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Classify stationary behaviour using an appropriate test

Finding where the gradient is zero is only half a question when the wording says to determine the nature of each point.

On this page
  1. Two tests, one idea
  2. How to classify, step by step
  3. Worked example
  4. The mistake to watch for
  5. Check yourself
  6. Where this leads next

To classify a stationary point, test the sign of the second derivative, or the sign of the gradient either side of the point. Positive d²y/dx² means a minimum, negative means a maximum, and zero means you must use the gradient test.

This lesson follows finding stationary points and feeds directly into forming an objective function, where you must show that your optimum really is a maximum or minimum.

Two tests, one idea

Both tests ask what the gradient does as you pass through the point.

At a minimum the gradient goes from negative to zero to positive, like a valley. At a maximum it goes from positive to zero to negative, like a hill. The second derivative d²y/dx² is the rate at which the gradient changes, so positive means the gradient is increasing, which matches a valley.

How to classify, step by step

  1. Find the stationary x-values from dy/dx = 0.
  2. Differentiate again to get d²y/dx².
  3. Substitute each x into d²y/dx². Positive gives a minimum, negative gives a maximum.
  4. If the result is zero, choose a value just left and just right of the point and test the sign of dy/dx.
  5. Write the conclusion with the point: “(1, 4) is a maximum”.

Worked example

Find and classify the stationary points of y = 2x³ − 9x² + 12x − 1.

Step 1, first derivative: dy/dx = 6x² − 18x + 12 = 6(x − 1)(x − 2). So x = 1 or x = 2.

Step 2, y-values:

When x = 1: y = 2 − 9 + 12 − 1 = 4.

When x = 2: y = 16 − 36 + 24 − 1 = 3.

Step 3, second derivative: d²y/dx² = 12x − 18.

Step 4, substitute:

At x = 1: 12 − 18 = −6, which is negative, so (1, 4) is a maximum.

At x = 2: 24 − 18 = 6, which is positive, so (2, 3) is a minimum.

The maximum value 4 is larger than the minimum value 3. That can look odd at first, but these are local highs and lows, and for this cubic the curve keeps climbing after x = 2.

The mistake to watch for

A common slip is to treat d²y/dx² = 0 as proof of an inflection.

Mistaken working: for y = x⁴, d²y/dx² = 12x² = 0 at x = 0, so x = 0 is a point of inflection.

The student assumed that a zero second derivative always means inflection.

The correction is to test the gradient.

Here dy/dx = 4x³. At x = −1 it is −4 (negative) and at x = 1 it is 4 (positive), so the gradient changes from negative to positive and x = 0 is a minimum. A true stationary inflection has the same sign of gradient on both sides.

Check yourself

Try these without a calculator, then open each answer.

1. Find and classify the stationary points of y = x³ − 3x.

Show answer

dy/dx = 3x² − 3 = 3(x − 1)(x + 1), so x = 1 or x = −1. d²y/dx² = 6x.

At x = 1: y = −2 and d²y/dx² = 6 > 0, so (1, −2) is a minimum.

At x = −1: y = 2 and d²y/dx² = −6 < 0, so (−1, 2) is a maximum.

2. For y = x⁴, show that x = 0 is a minimum using the gradient.

Show answer

dy/dx = 4x³. At x = −0.5 it is −0.5, negative. At x = 0.5 it is 0.5, positive. The gradient changes from negative to positive, so x = 0 is a minimum.

3. For y = x³, explain why (0, 0) is not a maximum or minimum.

Show answer

dy/dx = 3x², which is positive on both sides of x = 0 and zero only at x = 0. The gradient does not change sign, so (0, 0) is a stationary point of inflection.

Where this leads next

With classification secure, move to forming an objective function from a constraint. The quadratic structure explorer lets you see how the turning point of a quadratic relates to its second derivative.

If you can do the calculus but the choice of test still feels arbitrary, one-to-one Additional Mathematics tuition gives you a teacher to talk the decision through with.

Questions people ask

What does the second derivative tell me?

At a stationary point, a positive second derivative means the gradient is increasing through zero, so the point is a minimum. A negative value means a maximum. The second derivative measures how the gradient itself is changing.

What if the second derivative is zero?

The test is inconclusive. The point could be a maximum, a minimum or a stationary point of inflection. Use the sign of dy/dx just before and just after the point. For y = x⁴ at x = 0 the second derivative is zero but the point is a minimum.

Do I need both tests for every question?

No. One valid test is enough. The second derivative is quick when it is easy to find and non-zero. The sign test works for any stationary point, so use it when the second derivative is awkward or equals zero.

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Your next step

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