Introduction to Measurement
Contextual Reflection
Consider the challenge of cooking without measuring ingredients or constructing a building without measuring materials. Scientific investigation likewise depends upon reliable, standardised measurement. Every accepted physical law has emerged from reproducible, quantitative observation.
Physics is fundamentally an experimental science. Progress arises from precise observation, controlled comparison, and quantitative record. From Galileo’s kinematics studies to precision timing in modern particle accelerators, refined measurement enables theoretical development and technological application.
Modern navigation illustrates this dependence: global positioning systems function only because relativistic time dilation, gravitational frequency shifts, and atomic clock behaviour are measured and corrected with sub‑nanosecond resolution.
Power of High-Resolution Measurement
The 2017 gravitational‑wave detection (LIGO) required resolving differential length changes smaller than 10⁻¹⁸ m—orders of magnitude below atomic dimensions—demonstrating the role of instrumentation fidelity in contemporary physics.
Chapter Learning Objectives
- Physical Quantities: Distinguish scalar and vector forms; interpret operational definitions.
- SI Units: Apply the base units and construct derived units coherently.
- Dimensional Analysis: Validate relations and obtain structural dependence among variables.
- Precision & Errors: Characterise, combine, and report measurement uncertainty rigorously.
Advanced Perspective
Measurement at quantum and relativistic scales introduces intrinsic limits (e.g., Heisenberg uncertainty) distinct from instrumental limitations. These fundamental bounds inform experimental design and data interpretation in modern research domains.
Representative Application Thresholds
- Satellite Navigation: Timing stability ~10⁻⁸ s
- Magnetic Resonance Imaging: Spatial resolution ~10⁻⁴ m
- Semiconductor Fabrication: Feature control ~10⁻⁹ m
- Gravitational Wave Interferometry: Displacement sensitivity ~10⁻¹⁸ m
- Precision Spectroscopy: Frequency determination at parts per 10⁹ or better
1.1 Physical Quantities, Standards, and Units
Definition of a Physical Quantity
A physical quantity is any measurable property of matter or energy that can be used to explain physical phenomena in a quantitative way.
Components of a Physical Quantity
For a physical quantity to exist, it must have two essential parts:
- Numerical part (n): The numeric value (pure number)
- Unit part (u): An established standard reference part
Fundamental Relationship: n ∝ 1/u
The numerical part is inversely proportional to the unit part:
This formula is fundamental for unit conversions!
Example: Representation of Length
Numerical part (n) | Unit part (u) |
---|---|
5 | km |
5 × 10³ = 5000 | m |
5 × 10⁵ = 500,000 | cm |
5 × 10⁶ = 5,000,000 | mm |
Notice: As the unit gets smaller, the numerical value gets larger!
Principal Categories
- Scalar Quantities: Have magnitude only
Examples: mass (5 kg), time (10 s), temperature (25°C), energy (100 J) - Vector Quantities: Have both magnitude and direction
Examples: displacement (5 m north), velocity (10 m/s east), acceleration (9.8 m/s² downward)
Operational Definitions
Each physical quantity must have an operational definition - a precise description of how to measure it. This ensures anyone can reproduce the measurement anywhere in the world.
Example: Operational Definition of Velocity
Operational definition: "Change in position divided by time interval"
This tells us exactly how to measure velocity: measure the change in position, measure the time it took, then divide.
Characteristics of Good Physical Standards
For measurements to be meaningful worldwide, our standards must be:
- Accessible: Can be reproduced in laboratories worldwide
- Invariable: Unchanging over time and location
- Precise: Allows measurement to desired accuracy
- Reproducible: Independent measurements yield consistent results
1.2 The International System of Units (SI)
The International System of Units (SI) provides a standardized framework for measurement that enables scientists worldwide to communicate effectively. This system is built on seven fundamental base units from which all other units are derived.
