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A Level · Cambridge (CIE) · 9709

Find areas between curves with the correct boundary order

Solve intersections, identify the upper and lower boundary on each interval and integrate their positive difference.

Pure Mathematics 1 · Integration · 1.8

Pure Mathematics 1 (Paper 1) · AS & A Level Mathematics 9709, 2026–2027. Section 1.8 includes rational and linear-composite powers except exponent −1, simple improper integrals, areas and volumes about either coordinate axis, including regions away from the rotation axis. Written practice is self-checked.

Before you begin

  • Solve simultaneous curve equations to find intersections.
  • Evaluate definite integrals and check a function's sign on intervals.

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

Quick readiness check

On 0 < x < 1, which expression is the positive height between y = x and y = x²?

What you will learn

  • Find areas between a curve and a line or between two curves.
  • Split where boundary order changes rather than allow separate regions to cancel.

Integrate a strip height, not two unrelated areas

For vertical strips between curves y = u(x) and y = l(x), the height is upper minus lower: u(x) − l(x). Find the relevant intersections by equating the boundary expressions and check which is above on the interval. An area is ∫[u(x) − l(x)] dx where that ordering holds. It is not necessary for either curve to meet the x-axis; the difference measures the actual space between them.

The curves y = x and y = x² meet where x² = x, so x = 0 or 1. On 0 < x < 1 the line is above the parabola, giving area ∫₀¹(x − x²) dx = [x²/2 − x³/3]₀¹ = 1/6. Integrating the reverse difference would produce −1/6, signalling the wrong height order for a geometric area.

Intersections can change which curve is above

For y = x and y = x³, the intersections are x = −1, 0 and 1. On (−1, 0), x³ is above x; on (0, 1), x is above x³. The two regions have areas ∫₋₁⁰(x³ − x) dx = 1/4 and ∫₀¹(x − x³) dx = 1/4. Their total is 1/2. One integral of x − x³ over [−1, 1] is zero because it cancels two signed contributions, not because the regions are absent.

A sketch and a test input on each interval help prevent an incorrect boundary order. Use exact intersection values, including roots when necessary, until final evaluation. If a region is supplied with other vertical or horizontal boundaries, respect those bounds rather than assume all roots belong to the requested region. Check the dimensions of the strip and differential before reporting square units.

Pause and explain

For y = x and y = x³ on −1 ≤ x ≤ 1, why split at zero?

Put the idea to work

Worked example

Find the area enclosed by y = x and y = x².

Show the worked solution
  1. Solve x² = x to find intersections at x = 0 and 1.
  2. Between the intersections, x ≥ x², so integrate the height x − x².
  3. [x²/2 − x³/3]₀¹ = 1/2 − 1/3 = 1/6 square units.

Answer Area 1/6 square units.

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Choose Easy, Normal or Difficult. Save your answers and open worked review after finishing.

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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

Find the area enclosed by y = 4 − x² and y = 0.

Give me a hint

Find the roots and integrate the positive parabola between them.

Compare my reasoning
  1. The intersections satisfy 4 − x² = 0, giving x = −2 and 2.
  2. The positive height is 4 − x² and its antiderivative is 4x − x³/3.
  3. Endpoint subtraction gives (8 − 8/3) − (−8 + 8/3) = 32/3 square units.

Area 32/3 square units.

Look for these in your work

  • Use both roots as bounds.
  • Subtract the full lower endpoint value, including its signs.
2 · Independent

Find the area enclosed by y = 2x and y = x².

Give me a hint

Find intersections, then use a test input to choose the upper boundary.

Compare my reasoning
  1. Solve x² = 2x to obtain x = 0 and 2.
  2. On that interval the line is above the parabola, giving height 2x − x².
  3. The area is [x² − x³/3]₀² = 4 − 8/3 = 4/3 square units.

Area 4/3 square units.

Look for these in your work

  • Solve the correct intersection equation.
  • Integrate upper minus lower on the enclosed interval.
3 · Transfer

Find the combined area of the two regions enclosed by y = x and y = x³ on −1 ≤ x ≤ 1. Explain why the single integral of x − x³ is insufficient.

Give me a hint

Find all three intersections and check ordering on both sides of zero.

Compare my reasoning
  1. The intersections solve x(x² − 1) = 0: x = −1, 0 and 1.
  2. Use x³ − x on [−1, 0] and x − x³ on [0, 1]; each integral is 1/4.
  3. The combined area is 1/2 square units, while the unsplit signed integral of x − x³ is zero by cancellation.

Combined area 1/2 square units; the unsplit signed integral cancels to zero.

Look for these in your work

  • Change the boundary order at the interior intersection.
  • Explain the difference between two positive regions and a cancelling net value.

Common mistakes

  • Use the positive boundary difference on each interval.
  • An intersection inside the bounds can require a change of ordering.
  • Do not replace the area between curves with an area to an axis unless that axis is a boundary.
Recall without your notes

What can you explain now?

Find the area between y = 4 − x² and y = x².

Compare with the explanation

16√2/3 square units.

They meet at x = ±√2. The upper-minus-lower height is 4 − 2x², whose integral on those bounds is 16√2/3.

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

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Make it stick

Explain how you find the bounds and decide which curve is above on each part. Show why one interior intersection may require two integrals.

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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