How do we differentiate functions built from products, quotients and compositions of standard functions?
Apply the product, quotient and chain rules, and differentiate exponential, logarithmic and trigonometric functions
A focused answer to the HSC Maths Advanced dot point on differentiation rules. The power, chain, product and quotient rules, plus derivatives of exponential, logarithmic and trigonometric functions, with worked examples and exam traps.
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What this dot point is asking
NESA wants you to differentiate any function built from the standard library (polynomials, , , , , ) using the power, chain, product and quotient rules. Almost every Maths Advanced calculus question begins with a differentiation step, so fluency here is non-negotiable.
The answer
The power rule
For any real ,
This extends to negative and fractional powers. For example, and .
The chain rule
If , let so . Then
In practice, "differentiate the outside, leave the inside alone, then multiply by the derivative of the inside".
The product rule
If , then
The quotient rule
If , then
Standard derivatives
Memorise these. They appear in nearly every paper.
For composed trig, the chain rule gives , and similarly for and .
What the derivative means
Every differentiation rule is a tool for finding , the instantaneous rate of change of , which is also the gradient of the tangent to at each point. The first-principles definition behind every rule is
NESA can ask you to differentiate from first principles for a simple polynomial, so you should be able to set up this limit, expand , cancel the in the numerator, and take the limit. For all other functions you quote the standard rules above, which are themselves derived from this limit.
Seeing the derivative: from secant to tangent
The derivative is the gradient of the tangent, and the tangent is the limiting position of a secant. Watching that limit form is the single best way to understand what measures. Fix a point on the curve and let a second point slide towards it; the gradient of the line is the average rate of change , and as it tends to the instantaneous rate of change at .
Stage 1, a wide secant. Place a fixed point at and a second point a large horizontal distance to the right. The straight line through and is a secant, and its gradient is the average rate of change between the two points, the rise divided by the run.
Stage 2, slide closer. Move towards so the gap shrinks. The secant now hugs the curve more closely near , and its gradient is a better estimate of the gradient at itself.
Stage 3, let . As slides almost on top of , the gap becomes tiny and the secant is barely distinguishable from a line that just grazes the curve at . The average rate of change is converging on a single number.
Stage 4, the tangent is the limit. In the limit , merges with and the secant becomes the tangent at . Its gradient is the derivative , the instantaneous rate of change. Every rule on this page is a shortcut for computing exactly this limiting gradient.
Deciding which rule to use
The single most common student error is reaching for the wrong rule. Read the structure of the expression first.
- A sum or difference of terms: differentiate each term separately.
- A function raised to a power, or a function inside another function (a composition): chain rule.
- Two functions multiplied together: product rule.
- One function divided by another: quotient rule.
Many HSC expressions combine rules. For you use the product rule on the outer multiplication and the chain rule on . Work from the outside in, naming each piece as you go.
Tangents and normals
Once you have , the gradient of the tangent at is . The tangent line is
The normal is perpendicular to the tangent, so its gradient is (provided ). These appear constantly in HSC questions: differentiate, evaluate the derivative at the point, then write the line equation.
Higher derivatives
Differentiating again gives the second derivative , the rate of change of the gradient. For , and . Higher derivatives drive concavity and motion problems, so the rules here feed directly into later calculus topics.
How exam questions ask about differentiation
The wording varies, but each version is a cue for a particular rule or follow-up:
- "Differentiate" or "find ". A direct rule application. Identify the structure (sum, composition, product, quotient) first, then apply the matching rule and simplify.
- "Differentiate from first principles". Set up , expand , cancel the , and take the limit. NESA reserves this for simple polynomials, but you must show the limit, not quote the power rule.
- "Find the gradient of the curve at ". Differentiate, then substitute into . The number you get is the gradient of the tangent there.
- "Find the equation of the tangent / normal at the point ...". Differentiate, evaluate for the gradient, then use for the tangent; for the normal use gradient .
- "Show that ". A "show that" answer must reach the printed result by valid steps; do not just assert it. Pick up the marks by displaying the rule used and every simplification.
- A derivative buried in a larger question. Most calculus questions open with a differentiation step that feeds a later part (stationary points, rates, areas). Get it right and factored, because every later mark depends on it.
Exam-style practice questions
Practice questions written in the style of NESA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
2022 HSC Q113 marksDifferentiate with respect to .Show worked answer →
This is a composition, so use the chain rule. Let , so .
and .
.
Markers reward identifying the inner and outer functions, applying the chain rule cleanly, and presenting the final answer in factored form.
