First derivative test (local minimum): Infer a local minimum from a sign chart

By Vegard Gjerde Based on Masterful Learning 8 min read
first-derivative-test-local-minimum calculus derivatives math learning-strategies

First derivative test (local minimum) lets you infer a local minimum at c from the sign of ff' near cc. It applies when ff' changes from negative to positive at cc, meaning the function goes from decreasing to increasing there. Recognizing that left-right sign pattern before concluding anything is a core fluency skill in the Unisium Study System.

Unisium hero image titled First derivative test (local minimum) showing the principle equation and a conditions card.
The first derivative test for a local minimum uses the sign pattern f(x)<0f'(x)<0 to the left of cc and f(x)>0f'(x)>0 to the right of cc.

On this page: The Principle | Conditions | Failure Modes | EE Questions | Retrieval Practice | Practice Ground | Solve a Problem | Related Principles | FAQ | How This Fits


The Principle

The move: Infer that ff has a local minimum at cc when the derivative is negative immediately to the left of cc and positive immediately to the right.

The invariant: The sign of ff' tracks local behavior: negative means decreasing and positive means increasing, so a (+)(- \to +) change is the pattern that supports the minimum conclusion.

Pattern: f(x)<0 left of c,f(x)>0 right of cf has a local minimum at cf'(x)<0 \text{ left of } c,\quad f'(x)>0 \text{ right of } c \quad\Longrightarrow\quad f \text{ has a local minimum at } c

Applies ✓Does not apply ✗
f(x)<0f'(x)<0 on (1,2)(1,2) and f(x)>0f'(x)>0 on (2,3)f(2,3) \Rightarrow f has a local minimum at x=2x=2f(x)>0f'(x)>0 on (1,0)(-1,0) and f(x)>0f'(x)>0 on (0,1)⇏f(0,1) \not\Rightarrow f has a local minimum at x=0x=0

Left: the derivative changes from negative to positive, so ff goes from decreasing to increasing and the local-minimum conclusion is justified. Right: the derivative stays positive on both sides, so the condition fails even though the point may still look special for some other reason.


Conditions of Applicability

Condition: f’ changes (- to +) at c

This test is a local-behavior inference, not a shortcut from f(c)=0f'(c)=0 alone. You need sign information for ff' on both sides of cc, because the theorem concludes a minimum from the change in monotonic behavior, not from a single derivative value.

Before applying, check: can you justify f(x)<0f'(x)<0 just to the left of cc and f(x)>0f'(x)>0 just to the right of cc?

If the condition is violated: the local-minimum conclusion is not available from this test; the point could be a local maximum, neither, or require a different argument.

  • A critical point by itself is not enough. The theorem needs a left-right sign change, not only f(c)=0f'(c)=0 or an undefined derivative.
  • Any reliable sign analysis works: factor ff', simplify it, or test interval signs directly.
  • If your sign chart shows ++ \to -, you have the local-maximum pattern instead. If it shows +++ \to + or - \to -, this minimum test does not apply.
  • The sign chart depends on having the correct derivative first, so rules such as the derivative chain rule and derivative product rule often matter before the test itself starts.

Want the complete framework behind this guide? Read Masterful Learning.


Common Failure Modes

Failure mode: treat any critical point as a local minimum → you infer a minimum where ff' never changes from negative to positive, so the conclusion is not justified.

Debug: mark one sign slot for ff' on each side of cc before concluding anything; if you cannot write +-\mid+, stop.


Elaborative Encoding

Use these questions to build deep understanding. (See Elaborative Encoding for the full method.)

Within the Principle

  • Why does a change from f(x)<0f'(x)<0 to f(x)>0f'(x)>0 mean the function goes from decreasing to increasing near cc?
  • Why is the pair of one-sided signs for ff' more informative than the single number f(c)f'(c)?

For the Principle

  • When you factor ff' to build a sign chart, what minimum evidence do you need before the first derivative test can certify a local minimum?
  • If you know only that f(c)=0f'(c)=0, what additional work is needed before you can conclude a local minimum?

Between Principles

  • How does the first derivative test build on derivative at a point, and why does that make it a stronger local-behavior tool than a tangent-line statement alone?

Generate an Example

  • Create a point where f(c)=0f'(c)=0 but the first derivative test does not prove a local minimum because the sign of ff' fails to change from negative to positive.

Retrieval Practice

Answer from memory, then click to reveal and check. (See Retrieval Practice for the full method.)

