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Applications of differentiation (VCE Maths Methods Unit 2)

Syllabus dot point

“Use differentiation to analyse the behaviour of functions, including locating and classifying stationary points, finding tangent and normal equations, and solving optimisation problems”

6 min read

Quick answer

Set f′(x)=0f'(x)=0 to find stationary points, then classify them with the first-derivative sign test or the sign of f′′(x)f''(x). The tangent at x=ax=a has gradient f′(a)f'(a), the normal −1/f′(a)-1/f'(a). For optimisation, model the quantity as one variable, find the extremum, and check endpoints.

Jump to a section
  1. What this dot point is asking
  2. Stationary points
  3. First-derivative sign test
  4. Second-derivative test
  5. Tangent and normal lines
  6. Optimisation procedure
  7. Worked example (stationary points)
  8. Common traps
  9. In one sentence
  10. Examples in context
  11. Try this
  12. Exam-style questions

What this dot point is asking

VCAA wants you to apply differentiation to function analysis: finding stationary points and classifying them, deriving tangent and normal equations, and solving optimisation problems by constructing a single-variable function and finding its extremum.

Stationary points

A point on y=f(x)y = f(x) where f′(x)=0f'(x) = 0. Three types:

  • Local maximum: f′f' changes from positive to negative.
  • Local minimum: f′f' changes from negative to positive.
  • Stationary point of inflection: f′f' does not change sign.

First-derivative sign test

Pick a point just to the left and just to the right of the stationary point; compute the sign of f′f' at each.

Second-derivative test

If f′(a)=0f'(a) = 0 and:

  • f′′(a)>0f''(a) > 0: local minimum (concave up).
  • f′′(a)<0f''(a) < 0: local maximum (concave down).
  • f′′(a)=0f''(a) = 0: test is inconclusive; use the first-derivative sign test instead.

Tangent and normal lines

Tangent at x=ax = a: y−f(a)=f′(a)(x−a)y - f(a) = f'(a)(x - a).

Normal at x=ax = a: y−f(a)=−1f′(a)(x−a)y - f(a) = -\dfrac{1}{f'(a)}(x - a) (perpendicular to the tangent; provided f′(a)≠0f'(a) \neq 0).

If f′(a)=0f'(a) = 0 the tangent is horizontal and the normal is vertical (x=ax = a).

Optimisation procedure

  1. Identify the quantity to optimise (area, volume, cost, distance).
  2. Express it as a function of one variable using the constraints.
  3. Differentiate; set f′(x)=0f'(x) = 0; solve.
  4. Verify with a sign test or the second-derivative test.
  5. Check the domain boundaries (the global extremum might be at an endpoint).
  6. State the answer in words with units.

Worked example (stationary points)

For f(x)=x3−6x2+9x+2f(x) = x^3 - 6x^2 + 9x + 2:

f′(x)=3x2−12x+9=3(x2−4x+3)=3(x−1)(x−3)f'(x) = 3x^2 - 12x + 9 = 3(x^2 - 4x + 3) = 3(x - 1)(x - 3).

Stationary points: x=1,x=3x = 1, x = 3.

yy-coordinates: f(1)=1−6+9+2=6f(1) = 1 - 6 + 9 + 2 = 6; f(3)=27−54+27+2=2f(3) = 27 - 54 + 27 + 2 = 2.

Second-derivative test: f′′(x)=6x−12f''(x) = 6x - 12. f′′(1)=−6<0f''(1) = -6 < 0, so local max at (1,6)(1, 6). f′′(3)=6>0f''(3) = 6 > 0, so local min at (3,2)(3, 2).

Common traps

Forgetting to find yy-coordinates
A stationary point is a point; both xx and yy are needed.
Skipping the classification
f′(x)=0f'(x) = 0 identifies candidates; the test tells you which type.
Treating local extrema as global
Always check the domain endpoints.
Domain restriction in optimisation
A rectangle cannot have negative or zero side lengths. Enforce the practical domain.