2020 HSC Q123 marksFind the derivative of .Show worked answer →
Use the product rule with and .
and .
.
Factor: .
Markers expect explicit labelling of , and their derivatives, correct application of the rule, and a tidy final answer.
Practice questions
Original practice questions graded from foundation to exam level, each with a full worked solution. Try them before revealing the solution.
foundation2 marksDifferentiate with respect to .Show worked solution →
Recognise a composition, so use the chain rule. Let , giving .
Multiply the two rates.
Marker's note: one mark for the chain-rule setup (identifying and differentiating the outer power), one for the correct final answer . Forgetting the inner factor of and writing is the standard slip that loses the second mark.
foundation2 marksDifferentiate using the product rule.Show worked solution →
Name the two factors. Let and , so
Apply .
Marker's note: one mark for the correct product-rule expansion , one for a tidy factored answer . Markers award the method mark for correct even if the factoring slips.
foundation3 marksDifferentiate using the quotient rule.Show worked solution →
Set up the quotient rule. Let and , so
Apply , keeping the order in the numerator.
Expand and simplify the numerator.
so
Marker's note: one mark for the correct quotient-rule structure with before , one for expanding the numerator correctly, one for the simplified final answer. Reversing the numerator to flips every sign and loses the last two marks.
core3 marksFind the equation of the tangent to at the point where .Show worked solution →
Find the point of contact. At , , so the tangent touches at .
Differentiate with the product rule. Let and , so and :
Evaluate the gradient at .
Write the line through with gradient .
Marker's note: one mark for the product-rule derivative , one for evaluating the gradient as at , one for the correct tangent equation . Using instead of is the usual error.
core3 marksDifferentiate and hence find the gradient of the curve at . Leave your answer in exact form.Show worked solution →
Apply the quotient rule. Let and , so and :
Cancel a factor of .
Substitute (radians). Here and :
Marker's note: one mark for the quotient-rule setup, one for the simplified derivative, one for the exact value using and . Working in degrees, or slipping the sign of , breaks the final mark.
core3 marksThe displacement of a particle is metres at time seconds, for . The velocity-time graph rises from the origin to a single peak and then falls back towards the time axis, never going below it. Using calculus, find the two times at which the velocity is zero and state what is happening to the particle at each.Show worked solution →
Velocity is the derivative of displacement. Differentiate with the product rule, letting and , so and :
Solve . Since for all , the velocity is zero only when
Interpret each time using the described graph. At the particle starts from rest at the origin (the velocity graph begins at the origin). At the velocity graph is at its single peak turning point, so the particle is momentarily at rest at the far end of its outward motion before slowing displacement growth; this is where displacement stops increasing as fast and the velocity has returned to zero.
Marker's note: one mark for the product-rule velocity , one for solving to and (using ), one for reading the graph to say the particle is at rest at both times. Cancelling or ignoring the factor as if it could be zero is the trap.
exam5 marksA curve is defined by for . (a) Show that . (b) Hence find the coordinates of the stationary point and, using the sign of the derivative, justify that it is a minimum. (c) Show that at the stationary point .Show worked solution →
Part (a): differentiate with the quotient rule. Let and . By the chain rule , and :
Factor out of the numerator:
as required.
Part (b): locate the stationary point. Set . Since and for , the only zero comes from
The -coordinate is
so the stationary point is .
Justify the minimum with a sign test. The factors and are always positive for , so the sign of follows the sign of . For , so (falling); for , so (rising). The gradient changes from negative to positive, so is a minimum.
Part (c): confirm the value. From part (b), , which is the required result.
Marker's note: one mark for the quotient-and-chain-rule derivative reaching the shown form in (a); one for solving to ; one for the sign test either side confirming a minimum; one for the coordinates ; one for showing cleanly in (c). Forgetting the chain-rule factor of on derails part (a) and every mark after it.
exam4 marksA function is defined by for . (a) Show that . (b) Hence state the -values in at which the graph of has possible points of inflection.Show worked solution →
Part (a): differentiate twice. First derivative by the product rule with , , so , :
Differentiate again, using the product rule on with (so ) and (so ):
Expand inside:
as required.
Part (b): possible inflections where . Since for all , we need . On (radians),
These are the -values where the concavity may change, so the possible points of inflection are at , and .
Marker's note: one mark for the first derivative , one for reaching , one for setting using , one for all three solutions in the given domain. Working in degrees or dropping a solution at an endpoint costs the final mark.
