Level 3 Differentiation Walkthrough
2023 NCEA Level 3 Differentiation Question 1(e)
2023 Paper
Question
The graph of
is shown, and the total shaded area between the curve and the \(x\)-axis from \(x=0\) to \(x=2m\) is
A right-angled triangle is constructed with one vertex at \((0,0)\) and another on the curve.
Show that the maximum area of such a triangle is \(\frac{3}{8}\) of the total shaded area.
You must use calculus and show any derivatives that you need to find when solving this problem. You do not have to prove that the area you found is a maximum.
First walkthrough idea
Hint to try first
If the point on the curve is \((x,y)\), then the triangle area is \(\frac{1}{2}xy\).
Step 1
Write the triangle area in terms of \(x\)
Start from \(\frac{1}{2}xy\), then substitute \(y=x(x-2m)^2\).
Show the first step’s working
Start from \(\frac{1}{2}xy\), then substitute \(y=x(x-2m)^2\).
Key result
\[ A=\frac{x^2}{2}(x-2m)^2 \]Walkthrough overview
What this question practises
This 2023 walkthrough is part of AS91578 — Apply differentiation methods in solving problems.
Method: Maximising a triangle area on the curve \(y=x(x-2m)^2\).
This is Question 1(e) from the 2023 NCEA Level 3 Differentiation paper for AS91578 — Apply differentiation methods in solving problems. Use the guided hints to practise the method before revealing the full working.
Calc.nz is an independent learning resource. Compare questions, diagrams, and assessment information with the official NZQA resources for AS91578.
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Learning summary
Review the method, not only the answer
This walkthrough helps you practise maximising a triangle area on the curve \(y=x(x-2m)^2\). Use the hints to plan the method, then repeat the question without hints and check each step.
Common mistake to avoid
Finding a stationary value is only part of an optimisation argument; justify that it is the required maximum and respect the domain.
Continue practising
- All 2023 Differentiation walkthroughs
- All AS91578 Differentiation years
- Practise more questions using this skill: Stationary points and optimisation