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A Level · Cambridge (CIE) · 9709

Differentiation and integration

Connect a function with its gradient and use antiderivatives to evaluate signed area.

Pure Mathematics 1 · Differentiation and integration revision · 1.7 / 1.8
Exam scope and assessment notes

Pure Mathematics 1 (Paper 1) · Mathematics 9709, 2026–2027. This revision lesson focuses on stationary points and finite polynomial integrals/areas; it does not cover all of sections 1.7–1.8, improper integrals or volumes of revolution. Written solutions use self-check criteria, not an official mark scheme. Specialist accuracy review has not been completed. The diagram illustrates a different cubic from the practice questions; use the function specified in each question.

Before you begin

  • Differentiate and integrate polynomial terms, including constants.
  • Factor a quadratic and use signs on intervals to interpret a curve.

Work on paper. Try each question before revealing help, and explain why your method works.

Quick readiness check

A differentiable function has f′(4) = 0, f(4) = −3 and f″(4) = 6. Which description is justified?

What you will learn

  • Locate stationary points.
  • Evaluate a definite integral with limits.
Stationary points guide a curve sketch01234-202468Maximum (1, 5)Minimum (3, 1)(0, 1)xy
For y = x³ − 6x² + 9x + 1, the stationary points are a local maximum (1, 5) and a local minimum (3, 1), with y-intercept (0, 1). The curve rises for x < 1, falls for 1 < x < 3 and rises for x > 3. Its second derivatives at the stationary inputs are −6 and 6 respectively. The plotted window is −0.25 ≤ x ≤ 4.25; the curve continues beyond it, so the local maximum is not a greatest value over the entire real domain.

Differentiate to study change

For a power term axⁿ, the derivative is anxⁿ⁻¹. Differentiate a sum term by term. A stationary point has derivative zero; finding the point also requires substituting x into the original function.

A second derivative can classify a stationary point when it is non-zero: positive indicates a local minimum and negative a local maximum. If it is zero, this test alone is inconclusive.

Integration reverses differentiation

For n≠−1, an antiderivative of axⁿ is axⁿ⁺¹/(n+1). Add a constant for an indefinite integral. For a definite integral, calculate F(upper)−F(lower); the arbitrary constant cancels.

A definite integral gives signed area. Regions below the x-axis contribute negatively. If the question asks for total geometric area, split at roots and account for the signs.

∫ₐᵇ f(x) dx = F(b)−F(a)

Sources for this lesson

Pause and explain

Between the stated bounds, a graph encloses 3 square units above the x-axis and 8 square units below it. What are the definite integral and the total geometric area?

Put the idea to work

Worked example

Evaluate the integral of 2x+3 from x=1 to x=4.

Show the worked solution
  1. An antiderivative is F(x)=x²+3x.
  2. F(4)=16+12=28 and F(1)=1+3=4.
  3. Subtract lower from upper: 28−4.

Answer 24

From guided practice to a new situation

Write your answer and reasoning first. Use a hint only if you are stuck. The model solution is for self-checking; your written work is not automatically marked.

1 · Guided

For f(x) = x³ − 3x² − 9x + 6, find every stationary point and classify it. Show full coordinate pairs and how the gradient changes between them.

Give me a hint

Factor f′(x), then evaluate f and f″ separately at each stationary input.

Compare my reasoning
  1. f′(x) = 3x² − 6x − 9 = 3(x − 3)(x + 1), so the stationary inputs are x = −1 and x = 3.
  2. Using the original function, f(−1) = 11 and f(3) = −21. The points are (−1, 11) and (3, −21).
  3. f″(x) = 6x − 6. At −1 this is −12, giving a local maximum; at 3 it is 12, giving a local minimum.
  4. The derivative is positive for x < −1, negative for −1 < x < 3 and positive for x > 3. These signs confirm both classifications; the factored quadratic gives no other stationary inputs.

Local maximum (−1, 11); local minimum (3, −21).

Look for these in your work

  • Solve the derivative equation completely.
  • Find heights from the original function, not from its derivative.
  • Justify each nature with a non-zero second derivative or gradient signs.
2 · Independent

For y = x² − 4 on −1 ≤ x ≤ 3, calculate the definite integral and the total area between the curve and the x-axis. Explain why taking the absolute value of the integral does not give the area.

Give me a hint

Locate roots inside the interval before deciding which pieces need their signs reversed.

Compare my reasoning
  1. The roots are −2 and 2, but only 2 is inside [−1, 3]. The curve is below the axis on [−1, 2) and above it on (2, 3].
  2. Use F(x) = x³/3 − 4x. F(−1) = 11/3, F(2) = −16/3 and F(3) = −3. The signed pieces are −9 and 7/3.
  3. The definite integral is −9 + 7/3 = −20/3. The geometric area is 9 + 7/3 = 34/3 square units. The magnitude 20/3 of the net integral has already lost area through cancellation.

Signed integral −20/3; total area 34/3 square units.

