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Further differentiation and applications (TCE Mathematics Methods, Tasmania)

Syllabus dot point

“Further differentiation and applications: product, quotient and chain rules, curve sketching, optimisation and rates of change”

9 min read

Quick answer

You must differentiate products, quotients and composite functions fluently, then apply the derivative to sketch curves (stationary points and their nature) and to solve optimisation and rates-of-change problems.

Jump to a section
  1. What this dot point is asking
  2. The three combining rules
  3. Curve sketching with derivatives
  4. Optimisation
  5. Rates of change and related rates
  6. Exam-style questions

What this dot point is asking

Unit 3 of TCE Mathematics Methods builds the differentiation you met earlier into a full toolkit. By the end of this dot point you should be able to differentiate any combination of polynomial, exponential, logarithmic and trigonometric pieces, then turn the derivative into information about a graph or a real situation. TASC examines this material in both the calculator-free and calculator-assumed sections of the external Level 3/4 examination.

The three combining rules

The differentiation rules
Chain rule
If y=f(g(x))y = f(g(x)) then dydx=f′(g(x))⋅g′(x)\dfrac{dy}{dx} = f'(g(x)) \cdot g'(x).
Product rule
If y=u vy = u\,v then dydx=u′v+uv′\dfrac{dy}{dx} = u'v + uv'.
Quotient rule
If y=uvy = \dfrac{u}{v} then dydx=u′v−uv′v2\dfrac{dy}{dx} = \dfrac{u'v - uv'}{v^{2}}.

These rules combine. A term like x2e3xx^{2}e^{3x} needs the product rule, and the e3xe^{3x} factor itself needs the chain rule to give 3e3x3e^{3x}. The examiner's skill is recognising which rule (often several) a function needs and applying them in the correct order: differentiate the outermost structure first, then work inwards.

Standard derivatives you must know

  • ddx(xn)=nxn−1\dfrac{d}{dx}(x^{n}) = n x^{n-1}
  • ddx(sin⁡x)=cos⁡x\dfrac{d}{dx}(\sin x) = \cos x and ddx(cos⁡x)=−sin⁡x\dfrac{d}{dx}(\cos x) = -\sin x
  • ddx(ex)=ex\dfrac{d}{dx}(e^{x}) = e^{x} and ddx(ln⁡x)=1x\dfrac{d}{dx}(\ln x) = \dfrac{1}{x}

Curve sketching with derivatives

Stationary points occur where f′(x)=0f'(x) = 0. To classify them, use the second derivative: if f′′(x)>0f''(x) > 0 the point is a local minimum, if f′′(x)<0f''(x) < 0 it is a local maximum. Where f′′(x)=0f''(x) = 0 and the concavity changes you have a point of inflection. The first-derivative sign test is the alternative when f′′f'' is awkward to evaluate.

Stationary point nature

At a stationary point x=ax = a: f′′(a)>0⇒f''(a) > 0 \Rightarrow minimum, f′′(a)<0⇒f''(a) < 0 \Rightarrow maximum. If f′′(a)=0f''(a) = 0 you must test the sign of f′f' on each side.

A complete sketch combines intercepts, stationary points, the nature of each stationary point, any points of inflection, and the end behaviour as x→±∞x \to \pm\infty.

Optimisation

To find a maximum or minimum of a quantity in context:

  1. Write the quantity to be optimised as a function of one variable, using any constraint to eliminate the other variables.
  2. Differentiate and solve f′(x)=0f'(x) = 0 for the stationary points.
  3. Classify each stationary point (sign of f′f' either side, or the sign of f′′f'').
  4. Check the endpoints of the domain and interpret the answer in context, with units.
Optimising a fenced enclosure

Problem

A farmer has 120120 m of fencing for a rectangular paddock against a straight river (no fence is needed on the river side). Maximise the area.

Set up one variable

Let the two sides perpendicular to the river be xx and the side parallel be yy. The fencing used is 2x+y=1202x + y = 120, so y=120−2xy = 120 - 2x.

Build the function

A=xy=x(120−2x)=120x−2x2.A = xy = x(120 - 2x) = 120x - 2x^{2}.

Differentiate and solve

dAdx=120−4x=0⇒x=30.\frac{dA}{dx} = 120 - 4x = 0 \quad\Rightarrow\quad x = 30.

Confirm and interpret

Since d2Adx2=−4<0\dfrac{d^{2}A}{dx^{2}} = -4 < 0, this is a maximum. Then y=120−2(30)=60y = 120 - 2(30) = 60, and

A=30×60=1800 m2.A = 30 \times 60 = 1800 \text{ m}^{2}.

