How can the derivative be used to analyse curves and solve optimisation and rate problems?
Use the first and second derivatives to find stationary points, points of inflection, and to solve optimisation and related rates problems
A focused answer to the HSC Maths Advanced dot point on applications of differentiation. Stationary points, concavity and inflection, maxima and minima word problems, and related rates with worked examples.
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What this dot point is asking
NESA wants you to use derivatives to analyse functions and model real-world problems. The first derivative locates stationary points (where the tangent is horizontal); the second derivative tells you about concavity and identifies maxima, minima and inflection points. You then apply this to optimisation problems (largest area, least cost) and related rates (how two changing quantities are linked).
The answer
A stationary point of occurs where . To classify it, use one of two tests.
First derivative test. Check the sign of just before and just after the stationary point.
- Sign change from positive to negative: local maximum.
- Sign change from negative to positive: local minimum.
- No sign change: horizontal point of inflection.
Second derivative test. Evaluate at the stationary point.
- : local maximum (curve is concave down).
- : local minimum (curve is concave up).
- : test is inconclusive, fall back on the first derivative test.
Concavity and points of inflection
A point of inflection is where the concavity changes. Find candidates by solving , then confirm the concavity actually changes by checking the sign of either side.
Sketching a curve, stage by stage
A curve sketch is a procedure, and markers want the features labelled, not a freehand squiggle. Work through it in order for , a typical HSC cubic.
Stage 1, axes and intercepts. Find where the curve meets the axes. The -intercept is . For the -intercepts, solve , giving (a double root) and . Mark these on the axes.
Stage 2, locate the stationary points. Differentiate and solve . Here , so the stationary points are at and . Their coordinates are and . Plot them with a short horizontal tangent to show the zero gradient.
Stage 3, classify and find the inflection. Use the second derivative . At , , so is a local maximum; at , , so is a local minimum. Solving gives , and the concavity changes there, so is a point of inflection.
Stage 4, join the features. Draw a smooth curve rising to the maximum at the origin, falling through the inflection at to the minimum at , then rising through the -intercept at . Label every feature; that labelling is what earns the marks.
Tangents and normals
Many application questions ask for the equation of the tangent or the normal at a point. The tangent at has gradient and equation . The normal is perpendicular, so its gradient is (provided ). For at the point , so the tangent gradient is and the normal gradient is ; the two lines meet at right angles at .
Optimisation word problems
Follow a standard recipe.
- Draw a diagram and label variables.
- Write the quantity to optimise (area, volume, cost) as a function.
- Use the constraint to reduce to one variable.
- Differentiate and set to zero to find critical values.
- Confirm maximum or minimum using or a sign table.
- Check endpoints if the domain is restricted.
- State the final answer with units.
Related rates
When two quantities and both change with time and are linked by an equation, differentiate the equation with respect to (implicit differentiation). Substitute the given rate and the instantaneous value to solve for the unknown rate.
How exam questions ask about applications of differentiation
- "Find the stationary points and determine their nature." Solve , then classify each with or a sign table. "Nature" is the explicit instruction to classify.
- "Find the coordinates of any points of inflection." Solve and confirm the concavity changes. Give full coordinates, not just the -value.
- "Sketch the curve, showing all important features." Mark intercepts, stationary points (with their nature) and inflections, then draw a smooth curve through them.
- "Find the maximum / minimum value", or any "largest / least / cheapest" word problem. An optimisation question: reduce to one variable, differentiate, solve, justify, and state the answer with units.
- "At what rate is ... changing?" with two linked quantities. A related rates question: differentiate the link with respect to time and substitute the instantaneous values.
- "Find the equation of the tangent / normal at ...". Differentiate, evaluate the gradient at the point, and write the line equation; the normal gradient is the negative reciprocal.
Exam-style practice questions
Practice questions written in the style of NESA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
2021 HSC Q144 marksA rectangular paddock is to be fenced along three sides (one side borders a river and needs no fence). If 200 m of fencing is available, find the maximum area that can be enclosed.Show worked answer →
Let be the side perpendicular to the river and the side parallel to it.
Constraint: , so .
Area: .
Differentiate: . Set : .
Second derivative: , so this is a maximum.
. Maximum area m.
Markers reward defining variables, writing the constraint, expressing area in one variable, and confirming a maximum using or sign analysis.
2019 HSC Q133 marksWater is poured into a conical container at a constant rate of 4 cm/s. The cone has its vertex pointing down, with a base radius of 6 cm and a height of 12 cm. Find the rate at which the water level is rising when the water is 3 cm deep.Show worked answer →
By similar triangles, , so .
Volume of water: .
Differentiate with respect to : .
Substitute and : .
cm/s.
Markers expect the similar-triangle relation, volume in one variable, implicit differentiation in , and a final answer with units.
