Candidates test for absolute extrema — AP Calculus AB Study Guide
For: AP Calculus AB candidates sitting AP Calculus AB.
Covers: Identification of critical points, endpoints, and candidate points; the step-by-step candidate test procedure for closed, open, and infinite intervals; classification of candidates as absolute maxima or minima for continuous and discontinuous functions.
You should already know: How to compute derivatives using all basic differentiation rules. How to find critical points of a function. The definition of absolute maximum and absolute minimum on an interval.
A note on the practice questions: All worked questions in the "Practice Questions" section below are original problems written by us in the AP Calculus AB style for educational use. They are not reproductions of past College Board / Cambridge / IB papers and may differ in wording, numerical values, or context. Use them to practise the technique; cross-check with official mark schemes for grading conventions.
1. What Is Candidates test for absolute extrema?
The Candidates Test (also called the Extreme Value Candidates Test or Closed Interval Method) is the standard algorithm for finding the absolute maximum and absolute minimum values of a function on a given interval. Per the AP Calculus AB Course and Exam Description (CED), this topic accounts for approximately 1-2% of total exam score, and appears in both multiple-choice (MCQ) and free-response (FRQ) sections, most often as part of a larger optimization or graph analysis question. The core idea draws from the Extreme Value Theorem: if a function is continuous on a closed bounded interval , it must attain both an absolute maximum and an absolute minimum on that interval, and these extrema can only occur at two types of points: critical points inside the interval, or endpoints of the interval. All such points are called candidate points, because they are the only points we need to test to find absolute extrema. Unlike the First or Second Derivative Tests, which only classify local extrema, the Candidates Test directly identifies global (absolute) extrema, which are the values most frequently requested on the AP exam.
2. The Candidates Test on Closed Intervals
The most common scenario for AP exam problems is finding absolute extrema on a closed bounded interval , and this case forms the base of the Candidates Test. The Extreme Value Theorem guarantees that any continuous function on a closed interval will have both an absolute maximum and an absolute minimum, so we just need to locate them via the following step-by-step procedure:
- Confirm the function is continuous on the entire interval .
- Find all critical points of that lie strictly inside the open interval . Critical points are defined as points where , or is undefined but is defined.
- Add the two endpoints and to your list of candidate points, along with any valid critical points from step 2.
- Evaluate at every candidate point on the list.
- The largest output value is the absolute maximum of on , and the smallest output value is the absolute minimum.
The intuition behind this procedure is simple: absolute extrema cannot occur anywhere outside the list of candidates, so we only need to compare the function values at these points to find the global extrema.
Worked Example
Find the absolute maximum and absolute minimum of on the closed interval .
- is a polynomial, so it is continuous on all real numbers, including , so the Extreme Value Theorem applies.
- Compute the first derivative: . Set to find critical points at and , both of which lie strictly inside . There are no points where is undefined, so these are our only critical points.
- Full list of candidates: .
- Evaluate at each candidate:
- The largest value is , so the absolute maximum of on is at . The smallest value is , so the absolute minimum is at and .
Exam tip: On FRQs, you must explicitly list all candidate points and show their corresponding function values to earn full credit; AP readers will not infer you used the Candidates Test if you only write the final answer.
3. The Candidates Test on Open Intervals
The Candidates Test can be adapted to find absolute extrema on open intervals or infinite intervals , though the Extreme Value Theorem does not apply here (since endpoints are not included in the interval). The key modification is that we use limit values at open endpoints as candidate values, and we must check whether any extremum is actually attained at a point inside the interval. The procedure is:
- Confirm is continuous on the entire open interval.
- Find all critical points inside the interval, same as for closed intervals.
- Evaluate at each critical point.
- Calculate the limit of as approaches each open endpoint from inside the interval (for infinite endpoints, calculate or ). These limits are candidate values for comparison.
- If the largest candidate value comes from a critical point inside the interval, that is the absolute maximum. If the largest value is only approached as a limit at an endpoint and never attained inside the interval, there is no absolute maximum. The same logic applies for the absolute minimum.
