AS Physics Notes – Kinematics & Accelerated Motion
Book & Series Overview
Coursebook: Physics for Cambridge International AS & A-Level (9702) – 3rd edition, Cambridge University Press (2020)
Authors: David Sang, Graham Jones, Gurinder Chadha, Richard Woodside
Structure
Chapters 1–15 + P1: AS content
Chapters 16–31 + P2: A-Level content
Appendices: Physical quantities & units, Data & formulae, Maths equations & conversions, Periodic table, Glossary, Index
Key recurring concepts
Models of physical systems
Testing predictions against evidence
Mathematics as a language & problem-solving tool
Matter, energy & waves
Forces & fields
Study & Pedagogic Features
Learning Intentions, Before-You-Start questions, Science-in-Context boxes, Key Words/Definitions/Equations, Worked Examples, Questions, Reflection, Summaries, Exam-style questions, Self-evaluation checklists
Command-word glossaries and margin definitions
Practical Activities embedded + dedicated skills Chapters P1 (AS) & P2 (A-Level)
Practical Skills Highlights (preview)
P1 focuses on: Using apparatus, following instructions, gathering evidence, handling precision/accuracy/errors/uncertainties, recording & analysing results, combining uncertainties, identifying limitations & improvements.
P2 adds: Planning investigations, advanced treatment of uncertainties, conclusions & evaluation.
Chapter 1 – Kinematics: Describing Motion
Fundamental Quantities
Distance (scalar) – total path length
Displacement (vector) – distance in a specified direction
Speed (scalar) – rate of change of distance
Velocity (vector) – rate of change of displacement or speed in a given direction
Acceleration (vector) introduced qualitatively here; formal definition in Ch. 2
Key Equations
Average speed:
Instantaneous speed – value at an instant (e.g. speedometer reading)
Velocity: or (with direction)
Units & Conversions
SI: for speed/velocity
Other common: – convert when required
Graphical Analysis
Displacement–time graph
Gradient velocity
Straight line ⇒ constant velocity
Zero gradient ⇒ stationary
Curved graph ⇒ changing velocity (acceleration)
Velocity–time graph introduced (pre-empt): area under gives displacement; gradient gives acceleration (formalised Ch. 2)
Vector Concepts
Vector quantity: magnitude + direction, can be represented by arrows; examples: displacement, velocity, acceleration, force
Scalar quantity: magnitude only; examples: distance, speed, time, mass, energy, work, pressure, density
Resultant vector – single vector equivalent to combined effect of multiple vectors
Vector Addition (same plane)
Triangle (head-to-tail) or parallelogram method
Pythagoras when perpendicular:
Direction via trigonometry:
Vector Subtraction: where has same magnitude, opposite direction
Components
Any vector at angle to -axis: ,
Laboratory Measurement of Speed
Methods
Two light gates – average speed between known separation
Single light gate with interrupt card – instantaneous speed
Ticker-timer – dots every (for 50 Hz mains); section lengths give distance/time
Motion sensor + data-logger – displacement–time graph generated automatically
Factors when choosing method: average vs instantaneous, precision in time, ease of setup
Chapter 2 – Accelerated Motion
Definition & Units
Acceleration : rate of change of velocity
SI unit: (metres per second squared)
Positive → speeding up in +ve direction; negative (deceleration) → slowing down / acceleration opposite velocity
Determining Graphically
Velocity–time graph: gradient
Displacement from graph: area under curve (rectangle/triangle or integration)
For curved graph (non-uniform ): instantaneous from tangent gradient
Equations of Uniform (Constant) Acceleration – “SUVAT” set
Symbols
displacement
initial velocity
final velocity
constant acceleration
time
Derivations
From definitions + graph; average velocity when constant
Combine with to obtain remaining relations
Laboratory Measurement of Acceleration
Dual-interrupt card with single light gate – two instantaneous velocities & time between →
Two light gates – measure , & time
Ticker-timer – analyse increasing spacings; compute for successive intervals then gradient of
Motion sensor – differentiates displacement data but less precise due to double differentiation noise
Acceleration of Free Fall
Near Earth’s surface (vector downwards)
Experimental determination
Electromagnet + trapdoor timer: ball falls known , time →
Plot vs , gradient
Systematic error sources: residual magnetism (delay), air resistance
Ticker-timer method – larger mass to reduce tape friction systematic error
Free-fall light gate (dual-beam card) – measure , after distance or time between beams
Motion sensor tracking vertical drop – less precise but immediate graph
Uncertainty treatment:
Projectile Motion (Neglecting Air Resistance)
Treat horizontal and vertical motions separately → independence principle
Horizontal motion
No acceleration ()
Constant velocity
Horizontal displacement:
Vertical motion
Constant acceleration (downwards)
Initial vertical velocity
Use SUVAT for vertical quantities (sign carefully)
Range (landing at launch height): – maximum when
Time of flight (level ground):
Maximum height:
Parabolic trajectory:
Example calculations
Horizontal launch from height : time ; horizontal range
Oblique launch: resolve initial ; use vertical motion to find time to apex, total flight, etc.
Worked-Example Highlights
Bus accelerating from rest: when
Rocket lift-off for ⇒
Car after ⇒ via
Determining example: → (shows systematic error effects)
Projectile fired → , , time in air , range
Uniform vs Non-uniform Acceleration
Uniform ( constant) → straight-line graph → SUVAT applicable
Non-uniform ( variable) → curved graph → use tangents for instantaneous , count-squares / integration for displacement
Common Misconceptions & Tips
At top of projectile path, vertical component of velocity is zero but horizontal component is unchanged → speed ≠ 0.
Negative acceleration doesn’t always mean ‘slowing’: depends on chosen +ve direction.
When splitting vectors, always sketch, label axes, and keep consistent sign conventions.
Always include units; check dimensional consistency (e.g. ).
For free-fall timing experiments, minimise air currents and use small dense objects to reduce .
Ethical & Real-World Connections
Automotive safety: micro-mechanical accelerometers trigger airbags & stability control; require millisecond-scale detection of ⟹ importance of understanding rapid decelerations.
Police crash investigations use skid-mark physics & SUVAT to estimate pre-impact speeds; informs legal responsibility.
Sports analytics (cheetah sprint, long-jump): combining biomechanics with kinematics for performance optimization.
Key Formula Summary (LaTeX-ready)
SUVAT set (uniform ):
Free-fall height: (for )
Vector components:
Projectile (level ground):
Self-Check Prompts (for revision)
Can I derive each SUVAT equation from a graph?
Can I switch between graphical, algebraic, and experimental approaches for , , and ?
Am I fluent converting units (e.g. )?
When given a projectile problem, do I immediately resolve and tabulate vertical vs horizontal data?
Do I account for directions (signs) consistently and state them in final answers?