Look for these in your work

  • Split only at roots within the given bounds.
  • Evaluate an antiderivative at every required endpoint.
  • Add signed contributions for the integral and positive magnitudes for area.
3 · Transfer

For y = 2(x + 1)⁴ − 7, find and classify the stationary point. A learner says that y″ = 0 there means there is no maximum or minimum. Evaluate this claim without assuming the second-derivative test gives an answer.

Give me a hint

Use the sign of y′ on both sides; the original fourth power gives a second way to check the conclusion.

Compare my reasoning
  1. y′ = 8(x + 1)³ is zero only at x = −1. The original function gives y = −7, so the stationary point is (−1, −7).
  2. y″ = 24(x + 1)² is zero there. This makes the second-derivative test inconclusive; it does not rule out an extremum.
  3. For x < −1, y′ is negative; for x > −1, y′ is positive. The curve decreases then increases, so the point is a minimum. Also 2(x + 1)⁴ ≥ 0 for every real x, so −7 is the global minimum value.

Minimum (−1, −7); y″ = 0 makes the second-derivative test inconclusive, not the point unclassifiable.

Look for these in your work

  • Find the full stationary coordinate pair.
  • State the precise limitation of the second-derivative test.
  • Use gradient signs or the non-negative fourth power to justify a minimum.

Common mistakes

  • Do not substitute limits into the derivative instead of the antiderivative.
  • A stationary x-coordinate is not a full coordinate pair.
Recall without your notes

What can you explain now?

Find the stationary point of y=x²−6x+2.

Compare with the explanation

(3,−7), a minimum

The derivative 2x−6 is zero at x=3. Substitution gives −7, and the second derivative is 2>0.

After trying it yourself, choose your next review. This is your self-assessment.

Your review choice appears on Today. Sign in to sync it across devices.

Make it stick

Distinguish the equations f′(x) = 0 and f(x) = 0. Explain what to do when the second-derivative test is inconclusive, then describe why signed integral and total area require different treatment at an axis crossing.

If you needed the solution, close it and solve the problem again from a blank page. A correct answer is stronger when you can explain the reason for each step.

