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A Level · Cambridge (CIE) · 9709

Connect rates of change between related quantities

Differentiate a geometric relation, multiply by the changing input's rate and check the direction and units of the resulting rate.

Pure Mathematics 1 · Differentiation · 1.7

Pure Mathematics 1 (Paper 1) · AS & A Level Mathematics 9709, 2026–2027. Use an informal understanding of limits; formal general differentiation from first principles and points of inflexion are not required in section 1.7. Written practice is self-checked.

Before you begin

  • Differentiate powers and apply the chain rule.
  • Use geometric formulae and distinguish a quantity from its rate of change.

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

Which relation connects a circle's area rate to its radius rate?

What you will learn

  • Use the chain rule to connect rates such as dr/dt and dA/dt.
  • Recover an unknown input rate from a supplied output rate with correct units and signs.

Relate the quantities before relating their rates

If area A depends on radius r and r changes with time t, then dA/dt = (dA/dr)(dr/dt). For a circle A = πr², dA/dr = 2πr, so dA/dt = 2πr dr/dt. The gradient dA/dr alone has units cm²/cm = cm, while multiplying by dr/dt in cm/s gives area-rate units cm²/s.

At r = 5 cm with dr/dt = 2/5 cm/s, the circle's area rate is 2π(5)(2/5) = 4π cm²/s. Radius and radius rate are different inputs: use the actual radius at the instant, together with its stated rate. A negative radius rate would indicate shrinking and give a negative area rate for a positive radius.

Reverse the rate relation or change the geometric quantity

For a sphere V = (4/3)πr³, the relation is dV/dt = 4πr² dr/dt. If r = 3 cm and dr/dt = −1/5 cm/s, then dV/dt = −36π/5 cm³/s, so the volume decreases. The square of the radius is positive, but the signed radius rate still determines the direction of change.

When an area rate is given, rearrange its connected-rate equation instead of assuming it equals the radius rate. If a circle at r = 3 cm has dA/dt = 12π cm²/s, then dr/dt = 12π/[2π(3)] = 2 cm/s. Its circumference C = 2πr changes at dC/dt = 2π dr/dt = 4π cm/s. Constant geometric parameters must actually be fixed by the supplied model before treating them as constants.

A positive-radius circle has dr/dt < 0. What is the sign of dA/dt?

Put the idea to work

Worked example

A circle has radius 5 cm at an instant when dr/dt = 2/5 cm/s. Find its area rate at that instant.

Show the worked solution
  1. Start from A = πr² and differentiate with respect to r to get dA/dr = 2πr.
  2. Use dA/dt = (dA/dr)(dr/dt) = 2πr dr/dt.
  3. Substitute r = 5 and dr/dt = 2/5 to obtain 4π cm²/s, positive because the radius is increasing.

Answer dA/dt = 4π cm²/s at the stated instant.

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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

For a cube V = x³, find the volume rate when x = 5 cm and dx/dt = 1/5 cm/s.

Give me a hint

Differentiate volume with respect to side length, then multiply by the side's time rate.

Compare my reasoning
  1. dV/dx = 3x².
  2. The chain rule gives dV/dt = 3x² dx/dt.
  3. At the instant, dV/dt = 3(5²)(1/5) = 15 cm³/s.

15 cm³/s.

Look for these in your work

  • Use both the current side and its rate.
  • State volume-rate units rather than length-rate units.
2 · Independent

A sphere obeys V = (4/3)πr³. Find its volume rate when r = 3 cm and dr/dt = −1/5 cm/s.

Give me a hint

The negative radius rate indicates shrinking; retain its sign after differentiating.

Compare my reasoning
  1. dV/dr = 4πr².
  2. Thus dV/dt = 4πr² dr/dt.
  3. Substituting gives 4π(9)(−1/5) = −36π/5 cm³/s, indicating decreasing volume.

dV/dt = −36π/5 cm³/s; the volume decreases.

Look for these in your work

  • Differentiate the supplied sphere-volume formula.
  • Keep the signed rate and interpret its direction.
3 · Transfer

A circle at radius 3 cm has area increasing at 12π cm²/s. Find its radius rate and circumference rate using A = πr² and C = 2πr.

Give me a hint

Reverse the area-rate relation to find dr/dt before using it for circumference.

Compare my reasoning
  1. From dA/dt = 2πr dr/dt, obtain dr/dt = 12π/[2π(3)] = 2 cm/s.
  2. Differentiate circumference with respect to time: dC/dt = 2π dr/dt.
  3. Hence dC/dt = 4π cm/s; the two rates describe different lengths despite sharing length/time units.

dr/dt = 2 cm/s; dC/dt = 4π cm/s.

Look for these in your work

  • Rearrange the known output-rate relation to recover the input rate.
  • Use that rate in the second supplied geometric relation.

Common mistakes

  • A derivative with respect to r is different from a rate with respect to time.
  • Substitute both the current quantity and its rate, rather than confusing them.
  • Preserve negative rates and use units for the correct changing quantity.
Recall without your notes

What can you explain now?

For a cube V = x³, x = 5 cm and dx/dt = 1/5 cm/s. Find dV/dt.

Compare with the explanation

15 cm³/s.

Use dV/dt = 3x² dx/dt = 3(25)(1/5) = 15.

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

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Make it stick

Write a connected-rate equation with its variable units before substituting. Explain how you would reverse it when an output rate is supplied.

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.

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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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