Gradients and Stationary Points by Differentiation Revision Notes | IGCSE Edexcel Higher Maths
Differentiate the function, set the derivative equal to zero and solve for x. Free IGCSE Edexcel Maths notes with step-by-step methods and 10 FAQs.
Updated 25 Mar 2026 · Revise Right Team
Gradients and Stationary Points by Differentiation is part of Quadratic and Other Graphs in IGCSE Edexcel Higher Maths.
1 min
Reading time
20
Lessons in this topic
IGCSE Edexcel Higher
Pathway
Reviewed by Revise Right
Content review
What this lesson covers
Differentiate the function, set the derivative equal to zero and solve for x. Free IGCSE Edexcel Maths notes with step-by-step methods and 10 FAQs.
Use the derivative to find where a curve has gradient zero
Find coordinates of stationary points
Identify whether a stationary point is a maximum, minimum, or neither from context or gradient behaviour
Key ideas to keep in view
Use this lesson to stay inside Quadratic and Other Graphs while connecting the detail back to the wider Topic 3: Sequences, Functions and Graphs topic.
Stationary point: A point on a graph where the gradient is zero.
Maximum: A highest turning point in the local shape of the graph.
Minimum: A lowest turning point in the local shape of the graph.
Revision notes
Read the core explanations from Gradients and Stationary Points by Differentiation before testing yourself from memory.
1. What This Lesson Covers
A stationary point happens when the curve flattens, so the tangent there has gradient zero. Differentiation gives a clean algebraic way to find those points.
Once you know the x-value, substitute back into the original equation to get the full coordinate.
2. Key Vocabulary
4. Core Method
Differentiate the function first.
Set the derivative equal to zero and solve for x. These are the candidate stationary points.
Substitute each x-value back into the original function to get the coordinates.
Use the shape of the graph or the sign of the gradient around the point to decide whether it is a maximum or minimum.
6. Worked Examples
Worked example: Finding a minimum point
Find the stationary point of y = x^2 - 4x + 1.
dy/dx = 2x - 4 — Differentiate term by term.
2x - 4 = 0 so x = 2 — A stationary point has zero gradient.
y = 2^2 - 4(2) + 1 = -3 — Substitute back into the original equation.
The parabola opens upward — So this stationary point is a minimum.
Answer: Stationary point at (2, -3), and it is a minimum.
Worked example: Finding more than one stationary point
Find the stationary points of y = x^3 - 3x.
dy/dx = 3x^2 - 3 — Use the power rule.
3x^2 - 3 = 0 so x^2 = 1, so x = ±1 — There are two candidate points.
At x = -1, y = 2. At x = 1, y = -2 — Substitute into the original cubic.
(-1,2) is a local maximum and (1,-2) is a local minimum — The cubic rises, falls, then rises again.
Answer: Stationary points at (-1, 2) and (1, -2).
Worked example: Finding and Classifying a Stationary Point
Find the stationary point of y = x^2 - 6x + 5 and decide whether it is a maximum or minimum.
dy/dx = 2x - 6 — The derivative gives the gradient at each point on the curve.
2x - 6 = 0, so x = 3 — A stationary point has gradient zero.
y = 3^2 - 6(3) + 5 = 9 - 18 + 5 = -4 — Substitute back into the original function, not the derivative.
The parabola opens upwards, so the stationary point is a minimum. — The graph falls to the point and then rises away from it.
Answer: The stationary point is (3, -4) and it is a minimum.
7. Common Pitfalls
Stopping after finding x and forgetting to calculate the y-coordinate
Setting the original function to zero instead of the derivative
Classifying a point without checking the graph shape or gradient behaviour around it
9. Exam Focus
Setting the derivative to zero only finds the x-coordinate. You still need to substitute back into the original function to get the point.
Sources and content standards
Published by Revise Right. Use the official specification reference to check the requirements for your course. Content updated: 2026-03-25.
Differentiate the function, set the derivative equal to zero and solve for x. Then substitute each x-value back into the original function to get the coordinates. For y = x² - 4x + 1, 2x - 4 = 0 gives x = 2 and y = -3, so the stationary point is (2, -3).
What is a stationary point?
A stationary point is a point on a graph where the gradient is zero, so the curve flattens and the tangent there has gradient zero. It may be a maximum, a minimum or neither.
How do you tell if a stationary point is a maximum or minimum?
Use the shape of the graph or the sign of the gradient around the point. For a parabola that opens upwards, such as y = x² - 6x + 5, the graph falls to the point and then rises, so the stationary point (3, -4) is a minimum.
What are the stationary points of y = x³ - 3x?
Differentiate to get dy/dx = 3x² - 3, then set 3x² - 3 = 0, so x = ±1. Substituting gives (-1, 2), a local maximum, and (1, -2), a local minimum, as the cubic rises, falls, then rises again.
Why substitute back into the original equation for stationary points?
Setting the derivative to zero only finds the x-coordinate of a stationary point. Substituting that x-value back into the original function, not the derivative, gives the y-coordinate and the full point.
What is the stationary point of y = x² - 4x + 1?
The stationary point of y = x² - 4x + 1 is (2, -3), and it is a minimum. dy/dx = 2x - 4 = 0 gives x = 2, then y = 2² - 4(2) + 1 = -3, and the parabola opens upward.
What is a maximum point on a graph?
A maximum is a highest turning point in the local shape of a graph, where the gradient is zero. For y = x³ - 3x, the point (-1, 2) is a local maximum, because the cubic rises, then falls.
What is a minimum point on a graph?
A minimum is a lowest turning point in the local shape of a graph, where the gradient is zero. For y = x² - 6x + 5, the minimum is (3, -4), because the graph falls to the point and then rises away from it.
Why is the gradient zero at a stationary point?
The gradient is zero at a stationary point because the curve flattens there, so the tangent is flat. This is why stationary points are found by setting the derivative equal to zero.
Do you set the derivative or the function equal to zero?
To find stationary points, set the derivative equal to zero, not the original function. Setting the original function to zero instead of the derivative is a common pitfall.