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Applications of differentiation: stationary points, inflection, optimisation and related rates

Syllabus dot point

“Use the first and second derivatives to find stationary points, points of inflection, and to solve optimisation and related rates problems”

HSCMaths AdvancedYear 12: Calculus14 min read

Quick answer

The first and second derivatives locate and classify stationary points and inflection, and underpin optimisation and related rates problems by linking the rates at which two quantities change.

Jump to a section
  1. What this dot point is asking
  2. The answer
  3. Exam-style questions
  4. Practice questions

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).

Note

Imagine walking over a hill. The slope of the ground under your feet is the first derivative, and it is exactly zero at the very top and at the very bottom of a dip, which is how you find the peaks and valleys of a graph without carefully drawing it. The second derivative describes the shape of the ground: is it curving like the inside of a bowl (a valley, a minimum) or like the top of a dome (a hilltop, a maximum)? Optimisation is just the question "where is the highest point?" dressed up in a real situation, like finding the box that holds the most for the least cardboard. Related rates ask how fast one thing changes when another does, like how quickly a puddle's edge races outwards as its area grows.

The answer

Stationary points: local maximum, minimum and inflection A curve with three stationary points labelled. The first is a local maximum where the curve turns from increasing to decreasing. The second is a local minimum where it turns from decreasing to increasing. The third is a horizontal point of inflection where the tangent is horizontal but the curve continues in the same direction. x y local max local min horizontal inflection

A stationary point of f(x)f(x) occurs where f′(x)=0f'(x) = 0. To classify it, use one of two tests.

First derivative test. Check the sign of f′(x)f'(x) 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 f′′(x)f''(x) at the stationary point.

  • f′′(x)<0f''(x) < 0: local maximum (curve is concave down).
  • f′′(x)>0f''(x) > 0: local minimum (curve is concave up).
  • f′′(x)=0f''(x) = 0: test is inconclusive, fall back on the first derivative test.
Key fact

Setting f′(x)=0f'(x) = 0 only locates stationary points; it never classifies them. You must then say which kind each is. The fastest test is the second derivative: f′′(x)<0f''(x) < 0 means a local maximum (concave down), f′′(x)>0f''(x) > 0 means a local minimum (concave up). If f′′(x)=0f''(x) = 0 the test is inconclusive and you fall back on a sign table of f′(x)f'(x) either side. An unclassified stationary point loses the classification mark every time.

Concavity and points of inflection

A point of inflection is where the concavity changes. Find candidates by solving f′′(x)=0f''(x) = 0, then confirm the concavity actually changes by checking the sign of f′′f'' 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 y=x3−3x2y = x^3 - 3x^2, a typical HSC cubic.

Stage 1, axes and intercepts. Find where the curve meets the axes. The yy-intercept is f(0)=0f(0) = 0. For the xx-intercepts, solve x3−3x2=x2(x−3)=0x^3 - 3x^2 = x^2(x - 3) = 0, giving x=0x = 0 (a double root) and x=3x = 3. Mark these on the axes.

Stage 1: set up axes and mark the intercepts A pair of axes. The cubic y equals x cubed minus three x squared has x-intercepts where x cubed minus three x squared equals zero, namely at x equals 0 and x equals 3, both marked on the x-axis. The y-intercept is at the origin. x y x = 3 x = 0 solve f(x) = 0 for the x-intercepts 1

Stage 2, locate the stationary points. Differentiate and solve f′(x)=0f'(x) = 0. Here f′(x)=3x2−6x=3x(x−2)f'(x) = 3x^2 - 6x = 3x(x - 2), so the stationary points are at x=0x = 0 and x=2x = 2. Their coordinates are (0,0)(0, 0) and (2,−4)(2, -4). Plot them with a short horizontal tangent to show the zero gradient.

