Overview
What you’ll learn
- Evaluate functions from notation, and state domains and ranges with exclusions and inequalities.
- Form composite functions in the correct order — gf means “f first, then g” — and solve equations involving them.
- Find inverse functions by rearranging, and check with f⁻¹(f(x)) = x.
- Differentiate sums of terms axⁿ, including negative powers such as 1⁄x.
- Locate stationary points from dy⁄dx = 0, classify them with d²y⁄dx², and write the equation of a tangent.
Syllabus checklist (0580)
Statements are paraphrased and grouped by tier. Core is studied by everyone; Extended content is examined on Papers 2 and 4 only.
Extended — Extended candidates only
- 2.13Use function notation, and determine the domain and range of a function. (Extended)
- 2.13Find the inverse of a one-one function and form composite functions such as gf(x) = g(f(x)). (Extended)
- 2.12Differentiate sums of multiples of powers of x, and use the dy⁄dx notation. (Extended)
- 2.12Find the gradient of a curve at a point, and the equation of a tangent at that point. (Extended)
- 2.12Find and classify stationary points as maxima or minima, using a sketch, the second derivative or the gradient either side. (Extended)
In 30 seconds
- 1f(3) means “the output of machine f for input 3” — substitute, exactly like any formula.
- 2gf(x) = g(f(x)): f acts first. Composites in the wrong order give different answers.
- 3An inverse undoes the machine: solve y = f(x) for x, then swap letters — f⁻¹(f(x)) = x is your check.
- 4Differentiate term by term: multiply by the power, then reduce it by one; 5x³ → 15x². A 1⁄x term is x⁻¹ first.
- 5Stationary points live where dy⁄dx = 0; classify with the second derivative: positive → minimum, negative → maximum.
- 6A tangent at x = a has gradient dy⁄dx at a and passes through the point on the curve; the perpendicular normal (enrichment, not examined) has gradient −1⁄m.
- 7The domain lists allowed inputs (watch divisions: x ≠ 2); the range lists the outputs that come out (x² + 2 never drops below 2).
Notes · 1 of 4
Function notation, domain and range
A function is a machine: inputs, rule, outputs. (Extended)
Extended. Writing f(x) = 2x + 3 names the machine *f* and its rule. Then f(5) = 2(5) + 3 = 13 — just substitution. The domain is the set of allowed inputs: for f(x) = 1⁄(x − 2), every x except 2 works, so the domain is x ≠ 2. The range is the set of outputs: x² + 2 is a square plus two, so it never falls below 2 — the range is y ⩾ 2.
Quadratic functions pair each input with one output but are not one-one — f(3) = f(−3) for x² — which is why inverses exist cleanly only for one-one functions like 2x + 3. Domain restrictions (x ⩾ 0) can make a quadratic invertible, but at this level inverses are asked for linear and simple rational machines.
Notes · 2 of 4
Composite and inverse functions
Order matters in gf; inverses run the machine backwards. (Extended)
Extended. The composite gf(x) means g(f(x)) — the letter next to x acts first. With f(x) = x + 1 and g(x) = x², gf(4) = g(5) = 25, but fg(4) = f(16) = 17. Different orders, different machines. To solve gf(x) = 51 with f(x) = x² + 1 and g(x) = 3x: 3(x² + 1) = 51 → x² = 16 → x = ±4.
To find an inverse, write y = f(x), rearrange to make x the subject, then swap the letters. For f(x) = 3x − 1: y = 3x − 1 → x = (y + 1)⁄3, so f⁻¹(x) = (x + 1)⁄3. The check is free: f⁻¹(f(x)) should return x. Graphically, f and f⁻¹ mirror each other in the line y = x.
Notes · 3 of 4
Differentiating powers of x
Multiply by the power, knock the power down. (Extended)
Extended. Differentiation gives a formula for the gradient of a curve. The power rule: for axⁿ, the derivative is anxⁿ⁻¹ — multiply by the power, then reduce it. So 5x³ differentiates to 15x², 4x² − 3x + 7 differentiates to 8x − 3 (constants vanish), and sums differentiate term by term. Fractions convert first: 6⁄x = 6x⁻¹, which differentiates to −6x⁻² = −6⁄x².
