Derivatives of exponential and logarithmic functions (QCE Mathematical Methods Unit 3)
“Differentiate exponential and logarithmic functions, including compositions of the form and , and apply the derivatives to model and analyse rates of change”
The exponential function is its own derivative and the natural log differentiates to , and applying the chain rule turns these into and , with non- bases handled by writing .
Jump to a section
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.
Five differentiation tasks on exponential and logarithmic functions, each showing how to identify the inner function and apply the appropriate rule.
Step 1: Apply the chain rule to
The function has the form , so we use . The inner function is , which has derivative .
Step 2: Differentiate a logarithm of a polynomial,
The function has the form , so we use . The inner function is , giving .
Step 3: Handle a non- exponential,
The power rule does not apply here because the base is constant and the exponent is variable. We recognise and apply the chain rule, bringing out as the constant factor.
Step 4: Use logarithm laws before differentiating
Differentiating this quotient inside a logarithm directly would require the quotient rule inside the chain rule. It is much cleaner to split using first.
Now each term differentiates immediately.
Step 5: Apply the derivative in a modelling context
A quantity decays according to milligrams, with in days. The chain rule gives the rate of change, where the inner function contributes a factor of .
Substituting gives the instantaneous rate.
Final answer: the quantity is decreasing at approximately mg per day when days. The negative sign confirms decay and its magnitude gives the current rate of loss.
- Treating like
- . The correct answer is .
- Forgetting the chain rule factor
- , not . The factor of comes from .
- Missing the domain on
- The natural log is only defined for . If a domain crosses zero, you may need instead. In Paper 1, state the domain when QCAA asks for it.
- Skipping logarithm laws
- Differentiating directly with the chain rule still works but is slower and more error-prone than splitting first to .
- Forgetting the sign in decay
- A decay model with has derivative , which is negative. The negative sign carries through and is part of the answer.
Exam-style questions
Questions in the style of QCAA 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 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.
Practice4 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 about 214 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.