Stage 2: locate the stationary points The same axes. Solving f prime of x equals 3x squared minus 6x equals zero gives x equals 0 and x equals 2. These stationary points are plotted at the origin and at the point 2, negative 4, each with a short horizontal dashed tangent showing a zero gradient. x y (0, 0) (2, -4) f '(x) = 3x(x - 2) = 0 at x = 0, 2 2

Stage 3, classify and find the inflection. Use the second derivative f′′(x)=6x−6f''(x) = 6x - 6. At x=0x = 0, f′′(0)=−6<0f''(0) = -6 < 0, so (0,0)(0, 0) is a local maximum; at x=2x = 2, f′′(2)=6>0f''(2) = 6 > 0, so (2,−4)(2, -4) is a local minimum. Solving f′′(x)=0f''(x) = 0 gives x=1x = 1, and the concavity changes there, so (1,−2)(1, -2) is a point of inflection.

Stage 3: classify each stationary point and find the inflection The same points. The second derivative f double prime of x equals 6x minus 6. At x equals 0 it is negative six, so the origin is a local maximum. At x equals 2 it is positive six, so the point 2, negative 4 is a local minimum. f double prime equals zero at x equals 1, giving a point of inflection at 1, negative 2. x y max min inflection f ''(0) < 0 max, f ''(2) > 0 min f ''(x) = 0 at x = 1: inflection 3

Stage 4, join the features. Draw a smooth curve rising to the maximum at the origin, falling through the inflection at (1,−2)(1, -2) to the minimum at (2,−4)(2, -4), then rising through the xx-intercept at x=3x = 3. Label every feature; that labelling is what earns the marks.

Stage 4: join the features into the finished curve The finished cubic y equals x cubed minus three x squared, drawn in the accent colour, rising to the local maximum at the origin, falling through the inflection at 1, negative 2, down to the local minimum at 2, negative 4, then rising again through the x-intercept at x equals 3. x y y = x³ - 3x² 4

Tangents and normals

Many application questions ask for the equation of the tangent or the normal at a point. The tangent at x=ax = a has gradient m=f′(a)m = f'(a) and equation y−f(a)=f′(a)(x−a)y - f(a) = f'(a)(x - a). The normal is perpendicular, so its gradient is −1f′(a)-\frac{1}{f'(a)} (provided f′(a)≠0f'(a) \neq 0). For y=x2y = x^2 at the point P(1,1)P(1, 1), f′(x)=2xf'(x) = 2x so the tangent gradient is 22 and the normal gradient is −12-\tfrac{1}{2}; the two lines meet at right angles at PP.

Tangent and normal to a curve at a point The parabola y equals x squared with the point P at 1, 1 marked. The tangent at P, drawn as the heavier accent line, has gradient 2. The normal at P, the thinner accent line, is perpendicular to the tangent and has gradient negative one half. A small square marks the right angle between them. x y P(1, 1) tangent, m = 2 normal, m = -1/2

Optimisation word problems

Follow a standard recipe.

  1. Draw a diagram and label variables.
  2. Write the quantity to optimise (area, volume, cost) as a function.
  3. Use the constraint to reduce to one variable.
  4. Differentiate and set to zero to find critical values.
  5. Confirm maximum or minimum using f′′f'' or a sign table.
  6. Check endpoints if the domain is restricted.
  7. State the final answer with units.

Related rates

When two quantities xx and yy both change with time and are linked by an equation, differentiate the equation with respect to tt (implicit differentiation). Substitute the given rate and the instantaneous value to solve for the unknown rate.

Exam technique

Optimisation answers follow a script the markers expect: define your variable, write the quantity to optimise, use the constraint to get it in one variable, differentiate, solve =0=0, then justify the maximum or minimum with f′′f'' or a sign table, and finish with units. The justification line is worth a mark on its own, so never skip it. In related rates, write down which rate you are given and which you want, differentiate the link with respect to tt, and only substitute numbers at the very end - substituting too early is the classic way to lose the method.