The intuition is that on an open interval, a function can grow without bound or approach an extremum at the endpoint that it never actually reaches, so we cannot assume an absolute extremum exists.
Worked Example
Find all absolute extrema of on the open interval .
- is a polynomial, so it is continuous on , so we proceed.
- Compute the derivative: . The only critical point is , which is inside , and there are no points where is undefined.
- Evaluate at the critical point: .
- Calculate limits at the open endpoints: , .
- Compare candidate values: . The smallest value is , which is attained at inside the interval, so this is the absolute minimum. The largest candidate value is , which is only the limit as and is not included in the interval, so never actually attains on . Thus, there is no absolute maximum.
Exam tip: AP exam questions often include a trick where no absolute maximum or minimum exists on an open interval. Always explicitly state whether an extremum exists, do not just give a value if it is not attained.
4. Candidates Test for Functions with Discontinuities
If a function has a discontinuity on the interval of interest (common for piecewise functions and rational functions), the Candidates Test requires one additional step: add all points of discontinuity where is defined to your candidate list. The Extreme Value Theorem only guarantees extrema for fully continuous functions on closed intervals, so a discontinuity can create a case where an extremum occurs at the discontinuity that would not be captured by only checking critical points and endpoints. The procedure is:
- First identify all points of discontinuity of on the interval.
- Add any discontinuity where is defined to your candidate list, along with critical points and endpoints.
- Evaluate at all candidates and compare values, same as before. If the discontinuity is a point where is undefined, it cannot have an extremum there, so it is not added to the list.
Worked Example
Find the absolute maximum and absolute minimum of on the closed interval .
- is made of polynomial pieces, so the only possible discontinuity is at the boundary . We confirm , , so there is a jump discontinuity at , and is defined, so we add to the candidate list.
- Find critical points inside : for , , which equals zero only at . For , , which is never zero or undefined. So the only point inside the interval is the discontinuity at .
- Full candidate list: endpoints , plus .
- Evaluate : , , .
- Classification: The largest value is , attained at both endpoints, so the absolute maximum is . For the minimum, , which is smaller than all candidate function values, but never actually attains on , because is defined as , and all points have . There is no point in the interval where the minimum value is attained, so this function has no absolute minimum on .
Exam tip: Always treat the point where the piece definition changes as a candidate point for any piecewise function, regardless of whether it is continuous or not.
5. Common Pitfalls (and how to avoid them)
- Wrong move: Forgetting to include endpoints of a closed interval in the list of candidates. Why: Students confuse critical points with all candidate points, and assume all extrema must be local extrema. Correct move: Always add the two endpoints of a closed interval to your candidate list before evaluating function values.
- Wrong move: Including critical points that lie outside the given interval in the candidate list. Why: Students find all critical points of the function over its entire domain, then forget to filter them to only those inside the interval of interest. Correct move: After finding all critical points, cross out any that are not within the given interval, only keep valid candidates.
- Wrong move: Claiming an absolute extremum exists on an open interval when its value is only attained as a limit at the endpoint. Why: Students forget that open intervals do not include endpoints, so the function cannot attain a value there. Correct move: For any open endpoint, only count the limit as an attained extremum if the endpoint is included in the interval.
- Wrong move: Forgetting to add points of discontinuity (where is defined) to the candidate list. Why: Students assume all tested functions are continuous everywhere, so they skip checking for discontinuities in piecewise or rational functions. Correct move: For any non-polynomial function, first find all discontinuities on the interval, add any where is defined to your candidate list.
- Wrong move: Comparing -values instead of values to find the absolute maximum/minimum. Why: Students rush after finding candidates and incorrectly pick the largest or smallest -coordinate instead of the largest/smallest function output. Correct move: Always explicitly write the value of at each candidate, then sort the function outputs to find the extrema.
