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Optimisation and rates of change: VCE Math Methods Unit 3

Syllabus dot point

“Applications of differentiation to optimisation problems (maximising or minimising a quantity subject to constraints) and to rates of change in modelled real-world contexts”

9 min read

Quick answer

Optimisation and rates of change apply differentiation in real-world contexts by writing the quantity of interest as a single-variable function (using the constraint), differentiating and solving for stationary points, classifying with the second derivative, checking the domain endpoints, and stating the final answer with units.

Jump to a section
  1. What this dot point is asking
  2. Rates of change
  3. Optimisation: the six-step recipe
  4. Examples in context
  5. Try this
  6. Exam-style questions

What this dot point is asking

VCAA wants you to apply differentiation to real-world problems where a quantity has to be maximised or minimised, or where the rate at which something is changing must be found. Optimisation is almost guaranteed in Paper 2 Section B and shows up regularly in SACs.

Rates of change

Given a modelled quantity Q(t)Q(t) as a function of time, the instantaneous rate of change is dQdt\frac{dQ}{dt}. Read carefully whether the question asks for an average rate (Q(b)−Q(a)b−a\frac{Q(b) - Q(a)}{b - a}) or an instantaneous rate at a specific time (Q′(t)Q'(t)).

Sign conventions:

  • Positive rate: QQ is increasing.
  • Negative rate: QQ is decreasing.
  • Zero rate: QQ has a stationary value.

Always state units (e.g. metres per second, dollars per item, degrees per minute) when interpreting the answer in context.

Worked example

A balloon's volume in cubic centimetres at time tt seconds is V(t)=100+30t−t3V(t) = 100 + 30 t - t^3 for t∈[0,30]t \in [0, \sqrt{30}].

The rate of change at t=2t = 2 is V′(t)=30−3t2V'(t) = 30 - 3 t^2, so V′(2)=30−12=18V'(2) = 30 - 12 = 18 cubic centimetres per second (positive, so the balloon is inflating).

The volume is maximum when V′(t)=0V'(t) = 0: 3t2=303 t^2 = 30, t=10≈3.16t = \sqrt{10} \approx 3.16 seconds. At that point V(10)=100+3010−1010=100+2010V(\sqrt{10}) = 100 + 30 \sqrt{10} - 10 \sqrt{10} = 100 + 20 \sqrt{10} cubic centimetres.

Optimisation: the six-step recipe

Optimisation problems all follow the same structure. The recipe:

  1. Read the problem and identify the quantity to be optimised. Volume, area, cost, profit, distance. Call it QQ.
  2. Write QQ as a function of the variables, using a diagram if helpful. Label every dimension.
  3. Use any constraint to reduce QQ to a function of one variable. Substitute to eliminate the others.
  4. Identify the valid domain based on physical or geometric constraints (lengths must be positive, etc.).
  5. Differentiate, set Q′(x)=0Q'(x) = 0, and solve to find candidate stationary points.
  6. Classify and check. Use the second derivative test or sign analysis to confirm max or min. Compare with endpoints if the domain is closed. State the final answer with units.

Endpoint check

If the domain is a closed interval [a,b][a, b], the global max or min might occur at an endpoint, not at a stationary point. Always compare Q(a)Q(a), Q(b)Q(b), and QQ at each interior stationary point.

Worked example: minimum surface area

A closed cylindrical can is to hold 10001000 cm3^3. Find the radius and height that minimise the surface area.

Step 1
Optimise surface area SS.
Step 2
S=2πr2+2πrhS = 2 \pi r^2 + 2 \pi r h (two circular ends, plus lateral surface).
Step 3
Constraint: πr2h=1000\pi r^2 h = 1000, so h=1000πr2h = \frac{1000}{\pi r^2}.

Substitute: S(r)=2πr2+2πr⋅1000πr2=2πr2+2000rS(r) = 2 \pi r^2 + 2 \pi r \cdot \frac{1000}{\pi r^2} = 2 \pi r^2 + \frac{2000}{r}.

Step 4
Domain: r>0r > 0.
Step 5
S′(r)=4πr−2000r2S'(r) = 4 \pi r - \frac{2000}{r^2}. Set to zero: 4πr=2000r24 \pi r = \frac{2000}{r^2}, so r3=500πr^3 = \frac{500}{\pi} and r=500π3≈5.42r = \sqrt[3]{\frac{500}{\pi}} \approx 5.42 cm.
Step 6
S′′(r)=4π+4000r3>0S''(r) = 4 \pi + \frac{4000}{r^3} > 0, so this is a minimum. h=1000πr2≈10.83h = \frac{1000}{\pi r^2} \approx 10.83 cm.

Notice h=2rh = 2r at the minimum, a standard result for a closed cylinder.

Worked example: maximum revenue

A small business sells xx units per week at a price p=50−0.1xp = 50 - 0.1 x dollars. Revenue is R(x)=xp=x(50−0.1x)=50x−0.1x2R(x) = x p = x(50 - 0.1 x) = 50 x - 0.1 x^2.

R′(x)=50−0.2xR'(x) = 50 - 0.2 x. Set to zero: x=250x = 250.

R′′(x)=−0.2<0R''(x) = -0.2 < 0, so this is a maximum.

Maximum revenue =R(250)=50(250)−0.1(62500)=12500−6250=6250= R(250) = 50(250) - 0.1(62500) = 12500 - 6250 = 6250 dollars.