How exam questions ask about applications of differentiation

  • "Find the stationary points and determine their nature." Solve f′(x)=0f'(x) = 0, then classify each with f′′f'' or a sign table. "Nature" is the explicit instruction to classify.
  • "Find the coordinates of any points of inflection." Solve f′′(x)=0f''(x) = 0 and confirm the concavity changes. Give full coordinates, not just the xx-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.
Optimisation: least metal for a fixed volume

A closed cylindrical can must hold V=500V = 500 cm3^3. Find the radius rr and height hh that minimise the surface area (the amount of metal used).

Write the quantity you want to minimise: A closed cylinder has two circular ends and a curved side, so its surface area is

S=2πr2⏟two ends+2πrh⏟curved side.S = \underbrace{2\pi r^2}_{\text{two ends}} + \underbrace{2\pi r h}_{\text{curved side}}.

This has two variables (rr and hh), so we cannot differentiate yet. First we need SS in terms of one variable.

Use the fixed volume to eliminate hh: The volume is fixed, which links rr and hh:

πr2h=500⇒h=500πr2.\pi r^2 h = 500 \quad\Rightarrow\quad h = \frac{500}{\pi r^2}.

Substituting that into SS removes hh:

S(r)=2πr2+2πr⋅500πr2=2πr2+1000r.S(r) = 2\pi r^2 + 2\pi r\cdot\frac{500}{\pi r^2} = 2\pi r^2 + \frac{1000}{r}.

Now SS depends on rr alone, so calculus applies.

Differentiate and solve S′(r)=0S'(r) = 0: A minimum can only occur where the gradient is zero:

S′(r)=4πr−1000r2=0⇒r3=250π⇒r=250π3≈4.30 cm.S'(r) = 4\pi r - \frac{1000}{r^2} = 0 \quad\Rightarrow\quad r^3 = \frac{250}{\pi} \quad\Rightarrow\quad r = \sqrt[3]{\tfrac{250}{\pi}} \approx 4.30\text{ cm}.

Confirm it is a minimum, not a maximum: A stationary point could be either, so test the concavity with the second derivative:

S′′(r)=4π+2000r3.S''(r) = 4\pi + \frac{2000}{r^3}.

This is positive for every r>0r > 0, so the curve is concave up, and the surface area is least here. (That makes sense: a tall thin can and a short wide can both waste metal, so the best sits between them.)

Find hh and state the answer:

h=500πr2≈8.60 cm.h = \frac{500}{\pi r^2} \approx 8.60\text{ cm}.

The can uses the least metal when r≈4.30r \approx 4.30 cm and h≈8.60h \approx 8.60 cm.

Related rates: a sliding ladder

A 55 m ladder leans against a vertical wall. Its base is pulled away from the wall at 0.20.2 m/s. How fast is the top sliding down when the base is 33 m from the wall?

Name the changing quantities and link them: Let xx be the base's distance from the wall and yy the height of the top, both changing with time tt. The ladder length never changes, so Pythagoras links them at every instant:

x2+y2=52=25.x^2 + y^2 = 5^2 = 25.

Differentiate the link with respect to time: Since xx and yy both depend on tt, differentiate implicitly with respect to tt:

2xdxdt+2ydydt=0⇒dydt=−xy⋅dxdt.2x\frac{dx}{dt} + 2y\frac{dy}{dt} = 0 \quad\Rightarrow\quad \frac{dy}{dt} = -\frac{x}{y}\cdot\frac{dx}{dt}.

This is the "related rates" equation: it ties the rate we know (dxdt\frac{dx}{dt}) to the rate we want (dydt\frac{dy}{dt}).

Find the missing value at this instant: We have x=3x = 3 and dxdt=0.2\frac{dx}{dt} = 0.2, but we still need yy when x=3x = 3. From the link:

y=25−32=16=4 m.y = \sqrt{25 - 3^2} = \sqrt{16} = 4\text{ m}.

