Derivatives of exponential and log functions (SACE Stage 2 Mathematical Methods)
“The derivative of e^x is itself, the derivative of ln x is 1/x, and the chain rule extends both to composite functions.”
and . With the chain rule these extend to and .
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What this dot point is asking
The exponential function is special: it is its own derivative. The natural logarithm differentiates to . These two results, combined with the chain rule, let you differentiate every exponential and logarithmic model in Stage 2. They are also the reason the constant matters at all: is precisely the base for which the exponential curve has gradient exactly equal to its height at every point, which is why calculus is built around base rather than base or base .
The base results
Chain-rule extensions
When the exponent or the argument is itself a function of , multiply by its derivative:
A population is modelled by . Find the rate of growth at .
Step 1: Identify the composite structure
The function is of the form where the inner function is . The chain rule for exponentials says the derivative is times the original exponential, so we need first.
Differentiating the inner function gives .
Step 2: Apply the composite exponential rule
The rule gives:
The factor comes from multiplying the constant by the inner derivative . The exponential part stays unchanged.
Step 3: Substitute
Now substitute the given time to find the instantaneous rate:
Final answer: The population is growing at approximately per unit time at .
Differentiate .
Step 1: Identify the inner function
The function is a composite: the outer function is and the inner function is . The chain rule for logarithms states , so the key task is finding .
Differentiating gives .
Step 2: Apply the logarithm chain rule
Place the derivative of the inner function in the numerator and the inner function itself in the denominator:
The denominator is the original argument of the ; it does not simplify further.
Final answer: .
Combining with the product and quotient rules
These derivatives frequently sit inside products and quotients.
Differentiate and find its stationary points.
Step 1: Recognise the product structure
The function is a product of two functions of : set and . Because neither factor is a constant, the product rule is required. Compute the individual derivatives: and (since differentiates to itself).
Step 2: Apply the product rule
Substitute into :
Step 3: Factorise the derivative
Both terms share the factors and , so factor these out to make setting the derivative to zero straightforward:
Step 4: Find the stationary points
Stationary points occur where . The factor is always positive (it is never zero for any real ), so the equation reduces to . This gives and .
Final answer: The derivative is and the stationary points are at and .
Using the log laws to simplify first
Before differentiating a complicated log, expand it with the log laws - this is far easier than the quotient or product rule.
For , rewrite as , then
Common errors
A common slip is differentiating as without the on top - the chain rule requires the numerator to be the derivative of the argument. Likewise , not ; the exponent's derivative multiplies the result.
If a log contains a product, quotient or power, use the log laws to split it into a sum of simple logs first. Differentiating term by term is far cleaner and less error-prone than applying the quotient rule inside a single logarithm.
Tangents to exponential and log curves
A common application is finding the equation of a tangent. The gradient at a point comes from the derivative, and the tangent line is then . For at , the gradient is and the point is , so the tangent is . For at , the gradient is and the point is , so the tangent is . These two tangents are reflections of each other in , which is the graphical echo of the exponential and logarithm being inverse functions.
Rates of change in models
Because , the derivative of an exponential model is proportional to the model itself. This is the defining feature of exponential growth and decay: the rate of change at any instant is a fixed multiple of the current amount. A positive gives growth and a negative gives decay. When SACE asks for the rate of growth of a population or the rate of cooling of an object, you differentiate the model and substitute the given time, exactly as in the worked population example above.
Why it matters
These derivatives are the basis of every exponential growth-and-decay and logarithmic application in Stage 2, and they connect directly to the antidifferentiation results in Topic 3 (since and are simply these rules reversed).
Exam-style questions
Questions in the style of SACE Board 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.
SACE 2023-style2 marksCalculator-free. Find for . There is no need to simplify your answer.Show worked answer →
This is the exponential chain rule . The inner function is with .
So .
Marks: one for keeping the exponential factor , one for multiplying by . Writing alone and omitting the factor is the frequent error.
SACE 2022-style2 marksCalculator-free. Find if .Show worked answer →
This is a product of and , so use the product rule .
Here and .
Marks: one for the product-rule set-up, one for the simplified derivative . Factoring is the form needed if the next part asks for stationary points.
SACE 2021-style3 marksCalculator-assumed. For , find and hence the -coordinate of the stationary point.Show worked answer →
Use the log chain rule with , :
Stationary point where : the denominator is never zero, so , giving .
Marks: one for the chain-rule structure, one for on top, and one for solving to .