State the move in one sentence: _____Infer that a function has a local minimum at c when f' changes from negative to positive at c.
Write the canonical equation: _____ε>0: x(cε,c)f(x)<0, x(c,c+ε)f(x)>0\exists \varepsilon>0:\ x\in(c-\varepsilon,c) \Rightarrow f^{\prime}(x)<0,\ x\in(c,c+\varepsilon) \Rightarrow f^{\prime}(x)>0
State the canonical condition: _____f' changes (- to +) at c

Practice Ground

Use these exercises to build move-selection fluency. (See Self-Explanation for how to use worked examples effectively.)

Procedure Walkthrough

Starting from f(x)=3(x1)(x+1)f'(x)=3(x-1)(x+1), determine what the first derivative test says about x=1x=1.

StepExpressionOperation
0f(x)=3(x1)(x+1)f'(x)=3(x-1)(x+1)
1Near x=1x=1, the factors 33 and (x+1)(x+1) are positiveIsolate the fixed positive factors
2Near x=1x=1, the sign of ff' is controlled by (x1)(x-1)Reduce the sign check to the changing factor
3f(x)<0f'(x)<0 just left of 11 and f(x)>0f'(x)>0 just right of 11Read the two-sided sign change
4ff is decreasing just left of 11 and increasing just right of 11Translate derivative signs into local behavior
5ff has a local minimum at x=1x=1First derivative test (local minimum)

Drills

Action label

What principle was used in the step below, and why is the conclusion justified?

f(x)<0 on (1,4), f(x)>0 on (4,6)f has a local minimum at x=4f'(x)<0 \text{ on } (1,4),\ f'(x)>0 \text{ on } (4,6) \quad\Longrightarrow\quad f \text{ has a local minimum at } x=4

Reveal

The first derivative test for a local minimum was used. The conclusion is justified because the derivative changes from negative to positive at x=4x=4, which is exactly the canonical condition.


Does the theorem apply here? Name the issue before deciding.

f(x)>0 on (2,0), f(x)>0 on (0,3)f has a local minimum at x=0f'(x)>0 \text{ on } (-2,0),\ f'(x)>0 \text{ on } (0,3) \quad\Longrightarrow\quad f \text{ has a local minimum at } x=0

Reveal

No. This is a tempting near-miss, but the condition fails: the derivative is positive on both sides of 00, so there is no (+)(- \to +) sign change. The first derivative test does not justify a local-minimum conclusion here.


What sign-change fact justifies the conclusion below?

f(x)=(x2)(x+1)2f has a local minimum at x=2f'(x)=(x-2)(x+1)^2 \quad\Longrightarrow\quad f \text{ has a local minimum at } x=2

Reveal

Near x=2x=2, the factor (x+1)2(x+1)^2 stays positive, so the sign of ff' is controlled by (x2)(x-2). That makes f(x)<0f'(x)<0 just left of 22 and f(x)>0f'(x)>0 just right of 22, which is the local-minimum pattern.


Does the theorem apply here? If not, explain why the condition fails.

f(x)<0 on (3,1), f(x)<0 on (1,2)f has a local minimum at x=1f'(x)<0 \text{ on } (-3,-1),\ f'(x)<0 \text{ on } (-1,2) \quad\Longrightarrow\quad f \text{ has a local minimum at } x=-1

Reveal

No. The derivative stays negative on both sides of 1-1, so there is no negative-to-positive change. The point may be critical for some other reason, but this test does not prove a local minimum there.


Transition identification

Which transition uses the first derivative test for a local minimum directly?

f(x)<0 on (0,3), f(x)>0 on (3,5)(1)f decreases on (0,3) and increases on (3,5)(2)f has a local minimum at x=3f'(x)<0 \text{ on } (0,3),\ f'(x)>0 \text{ on } (3,5) \xrightarrow{(1)} f \text{ decreases on } (0,3) \text{ and increases on } (3,5) \xrightarrow{(2)} f \text{ has a local minimum at } x=3

Reveal

Transition (2) uses the first derivative test directly. Transition (1) interprets derivative signs as monotonic behavior; transition (2) turns that decreasing-then-increasing pattern into the local-minimum conclusion.


Which proposed transitions are justified applications of the first derivative test for a local minimum?

  1. f(x)<0f'(x)<0 left of cc, f(x)>0f'(x)>0 right of cc \Longrightarrow ff has a local minimum at cc
  2. f(x)>0f'(x)>0 left of cc, f(x)<0f'(x)<0 right of cc \Longrightarrow ff has a local minimum at cc
  3. f(x)<0f'(x)<0 left of cc, f(x)<0f'(x)<0 right of cc \Longrightarrow ff has a local minimum at cc
Reveal

Only 1 is justified.

  • 1 matches the required (+)(- \to +) sign change.
  • 2 is the local-maximum pattern, not the local-minimum pattern.
  • 3 shows no sign change at all, so the condition fails.

At which labeled point(s) does the first derivative test for a local minimum apply?