Substitute, then read the sign:

dydt=−34×0.2=−0.15 m/s.\frac{dy}{dt} = -\frac{3}{4}\times 0.2 = -0.15\text{ m/s}.

The negative sign means yy is decreasing: the top slides down the wall at 0.150.15 m/s.

Common traps
Forgetting to classify the stationary point
Setting f′(x)=0f'(x) = 0 only finds candidates. You must justify whether each is a maximum, minimum or horizontal inflection.
Assuming f′′(x)=0f''(x) = 0 guarantees an inflection
The concavity must actually change. For example, f(x)=x4f(x) = x^4 has f′′(0)=0f''(0) = 0 but no inflection there.
Not eliminating one variable in optimisation
You cannot differentiate a function of two variables in Maths Advanced. Use the constraint to reduce to one.
Ignoring units and domain
A negative radius is meaningless. Always check the feasible domain and state units in the final answer.
Confusing dydx\frac{dy}{dx} with dydt\frac{dy}{dt} in related rates
When time is the underlying variable, every quantity must be differentiated with respect to tt.

Exam-style questions

Questions in the style of NESA 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.

HSC-style4 marks
A 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 xx be the side perpendicular to the river and yy the side parallel to it.

Constraint: 2x+y=2002x + y = 200, so y=200−2xy = 200 - 2x.

Area: A(x)=xy=x(200−2x)=200x−2x2A(x) = x y = x(200 - 2x) = 200 x - 2 x^2.

Differentiate: A′(x)=200−4xA'(x) = 200 - 4x. Set A′(x)=0A'(x) = 0: x=50x = 50.

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

y=200−100=100y = 200 - 100 = 100. Maximum area =50×100=5000= 50 \times 100 = 5000 m2^2.

Markers reward defining variables, writing the constraint, expressing area in one variable, and confirming a maximum using A′′A'' or sign analysis.

HSC-style3 marks
Water is poured into a conical container at a constant rate of 4 cm3^3/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, rh=612=12\frac{r}{h} = \frac{6}{12} = \frac{1}{2}, so r=h2r = \frac{h}{2}.

Volume of water: V=13πr2h=13π(h2)2h=πh312V = \frac{1}{3} \pi r^2 h = \frac{1}{3} \pi \left(\frac{h}{2}\right)^2 h = \frac{\pi h^3}{12}.

Differentiate with respect to tt: dVdt=πh24⋅dhdt\frac{dV}{dt} = \frac{\pi h^2}{4} \cdot \frac{dh}{dt}.

Substitute dVdt=4\frac{dV}{dt} = 4 and h=3h = 3: 4=9π4⋅dhdt4 = \frac{9 \pi}{4} \cdot \frac{dh}{dt}.

dhdt=169π≈0.566\frac{dh}{dt} = \frac{16}{9 \pi} \approx 0.566 cm/s.

Markers expect the similar-triangle relation, volume in one variable, implicit differentiation in tt, 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 marks
Find the coordinates of the stationary point of y=x2−8x+5y = x^2 - 8x + 5 and state its nature.
Show worked solution →

Differentiate and set the gradient to zero. A stationary point occurs where dydx=0\frac{dy}{dx} = 0:

dydx=2x−8=0⇒x=4.\frac{dy}{dx} = 2x - 8 = 0 \quad\Rightarrow\quad x = 4.

Find the yy-coordinate. Substitute x=4x = 4 back into the curve:

y=42−8(4)+5=16−32+5=−11,y = 4^2 - 8(4) + 5 = 16 - 32 + 5 = -11,

so the stationary point is (4,−11)(4, -11).

Classify it with the second derivative. Here d2ydx2=2>0\frac{d^2y}{dx^2} = 2 > 0, so the curve is concave up and the point is a minimum.

