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

Optimisation (HL contexts)

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).

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).

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)

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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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5.14.2Related rates of change
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