Critical Points and Extrema
Where is a function highest? Where is it lowest? These questions come up everywhere: the top of a ball’s flight, the lowest cost, the largest volume. This page sets up the vocabulary (absolute and relative extrema), tells you when a highest and lowest point are guaranteed to exist, and shows where to look for them: at critical points.
Key ideas
Section titled “Key ideas”Absolute and relative extrema
Section titled “Absolute and relative extrema”“Extrema” is the plural of “extremum”: a maximum or a minimum.
- has an absolute maximum (or global maximum) at if for every in the domain (or interval) you’re looking at. The value is the absolute maximum value.
- has a relative maximum (or local maximum) at if for all near (on both sides of ): it’s the top of a hill, even if there’s a taller hill somewhere else.
Minimums are defined the same way with . An absolute extremum can also be a relative one, and it can happen at an endpoint of an interval.
Textbooks differ on whether an endpoint can count as a relative extremum. To be safe, look for relative extrema at interior points, and always check endpoints when you want absolute extrema.
The Extreme Value Theorem
Section titled “The Extreme Value Theorem”Extreme Value Theorem (EVT). If is continuous on a closed interval , then has both an absolute maximum and an absolute minimum on .
Both conditions matter:
- On an open interval, there may be no maximum. on gets close to but never reaches it, because isn’t included.
- With a discontinuity, there may be no maximum. on shoots up to near .
Like the Mean Value Theorem, the EVT guarantees that the extrema exist; it doesn’t tell you where they are.
Critical points
Section titled “Critical points”A critical point (or critical number) of is a number in the domain of where
- : a horizontal tangent, like the top of a smooth hill.
- undefined: a corner, a cusp, or a vertical tangent.
If isn’t defined at , then is not a critical point, even if is undefined there.
Why critical points matter
Section titled “Why critical points matter”If has a relative extremum at an interior point , then must be a critical point. (At the top of a smooth hill the tangent is flat; otherwise the hilltop is a sharp point where doesn’t exist.)
The reverse is not true: a critical point doesn’t have to be an extremum. For , , but the graph keeps rising through . Critical points are candidates. The first derivative test and the candidates test decide which candidates win.
Worked examples
Section titled “Worked examples”Example 1: Critical points of a polynomial
Section titled “Example 1: Critical points of a polynomial”Find the critical points of .
Solution. A polynomial’s derivative exists everywhere, so the only critical points are where :
The critical points are and .
Example 2: Where the derivative doesn’t exist
Section titled “Example 2: Where the derivative doesn’t exist”Find the critical points of .
Solution. Expand first, so you can use the power rule:
- when the numerator is : .
- is undefined when the denominator is : . And is defined, so is in the domain.
The critical points are and . (The graph has a cusp at .)
Example 3: Trig critical points (radians)
Section titled “Example 3: Trig critical points (radians)”Find the critical points of on . Calculus always uses radians: radians is .
Solution. , which exists everywhere. Set it equal to :
(Dividing by is fine: if , then , so they can’t be equal.) On , at and .
Example 4: Is an absolute maximum guaranteed?
Section titled “Example 4: Is an absolute maximum guaranteed?”For each function, does the EVT guarantee an absolute maximum and minimum on the interval?
- (a) on
- (b) on
- (c) on
Solution.
(a) Yes. is a polynomial, so it’s continuous on the closed interval .
(b) No. is not continuous at , which is in the interval. (In fact has no absolute max or min there: it heads to near .)
(c) No. The interval is open. In fact has neither: its values get close to and but never reach them, since and are left out.
Common mistakes
Section titled “Common mistakes”Forgetting the points where f′ is undefined. After solving , look at the denominator of too. In Example 2, missing would miss the cusp.
Calling a point a critical point when it isn’t in the domain. For , is undefined at , but so is . So is not a critical point.
Assuming every critical point is a maximum or minimum. has a critical point at and no extremum. You need a test to decide.
Using the EVT without checking both conditions. Write ” is continuous on the closed interval ” before using the theorem. Open intervals and discontinuities break it.
Giving the x-value when the question asks for the value. “The absolute maximum value” is , a -value. “Where” or “at what ” asks for . Read the question carefully.
Practice
Section titled “Practice”1. (Warm-up) Find the critical point of .
Solution
gives .
2. (Warm-up) Find the critical points of .
Solution
The critical points are and .
3. (Warm-up) Does the EVT guarantee that has an absolute maximum on ? On ?
Solution
On : yes. The only discontinuity is at , which is outside the interval, so is continuous on the closed interval .
On : no. is inside the interval, so is not continuous there. (It actually has no maximum: it goes to as .)
4. (Core) Find the critical points of .
Solution
The critical points are and .
5. (Core) Find the critical points of .
Solution
By the chain rule:
- when .
- is undefined when , so . Since is defined, these are in the domain.
The critical points are , , and .
6. (Core) Find the critical points of on (radians).
Solution
, which exists everywhere. Set it to :
7. (Core) Find the critical points of .
8. (Challenge) Show that has no critical points, even though is undefined at .
Solution
The numerator is , so is never . is undefined only at , but is undefined too (division by zero), so is not in the domain and isn’t a critical point. So has no critical points.
9. (Challenge) Find constants and so that has critical points at and .
Solution
. We need and , so must be (the leading coefficient is ):
Matching coefficients: and . So and .
Check: gives and . ✓