Marker's note: one mark for solving dydx=0\frac{dy}{dx} = 0 to get x=4x = 4; one mark for the full coordinates (4,−11)(4, -11) with the nature justified (by y′′>0y'' > 0 or the fact that the coefficient of x2x^2 is positive). Stating "minimum" without any justification does not earn the second mark.

foundation3 marks
For f(x)=x3−3xf(x) = x^3 - 3x, find the coordinates of the stationary points and classify each using the second derivative test.
Show worked solution →

Locate the stationary points. Solve f′(x)=0f'(x) = 0:

f′(x)=3x2−3=3(x2−1)=3(x−1)(x+1)=0⇒x=1 or x=−1.f'(x) = 3x^2 - 3 = 3(x^2 - 1) = 3(x - 1)(x + 1) = 0 \quad\Rightarrow\quad x = 1 \text{ or } x = -1.

Find both yy-coordinates.

f(1)=1−3=−2,f(−1)=−1+3=2,f(1) = 1 - 3 = -2, \qquad f(-1) = -1 + 3 = 2,

giving the points (1,−2)(1, -2) and (−1,2)(-1, 2).

Classify with f′′(x)=6xf''(x) = 6x.

f′′(1)=6>0⇒(1,−2) is a local minimum;f′′(−1)=−6<0⇒(−1,2) is a local maximum.f''(1) = 6 > 0 \Rightarrow (1, -2) \text{ is a local minimum}; \qquad f''(-1) = -6 < 0 \Rightarrow (-1, 2) \text{ is a local maximum}.

Marker's note: one mark for both xx-values from f′(x)=0f'(x) = 0, one for the two coordinate pairs, one for classifying each correctly with f′′f''. A candidate who finds x=±1x = \pm 1 but never classifies loses the final mark.

foundation3 marks
Find the equation of the tangent to the curve y=x2−4xy = x^2 - 4x at the point where x=1x = 1.
Show worked solution →

Find the point of contact. At x=1x = 1, y=12−4(1)=−3y = 1^2 - 4(1) = -3, so the tangent touches at (1,−3)(1, -3).

Find the gradient there. Differentiate and substitute:

dydx=2x−4,dydx∣x=1=2(1)−4=−2.\frac{dy}{dx} = 2x - 4, \qquad \left.\frac{dy}{dx}\right|_{x=1} = 2(1) - 4 = -2.

Write the line through (1,−3)(1, -3) with gradient −2-2.

y−(−3)=−2(x−1)⇒y=−2x+2−3=−2x−1.y - (-3) = -2(x - 1) \quad\Rightarrow\quad y = -2x + 2 - 3 = -2x - 1.

Marker's note: one mark for the point (1,−3)(1, -3), one for the gradient f′(1)=−2f'(1) = -2, one for a correctly arranged line equation. Using the gradient formula but forgetting to evaluate at x=1x = 1 (leaving 2x−42x - 4) is the usual slip.

core4 marks
The curve y=x3−6x2+9xy = x^3 - 6x^2 + 9x 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 y′=0y' = 0.

y′=3x2−12x+9=3(x2−4x+3)=3(x−1)(x−3)=0⇒x=1 or x=3.y' = 3x^2 - 12x + 9 = 3(x^2 - 4x + 3) = 3(x - 1)(x - 3) = 0 \quad\Rightarrow\quad x = 1 \text{ or } x = 3.

y(1)=1−6+9=4,y(3)=27−54+27=0,y(1) = 1 - 6 + 9 = 4, \qquad y(3) = 27 - 54 + 27 = 0,

so the stationary points are (1,4)(1, 4) and (3,0)(3, 0).

Classify with y′′=6x−12y'' = 6x - 12.

y′′(1)=−6<0⇒(1,4) is a local maximum;y′′(3)=6>0⇒(3,0) is a local minimum.y''(1) = -6 < 0 \Rightarrow (1, 4) \text{ is a local maximum}; \qquad y''(3) = 6 > 0 \Rightarrow (3, 0) \text{ is a local minimum}.