Base Units of SI
Physical Quantity | SI Base Unit | Symbol | Definition |
---|---|---|---|
Length | meter | m | Distance light travels in vacuum in 1/299,792,458 second |
Mass | kilogram | kg | Mass of the international prototype kilogram |
Time | second | s | Duration of 9,192,631,770 periods of cesium-133 radiation |
Electric Current | ampere | A | Current producing force of 2×10⁻⁷ N/m between parallel wires |
Temperature | kelvin | K | 1/273.16 of thermodynamic temperature of water's triple point |
Amount of Substance | mole | mol | Amount containing as many particles as atoms in 0.012 kg carbon-12 |
Luminous Intensity | candela | cd | Luminous intensity of 1/683 watt per steradian at 540×10¹² Hz |
Derived Units
Many physical quantities are expressed using derived units, which are combinations of base units. Some common derived units have special names:
Quantity | Unit Name | Symbol | Base Unit Expression |
---|---|---|---|
Force | newton | N | kg⋅m⋅s⁻² |
Energy | joule | J | kg⋅m²⋅s⁻² |
Power | watt | W | kg⋅m²⋅s⁻³ |
Pressure | pascal | Pa | kg⋅m⁻¹⋅s⁻² |
Electric Charge | coulomb | C | A⋅s |
Voltage | volt | V | kg⋅m²⋅s⁻³⋅A⁻¹ |
SI Prefixes
SI prefixes allow concise representation of very large and very small numerical values. The most frequently used ranges in typical physics problems are highlighted.
Negative Powers (Sub-multiples) | ||||
---|---|---|---|---|
Prefix | Symbol | Multiplier | Power | Typical Example |
yocto | y | 0.000000000000000000000001 | 10⁻²⁴ | Quantum events |
zepto | z | 0.000000000000000000001 | 10⁻²¹ | High-energy collisions |
atto | a | 0.000000000000000001 | 10⁻¹⁸ | Attosecond lasers |
femto | f | 0.000000000000001 | 10⁻¹⁵ | Nuclear radius (1 fm) |
pico | p | 0.000000000001 | 10⁻¹² | Charge (pC), atomic spacings |
nano | n | 0.000000001 | 10⁻⁹ | Wavelength (nm) |
micro | μ | 0.000001 | 10⁻⁶ | Cell size (μm) |
milli | m | 0.001 | 10⁻³ | Length (mm), current (mA) |
centi | c | 0.01 | 10⁻² | Everyday length (cm) |
deci | d | 0.1 | 10⁻¹ | Rarely used |
Positive Powers (Multiples) | ||||
---|---|---|---|---|
Prefix | Symbol | Multiplier | Power | Typical Example |
deca | da | 10 | 10¹ | Very rare |
hecto | h | 100 | 10² | Hectare (area) |
kilo | k | 1,000 | 10³ | Mass (kg), distance (km) |
mega | M | 1,000,000 | 10⁶ | Frequency (MHz) |
giga | G | 1,000,000,000 | 10⁹ | Data (GB), energy |
tera | T | 1,000,000,000,000 | 10¹² | Power (TW) |
peta | P | 1,000,000,000,000,000 | 10¹⁵ | Astro data |
exa | E | 10¹⁸ | 10¹⁸ | Big data scale |
zetta | Z | 10²¹ | 10²¹ | Cosmic energy |
yotta | Y | 10²⁴ | 10²⁴ | Stellar mass est. |
Memory Aids
Small (10⁻²⁴ → 10⁻¹): Young Zebras Are Fearfully Pale, Notably Miniature Creatures Drink
Large (10¹ → 10²⁴): Do Hungry Kids Meticulously Gobble Tremendous Portions Every Zestful Year
Usage emphasis: nano (light, semiconductor physics), micro (microscopy), milli (laboratory scales), kilo (macroscopic distances), mega/giga (frequency, large data throughput).
Order of Magnitude
Definition: The order of magnitude of a number N is the power of 10, say x, such that 0.5 ≤ N/10ˣ < 5. This gives a fast approximate scale of size.