The derivative at a point is the gradient there — the same number a tangent’s slope would have. For y = x², dy⁄dx = 2x, so at x = 3 the gradient is 6: the curve climbs six units for every one across. Negative gradients mean falling; dy⁄dx = 0 marks a flat instant — the stationary points of the next section.
Notes · 4 of 4
Stationary points, tangents and normals
Where the gradient vanishes, and which lines touch the curve. (Extended)
Extended. Stationary points solve dy⁄dx = 0. For y = x² − 8x + 1: dy⁄dx = 2x − 8 = 0 gives x = 4, and y(4) = −15, so the point is (4, −15). To classify it, use the second derivative: differentiate again to get d²y⁄dx² = 2, which is positive — a minimum. Negative second derivative means a maximum. Alternatively substitute x = 3 and x = 5 into dy⁄dx: the gradient passes −2, 0, +2, so the curve falls, flattens, rises — a valley.
A tangent at x = a has gradient m = dy⁄dx at a and passes through the curve point: for y = x² at (2, 4), m = 4 and the tangent is y − 4 = 4(x − 2), i.e. y = 4x − 4. One step beyond the syllabus, the normal is the perpendicular line: its gradient is −1⁄m (here −1⁄4), because perpendicular gradients multiply to −1. The 0580 papers ask for tangents, so treat the normal as enrichment.
Revise
Key terms
The words examiners expect you to use precisely.
- Function (Extended)
- A rule assigning exactly one output to each input.f(5) = 13 for f(x) = 2x + 3.
- Domain (Extended)
- The set of allowed inputs of a function.1⁄(x − 2) has domain x ≠ 2.
- Range (Extended)
- The set of outputs a function can produce.x² + 2 has range y ⩾ 2.
- Composite function (Extended)
- Two functions applied in sequence, written gf(x) = g(f(x)).gf(4) with f = x + 1, g = x² is 25.
- Inverse function (Extended)
- The machine that undoes f, written f⁻¹.f⁻¹(x) = (x + 1)⁄3 undoes f(x) = 3x − 1.
- Derivative (Extended)
- A formula for the gradient, written dy⁄dx.y = 5x³ gives dy⁄dx = 15x².
Show 3 more key termsShow fewer key terms
- Stationary point (Extended)
- A point where dy⁄dx = 0.(4, −15) for y = x² − 8x + 1.
- Second derivative (Extended)
- The gradient of the gradient, d²y⁄dx², classifying stationary points.Positive → minimum; negative → maximum.
- Normal (enrichment)
- The line perpendicular to the tangent at a point — beyond the 0580 syllabus, shown for completeness.Tangent gradient 6 → normal gradient −1⁄6.
Revise
Common mistakes
Where students most often lose marks in this topic — and what to do instead.
Mistake: Composing in the wrong order: reading gf as f(g(x)).
The letter next to x acts first — g is the outer machine.
Instead: gf(4) with f = x + 1, g = x²: f first (5), then g (25).
Mistake: Forgetting to swap letters at the end of an inverse.
The answer x = (y + 1)⁄3 is not a function of x yet.
Instead: Rearrange for x, then swap y for x: f⁻¹(x) = (x + 1)⁄3.
Show 10 more mistakesShow fewer mistakes
Mistake: Differentiating a constant to something non-zero.
The derivative of 7 is 0 — a constant has no slope.
Instead: 4x² − 3x + 7 → 8x − 3 + 0.
Mistake: Reducing the power before multiplying, or not at all.
5x³ is not 5x² and not 15x³.
Instead: Multiply by the power, then subtract one: 5 × 3 = 15, power 2 → 15x².
Mistake: Differentiating 6⁄x as −6 (ignoring the variable).
6⁄x is 6x⁻¹, a power of x.
Instead: 6x⁻¹ → −6x⁻² = −6⁄x².
Mistake: Setting y = 0 instead of dy⁄dx = 0 for stationary points.
Roots are where the curve crosses the axis, not where it flattens.
Instead: Solve the derivative: 2x − 8 = 0 → x = 4.