Point of inflection: solve y′′=0y'' = 0. 6x−12=06x - 12 = 0 gives x=2x = 2, and y′′y'' changes sign from negative to positive there, so the concavity genuinely changes. With y(2)=8−24+18=2y(2) = 8 - 24 + 18 = 2, the inflection is at (2,2)(2, 2).

Marker's note: one mark for the stationary xx-values, one for their coordinates, one for classifying both with y′′y'', one for the inflection point confirmed by a change in concavity (not merely y′′=0y'' = 0).

core4 marks
The diagram accompanying this question shows the graph of the gradient function y=f′(x)y = f'(x) of a function f(x)f(x). The gradient graph is a parabola that cuts the xx-axis at x=−2x = -2 and x=4x = 4, lies below the xx-axis for −2<x<4-2 < x < 4, and lies above it elsewhere. (a) State the xx-values of the stationary points of f(x)f(x). (b) Classify each stationary point of f(x)f(x). (c) State the interval on which f(x)f(x) is decreasing.
Show worked solution →

Read everything from the sign of f′(x)f'(x), because f′f' is what the graph shows.

Part (a): stationary points sit where f′(x)=0f'(x) = 0. The gradient graph crosses the axis at x=−2x = -2 and x=4x = 4, so f(x)f(x) has stationary points at x=−2x = -2 and x=4x = 4.

Part (b): classify by how f′f' changes sign. For x<−2x < -2 the parabola is above the axis, so f′(x)>0f'(x) > 0 (rising); for −2<x<4-2 < x < 4 it is below, so f′(x)<0f'(x) < 0 (falling); for x>4x > 4 it is above again, so f′(x)>0f'(x) > 0.

  • At x=−2x = -2, f′f' changes from ++ to −-, so ff turns from increasing to decreasing: a local maximum.
  • At x=4x = 4, f′f' changes from −- to ++, so ff turns from decreasing to increasing: a local minimum.

Part (c): ff decreases where f′(x)<0f'(x) < 0. That is exactly where the graph is below the axis, so f(x)f(x) is decreasing on −2<x<4-2 < x < 4.

Marker's note: the trap is treating the plotted parabola as f(x)f(x) itself. It is f′(x)f'(x), so its xx-intercepts are the stationary points of ff 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 marks
Oil leaks onto water and spreads as a circular slick whose radius increases at a constant 22 m/s. Find the rate at which the area of the slick is increasing at the instant its radius is 1010 m. Leave your answer in terms of π\pi.
Show worked solution →

Write the link between the two changing quantities. The area of a circle of radius rr is

A=πr2.A = \pi r^2.

Differentiate with respect to time. Since both AA and rr change with tt, differentiate implicitly:

dAdt=2πr drdt.\frac{dA}{dt} = 2\pi r \, \frac{dr}{dt}.

Substitute the instant. We are given drdt=2\frac{dr}{dt} = 2 and want the rate when r=10r = 10:

dAdt=2π(10)(2)=40π  m2/s.\frac{dA}{dt} = 2\pi (10)(2) = 40\pi \; \text{m}^2/\text{s}.

Marker's note: one mark for A=πr2A = \pi r^2 and the chain-rule link dAdt=2πrdrdt\frac{dA}{dt} = 2\pi r\frac{dr}{dt}, one for correct substitution of r=10r = 10 and drdt=2\frac{dr}{dt} = 2, one for the answer 40π40\pi with units. Differentiating AA with respect to rr only (forgetting the drdt\frac{dr}{dt} factor) is the standard error.

exam5 marks
An open box is made from a 2424 cm by 2424 cm square sheet of cardboard by cutting an equal square of side xx cm from each corner and folding up the four flaps. (a) Show that the volume is V=x(24−2x)2V = x(24 - 2x)^2. (b) Find the value of xx 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 xx from each corner and folding up, the base is a square of side 24−2x24 - 2x and the height is xx. So

V=base area×height=(24−2x)2×x=x(24−2x)2,V = \text{base area} \times \text{height} = (24 - 2x)^2 \times x = x(24 - 2x)^2,

valid for 0<x<120 < x < 12 (the flaps must have positive height and the base positive side).

