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How do we differentiate products, quotients and composites, and use the result to optimise and sketch?

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

Product, quotient and chain rules, second-derivative curve sketching, optimisation and rates of change for TCE Mathematics Methods Unit 3, with worked TASC-style examples.

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  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

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

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)=nxn1\dfrac{d}{dx}(x^{n}) = n x^{n-1}
  • ddx(sinx)=cosx\dfrac{d}{dx}(\sin x) = \cos x and ddx(cosx)=sinx\dfrac{d}{dx}(\cos x) = -\sin x
  • ddx(ex)=ex\dfrac{d}{dx}(e^{x}) = e^{x} and ddx(lnx)=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 ff'' is awkward to evaluate.

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 ff' either side, or the sign of ff'').
  4. Check the endpoints of the domain and interpret the answer in context, with units.

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)=50tt2V(t) = 50t - t^{2} litres, the inflow rate is V(t)=502tV'(t) = 50 - 2t litres per unit time, which is zero at t=25t = 25.

Related rates link two rates through the chain rule: dVdt=dVdrdrdt\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.

Exam-style practice questions

Practice questions written in the style of TASC exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

TCE 20243 marksCalculator-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)=12e1=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)=e1(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.

TCE 20236 marksCalculator-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+4x32x2=x2+128x.S = x^{2} + 4xh = x^{2} + 4x\cdot\frac{32}{x^{2}} = x^{2} + \frac{128}{x}.

(b) Differentiate: S(x)=2x128x2S'(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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