Mistake: Trusting the sign of x to pick maximum or minimum.
The classification comes from the second derivative, not from where the point sits.
Instead: d²y⁄dx² = 6x at −2 is negative → maximum, even though −2 is on the left.
Mistake: Using the curve point with the wrong gradient for the tangent.
The gradient must be evaluated at the same x as the point.
Instead: At x = 5 on y = x² − 4x: m = 2(5) − 4 = 6 and the point is (5, 5).
Mistake: Forgetting perpendicular gradients multiply to −1 for the normal.
The normal to a gradient-6 tangent is not also 6.
Instead: Normal gradient = −1⁄6.
Mistake: Writing f⁻¹(x) as 1⁄f(x).
The −1 is an inverse-function label, not a power.
Instead: Swap x and y, then rearrange: f(x) = 5x − 2 has f⁻¹(x) = (x + 2)⁄5.
Mistake: Stopping after one differentiation when asked for d²y⁄dx².
The second derivative is the gradient of the gradient.
Instead: Differentiate twice: x⁴ − 2x² → 4x³ − 4x → 12x² − 4.
Mistake: Reducing the power but not the coefficient: 5x³ differentiated as 5x².
The multiply-by-power step was skipped.
Instead: Both steps together: 5 × 3 x² = 15x².
Check yourself
Quick quiz
24 questions with instant explanations. About 5 minutes.
Question 1 of 3
- Question 1: current question
- Question 2: not answered
- Question 3: not answered
Evaluate a function from its notation
If f(x) = 2x + 3, what is f(5)?
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Practise
Topical questions
14 exam-style questions with model answers and mark schemes.
A set of structured and calculation questions matched to this topic, in three tiers, each with a model answer, mark scheme and examiner tip.
Practise topical questionsExam practice
Practice paper
A 30-mark paper set out like a Cambridge paper, with a separate mark scheme. Give yourself 40 min.
Question paper
Topic 10 Practice Paper
30 marks · 40 min · 5 pages
10 multiple-choice questions and structured questions with answer lines. Topic 10: function notation, domain and range, inverse and composite functions, differentiating powers of x, stationary points and their classification, and tangents and normals to curves — all Extended content.
Mark scheme
PROTopic 10 Practice Paper — mark scheme
Answers · Marking points · 3 pages
Model answers with a mark for each creditworthy point — for marking at home or in class.
Which papers examine this topic?
Paper 1 / 3
Core: 80 marks each, 1 h 30 each
Paper 1 non-calculator, Paper 3 calculator
Paper 2 / 4
Extended: 100 marks each, 2 h each
Paper 2 non-calculator, Paper 4 calculator
Accuracy
3 s.f., angles to 1 d.p.
Unless a question states otherwise
Want a full paper? Try the Paper 1-style Core, Paper 2-style non-calculator or Paper 4-style calculator sets.
Questions
Frequently asked questions
How do I remember what gf(x) means?
Read it right to left: the function nearest x acts first. gf(x) = g(f(x)) — apply f, then feed the result to g. Computing both orders (gf and fg) on a small number like 2 is the fastest way to keep them straight in an exam.
Why does the second derivative tell me maximum or minimum?
The second derivative is the gradient of the gradient. Near a maximum the slopes are falling (gradient decreasing), so the second derivative is negative; near a minimum they are rising, so it is positive. If it comes out zero, fall back on a sketch or test the gradient either side.
What is the quickest check that my inverse is right?
Compose it with the original: f⁻¹(f(any number)) must return the number you started with. Pick an easy input like 3, run it through f, then through your f⁻¹. If you do not land back on 3, the inverse is wrong.
Do Core candidates need any of this topic?
No — both functions and differentiation are Extended-only statements on the 0580 syllabus. Core candidates meet graphs and gradients of straight lines only; the dy⁄dx machinery starts at Extended.
Is QuizQuip connected to Cambridge?
No. Cambridge IGCSE and Cambridge are trademarks of Cambridge University Press & Assessment. QuizQuip is independent — not affiliated with, endorsed by, or connected to Cambridge. All our notes and questions are original material written against the published 0580 syllabus; we do not host Cambridge past papers.
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