- Wrong move: Ignoring critical points where is undefined (but is defined). Why: Students only set to find critical points, and forget the second part of the critical point definition. Correct move: After finding where , check for points where is undefined but is defined, add any inside the interval to your candidate list.
6. Practice Questions (AP Calculus AB Style)
Question 1 (Multiple Choice)
What is the absolute minimum value of on the closed interval ? A. B. C. D.
Worked Solution: First, is a polynomial, so it is continuous on , and we can apply the Candidates Test for closed intervals. Compute the derivative: . Critical points at and , both inside . The full list of candidates is . Evaluate at each candidate: , , , . The smallest function value is , so this is the absolute minimum. The correct answer is B.
Question 2 (Free Response)
Let for . (a) Find all critical points of on the interval . (b) Use the Candidates Test to determine whether has an absolute maximum and an absolute minimum on . Justify your answer. (c) Find the absolute maximum value if it exists.
Worked Solution: (a) Use the quotient rule to compute the derivative: Set : the numerator equals zero when . is undefined at , but is also undefined at , so it is not a critical point. The only critical point is .
(b) We are on the open infinite interval . We have one critical point at with . Calculate the limits at the endpoints:
- , since as .
- by L'Hospital's rule. Since can take arbitrarily small negative values, there is no absolute minimum. The largest candidate value is , attained at inside the interval, so there is an absolute maximum.
(c) The absolute maximum value is .
Question 3 (Application / Real-World Style)
A company produces units of a good per day, with daily profit given by , measured in hundreds of dollars, for units. What is the maximum possible daily profit the company can earn, and how many units must be produced to achieve it?
Worked Solution: is a polynomial, so it is continuous on the closed interval . Compute the derivative: . Set and solve for : and , both inside . Candidates are . Evaluate : , , , . The maximum value is approximately hundred dollars at units.
In context: The company can earn a maximum daily profit of approximately , achieved by producing roughly 12 units per day.
7. Quick Reference Cheatsheet
| Category | Rule/Procedure | Notes |
|---|---|---|
| Candidate Point Definition | All points where absolute extrema can occur: 1) Critical points inside interval, 2) Endpoints of interval, 3) Discontinuities where is defined | Discard any candidates that lie outside the interval of interest |
| Candidates Test (Closed ) | 1. Confirm continuous, 2. Find critical points in , 3. Add endpoints to candidates, 4. Evaluate at all candidates, 5. Largest = absolute max, smallest = absolute min | EVT guarantees both absolute max and min exist for continuous |
| Candidates Test (Open ) | 1. Confirm continuous, 2. Find critical points, 3. Evaluate at critical points, 4. Calculate and , 5. Compare all candidate values, only count attained extrema | No guarantee extrema exist; always check for attainment |
| Candidates Test (Infinite ) | Same as open interval, add and as candidate values | Odd-degree polynomials have no absolute extrema; even-degree have one |
| Critical Point Definition | is critical if is defined, and or is undefined | Always include points where is undefined but is defined |
| Discontinuous Functions | Add all discontinuities where is defined to the candidate list | This is required for all piecewise functions at piece boundaries |
| Absolute Extrema Classification | Absolute maximum = largest among attained candidates; Absolute minimum = smallest among attained candidates | Never report an extremum that is not attained at a point in the interval |
8. What's Next
Mastering the Candidates Test for absolute extrema is a critical prerequisite for optimization problems, the next major topic in Unit 5: Analytical Applications of Differentiation. Optimization problems ask you to find the maximum or minimum of a real-world function over a given interval, and the only reliable general method to find those absolute extrema is the Candidates Test. Without correctly identifying and testing all candidate points, you will not be able to find the correct optimal value in any optimization problem, which is a common high-weight FRQ topic on the AP exam. This topic also connects to curve sketching, where you need to identify absolute extrema to accurately graph a function and describe its global behavior over an interval. Next you will extend this technique to solve constrained optimization problems, where you must first build the target function before testing for extrema.