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A Level · Cambridge (CIE) · 9709

Apply net work to kinetic energy on a level path

Add driving and resisting work with their signs, recover speed and verify a constant-force energy result with Newton’s law.

Mechanics · Energy, work and power · 4.5
Exam scope and assessment notes

Mechanics (Paper 4, AS & A Level) · Mathematics 9709, 2026–2027, section 4.5. Use g = 10 m s⁻² throughout these problems. Masses are positive and constant. Work by a constant force is Fd cos θ, with θ between force and displacement; scalar-product notation is not required. Kinetic energy is ½mv² and gravitational potential-energy change is mgΔh. State the system and count gravitational work or potential-energy change once, not both. Mechanical energy is conserved only under the stated loss-free model; friction and supplied resistance transfer mechanical energy to other forms. Smooth curved-slide examples use overall energy changes and assume contact throughout, rather than requiring a normal-reaction calculation. Average power is work divided by elapsed time; P = Fv applies to a force along the motion. Constant driving power generally gives variable force and acceleration; instantaneous calculations do not justify constant-acceleration formulae over a whole journey. Check string, contact and motion-state changes before continuing a model. Written practice is self-checked; human subject-teacher review remains pending.

Before you begin

  • Calculate signed work by parallel constant forces.
  • Use kinetic energy and rearrange for speed.

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

Quick readiness check

A drive does +100 J and resistance does −40 J on a level particle. What is the net work?

What you will learn

  • Apply total work = change in kinetic energy for a stated particle model.
  • Find a stopping distance or final speed and check the interval remains physical.
A 4 kg particle starts at speed 3 m s⁻¹ with kinetic energy 18 J. Over 5 m, the drive does +100 J of work and resistance does −40 J. Final kinetic energy is 78 J. The equal-width totals compare initial energy plus driving input with final energy plus the positive amount transferred by resistance. Segment widths are proportional to these energy amounts; the loss bar is positive 40 J, while the resistance’s signed work is negative.Count drive and resistance separatelyInitial K + driving work18 J+100 JKDriving inputFinal K + amount lost78 J40 JFinal KResistance loss18 + 100 − 40 = 78 JSigned resistance work: −40 J
A 4 kg particle starts at speed 3 m s⁻¹ with kinetic energy 18 J. Over 5 m, the drive does +100 J of work and resistance does −40 J. Final kinetic energy is 78 J. The equal-width totals compare initial energy plus driving input with final energy plus the positive amount transferred by resistance. Segment widths are proportional to these energy amounts; the loss bar is positive 40 J, while the resistance’s signed work is negative.

Use all the signed work contributions

On a horizontal path, weight and normal reaction do no work. If a 4 kg particle starts at speed 3 m s⁻¹, a 20 N drive does +100 J over 5 m while an 8 N resistance does −40 J. Net work is +60 J, so final K = initial K + 60 = 18 + 60 = 78 J. Therefore ½ × 4 × v² = 78 and final speed is √39 m s⁻¹, about 6.24.

The work-energy equation uses the sum of work by all forces on the selected particle. It is not a rule that the driving work alone equals ΔK when resistance acts. Energy gives speed rather than direction, so use the stated forward motion and any stopping event to interpret the root. A negative proposed final kinetic energy means the assumed travel cannot occur without a changed force or motion stage.

Stopping distance can be found without travel time

A 5 kg particle at speed 6 m s⁻¹ has K = 90 J. With only a constant 15 N opposing force on the level path, −15d = 0 − 90 gives d = 6 m to first rest. Continue neither the same resistance direction nor the negative-energy prediction beyond that rest event without a new model. The amount transferred from kinetic energy is 90 J, while the signed resisting work is −90 J.

For constant along-path forces, Newton’s law offers an independent check: a = (20 − 8)/4 = 3 in the first example. Then v² = 3² + 2 × 3 × 5 = 39, agreeing with energy. This cross-check uses a constant acceleration justified by constant resultant and positive mass. It is not valid for an entire constant-power journey where the driving force changes with speed.

Pause and explain

If a forward-travel calculation predicts negative final kinetic energy, what should you do?

Put the idea to work

Worked example

A 4 kg particle moves 5 m forward on a level path, starting at speed 3 m s⁻¹ under drive 20 N and opposing resistance 8 N. Find its final speed.

Show the worked solution
  1. Initial K = ½ × 4 × 3² = 18 J.
  2. Net work is (20 − 8) × 5 = 60 J, so final K is 78 J.
  3. Thus 2v² = 78, giving speed √39 m s⁻¹; Newton’s law gives the same squared speed.

Answer Final K = 78 J; speed √39 m s⁻¹, approximately 6.24.

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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 2 kg particle starts from rest and travels 3 m forward on a level path under constant drive 12 N and resistance 4 N. Find final kinetic energy and speed.

Give me a hint

Find net work before substituting into ½mv².

Compare my reasoning
  1. Net work is (12 − 4) × 3 = 24 J.
  2. Initial kinetic energy is zero, so final K = 24 J.
  3. Since ½ × 2 × v² = 24, final speed is 2√6 m s⁻¹.

Final K = 24 J; speed 2√6 m s⁻¹.

Look for these in your work

  • Subtract the work lost to resistance.
  • Choose the non-negative speed root.
2 · Independent

A 5 kg particle moves forward at 6 m s⁻¹ on a level path. A constant 15 N force opposes it until first rest. Find its stopping distance and signed work by that force.

Give me a hint

At first rest, final kinetic energy is zero.

Compare my reasoning
  1. Initial K = ½ × 5 × 36 = 90 J.
  2. The balance is −15d = −90, so d = 6 m.
  3. The opposing force does −90 J; the positive amount transferred out of kinetic energy is 90 J.

Stopping distance 6 m; resisting work −90 J.

Look for these in your work

  • Use the signed work of the opposing force.
  • End the calculation at first rest.
3 · Transfer

A 4 kg particle starts at speed 3 m s⁻¹ and travels 5 m forward under constant drive 20 N and resistance 8 N. Find final speed using energy, then check using acceleration.

Give me a hint

The same constant resultant allows an independent Newton-plus-kinematics check.

Compare my reasoning
  1. Initial K = 18 J and net work = 60 J, so final K = 78 J and v² = 39.
  2. Newton’s law gives a = (20 − 8)/4 = 3 m s⁻².
  3. Then v² = 9 + 2 × 3 × 5 = 39, so both methods give speed √39 m s⁻¹.

Speed √39 m s⁻¹; independent check a = 3 m s⁻² and v² = 39.

Look for these in your work

  • Include both force works in the energy method.
  • Justify constant acceleration before applying the motion formula.

Common mistakes

  • Add signed resistance work to the drive work.
  • Energy determines speed magnitude, not a velocity direction by itself.
  • A stopping event can end the stated sliding-force model.
Recall without your notes

What can you explain now?

Can the drive’s work alone be equated to ΔK when an opposing resistance also acts?

Compare with the explanation

No; the resistance’s negative work must also be included.

The kinetic-energy change equals total signed work on the selected particle.

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

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Make it stick

Total signed work changes kinetic energy; check every contribution and stop before an impossible negative-energy stage.

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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