14.9 Derivative Tests for Extrema


2026 📋 Syllabus Objectives

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

  • Understand what a stationary point is and how to find one
  • Use the First Derivative Test to identify whether a stationary point is a maximum or a minimum
  • Use the Second Derivative Test to identify whether a stationary point is a maximum or a minimum
  • Give a full, justified conclusion when determining the nature of a stationary point

Note: Points of inflexion are not part of this syllabus. You only need to deal with maxima and minima.


1. What is a Stationary Point?

When you draw the graph of a curve, the curve goes up and down. At certain special points, the curve is neither going up nor going down — it is perfectly flat for just a moment. These are called stationary points (also called turning points).

At a stationary point, the gradient of the curve is zero.

Gradient means the steepness of the curve at a particular point. It is measured by the first derivative, dydx\dfrac{dy}{dx}.

The rule to find a stationary point:

dydx=0\frac{dy}{dx} = 0

So to find stationary points, you differentiate the function, set the result equal to zero, and solve for xx.


2. Types of Stationary Points

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

🔺 Maximum Point

A maximum point is the "peak" of a curve — like the top of a hill. The yy-value at this point is higher than all the nearby points around it.

What happens to the gradient near a maximum point:

PositionGradient (dydx\frac{dy}{dx})Direction of curve
Just left of the maximumPositive (+)Going up
At the maximumZero (0)Flat
Just right of the maximumNegative (−)Going down

So the gradient goes: positive → zero → negative

Think of it like climbing a hill: you go up, reach the top (flat), then come down.


🔻 Minimum Point

A minimum point is the "valley" of a curve — like the bottom of a dip. The yy-value at this point is lower than all the nearby points around it.

What happens to the gradient near a minimum point:

PositionGradient (dydx\frac{dy}{dx})Direction of curve
Just left of the minimumNegative (−)Going down
At the minimumZero (0)Flat
Just right of the minimumPositive (+)Going up

So the gradient goes: negative → zero → positive

Think of it like going into a valley: you go down, reach the bottom (flat), then come up.

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