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A Level · Cambridge (CIE) · 9709

Model an approach to a limiting value from above or below

Solve a rate proportional to an excess or deficit, use data to calibrate the approach and interpret the limit without claiming it is reached.

Pure Mathematics 3 · Differential equations · 3.8
Exam scope and assessment notes

Pure Mathematics 3 (Paper 3, A Level) · Mathematics 9709, 2026–2027, section 3.8. Paper 1 calculus and Paper 3 Integration are assumed. This pathway uses first-order separable equations, including Paper 3 integration methods, with all context assumptions supplied. Second-order equations and integrating-factor methods are beyond this mapped requirement. Check factors before dividing, retain equilibrium solutions, and state the interval and physical meaning of an initial-value solution. Written practice is self-checked; human subject-teacher review remains pending.

Before you begin

  • Separate variables using a shifted dependent quantity.
  • Solve exponential equations with exact logarithms.

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

Quick readiness check

At 50°C in a 20°C environment, what is the excess temperature?

What you will learn

  • Solve y′ = −λ(y − a) and calibrate it from excess or deficit data.
  • Interpret the direction, threshold time and limiting value of the solution.
Halve the excess, not TT = 20 + 60 × 2^(−t/10)205080T (°C)t (min)010203040Dashed: limiting temperature 20°C
The curve is the supplied cooling model T = 20 + 60·2^(−t/10), with temperature in °C and time in minutes. Its marked values are T(0) = 80, T(10) = 50 and T(20) = 35. The excess above the fixed environment 20°C halves in ten minutes, rather than the whole temperature halving. The dashed red line is the limiting temperature 20°C. The model approaches it from above without reaching or crossing it in finite time, provided the stated cooling law continues to hold.

Solve for the excess or deficit

With a fixed limiting value a and λ > 0, dy/dt = −λ(y − a) separates to dy/(y − a) = −λ dt away from equilibrium. Integration gives y = a + Ae^(−λt), and y(0) = y₀ sets A = y₀ − a. If A > 0 the solution decreases from above a; if A < 0 it increases from below a. A = 0 gives the constant equilibrium that division initially excluded.

For an environment at 20°C, T(0) = 80°C and T(10) = 50°C, the excess falls from 60 to 30 in ten minutes. Hence λ = ln 2/10 per minute and T = 20 + 60·2^(−t/10). Halving applies to the excess above 20, not to the whole temperature. At t = 20 min the temperature is 35°C, not 20°C or half of its original temperature.

The equilibrium is approached from the starting side

For the same cooling model, reaching 25°C means the excess is 5. Thus 60·2^(−t/10) = 5, giving t = 10ln 12/ln 2, approximately 35.8 min. The exact environment temperature is only approached as t tends to infinity when A ≠ 0. Because an exponential never changes sign, the solution does not cross the fixed limiting value under this law.

A balance law can have this same form. V′ = 6 − V/10 equals −(V − 60)/10. Starting at 20 L gives V = 60 − 40e^(−t/10), increasing towards 60 L from below. This predicts a limiting volume under the stated inflow and outflow assumptions, not the size of an unstated tank. Identify the relevant excess or deficit before calibrating and state the assumptions for long-term predictions.

Pause and explain

Which quantity halves regularly in the model T′ = −λ(T − 20)?

Put the idea to work

Worked example

A supplied cooling law has environment 20°C, T(0) = 80°C and T(10) = 50°C, with time in minutes. Find T(t) and the time to 25°C.

Show the worked solution
  1. Use T = 20 + 60e^(−λt); the ten-minute observation gives e^(−10λ) = 1/2.
  2. Thus T = 20 + 60·2^(−t/10).
  3. At 25°C the excess is 5, so t = 10ln 12/ln 2 ≈ 35.8 min.

Answer T(t) = 20 + 60·2^(−t/10); reaches 25°C at 10ln 12/ln 2 ≈ 35.8 min.

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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

An environment is 18°C. A supplied cooling model has T(0) = 90°C and T(6) = 54°C. Find T(t), T(12) and the first time to 27°C.

Give me a hint

The excess halves from 72 to 36 in six minutes.

Compare my reasoning
  1. The model is T = 18 + 72·2^(−t/6).
  2. At 12 min the excess is 18, giving T = 36°C.
  3. At 27°C the excess is 9 = 72/8, so three excess halvings take 18 min.

T = 18 + 72·2^(−t/6); T(12) = 36°C; reaches 27°C at 18 min.

Look for these in your work

  • Use the environment offset in both calibration observations.
  • Solve the requested excess threshold and return to the full temperature.
2 · Independent

A supplied warming law is T′ = −λ(T − 24), λ > 0. T(0) = 8°C and T(4) = 16°C. Find T(t), T(8) and its limiting behaviour, with time in minutes.

Give me a hint

The signed initial deviation is −16, and its magnitude halves in four minutes.

Compare my reasoning
  1. Use T = 24 − 16e^(−λt); at t = 4 the deficit is 8, so λ = ln 2/4.
  2. Thus T = 24 − 16·2^(−t/4), giving T(8) = 20°C.
  3. The derivative is positive below 24, and the model approaches 24°C from below without crossing or reaching it at finite time.

T = 24 − 16·2^(−t/4); T(8) = 20°C; limit 24°C from below.

Look for these in your work

  • Keep the negative initial deviation.
  • Interpret the rate sign and the limiting value on the forward interval.
3 · Transfer

A supplied volume balance is V′ = 6 − V/10, V(0) = 20 L, with t in minutes. Find V(t), the first time to 50 L and the limiting volume.

Give me a hint

Rearrange the law as a rate proportional to the deficit from 60.

Compare my reasoning
  1. Integration and the initial value give V = 60 − 40e^(−t/10).
  2. At V = 50 the deficit is 10, so e^(−t/10) = 1/4 and t = 10ln 4 ≈ 13.9 min.
  3. The volume increases towards 60 L from below, assuming the inflow and outflow law remain valid.

V = 60 − 40e^(−t/10); reaches 50 L at 10ln 4 ≈ 13.9 min; limit 60 L.

Look for these in your work

  • Check the starting value and the balance equation.
  • Distinguish a conditional limiting volume from an unstated tank capacity.

Common mistakes

  • Calibrate using excess or deficit rather than the full quantity.
  • A solution starting below the limiting value can increase under the same negative-excess law.
  • A limiting value is not automatically reached at finite time or a physical capacity.
Recall without your notes

What can you explain now?

For y = a + Ae^(−λt), λ > 0 and A < 0, how does y approach a?

Compare with the explanation

It increases towards a from below.

The negative deviation becomes smaller in magnitude while retaining its sign.

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Make it stick

Solve a shifted proportional-rate equation, calibrate its deviation and explain whether the solution approaches the limit from above or below and when a threshold is reached.

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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