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A Level · Cambridge (CIE) · 9709

Find an unknown outgoing velocity after direct impact

Use one supplied outgoing velocity to solve the other, interpret rebounds and explain why conservation alone cannot determine two unknown velocities.

Mechanics · Momentum and direct impacts · 4.3
Exam scope and assessment notes

Mechanics (Paper 4, AS & A Level) · Mathematics 9709, 2026–2027, section 4.3. Direct impacts are restricted to one dimension. Choose one positive direction for all velocities and momenta. Conservation applies to the selected system when external effects in that direction are absent or negligible during the impact; it does not make each particle’s momentum constant. Coalescing bodies share a common final velocity and combined mass. Impulse and the coefficient of restitution are not required in this section. Kinetic energy need not be conserved; where used, its expression ½mv² is supplied as an additional model check. Bodies have positive constant masses; stated impact order and interval assumptions must be respected. Written practice is self-checked; human subject-teacher review remains pending.

Before you begin

  • Set up the signed conservation equation.
  • Solve a linear equation with two mass-weighted contributions.

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

Quick readiness check

A particle rebounds left at speed 3 m s⁻¹ with right positive. Which velocity enters conservation?

What you will learn

  • Solve a direct-impact conservation equation for an unknown velocity.
  • Interpret the sign and identify when further outcome information is required.

Associate each signed velocity with the correct mass

For a 2 kg particle initially at +6 m s⁻¹ and a 3 kg particle initially at −2 m s⁻¹, initial momentum is 12 − 6 = 6 kg m s⁻¹. If the 2 kg particle rebounds at −3 m s⁻¹, conservation gives 2(−3) + 3v = 6. Thus v = +4 m s⁻¹ for the 3 kg particle. Its direction comes from the solution, rather than being assumed from the incoming velocity.

Draw a before-and-after table with columns for mass, initial velocity and final velocity. The shared sign convention prevents an approaching particle’s speed from being treated as a positive velocity. After solving, substitute both outgoing momenta into the original equation. A negative answer is a valid directed velocity; it does not mean negative speed or negative mass. Report both its signed value and its physical direction if requested.

One conservation equation does not fix two independent outcomes

If both final velocities are unknown for that 2 kg and 3 kg pair, conservation gives only 2vₐ + 3vᵦ = 6. Both (vₐ, vᵦ) = (−3, 4) and (0, 2) satisfy it. The question must provide another relevant condition, such as one final velocity or bodies coalescing, to determine a unique result. Do not invent equal final velocities for bodies that remain separate.

For same-direction impacts, the faster particle must initially be behind the slower one to catch it; a supplied impact event establishes the relevant ordering. After a completed impact with bodies remaining separate, their separating directions or relative velocities must agree with the positions. A momentum balance alone does not impose a particular kinetic-energy behaviour. This section does not require introducing the coefficient of restitution or impulse to solve the stated problems.

Pause and explain

If 2(−3) + 3v = 6, what is the unknown velocity?

Put the idea to work

Worked example

A 2 kg particle at +6 m s⁻¹ collides directly with a 3 kg particle at −2 m s⁻¹. External effects along the line are negligible. The 2 kg particle rebounds at −3 m s⁻¹. Find the 3 kg particle’s final velocity.

Show the worked solution
  1. Initial momentum is 2 × 6 + 3 × (−2) = 6 kg m s⁻¹.
  2. Conservation gives 2 × (−3) + 3v = 6, so 3v = 12.
  3. Hence v = +4 m s⁻¹; substitution gives −6 + 12 = 6 kg m s⁻¹.

Answer The 3 kg particle leaves with velocity +4 m s⁻¹, in the positive direction.

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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

A 1 kg particle at +5 m s⁻¹ hits a resting 2 kg particle. The 1 kg particle then moves at −1 m s⁻¹. Find the other final velocity with negligible external effects along the line.

Give me a hint

Move the known negative outgoing momentum to the other side of the equation.

Compare my reasoning
  1. Initial momentum is 1 × 5 + 2 × 0 = 5 kg m s⁻¹.
  2. Conservation gives −1 + 2v = 5, so 2v = 6.
  3. The 2 kg particle has v = +3 m s⁻¹; the final total is −1 + 6 = 5.

Other final velocity +3 m s⁻¹.

Look for these in your work

  • Retain the known rebound’s negative sign.
  • Substitute the solution to verify the full system total.
2 · Independent

Particles of masses 3 kg and 2 kg approach with velocities +4 and −1 m s⁻¹. After direct impact, the 2 kg particle has velocity +3 m s⁻¹. Find the 3 kg particle’s final velocity under the conservation model.

Give me a hint

Initial total is a signed sum; the known final contribution belongs to the 2 kg body.

Compare my reasoning
  1. Initial momentum is 3 × 4 + 2 × (−1) = 10 kg m s⁻¹.
  2. Conservation gives 3v + 2 × 3 = 10, hence 3v = 4.
  3. The 3 kg final velocity is +4/3 m s⁻¹; its momentum 4 plus the other momentum 6 totals 10.

3 kg final velocity +4/3 m s⁻¹.

Look for these in your work

  • Pair the supplied +3 final velocity with mass 2 kg.
  • Keep the exact fraction before any requested rounding.
3 · Transfer

A 2 kg particle moving at +8 m s⁻¹ catches a 1 kg particle ahead moving at +2 m s⁻¹. After direct impact, the 1 kg particle has velocity +8 m s⁻¹. Find the 2 kg final velocity and check the particles can separate in their original ordering.

Give me a hint

For particles moving in the same direction, compare their outgoing velocities as well as the momentum sum.

Compare my reasoning
  1. Initial momentum is 2 × 8 + 1 × 2 = 18 kg m s⁻¹.
  2. The final balance is 2v + 8 = 18, so v = +5 m s⁻¹.
  3. The particle ahead leaves at 8 m s⁻¹ while the one behind leaves at 5 m s⁻¹, so their separation increases after impact.

2 kg final velocity +5 m s⁻¹; the front particle’s 8 m s⁻¹ exceeds the rear particle’s 5 m s⁻¹, so they separate.

Look for these in your work

  • Retain the stated same-direction geometry.
  • Check both the momentum total and post-impact separating velocities.

Common mistakes

  • A rebound reverses velocity sign, not mass sign.
  • Keep each final velocity with its own mass.
  • Two unknown outgoing velocities need more than a single conservation equation.
Recall without your notes

What can you explain now?

Can 2vₐ + 3vᵦ = 6 alone determine a unique pair of outgoing velocities?

Compare with the explanation

No; an additional outcome condition is required.

For example, (−3, 4) and (0, 2) both satisfy the same momentum equation.

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

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Make it stick

Write a mass-and-velocity table, solve the signed balance, substitute the result and check what the given information can determine.

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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