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A Level · Cambridge (CIE) · 9709

Calculate signed linear momentum and combine moving particles

Use p = mv with consistent mass and velocity units, and distinguish a system’s signed total from the momentum of each moving body.

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

  • Use signed velocities on a one-dimensional axis.
  • Convert grams to kilograms and multiply quantities with units.

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

Quick readiness check

A 250 g particle moves left at 8 m s⁻¹, with right positive. Which momentum is correct?

What you will learn

  • Calculate linear momentum with its direction and SI units.
  • Add momenta on a shared signed axis without confusing zero total with stationary bodies.
Take right as positive. A has mass 3 kg and velocity +4 m s⁻¹, giving momentum +12 kg m s⁻¹. B has mass 2 kg and velocity −3 m s⁻¹, giving momentum −6 kg m s⁻¹. The signed system total is +6 kg m s⁻¹, not the sum of magnitudes 18. Velocity arrows indicate directions schematically; their lengths and body positions are not to scale. This is a momentum snapshot, not a predicted collision outcome.Momentum uses signed velocityRight is positive →A: 3 kg+4 m s⁻¹B: 2 kg−3 m s⁻¹pₐ = +12pᵦ = −6Momentum unit: kg m s⁻¹Total p = +6 kg m s⁻¹Velocity arrows and positions: schematic
Take right as positive. A has mass 3 kg and velocity +4 m s⁻¹, giving momentum +12 kg m s⁻¹. B has mass 2 kg and velocity −3 m s⁻¹, giving momentum −6 kg m s⁻¹. The signed system total is +6 kg m s⁻¹, not the sum of magnitudes 18. Velocity arrows indicate directions schematically; their lengths and body positions are not to scale. This is a momentum snapshot, not a predicted collision outcome.

Momentum combines mass with directed velocity

Linear momentum is p = mv, where m is the positive mass and v is velocity. With mass in kg and velocity in m s⁻¹, momentum is measured in kg m s⁻¹. It is directed: on a line, take right as positive and keep a leftward velocity negative. A 3 kg particle moving right at 4 m s⁻¹ has p = +12 kg m s⁻¹. A 2 kg particle moving left at 3 m s⁻¹ has p = −6 kg m s⁻¹, not +6.

Speed is a non-negative magnitude; velocity supplies the sign in p = mv. Mass remains positive even for leftward motion. A resting particle has zero momentum, but a light fast particle and a heavy slow particle can have the same momentum. Momentum is neither force, measured in newtons, nor kinetic energy, measured in joules. Writing units beside the calculation helps identify whether the question asks for the right physical quantity.

A total uses signed addition over the chosen system

For the 3 kg and 2 kg particles above, system momentum is +12 − 6 = +6 kg m s⁻¹. The positive result means a net rightward momentum, even though one body moves left. Adding magnitudes to obtain 18 would describe neither the signed total nor a conservation equation. State which bodies belong to the system before adding their momenta.

Two bodies can move while their total momentum is zero: 2 kg at +3 m s⁻¹ and 3 kg at −2 m s⁻¹ give +6 − 6 = 0. This does not mean each velocity is zero, and it does not tell you that the bodies will stop without an impact condition. A change in a particle’s momentum uses final minus initial signed momentum; a reversal can produce a larger change than the change of speed alone suggests.

Pause and explain

Two particles have momenta +6 and −6 kg m s⁻¹. What follows from the total being zero?

Put the idea to work

Worked example

Take right as positive. A 3 kg particle moves right at 4 m s⁻¹ and a 2 kg particle moves left at 3 m s⁻¹. Find each momentum and the total.

Show the worked solution
  1. For the first particle, pₐ = 3 × (+4) = +12 kg m s⁻¹.
  2. For the second, pᵦ = 2 × (−3) = −6 kg m s⁻¹.
  3. Add signed momenta: pₐ + pᵦ = +6 kg m s⁻¹, directed right.

Answer Momenta +12 and −6 kg m s⁻¹; total +6 kg m s⁻¹, rightwards.

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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

With right positive, find the momentum of a 250 g particle moving left at 8 m s⁻¹. State both signed value and direction.

Give me a hint

Convert the mass first and use a negative leftward velocity.

Compare my reasoning
  1. The mass is 0.25 kg and velocity is −8 m s⁻¹.
  2. Momentum is p = 0.25 × (−8) = −2 kg m s⁻¹.
  3. Its magnitude is 2 kg m s⁻¹ and its direction is leftwards.

p = −2 kg m s⁻¹; magnitude 2 kg m s⁻¹, leftwards.

Look for these in your work

  • Use the converted kilogram mass.
  • Keep the sign consistent with the chosen rightward positive direction.
2 · Independent

A 3 kg particle has velocity −2 m s⁻¹ and a 2 kg particle has velocity +5 m s⁻¹ on the same axis. Find their momenta and total.

Give me a hint

Multiply each mass by its own directed velocity before adding.

Compare my reasoning
  1. The first momentum is 3 × (−2) = −6 kg m s⁻¹.
  2. The second is 2 × 5 = +10 kg m s⁻¹.
  3. Their total is −6 + 10 = +4 kg m s⁻¹, in the positive direction.

Momenta −6 and +10 kg m s⁻¹; total +4 kg m s⁻¹.

Look for these in your work

  • Keep both individual signed values.
  • Interpret the direction of the net rather than adding speed magnitudes.
3 · Transfer

A 500 g particle reverses from 6 m s⁻¹ leftwards to 4 m s⁻¹ rightwards. Take right as positive. Find its initial momentum, final momentum and signed momentum change.

Give me a hint

Use final minus initial momentum, retaining the initial negative sign.

Compare my reasoning
  1. With m = 0.5 kg, initial momentum is 0.5 × (−6) = −3 kg m s⁻¹.
  2. Final momentum is 0.5 × 4 = +2 kg m s⁻¹.
  3. The change is +2 − (−3) = +5 kg m s⁻¹; it is not obtained by subtracting unsigned speeds.

Initial −3; final +2; change +5 kg m s⁻¹.

Look for these in your work

  • Convert 500 g correctly and describe the reversal with signed velocities.
  • Subtract the initial momentum rather than its magnitude.

Common mistakes

  • Use velocity rather than unsigned speed when directions differ.
  • Convert the mass to kilograms before reporting SI momentum.
  • Zero system momentum does not imply that every particle is at rest.
Recall without your notes

What can you explain now?

Can two moving particles have zero total momentum?

Compare with the explanation

Yes, if their signed momenta are equal in magnitude and opposite in direction.

The cancellation concerns the selected system’s sum, not each particle’s velocity.

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Make it stick

Choose one direction, convert mass units and calculate each mv before adding signed momenta for a system.

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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