Examples
- 0.6 = 0.6 × 10⁰ → Order 0
- 49 = 4.9 × 10¹ → Order 1
- 51 = 0.51 × 10² → Order 2
- 2040 = 2.04 × 10³ → Order 3
- 9163 = 0.9163 × 10⁴ → Order 4
Frequently Used Non-SI Units
🌌 Astronomical Distances
- Light year (ly): 9.46 × 10¹⁵ m (distance light travels in 1 year)
- Astronomical Unit (AU): 1.496 × 10¹¹ m ≈ 1.5 × 10¹¹ m (mean Earth–Sun distance)
- Parsec (pc): 3.08 × 10¹⁶ m = 3.26 ly (parallax of 1 arc‑second)
- Hierarchy: 1 pc > 1 ly > 1 AU
🧪 Small Length Scales
- Micron / micrometre (μm): 10⁻⁶ m
- Nanometre (nm): 10⁻⁹ m
- Angstrom (Å): 10⁻¹⁰ m (atomic spacing)
- X‑ray unit (XU): 10⁻¹³ m (X‑ray wavelength scale)
- Fermi (fm): 10⁻¹⁵ m (nuclear radius)
⚖️ Mass Units
- Atomic mass unit (u): 1.67 × 10⁻²⁷ kg
- Slug: 14.57 kg (imperial dynamics)
- Quintal: 100 kg
- Metric ton: 10³ kg
- Solar mass (M☉): 2.0 × 10³⁰ kg
⏱️ Time Units
- Mean solar day: 24 h
- Sidereal month: 27.3 days
- Lunar month: ≈ 29.5 days (phase cycle)
- Mean solar year: 365.25 days
- Shake: 10⁻⁸ s (nuclear physics)
Exercises
Solution:
0.000035 m = 3.5 × 10⁻⁵ m
Since 10⁻⁵ = 10⁻⁶ × 10¹ = μ × 10, we can write:
3.5 × 10⁻⁵ m = 35 × 10⁻⁶ m = 35 μm
Alternatively: 3.5 × 10⁻⁵ m = 0.035 × 10⁻³ m = 0.035 mm
1.3 Dimensional Analysis
Dimensional analysis is a powerful tool for checking equations, converting units, and solving physics problems. It uses the principle that physical equations must be dimensionally consistent - both sides must have the same dimensions.
Definition of Dimensions
Definition: The dimension of any physical quantity is defined as the powers of the fundamental quantities in the product form.
Where x, y, z are called the dimensions (powers) of that quantity.
Example: Force
Force = mass × acceleration = (mass) × (length)/(time)²
This is called the dimensional equation of force.
[MLT⁻²] is called the dimensional formula of force.
Fundamental Dimensions
All physical quantities can be expressed in terms of fundamental dimensions:
Physical Quantity | Dimension Symbol | SI Base Unit |
---|---|---|
Length | [L] | meter (m) |
Mass | [M] | kilogram (kg) |
Time | [T] | second (s) |
Electric Current | [I] | ampere (A) |
Temperature | [Θ] | kelvin (K) |
Amount of Substance | [N] | mole (mol) |
Luminous Intensity | [J] | candela (cd) |
Derived Dimensions
Common derived quantities and their dimensional expressions:
Physical Quantity | Dimensional Formula | SI Unit |
---|---|---|
Area | [L²] | m² |
Volume | [L³] | m³ |
Velocity | [LT⁻¹] | m/s |
Acceleration | [LT⁻²] | m/s² |
Force | [MLT⁻²] | N (kg⋅m/s²) |
Energy | [ML²T⁻²] | J (kg⋅m²/s²) |
Power | [ML²T⁻³] | W (kg⋅m²/s³) |
Pressure | [ML⁻¹T⁻²] | Pa (kg/(m⋅s²)) |
Selected Additional Dimensional Forms
[v] = [L]/[T] = [LT⁻¹] = [M⁰LT⁻¹]
[a] = [v]/[T] = [LT⁻²] = [M⁰LT⁻²]
[W] = [F][s] = [MLT⁻²][L] = [ML²T⁻²]
[P] = [W]/[T] = [ML²T⁻²]/[T] = [ML²T⁻³]
[P] = [F]/[A] = [MLT⁻²]/[L²] = [ML⁻¹T⁻²]
[V] = [W]/[Q] = [ML²T⁻²]/[AT] = [ML²T⁻³A⁻¹]
[R] = [V]/[I] = [ML²T⁻³A⁻¹]/[A] = [ML²T⁻³A⁻²]
From F = Gm₁m₂/r²
[G] = [M⁻¹L³T⁻²]
Comprehensive Dimensional Reference
The following consolidated tables summarise high‑frequency physical quantities. Users should prioritise foundational mechanical quantities (force, energy, power, pressure) before extending to electromagnetic and thermal constants.
