β Unit 3: Further calculus and statistics
Topic 1: Further differentiation and applications
Use the first and second derivative to analyse the behaviour of a function (intervals of increase and decrease, stationary points and their nature, concavity and inflection), and apply the derivative to solve optimisation and rates of change problems in context
A focused answer to the QCE Mathematical Methods Unit 3 dot point on the applications of differentiation. Sets out how to use the first and second derivative to classify stationary points, walks through the optimisation method (model, constrain, differentiate, classify, check), and the related rates approach that QCAA examiners reward in PSMTs and EA extended response.
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What this dot point is asking
QCAA wants you to apply the first and second derivative to analyse function behaviour, solve optimisation problems in real-world contexts, and connect related rates of change through the chain rule. This dot point is the highest-yielding application of Topic 1 and is heavily examined in IA2 Paper 2, EA Paper 2 Section B, and many PSMT contexts.
The answer
The first derivative
The first derivative measures the instantaneous rate of change. Its sign reveals function behaviour.
- IMATH_2 on an interval: is increasing on that interval.
- IMATH_4 on an interval: is decreasing on that interval.
- IMATH_6 at a point: stationary point (the tangent is horizontal).
Stationary points come in three flavours:
- Local maximum. changes from positive to negative.
- Local minimum. changes from negative to positive.
- Stationary point of inflection. does not change sign (zero touch).
The second derivative
The second derivative measures the rate of change of , equivalent to the concavity of .
- IMATH_13 : is concave up (cups upward).
- IMATH_15 : is concave down (cups downward).
- IMATH_17 and changes sign: point of inflection.
The second-derivative test classifies stationary points quickly. At a stationary point where :
- IMATH_20 : local maximum.
- IMATH_21 : local minimum.
- IMATH_22 : inconclusive; fall back to a first-derivative sign chart.
The optimisation method
Every optimisation problem follows the same five steps.
- Identify and label. Draw a diagram. Define the variables. Identify what is to be maximised or minimised.
- Write the quantity to optimise. Express the target (, , , , etc.) as a function of one variable. Use any constraint to eliminate the others.
- Differentiate and set to zero. Find the stationary points by solving .
- Classify and check the domain. Use the second-derivative test (or a sign chart). Reject any stationary points that fall outside the physical domain.
- State the answer in context with units. Give both the optimising value of the variable and the optimised quantity.
Related rates of change
When two or more related quantities change with time, the chain rule links their rates.
For a related rates problem:
- Write the formula relating the quantities.
- Differentiate implicitly with respect to time (or use the chain rule).
- Substitute the instantaneous values, including the given rate.
- Solve for the unknown rate.
Common contexts: volume of a sphere or cylinder while being filled or drained, the angle of elevation as a height changes, the distance between two moving objects.
Worked examples
Curve sketching
For , find and classify all stationary points.
. Stationary at and .
. At : so local min, . At : so local max, .
Optimisation in context
A rectangle is inscribed under the curve in the first quadrant, with two sides on the axes. Find the dimensions of the rectangle of maximum area.
Let the upper-right corner sit at with . Area .
(reject negative).
, , so gives a local maximum.
Max area: square units. Dimensions: by .
Related rates (sliding ladder)
A 5 m ladder rests against a wall. The base slides away from the wall at 0.2 m/s. How fast is the top sliding down when the base is 3 m from the wall?
Let be the base distance and the height. .
Differentiate with respect to : , so .
At : . m/s.
The top is descending at m/s.
Common traps
Skipping the domain restriction. In the open-box example, must satisfy , otherwise the base is non-physical. The other stationary point () is mathematically valid but contextually impossible.
Forgetting to classify. A stationary point is not automatically a maximum. Use the second-derivative test or a sign chart.
Reporting the optimising variable instead of the optimal quantity. If the question asks "find the maximum volume", report the volume, not the value of . If it asks for both, give both.
Mixing up the chain rule in related rates. Always write the chain rule statement explicitly. Substituting numerical values before differentiating loses the relationship between rates.
