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A Level · Cambridge (CIE) · 9709

Recover unknown masses or incoming velocities from an impact

Rearrange conservation for an unknown mass or velocity, substitute the result and reject claims that require a non-positive physical mass.

Section 4.3 · Momentum

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

  • Rearrange a linear equation with an unknown on both sides.
  • Interpret positive masses and signed velocities.

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

Quick readiness check

In 12 − 2m = 2 + m, what value of m satisfies the equation?

What you will learn

  • Solve inverse coalescence problems for a mass or incoming velocity.
  • Use positivity and weighted-velocity bounds to assess whether supplied data fit the model.

An unknown mass contributes on both sides

A 2 kg particle at +6 m s⁻¹ sticks to a resting particle of unknown mass m kg, and the common velocity is +1.5 m s⁻¹. Conservation gives 12 = (2 + m) × 1.5, so the combined mass is 8 kg and m = 6 kg. The unknown initially has zero momentum, but it still appears in the combined final mass. Substitute m = 6 into both sides to check the recovered value.

If the unknown body is moving, keep its signed initial contribution too. For a 2 kg particle at +6 and an m kg particle at −2 coalescing at +1 m s⁻¹, write 12 − 2m = 2 + m. This gives m = 10/3 kg. Dividing the final momentum by a guessed initial mass or removing the negative incoming sign would corrupt the inverse equation.

A mathematical result must fit the physical data

Positive masses make the common velocity lie between the two incoming signed velocities. If a 2 kg particle at +6 sticks to a resting body and allegedly leaves at +8, the equation 12 = (2 + m)8 gives m = −0.5 kg. That is not a valid physical mass: the reported outcome cannot fit the stated model with a positive second mass. Do not replace the negative result by its magnitude and call the problem solved.

An unknown initial velocity can be recovered without being positive. For a 2 kg body initially at +5 and a 3 kg body with velocity u, coalescing at −1 gives 10 + 3u = 5(−1), so u = −5 m s⁻¹. This is a valid negative direction rather than invalid negative mass. Distinguish mathematical signs by quantity, check the original momentum equation and state precisely which modelling condition fails if a result is impossible.

Pause and explain

An impact calculation requires m = −0.5 kg for a supposedly positive-mass body. What should be concluded?

Put the idea to work

Worked example

A 2 kg particle at +6 m s⁻¹ sticks to a resting particle of mass m kg. Their common velocity is +1.5 m s⁻¹. Find m with negligible external effects along the line.

Show the worked solution
  1. Conservation gives 2 × 6 + m × 0 = (2 + m) × 1.5.
  2. Divide by 1.5 to get 2 + m = 8, hence m = 6 kg.
  3. The mass is positive and final momentum 8 × 1.5 = 12 kg m s⁻¹ matches the initial total.

Answer Unknown mass m = 6 kg.

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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 3 kg particle moving at +4 m s⁻¹ sticks to a resting body of unknown mass. Their common velocity is +2 m s⁻¹. Find the unknown mass under the conservation model.

Give me a hint

The combined final mass equals incoming momentum divided by common velocity.

Compare my reasoning
  1. Initial momentum is 3 × 4 = 12 kg m s⁻¹.
  2. Write 12 = (3 + m) × 2, so 3 + m = 6.
  3. Hence m = 3 kg; final momentum 6 × 2 = 12 checks the result.

Unknown mass 3 kg.

Look for these in your work

  • Subtract the known mass from the combined mass.
  • Check the recovered mass is positive and satisfies the original balance.
2 · Independent

A 2 kg particle initially has velocity +5 m s⁻¹, while a 3 kg particle has unknown velocity u. They coalesce at −1 m s⁻¹. Find u with negligible external effects along the line.

Give me a hint

The final combined momentum is negative, so the unknown initial contribution must outweigh the positive one.

Compare my reasoning
  1. Final momentum is (2 + 3)(−1) = −5 kg m s⁻¹.
  2. Conservation gives 10 + 3u = −5, hence 3u = −15.
  3. Thus u = −5 m s⁻¹; the final velocity −1 lies between −5 and +5.

Unknown initial velocity u = −5 m s⁻¹.

Look for these in your work

  • Use the negative common final velocity.
  • Interpret a negative velocity as a direction rather than rejecting it as a negative mass.
3 · Transfer

A 2 kg particle at +6 m s⁻¹ sticks to a particle of mass m kg moving at −2 m s⁻¹. The common velocity is +1 m s⁻¹. Find m and verify both momentum and incoming-velocity bounds.

Give me a hint

The unknown moving mass contributes a negative incoming momentum and a positive final momentum.

Compare my reasoning
  1. Write 12 − 2m = (2 + m) × 1.
  2. Rearranging gives 10 = 3m, so m = 10/3 kg and combined mass is 16/3 kg.
  3. Incoming momentum is 12 − 20/3 = 16/3 kg m s⁻¹, matching final momentum; +1 lies between −2 and +6.

m = 10/3 kg; both momenta 16/3 kg m s⁻¹; common velocity +1 lies between −2 and +6.

Look for these in your work

  • Retain both appearances of the unknown mass.
  • Check the exact result, positivity and signed velocity bounds.

Common mistakes

  • A resting body still belongs to the final combined mass.
  • An unknown moving mass appears in both incoming and final momentum.
  • Negative velocity can be valid; negative mass cannot be repaired by taking its magnitude.
Recall without your notes

What can you explain now?

A particle at +6 m s⁻¹ sticks to a resting body of positive mass. Can their common velocity be +8 m s⁻¹ under this model?

Compare with the explanation

No; +8 lies outside the incoming velocity range from 0 to +6.

A positive-mass weighted average cannot exceed both incoming signed velocities.

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Make it stick

Place unknown contributions on both sides, solve exactly, substitute and distinguish valid negative directions from invalid masses.

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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