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NotesMath AA HLTopic 5.14Optimisation (HL contexts)
Back to Math AA HL Topics
5.14.33 min read

Optimisation (HL contexts) (Math AA HL)

IB Mathematics: Analysis and Approaches • Unit 5

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Contents

  • Reduce to one variable, then differentiate
  • Justify max or min — then a real container
The optimum is where the gradient is zero: Imagine all the open-top boxes you could fold from one sheet of card. As the base width changes, the volume rises, peaks, then falls — the biggest box sits exactly where the volume curve is flat, i.e. where the derivative is 0.

The recipe:

1. Write the quantity to optimise (volume, area, cost, distance…).

2. Use any constraint to get it as a function of one variable.

3. Differentiate and set the derivative to 0; solve for the variable.

4. Justify it's a max (or min) and answer the question asked.

IB-style question — open box of maximum volume

An open box is made by cutting squares of side x from the corners of a 12 cm by 12 cm sheet and folding up the sides.

Find the value of x that maximises the volume.

Step by step

  1. Each fold leaves a base of (12 − 2x) by (12 − 2x) and height x. Write the volume as a function of x.
  2. Expand so it's easy to differentiate.
  3. Differentiate and set to 0 (the optimum is a flat point).
  4. Divide by 12 and factor.
  5. x = 6 makes the base 0 (impossible), so take x = 2.

Final answer

x = 2 cm gives the maximum volume (x = 6 is rejected — the base would vanish).

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Setting the derivative to 0 isn't enough — say WHY it's a max or min: A stationary point could be a max, a min, or neither. The IB awards a mark for justifying the nature. Two reliable ways:

• Second-derivative test: if f″ < 0 at the point → maximum; if f″ > 0 → minimum.

• Sign test: check the sign of f′ just before and just after (+ then − → max; − then + → min).

For a real container, the volume is usually fixed (the constraint) and you minimise the surface area (material/cost).

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IB-style question — cheapest cylindrical can

A closed cylindrical can must hold 1000 cm³. Its surface area is A = 2πr² + 2000/r.

Find the radius r that minimises the surface area, and justify it is a minimum.

Step by step

  1. Differentiate A with respect to r (write 2000/r as 2000r⁻¹).
  2. Set the derivative to 0 for the stationary point.
  3. Cube root.
  4. Justify: the second derivative is positive, so it's a minimum.

Final answer

r = ∛(500/π) ≈ 5.42 cm; since A″ > 0 it is a minimum.

IB Exam Questions on Optimisation (HL contexts)

Practice with IB-style questions filtered to Topic 5.14.3. Get instant AI feedback on every answer.

Practice Topic 5.14.3 QuestionsBrowse All Math AA HL Topics

How Optimisation (HL contexts) Appears in IB Exams

Examiners use specific command terms when asking about this topic. Here's what to expect:

Define

Give the precise meaning of key terms related to Optimisation (HL contexts).

AO1
Describe

Give a detailed account of processes or features in Optimisation (HL contexts).

AO2
Explain

Give reasons WHY — cause and effect within Optimisation (HL contexts).

AO3
Evaluate

Weigh strengths AND limitations of approaches in Optimisation (HL contexts).

AO3
Discuss

Present arguments FOR and AGAINST with a balanced conclusion.

AO3

See the full IB Command Terms guide →

Related Math AA HL Topics

Continue learning with these related topics from the same unit:

5.1.1Derivative as gradient
5.10.1Reverse chain rule
5.10.2Substitution
5.11.1Definite integrals
View all Math AA HL topics

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Command terms, paper structure, and mark-scheme tips for Math AA HL

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5.14.2Related rates of change
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The HL derivative table5.15.1

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