Part (b): differentiate using the product and chain rules.

V′=(24−2x)2+x⋅2(24−2x)(−2)=(24−2x)2−4x(24−2x).V' = (24 - 2x)^2 + x \cdot 2(24 - 2x)(-2) = (24 - 2x)^2 - 4x(24 - 2x).

Factor out (24−2x)(24 - 2x):

V′=(24−2x)[(24−2x)−4x]=(24−2x)(24−6x).V' = (24 - 2x)\big[(24 - 2x) - 4x\big] = (24 - 2x)(24 - 6x).

Set V′=0V' = 0: either 24−2x=024 - 2x = 0 (so x=12x = 12, which gives V=0V = 0 and is rejected) or 24−6x=024 - 6x = 0, giving x=4x = 4.

Justify the maximum with a sign test. For xx just below 44, both factors are positive, so V′>0V' > 0; for xx just above 44, (24−6x)<0(24 - 6x) < 0 while (24−2x)>0(24 - 2x) > 0, so V′<0V' < 0. The gradient changes ++ to −-, so x=4x = 4 gives a maximum.

Part (c): evaluate.

V(4)=4(24−8)2=4×162=4×256=1024  cm3.V(4) = 4(24 - 8)^2 = 4 \times 16^2 = 4 \times 256 = 1024 \; \text{cm}^3.

Marker's note: one mark for showing V=x(24−2x)2V = x(24 - 2x)^2 with a stated domain, two for differentiating and solving to x=4x = 4 (correctly rejecting x=12x = 12), one for the justification that it is a maximum (sign table or V′′V''), one for the final 10241024 cm3^3 with units. Omitting the justification caps the answer even with the right xx.

exam5 marks
An open-top cylindrical tank must hold exactly 125π125\pi cm3^3. (a) Show that its surface area is S=πr2+250πrS = \pi r^2 + \dfrac{250\pi}{r}. (b) Find the radius that minimises the surface area, justifying that it is a minimum. (c) Find the corresponding height.
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Part (a): eliminate the height using the fixed volume. An open-top cylinder has one circular base and a curved side:

S=πr2+2πrh.S = \pi r^2 + 2\pi r h.

The volume fixes hh:

πr2h=125π⇒h=125r2.\pi r^2 h = 125\pi \quad\Rightarrow\quad h = \frac{125}{r^2}.

Substitute to remove hh:

S=πr2+2πr⋅125r2=πr2+250πr.S = \pi r^2 + 2\pi r \cdot \frac{125}{r^2} = \pi r^2 + \frac{250\pi}{r}.

Part (b): differentiate and solve S′=0S' = 0.

S′=2πr−250πr2=0⇒2πr3=250π⇒r3=125⇒r=5  cm.S' = 2\pi r - \frac{250\pi}{r^2} = 0 \quad\Rightarrow\quad 2\pi r^3 = 250\pi \quad\Rightarrow\quad r^3 = 125 \quad\Rightarrow\quad r = 5 \; \text{cm}.

Justify the minimum with the second derivative.

S′′=2π+500πr3>0 for all r>0,S'' = 2\pi + \frac{500\pi}{r^3} > 0 \text{ for all } r > 0,

so the curve is concave up and r=5r = 5 gives the minimum surface area.

Part (c): find the height.

h=125r2=12525=5  cm.h = \frac{125}{r^2} = \frac{125}{25} = 5 \; \text{cm}.

Marker's note: one mark for S=πr2+2πrhS = \pi r^2 + 2\pi r h with the volume substitution, one for reaching the shown form, one for solving S′=0S' = 0 to r=5r = 5, one for the justification via S′′>0S'' > 0, one for h=5h = 5 cm. A closed-cylinder formula (2πr2+2πrh2\pi r^2 + 2\pi r h) is a common misread of "open-top" and loses the first mark.

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