Learn in your language
Skip to content
A Level · Cambridge (CIE) · 9709

Apply an initial condition and verify the solution branch

Use a stated starting point to determine a constant, choose the correct sign branch and verify the derivative and initial value.

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 and integrate with one constant.
  • Differentiate an implicit relation or a composite square root.

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

Quick readiness check

If y² = x² + C and y(0) = 2, what is C?

What you will learn

  • Use an initial condition to select a particular solution.
  • Check the chosen branch in both the original equation and the starting condition.

An initial condition determines a member of the family

For dy/dx = x/y, integration gives y² = x² + C. If y(0) = 2, substitution gives C = 4. The positive initial value selects y = √(x² + 4); the negative square root has the same implicit relation but fails the starting value. Differentiating gives y′ = x/√(x² + 4) = x/y, verifying the original equation. The radicand is positive for every real x, so this branch has no zero-denominator boundary.

A stated initial condition may occur at any x or t, not only zero. For dy/dx = 2x/y with y(1) = −3, integration gives y² = 2x² + C. Substitution gives C = 7 and the negative branch y = −√(2x² + 7). Its derivative is −2x/√(2x² + 7), which equals 2x/y. Squaring the initial value finds C but does not retain its sign; use the original condition again when choosing the branch.

Verify the function on its interval, not at one point only

For dy/dt = −y² with y(0) = 2, non-zero separation gives 1/y = t + C and C = 1/2. Thus y = 2/(1 + 2t). Its derivative −4/(1 + 2t)² equals −y² wherever the denominator is non-zero. The interval containing the initial point is t > −1/2; a forward elapsed-time model uses t ≥ 0. A formula on the other side of a pole does not extend this initial-value solution through the undefined point.

Use three checks: substitute the starting condition, differentiate the proposed function and compare with the original right-hand side, and state an interval where both are defined. If a solution is implicit, differentiate that relation and recover the original equation on the required branch. A correct constant alone does not prove a correct solution when a sign, denominator or time bound has been lost.

Pause and explain

Does checking y(0) alone prove that a formula solves a differential equation?

Put the idea to work

Worked example

Solve dy/dx = x/y with y(0) = 2 and verify the result.

Show the worked solution
  1. Integrate y dy = x dx to obtain y² = x² + C.
  2. The condition gives C = 4 and selects the positive square root y = √(x² + 4).
  3. Its derivative is x/y and its value at 0 is 2; the radicand is positive for all real x.

Answer y = √(x² + 4), for all real x.

Try a topic test

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

Test this topic →

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

Solve dy/dx = 3y with y(0) = −2 and verify both requirements.

Give me a hint

A negative starting value is carried by the multiplicative constant.

Compare my reasoning
  1. Separation gives y = Ae^(3x), including the possible equilibrium A = 0.
  2. The condition sets A = −2, so y = −2e^(3x).
  3. Differentiate to obtain −6e^(3x) = 3y, and evaluate y(0) = −2.

y = −2e^(3x), for all real x.

Look for these in your work

  • Retain the sign when exponentiating a logarithmic relation.
  • Check both the equation and the initial value.
2 · Independent

Solve dy/dx = 2x/y with y(1) = −3, retaining the appropriate branch.

Give me a hint

Integrate first; then use the original signed starting value.

Compare my reasoning
  1. Integrate y dy = 2x dx to obtain y² = 2x² + C.
  2. Use 9 = 2 + C, giving C = 7 and y = −√(2x² + 7).
  3. The derivative −2x/√(2x² + 7) equals 2x/y, and y(1) = −3.

y = −√(2x² + 7), for all real x.

Look for these in your work

  • Use the non-zero starting input when determining C.
  • Keep the negative root and verify the original denominator stays non-zero.
3 · Transfer

A supplied positive-amount model is dy/dt = −y² with y(0) = 2, where t is elapsed hours. Find y(t) and the time at which the amount first reaches 1.

Give me a hint

Integrate the reciprocal square and impose the starting value.

Compare my reasoning
  1. Integration gives 1/y = t + C; the condition gives C = 1/2.
  2. Thus y = 2/(1 + 2t) for t ≥ 0; its derivative equals −y².
  3. Set 2/(1 + 2t) = 1 to obtain t = 1/2 hour; the amount decreases on the forward interval.

y(t) = 2/(1 + 2t), t ≥ 0; reaches 1 at t = 1/2 h.

Look for these in your work

  • Verify the initial condition and rate equation.
  • Use the forward interval and solve the stated threshold rather than a different fraction.

Common mistakes

  • Substitute the actual starting input, which need not be zero.
  • A squared initial condition loses its sign; use it to choose the root branch.
  • Do not continue an initial-value solution through a pole or forbidden denominator.
Recall without your notes

What can you explain now?

For y² = x² + 4 and y(0) = −2, which branch is selected?

Compare with the explanation

y = −√(x² + 4).

The positive branch has the wrong initial sign even though it satisfies the same squared relation.

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

Use a non-zero-input or signed initial condition, choose a branch and verify the function against its derivative law and interval of definition.

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.

StudyForA · Learn with understanding

Original teaching content and links to official sources. Check your exam year and qualification before using a resource.