Practice questions
Original practice questions graded from foundation to exam level, each with a full worked solution. Try them before revealing the solution.
foundation2 marksFind the coordinates of the stationary point of and state its nature.Show worked solution →
Differentiate and set the gradient to zero. A stationary point occurs where :
Find the -coordinate. Substitute back into the curve:
so the stationary point is .
Classify it with the second derivative. Here , so the curve is concave up and the point is a minimum.
Marker's note: one mark for solving to get ; one mark for the full coordinates with the nature justified (by or the fact that the coefficient of is positive). Stating "minimum" without any justification does not earn the second mark.
foundation3 marksFor , find the coordinates of the stationary points and classify each using the second derivative test.Show worked solution →
Locate the stationary points. Solve :
Find both -coordinates.
giving the points and .
Classify with .
Marker's note: one mark for both -values from , one for the two coordinate pairs, one for classifying each correctly with . A candidate who finds but never classifies loses the final mark.
foundation3 marksFind the equation of the tangent to the curve at the point where .Show worked solution →
Find the point of contact. At , , so the tangent touches at .
Find the gradient there. Differentiate and substitute:
Write the line through with gradient .
Marker's note: one mark for the point , one for the gradient , one for a correctly arranged line equation. Using the gradient formula but forgetting to evaluate at (leaving ) is the usual slip.
core4 marksThe curve has two stationary points and one point of inflection. Find the coordinates of all three and state the nature of each stationary point.Show worked solution →
Stationary points: solve .
so the stationary points are and .
Classify with .
Point of inflection: solve . gives , and changes sign from negative to positive there, so the concavity genuinely changes. With , the inflection is at .
Marker's note: one mark for the stationary -values, one for their coordinates, one for classifying both with , one for the inflection point confirmed by a change in concavity (not merely ).
core4 marksThe diagram accompanying this question shows the graph of the gradient function of a function . The gradient graph is a parabola that cuts the -axis at and , lies below the -axis for , and lies above it elsewhere. (a) State the -values of the stationary points of . (b) Classify each stationary point of . (c) State the interval on which is decreasing.Show worked solution →
Read everything from the sign of , because is what the graph shows.
Part (a): stationary points sit where . The gradient graph crosses the axis at and , so has stationary points at and .
Part (b): classify by how changes sign. For the parabola is above the axis, so (rising); for it is below, so (falling); for it is above again, so .
- At , changes from to , so turns from increasing to decreasing: a local maximum.
- At , changes from to , so turns from decreasing to increasing: a local minimum.
Part (c): decreases where . That is exactly where the graph is below the axis, so is decreasing on .
Marker's note: the trap is treating the plotted parabola as itself. It is , so its -intercepts are the stationary points of and its sign gives increasing/decreasing. One mark each for (a) and (c); two for classifying both stationary points by the sign change in part (b).
core3 marksOil leaks onto water and spreads as a circular slick whose radius increases at a constant m/s. Find the rate at which the area of the slick is increasing at the instant its radius is m. Leave your answer in terms of .Show worked solution →
Write the link between the two changing quantities. The area of a circle of radius is
Differentiate with respect to time. Since both and change with , differentiate implicitly:
Substitute the instant. We are given and want the rate when :
Marker's note: one mark for and the chain-rule link , one for correct substitution of and , one for the answer with units. Differentiating with respect to only (forgetting the factor) is the standard error.
exam5 marksAn open box is made from a cm by cm square sheet of cardboard by cutting an equal square of side cm from each corner and folding up the four flaps. (a) Show that the volume is . (b) Find the value of that maximises the volume, justifying that your value gives a maximum. (c) Hence state the maximum volume.Show worked solution →
Part (a): build the volume. After cutting squares of side from each corner and folding up, the base is a square of side and the height is . So
valid for (the flaps must have positive height and the base positive side).
Part (b): differentiate using the product and chain rules.
Factor out :
Set : either (so , which gives and is rejected) or , giving .
Justify the maximum with a sign test. For just below , both factors are positive, so ; for just above , while , so . The gradient changes to , so gives a maximum.
Part (c): evaluate.
Marker's note: one mark for showing with a stated domain, two for differentiating and solving to (correctly rejecting ), one for the justification that it is a maximum (sign table or ), one for the final cm with units. Omitting the justification caps the answer even with the right .
exam5 marksAn open-top cylindrical tank must hold exactly cm. (a) Show that its surface area is . (b) Find the radius that minimises the surface area, justifying that it is a minimum. (c) Find the corresponding height.Show worked solution →
Part (a): eliminate the height using the fixed volume. An open-top cylinder has one circular base and a curved side:
The volume fixes :
Substitute to remove :
Part (b): differentiate and solve .
Justify the minimum with the second derivative.
so the curve is concave up and gives the minimum surface area.
Part (c): find the height.
Marker's note: one mark for with the volume substitution, one for reaching the shown form, one for solving to , one for the justification via , one for cm. A closed-cylinder formula () is a common misread of "open-top" and loses the first mark.