Keep learning Mathematics

Course scope and assessment

312 sequenced lessons provide 936 guided, independent and application problems covering the 160 objectives in sections 1.1–1.8, 2.1–2.6, 3.1–3.9, 4.1–4.5, 5.1–5.5 and 6.1–6.5. The map lists all 38 sections across six alternative components; all eight Pure Mathematics 1 sections and all six Pure Mathematics 2 sections, from Paper 2 Algebra through Numerical solution of equations, currently have full teaching sequences. Paper 3 Algebra, section 3.1, links the six shared foundation lessons plus six lessons on partial fractions and rational binomial expansions; Paper 3 logarithms, trigonometry and numerical equations use the shared lessons, with the Paper 1 graph foundation linked into trigonometry. Paper 3 differentiation combines the shared methods with its inverse-tangent derivative lesson. Paper 3 Integration links four shared standard and identity lessons plus seven advanced lessons, covering all six section 3.5 requirements. Eight Vectors lessons cover all six section 3.7 requirements, with 2D and 3D line and solid applications. Nine Differential equations lessons cover all four section 3.8 requirements, including Paper 3 integration techniques, initial conditions, equilibrium solutions and conditional model interpretations. Eleven Complex numbers lessons cover all eight section 3.9 requirements, with seven Argand diagrams and explicit argument and boundary checks. All nine Pure Mathematics 3 sections now have teaching linked to every mapped requirement. Nine Forces and equilibrium lessons cover all seven section 4.1 requirements, with six force diagrams, signed incline-friction intervals, reaction-dependent pull and push limits and separate-body third-law checks. Nine Kinematics lessons cover the four official section 4.2 requirements, with the graph requirement mapped to three relationships. Six motion diagrams support directed quantities, graph slopes and signed areas, Paper 1 time-calculus methods, reversal distances, constant-acceleration stages and shared-clock particle meetings. Six Momentum lessons cover both section 4.3 requirements, including signed system totals, conservation assumptions, outgoing velocities, coalescence, unknown masses and successive impacts. Four diagrams show system momentum through the stipulated events, and supplied kinetic-energy checks distinguish conservation of momentum from changes in kinetic energy. Twelve Newton’s laws lessons cover all four section 4.4 requirements, with vertical support and release stages, rough horizontal and incline motion, inferred parameters, hanging and surface pulley systems, rigid tow-bar thrust and slack-string transitions. Seven force diagrams support the separate-particle balances. Nine Energy, work and power lessons cover all five section 4.5 requirements, with angle-dependent work, kinetic and reference potential energy, signed net-work balances, smooth curved slides, rough and driven slopes, ideal connected-system energy and instantaneous power on hills. Five diagrams distinguish the energy inputs, losses and valid positive-speed force model. All five Mechanics sections now have teaching and staged practice linked to their mapped requirements. Thirteen Representation of data lessons cover all five section 5.1 requirements, including choice and limitations of displays, ordered and back-to-back stems, raw summaries and box plots, unequal-width density histograms, cumulative-frequency interpolation, descriptive moment calculations, grouped estimates, coding, combining two datasets and correcting totals. Six accessible diagrams retain repeated observations and distinguish numerical spread, frequency area and estimated readings. Ten Permutations and combinations lessons cover both official section 5.2 requirements, with selection and ordered roles, repeated objects, adjacency blocks, non-adjacency gaps, leading-zero cases, labelled multi-row seating and mixed restrictions. Six accessible diagrams show outcome trees, ordered versus unordered choices, repeated copies, blocks, gaps and distinct row seats. Eleven Probability lessons cover all four section 5.3 requirements, with equiprobable elementary outcomes, selection-based probabilities, complements and disjoint regions, independence tests, restricted sample spaces, two-way tables, replacement and removal trees, reversed conditions and unknown parameters. Seven accessible diagrams show dice outcomes, random subsets, event regions, a conditioned grid, a count table and two probability trees. Twelve Discrete random variables lessons cover all three official section 5.4 requirements, with complete probability tables, moment and parameter checks, binomial assumptions, exact probabilities and moments, geometric first-success probabilities, tails, expectation and integer reliability thresholds. Six accessible diagrams distinguish outcome grouping, weighted moments, fixed trials, discrete probability bars, waiting conventions and integer tail deadlines. Twelve Normal distribution lessons cover all three official section 5.5 requirements, with continuous-area interpretation, MF19 cumulative tables, full standardisation, tail and interval regions, conditional probabilities, percentiles, one- and two-parameter inference, binomial suitability, continuity corrections and approximate integer thresholds. Seven accessible diagrams show model areas, table reading, aligned scales, intervals, quantiles, matched binomial and normal shapes and whole integer cells. All five Statistics 1 sections now have teaching and staged practice linked to their mapped requirements. Fourteen Poisson distribution lessons cover all five official section 6.1 requirements, with homogeneous event-count assumptions, exposure scaling, exact masses and tails, conditional count events, moments, parameter inference, probability duration targets, disjoint and overlapping windows, rare-count binomial approximations, matched normal approximations and continuity corrections. Nine accessible diagrams show event exposures, unit conversions, discrete bars, complete tail complements, population moments, shared windows, approximate count models and integer cells. Exact checks distinguish approximate and exact close-target decisions. Fourteen Linear combinations lessons cover the six listed results in official section 6.2, with affine moments, signed scales and constant cases, expectation without independence, independent squared variance contributions, fixed and random fees, independent copies versus reused values, affine normal events, independent normal sums and differences, weighted and conditional areas, coefficient inference, exact independent Poisson sums and overlapping exposure limits. Nine accessible diagrams distinguish scale changes, variance contributions, component costs, copy mechanisms, aligned normal scales, summed areas, Poisson count pairs and unsupported distribution claims. Fourteen Continuous random variables lessons cover both official section 6.3 requirements, with density validity and units, support-aware intervals, complements and conditional regions, first and second moments, percentiles by direct density areas, symmetry checks, parameter inference, infinite-support power and exponential integrals, divergent-moment limits and combined applications. Nine accessible diagrams distinguish density height from probability, normalisation, negative-density failures, central and conditional areas, mean versus median, percentile locations and partial infinite tails. Explicit cumulative distribution function knowledge is not required. Eighteen Sampling and estimation lessons cover all eight official section 6.4 requirements, with population and frame definitions, random-number selection, sampling-quality limits, independent sample-mean moments, normal means, CLT conditions, SE scaling, raw, summarised and coded unbiased estimates, known-variance and large-sample mean intervals, repeated-sampling interpretation, precision planning, proportion intervals, sparse-outcome limits and contextual applications. Ten accessible diagrams distinguish selection frames, number rejection, repeated sample means, population versus mean density, CLT models, variance divisors, interval targets, illustrative coverage, integer size checks and proportion margins. Eighteen Hypothesis tests lessons cover all five official section 6.5 requirements, with pre-specified alternatives, inclusive count tails, explicit equal-tail conventions, integer critical regions and actual significance, exposure-aware Poisson tests, continuity-corrected count approximations, normal and large-sample mean tests, confidence-interval connections, error classifications, fixed-region binomial, Poisson and normal error probabilities and sample-size power comparisons. Nine accessible diagrams show the testing procedure, exact count regions, unequal Poisson tails, discrete significance jumps, corrected count boundaries, matching mean intervals and alternative error distributions. All shared lessons are counted once in the course total. All 38 sections now link teaching and practice. Eight earlier overview lessons remain available, but do not count as full section coverage. This is a content-availability measure, not full programme completion or exam readiness. Written practice is self-checked, not officially marked. Check the 2028–2030 syllabus separately if sitting an examination from 2028; this teaching map uses 2026–2027 requirements.

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