical point isn’t in the interval, so it isn’t a candidate.
Missing critical points where f′ is undefined. In Example 4, the absolute maximum is at , where doesn’t exist. Always check the denominator of .
Answering with the wrong thing. “Absolute maximum value” means the -value (). “Where” or “at what ” means the -value (). Give both when you’re not sure.
Using the test on an interval where f isn’t continuous. For on , the function blows up at and has no absolute maximum or minimum. Check continuity first.
Arithmetic slips with negatives. Write out each substitution, especially powers of negative numbers. , but .
Practice
Section titled “Practice”1. (Warm-up) Find the absolute extrema of on .
Solution
gives .
Absolute maximum at ; absolute minimum at .
2. (Warm-up) Find the absolute extrema of on .
Solution
, which is never , so there are no critical points. Only the endpoints are candidates: and .
Absolute maximum at ; absolute minimum at .
3. (Core) Find the absolute extrema of on .
Solution
Critical points: and , both in .
Absolute maximum at ; absolute minimum at .
4. (Core) Find the absolute extrema of on . Give decimals to three places.
Solution
gives .
Absolute maximum at ; absolute minimum at .
5. (Core) Find the absolute extrema of on (radians).
Solution
gives : or , both in .
Absolute maximum at ; absolute minimum at .
6. (Core) Find the absolute extrema of on . Give decimals to three places.
Solution
. Critical points: (where ) and (where is undefined). Only and are in .
Absolute maximum at ; absolute minimum at .
7. (Core) Find the absolute extrema of on .
Solution
when , so , which is in .
Absolute maximum at ; absolute minimum at .
8. (Challenge) Find the absolute extrema of on .
Solution
Critical points: , , . Only and are in .
Absolute maximum at ; absolute minimum at .
9. (Challenge) A drone flies straight up and down. Its vertical velocity is m/s for seconds. Find its greatest and least velocity during this time, and when they happen.
Solution
is a polynomial, so it’s continuous on .
Critical points: and .
| (s) | ||||
|---|---|---|---|---|
| (m/s) |
The greatest velocity is m/s, at both s and s. The least velocity is m/s, at .