The largest area is 18001800 square metres, achieved with sides 3030 m and 6060 m.

The derivative dydx\dfrac{dy}{dx} is the instantaneous rate of change of yy with respect to xx. If a quantity QQ depends on time tt, then dQdt\dfrac{dQ}{dt} is its rate of change. For example, if the volume of water in a tank is V(t)=50t−t2V(t) = 50t - t^{2} litres, the inflow rate is V′(t)=50−2tV'(t) = 50 - 2t litres per unit time, which is zero at t=25t = 25.

Related rates link two rates through the chain rule: dVdt=dVdr⋅drdt\dfrac{dV}{dt} = \dfrac{dV}{dr} \cdot \dfrac{dr}{dt}. You differentiate the relationship between the quantities, then substitute the known rate to find the unknown one.

Common errors
Forgetting the inner derivative in the chain rule
When differentiating e3xe^{3x}, sin⁡(2x)\sin(2x) or ln⁡(5x−1)\ln(5x-1), students drop the factor from the inside. The correct results are 3e3x3e^{3x}, 2cos⁡(2x)2\cos(2x) and 55x−1\dfrac{5}{5x-1}.
Quotient rule numerator order
It is u′v−uv′u'v - uv', not uv′−u′vuv' - u'v. The wrong order flips the sign of the whole derivative.
Not classifying the stationary point
Solving f′(x)=0f'(x) = 0 only locates candidates. You must confirm whether each is a maximum, minimum or inflection before answering.
Ignoring the domain endpoints
In a restricted-domain optimisation problem the true maximum can occur at an endpoint, not at a stationary point.

Exam-style questions

Questions in the style of TASC 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.

Practice3 marks
Calculator-free. Find and classify the stationary point(s) of f(x)=xe2xf(x) = x e^{2x}. Show all algebraic working.
Show worked answer →

Differentiate using the product rule with u=xu = x and v=e2xv = e^{2x}, so u′=1u' = 1 and v′=2e2xv' = 2e^{2x}:

f′(x)=(1)e2x+x(2e2x)=e2x(1+2x).f'(x) = (1)e^{2x} + x(2e^{2x}) = e^{2x}(1 + 2x).

Set f′(x)=0f'(x) = 0. Since e2xe^{2x} is never zero, we need 1+2x=01 + 2x = 0, so x=−12x = -\tfrac{1}{2}.
Then f(−12)=−12e−1=−12ef\left(-\tfrac{1}{2}\right) = -\tfrac{1}{2}e^{-1} = -\dfrac{1}{2e}. The stationary point is (−12,−12e)\left(-\tfrac{1}{2}, -\dfrac{1}{2e}\right).

Classify with the second derivative: f′′(x)=2e2x(1+2x)+e2x(2)=e2x(4x+4)f''(x) = 2e^{2x}(1 + 2x) + e^{2x}(2) = e^{2x}(4x + 4).
At x=−12x = -\tfrac{1}{2}: f′′(−12)=e−1(2)=2e>0f''\left(-\tfrac{1}{2}\right) = e^{-1}(2) = \dfrac{2}{e} > 0, so the point is a local minimum. One mark for f′(x)f'(x), one for the coordinates, one for the classification.

Practice6 marks
Calculator-assumed. An open rectangular tank with a square base of side xx metres is to hold 3232 m3^3 of water. (a) Show that the surface area of the base and four sides is S(x)=x2+128xS(x) = x^{2} + \dfrac{128}{x}. (b) Find the value of xx that minimises the material used, and the minimum surface area.
Show worked answer →

(a) The volume is x2h=32x^{2}h = 32, so h=32x2h = \dfrac{32}{x^{2}}. The open tank has a base x2x^{2} and four sides each xhxh, so

S=x2+4xh=x2+4x⋅32x2=x2+128x.S = x^{2} + 4xh = x^{2} + 4x\cdot\frac{32}{x^{2}} = x^{2} + \frac{128}{x}.

(b) Differentiate: S′(x)=2x−128x2S'(x) = 2x - \dfrac{128}{x^{2}}. Set S′(x)=0S'(x) = 0: 2x=128x22x = \dfrac{128}{x^{2}}, so 2x3=1282x^{3} = 128, giving x3=64x^{3} = 64 and x=4x = 4.
Check it is a minimum: S′′(x)=2+256x3>0S''(x) = 2 + \dfrac{256}{x^{3}} > 0 for x>0x > 0, confirming a minimum.
Then S(4)=16+1284=16+32=48S(4) = 16 + \dfrac{128}{4} = 16 + 32 = 48 m2^2.

Markers reward the correct surface-area model, the factored derivative, x=4x = 4, and confirming a minimum.

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