Study Guide

Monotonic functions, second derivative test

IB Mathematics AI HLΒ· 30 min read

1. Monotonic Functions and First Derivative Criterionβ˜…β˜…β˜†β˜†β˜†β± 15 min

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πŸ“˜ Definition

Monotonic Function

A function is monotonic on an interval if it is either entirely non-increasing or entirely non-decreasing on that interval. Strictly monotonic functions are strictly increasing or decreasing throughout the interval.

Example:

is strictly monotonic over all real numbers

To determine if a function is increasing or decreasing on an interval, we use the sign of the first derivative. The rule is: if for all in the interval, is strictly increasing; if for all in the interval, is strictly decreasing. Isolated points where do not break monotonicity if the sign does not change.

πŸ“ Worked Example

Prove that is strictly increasing on and strictly decreasing on .

  1. 1

    Compute the first derivative of :

  2. 2
    fβ€²(x)=12x2βˆ’12=12(x2βˆ’1)=12(xβˆ’1)(x+1)f'(x) = 12x^2 - 12 = 12(x^2 - 1) = 12(x-1)(x+1)
  3. 3

    For : both and are negative, so their product is positive. Thus .

  4. 4

    For : is negative, is positive, so product is negative. Thus .

  5. 5

    For : both factors are positive, so product is positive. Thus .

  6. 6

    By the first derivative criterion, the claim holds as required.

Exam tip:

Always test the sign of on either side of critical values to confirm monotonicity, don't just rely on the value at the critical point.

2. The Second Derivative Test for Stationary Pointsβ˜…β˜…β˜…β˜†β˜†β± 20 min

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πŸ“˜ Definition

Second Derivative Test

For a stationary point at where

A method to classify stationary points of a twice-differentiable function by evaluating the sign of the second derivative at the stationary point.

The rule for classification is straightforward: if , the point is a local maximum; if , the point is a local minimum. This test is faster than the first derivative test when the second derivative is easy to compute.

πŸ“ Worked Example

Find and classify all stationary points of .

  1. 1

    First, compute and solve for stationary points:

  2. 2
    fβ€²(x)=3x2βˆ’12x+9=3(xβˆ’1)(xβˆ’3)f'(x) = 3x^2 - 12x + 9 = 3(x-1)(x-3)
  3. 3

    Set , so stationary points occur at and .

  4. 4

    Next, compute the second derivative:

  5. 5
    fβ€²β€²(x)=6xβˆ’12f''(x) = 6x - 12
  6. 6

    Evaluate at : . A negative second derivative means is a local maximum. Calculate : , so local maximum at .

  7. 7

    Evaluate at : . A positive second derivative means is a local minimum. Calculate : , so local minimum at .

βœ“ Quick check

Test your understanding of the sign rule:

  1. If and , what is the classification of the stationary point at ?

    • Local maximum

    • Local minimum

    • Point of inflection

    • Cannot be determined

    Reveal answer
    Local maximum β€”

    Correct! A negative second derivative at a stationary point means the function is concave down (curves downward), so it forms a local maximum.

Exam tip:

IB exam questions almost always ask for full coordinates of stationary points, don't forget to calculate the -value after finding .

3. Limitations and Inconclusive Casesβ˜…β˜…β˜…β˜…β˜†β± 15 min

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The second derivative test only works if exists and is not equal to zero at the stationary point. If at a stationary point , the test is inconclusive, and you must use the first derivative test (checking for a sign change of around the point) to classify it.

πŸ“ Worked Example

Classify the stationary point at for and .

  1. 1

    For : , so , meaning is stationary. , so , so the second derivative test is inconclusive.

  2. 2

    Check the sign of around : for , ; for , . changes from negative to positive, so is a local minimum.

  3. 3

    For : , so , stationary. , so , test is inconclusive.

  4. 4

    Check the sign of around : for both and . No sign change, so is a stationary point of inflection, not a maximum or minimum.

4. Common Pitfalls

Wrong move:

Assuming a stationary point where is automatically a point of inflection

Why:

alone is not sufficient; a change in concavity (sign change of ) is required

Correct move:

When , test the sign of around the point to classify the stationary point

Wrong move:

Forgetting to calculate the -coordinate of classified stationary points

Why:

IB exam questions require full coordinates for full marks, and most students lose easy marks here

Correct move:

After finding the -coordinate, substitute back into the original function to get

Wrong move:

Mixing up the sign rule: claiming is a local maximum

Why:

Confusion between concavity direction: positive means concave up (curves upward)

Correct move:

Remember: negative = frown (maximum), positive = cup (minimum)

Wrong move:

Claiming a function with at an isolated point is not monotonic

Why:

Isolated zeros of do not break monotonicity if the sign does not change

Correct move:

Check the sign of across the entire interval; if it stays non-positive or non-negative, the function is monotonic

5. Quick Reference Cheatsheet

Concept

Condition

Conclusion

Strictly increasing

on interval

Function is monotonic increasing

Strictly decreasing

on interval

Function is monotonic decreasing

Local maximum (2nd test)

is local maximum

Local minimum (2nd test)

is local minimum

Inconclusive 2nd test

or undefined

Use first derivative test to classify

Point of inflection

changes sign at

Concavity changes at

When this came up on past exams

AI-estimated based on syllabus patterns β€” cross-check with official past papers for accuracy. Use only as revision-focus signals.

  • 2022 Β· 1

    Classify stationary points of cubic

  • 2021 Β· 2

    Monotonicity of rational function

  • 2023 Β· 1

    Inconclusive second derivative test

Going deeper

  • syllabusIB AI HL Calculus SyllabusTopic 5.6, 5.7

What's Next

Understanding monotonic functions and the second derivative test is foundational for solving optimization problems, one of the most common long-response question types in IB Math AI HL exams. These concepts also underpin curve sketching, where you need to identify all key features of a function (maxima, minima, inflection points) before drawing it. Mastering this subtopic will set you up to earn full marks on most calculus-based questions, which make up a large portion of your final exam grade.