14.6 Stationary Points


2026 📋 Syllabus Objectives

By the end of these notes, you will be able to:

  • Understand what a stationary point is and how to identify one
  • Use differentiation to find stationary points on a curve
  • Determine whether a stationary point is a maximum point or a minimum point using two different methods

Note: Points of inflexion are not part of this syllabus and will not appear in your exam.


1. What Is a Stationary Point?

Imagine you are walking along a hilly path. Sometimes you reach the very top of a hill — you can't go any higher. Sometimes you reach the very bottom of a dip — you can't go any lower. At those exact moments, you are neither going up nor going down. You are standing still, in terms of the slope.

This is exactly what a stationary point is on a curve.

A stationary point (also called a turning point) is a point on a curve where the gradient equals zero — meaning the curve is completely flat (horizontal) at that point.

Recall that the gradient of a curve at any point is given by dy/dx (the first derivative). So:

dydx=0at every stationary point\frac{dy}{dx} = 0 \quad \text{at every stationary point}

There are two types of stationary points you need to know:

TypeWhat it looks like
Maximum pointThe top of a "hill" on the curve
Minimum pointThe bottom of a "valley" on the curve

2. Maximum Points

A maximum point is a stationary point where the curve reaches a local peak — the y-value at this point is higher than the y-values of all the nearby points around it.

Think of it as the very top of a hill.

What happens to the gradient around a maximum point?

  • Before the maximum (to the left): the curve is going up, so the gradient is positive (+)
  • At the maximum: the curve is flat, so the gradient is zero (0)
  • After the maximum (to the right): the curve is going down, so the gradient is negative (−)

So the gradient changes from positive → zero → negative at a maximum point.

Gradient pattern at a maximum:   +   →   0   →   −
Curve shape:                     ↗       —       ↘

3. Minimum Points

A minimum point is a stationary point where the curve reaches a local dip — the y-value at this point is lower than the y-values of all the nearby points around it.

Think of it as the very bottom of a valley.

What happens to the gradient around a minimum point?

  • Before the minimum (to the left): the curve is going down, so the gradient is negative (−)
  • At the minimum: the curve is flat, so the gradient is zero (0)
  • After the minimum (to the right): the curve is going up, so the gradient is positive (+)

So the gradient changes from negative → zero → positive at a minimum point.

Gradient pattern at a minimum:   −   →   0   →   +
Curve shape:                     ↘       —       ↗

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