Finding Maxima and Minima with Calculus Revision Notes | GCSE AQA Higher Further Maths
Finding Maxima and Minima with Calculus: Learn how to use differentiation to find maximum and minimum values in practical problems.
Finding Maxima and Minima with Calculus is part of Using calculus to find maxima and minima in simple problems in GCSE AQA Higher Further Maths.
4 min
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11
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GCSE AQA Higher
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What this lesson covers
Finding Maxima and Minima with Calculus: Learn how to use differentiation to find maximum and minimum values in practical problems.
Differentiate polynomial functions to find expressions for the gradient
Find stationary points by setting the derivative equal to zero and solving
Classify stationary points as maxima or minima using the second derivative
Apply calculus to find maximum and minimum values in context-based problems
Key ideas to keep in view
Use this lesson to stay inside Using calculus to find maxima and minima in simple problems while connecting the detail back to the wider Calculus topic.
Calculus
Using calculus to find maxima and minima in simple problems
GCSE AQA Higher Further Maths
Revision notes
Read the core explanations from Finding Maxima and Minima with Calculus before testing yourself from memory.
1. Why Maxima and Minima Matter
Imagine you are designing a box to hold the maximum possible volume, or a company trying to minimise its costs. Both problems share the same mathematical structure: find the highest or lowest value a quantity can reach. Calculus gives you a precise, reliable method to do exactly that.
You already know how to differentiate polynomial functions to find the gradient at any point. The key insight here is that at a peak or a trough on a curve, the gradient is zero — the curve is momentarily flat. Setting $\frac{dy}{dx} = 0$ and solving is how you locate those special points.
2. Stationary Points: The Core Idea
There are two types of stationary point you need to know at GCSE: a maximum, where the curve peaks and then falls away, and a minimum, where the curve dips and then rises again. Both have gradient zero, so you find them the same way — but you classify them differently.
The curve above has a local maximum on the left (where the curve peaks) and a local minimum on the right (where it troughs). Both points have a horizontal tangent — that is the visual signature of $\frac{dy}{dx} = 0$.
3. The Four-Step Method
Every question asking you to find and classify stationary points follows the same four steps. Practise this sequence until it becomes automatic, because the method earns marks even if arithmetic slips occur later.
Step 1 — Differentiate: find $\frac{dy}{dx}$.
Step 2 — Set equal to zero: solve $\frac{dy}{dx} = 0$ to find the $x$-coordinate(s).
Step 3 — Find $y$: substitute each $x$ back into the original equation.
Step 4 — Classify: differentiate again to get $\frac{d^2y}{dx^2}$, then substitute the $x$-value and check the sign.
Worked example: Finding and Classifying Stationary Points
Find the coordinates of the stationary points of $y = x^3 - 3x^2 - 9x + 2$ and determine whether each is a maximum or a minimum.
$\frac{dy}{dx} = 3x^2 - 6x - 9$ — Bring down the power and reduce it by one for each term. The constant term disappears. [M1 — correct differentiation]
$3x^2 - 6x - 9 = 0$
$x^2 - 2x - 3 = 0$
$(x - 3)(x + 1) = 0$
$x = 3$ or $x = -1$ — Divide through by 3 first to simplify, then factorise. Both values of $x$ are stationary points. [M1 — setting to zero and solving]
When $x = 3$:
$y = (3)^3 - 3(3)^2 - 9(3) + 2 = 27 - 27 - 27 + 2 = -25$
When $x = -1$:
$y = (-1)^3 - 3(-1)^2 - 9(-1) + 2 = -1 - 3 + 9 + 2 = 7$ — Substitute each $x$ back into the original equation. Stationary points are $(3, -25)$ and $(-1, 7)$. [A1 — correct coordinates]
At $x = 3$: $\frac{d^2y}{dx^2} = 6(3) - 6 = 18 - 6 = 12 > 0$ → minimum
At $x = -1$: $\frac{d^2y}{dx^2} = 6(-1) - 6 = -6 - 6 = -12 < 0$ → maximum — Positive second derivative means minimum; negative means maximum. [A1 — correct classification]
Answer: Maximum at $(-1, 7)$; minimum at $(3, -25)$.