In one sentence

Differentiation locates stationary points by setting f′(x)=0f'(x) = 0, classifies them by the first-derivative sign test or the sign of f′′(x)f''(x), gives tangent (m=f′(a)m = f'(a)) and normal (m=−1/f′(a)m = -1/f'(a)) line equations, and solves optimisation problems by modelling the quantity to optimise as a single-variable function and finding its extremum (with domain endpoints checked).

Examples in context

Example 1. Minimising fencing. A farmer encloses a rectangular paddock of area 200 m2200 \text{ m}^2 against a straight river (no fence needed along the river). If xx is the side perpendicular to the river, the depth is 200x\frac{200}{x} and fencing used is L=2x+200xL = 2x + \frac{200}{x}. Then L′(x)=2−200x2=0L'(x) = 2 - \frac{200}{x^2} = 0 gives x2=100x^2 = 100, so x=10x = 10 m. Since L′′(x)=400x3>0L''(x) = \frac{400}{x^3} > 0, this is a minimum. Minimum fencing L=20+20=40L = 20 + 20 = 40 m.

Example 2. Maximum profit. A company's profit (thousands of dollars) from producing xx hundred units is P(x)=−x3+12x2−36x+50P(x) = -x^3 + 12x^2 - 36x + 50. Then P′(x)=−3x2+24x−36=−3(x−2)(x−6)P'(x) = -3x^2 + 24x - 36 = -3(x - 2)(x - 6). Stationary points at x=2x = 2 and x=6x = 6. As P′′(x)=−6x+24P''(x) = -6x + 24, P′′(6)=−12<0P''(6) = -12 < 0, so x=6x = 6 is the local maximum: P(6)=−216+432−216+50=$50,000P(6) = -216 + 432 - 216 + 50 = \$50{,}000.

Try this

Q1. Find and classify the stationary points of f(x)=x3−3x2f(x) = x^3 - 3x^2. [3 marks]

  • Cue. f′(x)=3x2−6x=3x(x−2)f'(x) = 3x^2 - 6x = 3x(x - 2); x=0x = 0 (local max, f′′(0)=−6f''(0) = -6) and x=2x = 2 (local min, f′′(2)=6f''(2) = 6).

Q2. Find the equation of the tangent to y=x2−4xy = x^2 - 4x at x=3x = 3. [3 marks]

  • Cue. f(3)=−3f(3) = -3, f′(x)=2x−4f'(x) = 2x - 4, f′(3)=2f'(3) = 2; tangent y+3=2(x−3)y + 3 = 2(x - 3), so y=2x−9y = 2x - 9.

Q3. A rectangle has perimeter 4040 cm. (a) Express its area AA in terms of one side xx. (b) Find the dimensions giving maximum area. [2+2 marks]

  • Cue. (a) A=x(20−x)=20x−x2A = x(20 - x) = 20x - x^2. (b) A′(x)=20−2x=0⇒x=10A'(x) = 20 - 2x = 0 \Rightarrow x = 10; a 10×1010 \times 10 square, area 100 cm2100 \text{ cm}^2.

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.

Year 11 SAC-style5 marks
An open box is made from a square sheet of cardboard of side 1212 cm by cutting equal squares from each corner and folding up the sides. Let xx be the side length of the removed squares. Find the value of xx that maximises the volume of the box.
Show worked answer →

Volume: V(x)=x(12−2x)2V(x) = x(12 - 2x)^2 for 0<x<60 < x < 6.

Differentiate (chain rule plus product rule):

V′(x)=(12−2x)2+x⋅2(12−2x)(−2)=(12−2x)[(12−2x)−4x]=(12−2x)(12−6x)V'(x) = (12 - 2x)^2 + x \cdot 2(12 - 2x)(-2) = (12 - 2x)[(12 - 2x) - 4x] = (12 - 2x)(12 - 6x).

V′(x)=0V'(x) = 0 when x=6x = 6 (boundary, rejected) or x=2x = 2.

Sign test: V′(1)>0V'(1) > 0, V′(3)<0V'(3) < 0. Sign change positive to negative: local maximum.

Optimal x=2x = 2 cm. Maximum volume: V(2)=2⋅64=128V(2) = 2 \cdot 64 = 128 cm3^3.

Markers reward the modelling step, the derivative via product/chain, factoring before solving, the sign test, and the answer with units.

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