Common Paper 2 traps
Forgetting to reduce to one variable
You cannot differentiate a function of two variables in Math Methods. Always use the constraint to eliminate one variable before differentiating.
Ignoring the domain
Negative radii, negative populations, or fractional people are not feasible. State the valid domain explicitly and check both interior critical points and endpoints.
Skipping the classification step
A stationary point might be a maximum, minimum or stationary point of inflection. The second derivative test confirms which.
Wrong units in the final answer
Markers expect units (cubic centimetres, dollars per week, metres per second). Missing units is a routine 1-mark penalty.
Confusing rate of change with the function itself
"How fast is QQ changing?" asks for dQdt\frac{dQ}{dt}, not Q(t)Q(t).

Examples in context

Example 1. Maximising box volume. A box with a square base of side xx and no lid is built from 300 cm2300 \text{ cm}^2 of material. The surface area is x2+4xh=300x^2 + 4xh = 300, so h=300−x24xh = \frac{300 - x^2}{4x}. The volume is V=x2h=x(300−x2)4=75x−x34V = x^2 h = \frac{x(300 - x^2)}{4} = 75x - \frac{x^3}{4}. Then V′(x)=75−3x24=0V'(x) = 75 - \frac{3x^2}{4} = 0 gives x2=100x^2 = 100, so x=10x = 10 cm. Since V′′(x)=−3x2<0V''(x) = -\frac{3x}{2} < 0, this is a maximum: V=750−250=500 cm3V = 750 - 250 = 500 \text{ cm}^3.

Example 2. Rate of cooling. A cup of tea cools as T(t)=25+70e−0.04tT(t) = 25 + 70e^{-0.04t} degrees, tt in minutes. The cooling rate is T′(t)=−2.8e−0.04tT'(t) = -2.8e^{-0.04t} degrees per minute. At t=15t = 15, T′(15)=−2.8e−0.6=−2.8×0.5488=−1.54T'(15) = -2.8e^{-0.6} = -2.8 \times 0.5488 = -1.54 degrees per minute, the instantaneous rate of fall.

Try this

Q1. A rectangle of perimeter 2424 cm has one side xx. Find xx that maximises the area. [3 marks]

  • Cue. A=x(12−x)A = x(12 - x); A′(x)=12−2x=0⇒x=6A'(x) = 12 - 2x = 0 \Rightarrow x = 6 (a 6×66 \times 6 square).

Q2. A particle's position is s(t)=t3−6t2+9ts(t) = t^3 - 6t^2 + 9t m. Find its velocity at t=1t = 1. [3 marks]

  • Cue. s′(t)=3t2−12t+9s'(t) = 3t^2 - 12t + 9; s′(1)=3−12+9=0s'(1) = 3 - 12 + 9 = 0 m/s.

Q3. A population is P(t)=1000e0.03tP(t) = 1000e^{0.03t}. Find the rate of growth at t=10t = 10. [3 marks]

  • Cue. P′(t)=30e0.03tP'(t) = 30e^{0.03t}; P′(10)=30e0.3=30×1.3499=40.5P'(10) = 30e^{0.3} = 30 \times 1.3499 = 40.5 per unit time.

Exam-style questions

Questions in the style of VCAA exam questions on this dot point, each with a worked answer. They are written by ExamExplained unless tagged "Past paper"; the year shows the paper a question is modelled on.

2023 VCAA-style (Exam 2)5 marks
A farmer wants to enclose a rectangular paddock using 400 metres of fencing, with one side lying along a straight river that needs no fence. Find the maximum area that can be enclosed and the dimensions of the paddock.
Show worked answer →

Let xx be the side perpendicular to the river and yy be the side parallel to the river.

Constraint: 2x+y=4002x + y = 400, so y=400−2xy = 400 - 2x.

Area: A(x)=xy=x(400−2x)=400x−2x2A(x) = x y = x(400 - 2x) = 400 x - 2 x^2 for x∈[0,200]x \in [0, 200].

Differentiate: A′(x)=400−4xA'(x) = 400 - 4x. Set A′(x)=0A'(x) = 0: x=100x = 100.

Second derivative: A′′(x)=−4<0A''(x) = -4 < 0, confirming a maximum.

Domain check: x=100x = 100 is inside (0,200)(0, 200). At endpoints A(0)=A(200)=0A(0) = A(200) = 0, so the maximum is interior.

y=400−200=200y = 400 - 200 = 200. Maximum area =100×200=20000= 100 \times 200 = 20000 square metres.

Markers reward variable definition, constraint, single-variable area function, the second derivative classification, endpoint check, and final answer with units.

2024 VCAA-style (Exam 2)3 marks
The temperature inside an oven (in degrees Celsius) is modelled by T(t)=180+20sin⁡ ⁣(πt6)T(t) = 180 + 20 \sin\!\left(\frac{\pi t}{6}\right) where tt is time in minutes. Find the rate at which the temperature is changing at t=2t = 2 minutes.
Show worked answer →

Differentiate: T′(t)=20⋅π6cos⁡ ⁣(πt6)=10π3cos⁡ ⁣(πt6)T'(t) = 20 \cdot \frac{\pi}{6} \cos\!\left(\frac{\pi t}{6}\right) = \frac{10 \pi}{3} \cos\!\left(\frac{\pi t}{6}\right).

At t=2t = 2: T′(2)=10π3cos⁡ ⁣(π3)=10π3⋅12=5π3T'(2) = \frac{10 \pi}{3} \cos\!\left(\frac{\pi}{3}\right) = \frac{10 \pi}{3} \cdot \frac{1}{2} = \frac{5 \pi}{3} degrees per minute.

The temperature is rising at 5π3\frac{5 \pi}{3} degrees Celsius per minute, approximately 5.245.24 degrees per minute.

Markers reward correct chain-rule derivative, evaluation at t=2t = 2, exact form, and units.

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