Sign chart for ff':

(,2):+(2,1):(1,4):+(4,):+(-\infty,-2): + \qquad (-2,1): - \qquad (1,4): + \qquad (4,\infty): +

Candidate points: x=2x=-2, x=1x=1, x=4x=4

Reveal

The test applies only at x=1x=1.

  • At x=2x=-2, the sign change is (+)(+ \to -), which matches a local maximum.
  • At x=1x=1, the sign change is (+)(- \to +), which matches a local minimum.
  • At x=4x=4, the sign is (++)(+ \to +), so there is no minimum conclusion from this test.

Which transition, if any, is a justified first-derivative-test move?

f(x)0 on both sides of c(1)f(c)=0(2)f has a local minimum at cf'(x)\ge 0 \text{ on both sides of } c \xrightarrow{(1)} f'(c)=0 \xrightarrow{(2)} f \text{ has a local minimum at } c

Reveal

Neither transition is a justified use of this principle. The first derivative test needs a negative-to-positive sign change. Nonnegative values on both sides and the isolated fact f(c)=0f'(c)=0 do not meet the condition.


Forward step

Apply the first derivative test once at c=0c=0.

f(x)=x(x3)2f'(x)=x(x-3)^2

Reveal

Near x=0x=0, the factor (x3)2(x-3)^2 stays positive, so the sign of ff' matches the sign of xx. That gives f(x)<0f'(x)<0 just left of 00 and f(x)>0f'(x)>0 just right of 00.

Therefore, ff has a local minimum at x=0x=0.


Should you conclude a local minimum at c=0c=0 from the derivative below? Explain your decision.

f(x)=x2(x1)f'(x)=x^2(x-1)

Reveal

No. Near x=0x=0, the factor x2x^2 is nonnegative and (x1)(x-1) is negative, so f(x)f'(x) is negative on both sides of 00. There is no (+)(- \to +) sign change, so the first derivative test for a local minimum does not apply.


Solve a Problem

Apply what you’ve learned with Problem Solving.

Problem: For f(x)=x(x2)2(x5)f'(x)=x(x-2)^2(x-5), determine what the first derivative test says about x=0x=0, x=2x=2, and x=5x=5.

Full solution
StepExpressionMove
0f(x)=x(x2)2(x5)f'(x)=x(x-2)^2(x-5)
1Sign chart for ff': (,0):+( -\infty,0): +, (0,2):(0,2): -, (2,5):(2,5): -, (5,):+(5,\infty): +Sign analysis across the critical points
2At x=0x=0, the sign change is (+)(+ \to -)This is the local-maximum pattern, not the local-minimum pattern
3At x=2x=2, the sign change is ()(- \to -)No sign change, so this local-minimum test does not apply
4At x=5x=5, the sign change is (+)(- \to +)First derivative test (local minimum)
5ff has a local minimum at x=5x=5 onlyFinal conclusion

The square factor at x=2x=2 is the key diagnostic detail: it touches zero without changing sign, so it creates a tempting critical point that does not satisfy the test.


PrincipleRelationship
First derivative test (local maximum)Uses the same sign-chart method, but the sign change is ++ \to - instead of +- \to +
Derivative at a pointSupplies the derivative object whose sign you inspect on each side of cc
Derivative chain ruleOften appears before the test when you need the correct derivative formula to build a sign chart

FAQ

What does the first derivative test for a local minimum say?

It says that if ff' changes from negative to positive at cc, then ff has a local minimum at cc. The logic is decreasing first, then increasing.

Is f(c)=0f'(c)=0 enough to prove a local minimum?

No. A zero derivative at one point only tells you that the point is critical or flat in some sense. The first derivative test needs the left-right sign change in ff'.

Can the test fail even when a point looks special?

Yes. A point can be critical while the derivative keeps the same sign on both sides. In that case the local-minimum conclusion is not justified by this test.

How is this different from the local-maximum version of the test?

The local-minimum version looks for (+)(- \to +). The local-maximum version looks for (+)(+ \to -). The same sign-chart method is used, but the direction of the change matters.

What if the derivative sign chart is hard to compute?

Then the bottleneck is the derivative analysis, not the theorem statement. Factor when possible, track repeated factors carefully, and use derivative rules cleanly before trying to read the sign pattern.


How This Fits in Unisium

In Unisium, the first derivative test is trained as a move-selection theorem: you do not stop at finding a critical point, you verify the derivative sign pattern that makes the extremum conclusion justified. That fits directly with retrieval practice, self-explanation, and the broader logic of Masterful Learning, where accuracy comes from recognizing the right move under the right condition. To keep building that fluency across calculus, practice directly in the Unisium app once you can read a derivative sign chart without hesitation.

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