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Reading Time: 6 min
Last Updated: March 30, 2026
Main Ideas: 5
Reading Time: 6 min
Last Updated: March 30, 2026
Main Ideas: 5

Topic 5.7 Notes – Using the Second Derivative Test to Determine Extrema

Verified for 2027 AP® Calculus AB Exam
Read aloud
You already know how to find critical points from f′(x) f'(x) . Now we use f′′(x) f''(x) to justify what kind of extremum a critical point is, and when a local extremum must also be absolute on an interval.

1. The Second Derivative Test

A critical point occurs at x=c x = c where:

  • f′(c)=0 f'(c) = 0 , or
  • f′(c) f'(c) does not exist (but f f does).

The second derivative tells you about concavity:

  • f′′(x)>0 f''(x) > 0 → concave up
  • f′′(x)<0 f''(x) < 0 → concave down

Here’s the connection that makes this test work:

If f′(c)=0 f'(c) = 0 and f′′(c) f''(c) exists, then:

  • If f′′(c)>0 f''(c) > 0 → local minimum
  • If f′′(c)<0 f''(c) < 0 → local maximum
  • If f′′(c)=0 f''(c) = 0 → inconclusive

Why? Because concavity tells you the shape at that point. In the figure below, the left graph is concave up with a minimum at its vertex, and the right graph is concave down with a maximum at its vertex.

Study guide illustration
  • Concave up looks like a bowl → bottom → minimum.
  • Concave down looks like a hill → top → maximum.

This is a faster alternative to the First Derivative Test. Instead of checking sign changes of f′ f' , you check the sign of f′′ f'' at the critical point.

2. The Full Procedure

When a problem says “Use the Second Derivative Test,” here’s the flow:

  1. Find f′(x) f'(x) .
  2. Find critical points by solving f′(x)=0 f'(x) = 0 (and checking where it doesn’t exist, if relevant).
  3. Find f′′(x) f''(x) .
  4. Plug each critical point into f′′(x) f''(x) .
  5. Classify using the sign of f′′(c) f''(c) .

Quick example:

Let f(x)=x3−6x2+5x f(x) = x^3 - 6x^2 + 5x .

  • f′(x)=3x2−12x+5 f'(x) = 3x^2 - 12x + 5
  • Solve 3x2−12x+5=0 3x^2 - 12x + 5 = 0 → gives critical points (you’d solve with quadratic formula).
  • Then compute f′′(x)=6x−12 f''(x) = 6x - 12 .
  • Plug each critical value into f′′ f'' and classify by sign.

On a no-calculator section, algebra accuracy matters. A small mistake in f′′(x) f''(x) flips max to min.

Also remember:
You must have f′(c)=0 f'(c) = 0 . If that’s not true, you cannot use this test.

3. When the Test Is Inconclusive

If:

  • f′′(c)=0 f''(c) = 0 , or
  • f′′(c) f''(c) does not exist

the test gives you no classification.

This does not mean there isn’t a max or min.

Example idea:
For f(x)=x4 f(x) = x^4 ,

  • f′(x)=4x3 f'(x) = 4x^3
  • Critical point at x=0 x = 0
  • f′′(x)=12x2 f''(x) = 12x^2
  • f′′(0)=0 f''(0) = 0

The test fails. But x=0 x=0 is clearly a minimum. You can see the flat bottom at the origin in the graph below.

Graph of f(x)=x4 f(x) = x^4

When this happens, switch to the First Derivative Test and check if f′(x) f'(x) changes sign around the point.

The second derivative only checks concavity at the point. The first derivative checks behavior around it.

4. Local vs Absolute Extrema on an Interval

Here’s a statement the AP exam loves in justification questions:

If a function is continuous on an interval and has exactly one critical point on that interval, and that point is a local extremum, then it is also the absolute extremum on that interval.

Why this works:

  • A continuous function can only change direction at critical points.
  • If there’s only one, there’s no second peak or valley competing.

On an FRQ, you must actually state:

  • The function is continuous on the interval.
  • There is exactly one critical point.
  • Therefore, the local extremum is absolute.

If you skip continuity, you can lose justification points.

5. Common Mistakes That Cost Points

  • Plugging a value into f′′(x) f''(x) without verifying f′(c)=0 f'(c) = 0 .
  • Mixing up the signs. Positive second derivative means minimum.
  • Calling something absolute without mentioning continuity and “only one critical point.”
  • Forgetting that endpoints matter when a problem asks for absolute extrema on a closed interval. The Second Derivative Test does not check endpoints.

Key Takeaways

The Second Derivative Test only applies when f′(c)=0 f'(c) = 0 and f′′(c) f''(c) exists.
f′′(c)>0 f''(c) > 0 means concave up and a local minimum at c c .
f′′(c)<0 f''(c) < 0 means concave down and a local maximum at c c .
If f′′(c)=0 f''(c) = 0 , use the First Derivative Test.
A continuous function with exactly one critical point on an interval has its local extremum as the absolute extremum on that interval.

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Notes

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