Topic 1: Further differentiation and applications
Differentiate exponential and logarithmic functions, including compositions of the form and , and apply the derivatives to model and analyse rates of change
A focused answer to the QCE Mathematical Methods Unit 3 dot point on differentiating exponential and logarithmic functions. Covers the derivatives of , , and , the chain rule generalisations and , and the application to rates of change, with worked Paper 1 and Paper 2 examples.
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What this dot point is asking
QCAA wants you to differentiate exponential and logarithmic functions, including compositions like and , and apply those derivatives to model rates of change in context. Exponential and logarithmic derivatives appear in Paper 1 (technology-free), in Paper 2 modelling questions, and in PSMTs that involve growth, decay, or any process where the rate is proportional to the current quantity.
The answer
The base case
The exponential function with base is its own derivative.
This is the defining property of and is the reason appears in every growth and decay model in Unit 3.
The natural logarithm is the inverse of and differentiates to the reciprocal.
Chain-rule generalisations
For any differentiable inner function :
These two formulas cover almost every Methods question. Memorise them in this form.
Other bases
For and , use the change of base , which gives
Similarly, , so
QCAA frequently rewards students who recognise that is not differentiated by the power rule. The power rule applies to (variable base, constant exponent), not (constant base, variable exponent).
Logarithm laws first
Before differentiating a complicated logarithm, simplify using logarithm laws. For example,
which differentiates to in one step, with no quotient rule needed.
Proportional rate of change
The reason models growth and decay is that its derivative is proportional to itself: if then . So the rate of change at any instant is exactly times the current amount, which is the defining feature of exponential change. A positive gives growth (the rate rises as the quantity rises) and a negative gives decay (the rate of loss shrinks as the quantity shrinks). Recognising as the signature of an exponential model is a recurring QCAA theme and connects this dot point to differential equations.
Combining with the product and quotient rules
Exponential and logarithmic derivatives rarely appear alone; they are usually one factor in a product or quotient. For the product rule gives , and for the quotient rule gives . The exponential or logarithm is differentiated with its own rule, and the surrounding structure dictates whether the product or quotient rule wraps around it. Factorising the result is often worth a final mark.
Exam-style practice questions
Practice questions written in the style of QCAA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
QCAA 20233 marksPaper 1 (technique). Differentiate with respect to .Show worked answer →
This is a composition, so use the chain rule generalisation .
Let , so .
Markers reward explicit identification of and , application of the rule, and a tidy final answer with the exponential factor on the right.
QCAA 20224 marksPaper 2 (complex familiar). A population of bacteria is modelled by where is hours after measurement. (a) Determine the rate of change of the population at hours. (b) Interpret this rate in context.Show worked answer →
A 4-mark answer needs the derivative, the substituted value, and a contextual interpretation.
(a) .
At : bacteria per hour.
(b) Six hours after measurement, the population is growing at about 184 bacteria per hour. Because the model is exponential, the rate of growth itself increases with time; this rate would be roughly 220 per hour an hour later.
Markers reward the chain-rule derivative, an accurate numerical value (3 significant figures is fine on Paper 2), and a sentence interpreting the rate in context with correct units.
Related dot points
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