Omitting units. PSMT and EA markers strip marks for missing or wrong units. Always state cm, cm, cm, m/s as appropriate.
Treating endpoints as stationary points. On a closed interval, the maximum may occur at an endpoint where the derivative is non-zero. Always evaluate the function at the endpoints as well.
In one sentence
Differentiation finds where a function is increasing, decreasing, stationary or inflecting, and applies through the optimisation method (model, constrain, differentiate, classify, check) and through related rates (chain rule with time) to almost every real-world problem in Unit 3.
Past exam questions, worked
Real questions from past QCAA papers on this dot point, with our answer explainer.
2023 QCAA-style P26 marksA rectangular sheet of cardboard is 30 cm by 20 cm. Squares of side $x$ cm are cut from each corner and the sides folded up to form an open-topped box. (a) Show that the volume of the box is $V(x) = x (30 - 2x) (20 - 2x)$. (b) Find the value of $x$ that maximises the volume, and state the maximum volume.Show worked answer β
A 6-mark optimisation answer needs the modelling step, the derivative, the stationary point, the nature test, and the contextual answer.
(a) After cutting and folding, the base measures by and the height is . So .
(b) Expand for differentiation: .
.
Set : , so .
, so or .
Domain: (otherwise the base has negative width). Reject . So cm.
Nature check: . At , , so this is a local maximum.
Maximum volume: cm.
Markers reward the volume model, the derivative, the domain restriction (often missed), the second-derivative classification, and the substituted value with units.
2022 QCAA-style P24 marksA spherical balloon is being inflated so that its radius increases at a constant rate of 0.5 cm/s. Find the rate at which the volume is increasing when the radius is 8 cm. (Volume of a sphere: $V = \frac{4}{3} \pi r^3$.)Show worked answer β
A 4-mark related rates answer needs the chain rule setup, the substituted values, and the final rate with units.
Given: cm/s, , find when .
.
Chain rule: .
At : cm/s.
Markers reward the chain rule statement, the substitution, and the answer with both exact form () and a decimal approximation with units.
Related dot points
- Differentiate exponential and logarithmic functions, including compositions of the form $e^{f(x)}$ and $\ln(f(x))$, and apply the derivatives to model and analyse rates of change
A focused answer to the QCE Mathematical Methods Unit 3 dot point on differentiating exponential and logarithmic functions. Covers the derivatives of $e^x$, $a^x$, $\ln x$ and $\log_a x$, the chain rule generalisations $e^{f(x)}$ and $\ln(f(x))$, and the application to rates of change, with worked Paper 1 and Paper 2 examples.
- Differentiate trigonometric functions, including compositions of the form $\sin(f(x))$, $\cos(f(x))$ and $\tan(f(x))$, working in radians
A focused answer to the QCE Mathematical Methods Unit 3 dot point on differentiating trigonometric functions. Sets out the standard derivatives of $\sin x$, $\cos x$ and $\tan x$ in radians, the chain rule generalisations, why radian measure is required for calculus, and the exact-value and Paper 1 fluency QCAA examiners reward in IA2 and the EA.
- Apply the product, quotient and chain rules, including in combination, to differentiate functions built from polynomial, exponential, logarithmic and trigonometric components
A focused answer to the QCE Mathematical Methods Unit 3 dot point on the product, quotient and chain rules. Sets out each rule, walks through worked combinations of polynomial, exponential, logarithmic and trigonometric functions, and identifies the order-of-operations and simplification traps that QCAA examiners reward in Paper 1 short response.
- Apply the definite integral to find the area under a curve, the area between two curves, the average value of a function, and to solve kinematics problems involving displacement, velocity and acceleration
A focused answer to the QCE Mathematical Methods Unit 3 dot point on the applications of integration. Covers area under a curve, area between two curves (including curves that cross), the average value of a function, and the kinematics chain (integrate acceleration for velocity, integrate velocity for displacement), with worked Paper 2 and PSMT-style examples.