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A Level · Cambridge (CIE) · 9709

Use velocity time gradients and signed areas

Sketch piecewise velocity graphs, calculate acceleration from slope and separate signed displacement from total distance.

Mechanics · Straight-line kinematics · 4.2
Exam scope and assessment notes

Mechanics (Paper 4, AS & A Level) · Mathematics 9709, 2026–2027, section 4.2. Motion is restricted to one dimension. Choose a positive direction; distance and speed are scalars, while displacement, velocity and acceleration carry a direction. Deceleration means decreasing speed, not necessarily negative acceleration. Calculus uses Paper 1 techniques only. Constant-acceleration formulae require constant acceleration on the stated interval; use a new interval and its initial velocity when conditions change. Where vertical motion occurs, use the supplied g = 10 m s⁻² and the stated no-air-resistance model. Written practice is self-checked; human subject-teacher review remains pending.

Before you begin

  • Calculate triangle and trapezium areas.
  • Interpret signed velocities and solve a linear equation.

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

Quick readiness check

Velocity changes from 2 to 8 m s⁻¹ over 3 s on a straight graph. What is acceleration?

What you will learn

  • Calculate acceleration from a velocity–time gradient.
  • Use positive and negative areas to distinguish displacement and distance.
The velocity–time graph joins (0, 0), (2, 6), (5, 6) and (9, −2) with straight segments. Slopes give accelerations +3, 0 and −2 m s⁻². The final line crosses v = 0 at 8 s. Green shading has positive area 6 + 18 + 9 = 33 m; red shading has signed area −1 m. Displacement is 32 m and distance is 34 m. The colours mark area signs, while the caption and axis labels provide the same information in words.Slope: accelerationSigned area: displacementv (m s⁻¹)t (s)02589v = 6Positive area 33 mNegative area −1 mv = 0 at 8One-dimensional motion · labelled units
The velocity–time graph joins (0, 0), (2, 6), (5, 6) and (9, −2) with straight segments. Slopes give accelerations +3, 0 and −2 m s⁻². The final line crosses v = 0 at 8 s. Green shading has positive area 6 + 18 + 9 = 33 m; red shading has signed area −1 m. Displacement is 32 m and distance is 34 m. The colours mark area signs, while the caption and axis labels provide the same information in words.

Slope and area have different meanings

The vertical coordinate of a velocity–time graph is directed velocity. Its gradient gives acceleration, measured in m s⁻² when the axes use seconds and m s⁻¹. A horizontal segment means constant velocity and zero acceleration, not necessarily rest. A straight sloping segment models constant acceleration; a curved velocity graph has changing acceleration and needs a tangent to find its instantaneous value.

The signed area between the graph and time axis gives displacement. An area below the axis counts negatively. To find distance, add the magnitudes of all areas and split a segment where it crosses v = 0. A triangle or trapezium can evaluate a straight segment exactly; no calculus is needed for that geometry. A time-axis crossing may indicate a reversal, whereas a turning point of the velocity graph concerns acceleration and need not reverse the motion.

Label endpoints, crossing times and the full interval

Consider straight segments through (0, 0), (2, 6), (5, 6) and (9, −2). Accelerations are +3, 0 and −2 m s⁻² on their open intervals. The last line reaches v = 0 at t = 8 s: it takes 3 s to reduce velocity from 6 to zero after t = 5. Use that crossing to divide the last trapezium into positive area 9 m and negative area −1 m.

The first triangle gives 6 m, and the constant-velocity rectangle gives 18 m. Therefore total displacement is 6 + 18 + 9 − 1 = 32 m, while distance is 6 + 18 + 9 + 1 = 34 m. Draw the final negative-velocity segment below the axis and keep the endpoint time at 9 s. At the joins velocity remains continuous, but acceleration changes abruptly; use the neighbouring interval slopes rather than claiming one common acceleration there.

Pause and explain

Positive velocity area is 9 m and negative area is −4 m. What are displacement and distance?

Put the idea to work

Worked example

For a velocity graph joining (0, 0), (2, 6), (5, 6) and (9, −2), find the accelerations, zero-velocity crossing, displacement and distance.

Show the worked solution
  1. Segment gradients are (6 − 0)/2 = 3, 0, and (−2 − 6)/4 = −2 m s⁻².
  2. On the final segment, zero velocity occurs at 5 + 6/2 = 8 s; signed areas are 6, 18, 9 and −1 m.
  3. Displacement is 32 m, while distance adds all area magnitudes to give 34 m.

Answer Accelerations +3, 0 and −2 m s⁻²; crossing 8 s; displacement 32 m; distance 34 m.

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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 velocity graph joins (0, 0), (4, 8) and (6, 8). Find both accelerations and displacement, using seconds and m s⁻¹.

Give me a hint

The first region is triangular and the second is rectangular.

Compare my reasoning
  1. First acceleration is 8/4 = 2 m s⁻²; second acceleration is zero.
  2. First area is ½ × 4 × 8 = 16 m; second area is 2 × 8 = 16 m.
  3. All velocities are non-negative, so displacement and distance are both 32 m.

Accelerations 2 and 0 m s⁻²; displacement and distance 32 m.

Look for these in your work

  • Use segment duration rather than endpoint time for each gradient.
  • Connect the non-negative areas to the equality of distance and displacement.
2 · Independent

For v = 6 − 2t m s⁻¹ on 0 ≤ t ≤ 5 s, use the graph to find acceleration, reversal time, displacement and distance.

Give me a hint

Split the straight line where it crosses the time axis.

Compare my reasoning
  1. Acceleration is −2 m s⁻² and v = 0 at t = 3 s.
  2. The positive triangle has area ½ × 3 × 6 = 9 m; the final negative triangle has magnitude ½ × 2 × 4 = 4 m.
  3. Displacement is 9 − 4 = 5 m and distance is 9 + 4 = 13 m.

Acceleration −2 m s⁻²; reversal 3 s; displacement 5 m; distance 13 m.

Look for these in your work

  • Draw the endpoint velocity −4 m s⁻¹ below the axis.
  • Use signs for displacement and magnitudes for distance.
3 · Transfer

A velocity graph joins (0, 4), (2, 4), (4, 0) and (6, −4). Calculate accelerations, whole-journey displacement and distance, then average velocity and average speed.

Give me a hint

The last two segments lie on the same straight line but their areas have different signs.

Compare my reasoning
  1. Acceleration is zero for 0 < t < 2 and −2 m s⁻² for 2 < t < 6.
  2. Areas are +8, +4 and −4 m, so displacement is 8 m and distance is 16 m.
  3. Over 6 s, average velocity is 8/6 = 4/3 m s⁻¹ and average speed is 16/6 = 8/3 m s⁻¹.

Accelerations 0 then −2 m s⁻²; displacement 8 m; distance 16 m; average velocity 4/3 m s⁻¹; average speed 8/3 m s⁻¹.

Look for these in your work

  • Separate the zero crossing from a change in acceleration.
  • Divide both whole-journey quantities by the full 6 s.

Common mistakes

  • A graph’s height is velocity, not acceleration.
  • Below-axis area subtracts from displacement but adds to distance.
  • Split an area at each zero-velocity crossing when finding distance.
Recall without your notes

What can you explain now?

What does a horizontal velocity graph at v = −4 m s⁻¹ mean?

Compare with the explanation

Constant negative velocity and zero acceleration.

The particle moves at speed 4 m s⁻¹ in the negative direction rather than remaining at rest.

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

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Make it stick

A velocity graph’s gradient gives acceleration and its signed area gives displacement; split at v = 0 for total distance.

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. 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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. 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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. 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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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