4. Classifying with the Second Derivative
The second derivative $\frac{d^2y}{dx^2}$ tells you how the gradient itself is changing. At a maximum, the gradient is decreasing (going from positive to zero to negative), so $\frac{d^2y}{dx^2}$ is negative. At a minimum, the gradient is increasing (negative to zero to positive), so $\frac{d^2y}{dx^2}$ is positive.
A useful memory anchor: think of a hill. At the top (maximum), the slope is tilting downward — the gradient is getting more negative, so the second derivative is negative. At the bottom of a valley (minimum), the slope is tilting upward — the gradient is getting more positive, so the second derivative is positive.
5. A Quadratic Example — Simpler Case First
Before tackling cubics in exam questions, it helps to see the method on a quadratic, where there is only one stationary point. Quadratics always produce exactly one stationary point — the vertex of the parabola.
Worked example: Stationary Point of a Quadratic
Find the coordinates of the stationary point of $y = 2x^2 - 8x + 5$ and state whether it is a maximum or minimum.
$\frac{d^2y}{dx^2} = 4$
Since $4 > 0$, the stationary point is a minimum. — The second derivative of $4x - 8$ is $4$, a positive constant. This confirms a minimum for all $x$. [A1]
Answer: Minimum at $(2, -3)$.
Notice that for a quadratic $y = ax^2 + bx + c$, the second derivative is always $2a$. When $a > 0$ (a U-shaped parabola), the second derivative is positive, confirming the single stationary point is always a minimum. When $a < 0$ (an inverted parabola), it is always a maximum.
6. Applying Calculus to Contextual Problems
Exam questions often embed the optimisation in a real-world context — a farmer fencing a field, a manufacturer minimising material costs, or a projectile reaching its peak height. The maths is identical; the extra skill is setting up the function correctly before differentiating.
Worked example: Contextual Optimisation Problem
A ball is thrown upward. Its height $h$ metres after $t$ seconds is given by $h = 20t - 5t^2$. Find the maximum height reached and the time at which it occurs.
$\frac{dh}{dt} = 20 - 10t$ — Treat $h$ as the dependent variable and $t$ as the independent variable. Differentiate term by term. [M1]
$20 - 10t = 0$
$10t = 20$
$t = 2$ — The ball reaches its maximum height when the rate of change of height is zero — it is momentarily stationary in the vertical direction. [M1]
$\frac{d^2h}{dt^2} = -10$
Since $-10 < 0$, this is a maximum. — The second derivative is negative, confirming the stationary point is a maximum — consistent with the ball reaching a peak. [A1]
Answer: Maximum height of $20$ metres, reached at $t = 2$ seconds.
The structure here is exactly the same as the pure maths examples. The only difference is that you interpret the answer in context: $t = 2$ seconds and $h = 20$ metres carry physical meaning, so always state units in your final answer.
7. Practice Problems
The following problems cover the full range of question types you will meet. Work through each one using the four-step method before checking the solution.
8. Exam Technique and Common Mistakes
This is where marks are most commonly dropped. The errors below are predictable — which means they are avoidable once you know what to watch for.
Finding maxima and minima with calculus comes down to one core skill: recognising that gradient zero means stationary, and that the second derivative's sign tells you which type. Master the four-step method, practise substituting carefully, and always state full coordinates with units where the context demands them.
Sources and content standards
Published by Revise Right. Use the official specification reference to check the requirements for your course. Content updated: 2026-03-14.
What should I know about Finding Maxima and Minima with Calculus?
There are two types of stationary point you need to know at GCSE: a maximum, where the curve peaks and then falls away, and a minimum, where the curve dips and then rises again. Both have gradient zero, so you find them the same way — but you classify them differently.
What should I learn from this Further Maths lesson?
By the end of this lesson, you should be able to Differentiate polynomial functions to find expressions for the gradient; Find stationary points by setting the derivative equal to zero and solving; Classify stationary points as maxima or minima using the second derivative; Apply calculus to find maximum and minimum values in context-based problems.
How should I revise Finding Maxima and Minima with Calculus?
Read each section, then close the notes and explain the idea from memory. Check your explanation against the page and finish with an exam question from Calculus.