Mechanics Core Quantities
Quantity | Symbol | Relation | Dimensions | Unit |
---|---|---|---|---|
Displacement / Length | x, l | — | [L] | m |
Area | A | l·b | [L²] | m² |
Volume | V | l·b·h | [L³] | m³ |
Density | ρ | m/V | [ML⁻³] | kg·m⁻³ |
Velocity / Speed | v | dx/dt | [LT⁻¹] | m·s⁻¹ |
Acceleration | a | dv/dt | [LT⁻²] | m·s⁻² |
Momentum | p | mv | [MLT⁻¹] | kg·m·s⁻¹ |
Force / Weight | F, W | ma | [MLT⁻²] | N |
Work / Energy | W, E | F·s | [ML²T⁻²] | J |
Power | P | W/t | [ML²T⁻³] | W |
Pressure / Stress | p, σ | F/A | [ML⁻¹T⁻²] | Pa |
Surface tension | γ | F/l | [MT⁻²] | N·m⁻¹ |
Gravitational constant | G | Fr²/m² | [M⁻¹L³T⁻²] | N·m²·kg⁻² |
Coefficient of friction | μ | F_f/N | [1] | — |
Spring constant | k | F/x | [MT⁻²] | N·m⁻¹ |
Angular velocity | ω | dθ/dt | [T⁻¹] | rad·s⁻¹ |
Moment of inertia | I | Σmr² | [ML²] | kg·m² |
Planck's constant | h | E/ν | [ML²T⁻¹] | J·s |
Heat / Thermal
Quantity | Symbol | Relation | Dimensions | Unit |
---|---|---|---|---|
Temperature | T | — | [Θ] | K |
Specific heat | c | Q=m c ΔT | [L²T⁻²Θ⁻¹] | J·kg⁻¹·K⁻¹ |
Latent heat | L | Q=mL | [L²T⁻²] | J·kg⁻¹ |
Entropy | S | Q/T | [ML²T⁻²Θ⁻¹] | J·K⁻¹ |
Thermal conductivity | k | Q= k A ΔT t / d | [MLT⁻³Θ⁻¹] | W·m⁻¹·K⁻¹ |
Stefan constant | σ | E=σT⁴ | [MT⁻³Θ⁻⁴] | W·m⁻²·K⁻⁴ |
Light / Waves
Quantity | Symbol | Relation | Dimensions | Unit |
---|---|---|---|---|
Frequency | ν | 1/T | [T⁻¹] | Hz |
Wavelength | λ | v/ν | [L] | m |
Wave speed | v | λν | [LT⁻¹] | m·s⁻¹ |
Intensity (radiative) | I | Power/Area | [MT⁻³] | W·m⁻² |
Planck's constant | h | E=hν | [ML²T⁻¹] | J·s |
Electricity & Magnetism
Quantity | Symbol | Relation | Dimensions | Unit |
---|---|---|---|---|
Charge | q | I t | [IT] | C |
Potential (Voltage) | V | W/q | [ML²T⁻³I⁻¹] | V |
Capacitance | C | q/V | [M⁻¹L⁻²T⁴I²] | F |
Resistance | R | V/I | [ML²T⁻³I⁻²] | Ω |
Resistivity | ρ | RA/l | [ML³T⁻³I⁻²] | Ω·m |
Conductivity | σ | 1/ρ | [M⁻¹L⁻³T³I²] | S·m⁻¹ |
Permittivity | ε₀ | q²/ (F r²) | [M⁻¹L⁻³T⁴I²] | F·m⁻¹ |
Permeability | μ₀ | F r /(I² l) | [MLT⁻²I⁻²] | H·m⁻¹ |
Magnetic flux | Φ | B A | [ML²T⁻²I⁻¹] | Wb |
Inductance | L | Φ/I | [ML²T⁻²I⁻²] | H |
Dimensionless Quantities
Some quantities have no dimensions:
- Angle: [θ] = [arc length]/[radius] = [L]/[L] = [M⁰L⁰T⁰]
- Trigonometric functions: [sin θ] = [cos θ] = [tan θ] = [M⁰L⁰T⁰]
- Relative density: [density of substance]/[density of water] = 1
- Strain: [ΔL/L] = [ΔA/A] = [ΔV/V] = [M⁰L⁰T⁰]
📌 Dimensional Clarifications Addendum
- Density: ρ = m/V → [ρ] = [ML⁻³]
- Gravitational Constant: From F = G m₁ m₂ / r² → [G] = [M⁻¹L³T⁻²]
- General Unit Conversion: For quantity with dimensions M^αL^βT^γ: n₂ = n₁ (M₁/M₂)^α (L₁/L₂)^β (T₁/T₂)^γ
- All Strain Types: Linear, area, and volume strain are ratios → dimensionless (unit 1)
- Use Scientific Notation to make the intended significant figures explicit (e.g., 3.400 × 10³ vs 3400)
Unit Conversion Using Dimensional Analysis
The conversion factor method uses the principle that multiplying by a ratio equal to 1 doesn't change the value:
Example: Converting 1 Newton to Dyne
Force has dimensions [MLT⁻²], so x=1, y=1, z=-2
SI system: n₁ = 1, M₁ = 1 kg, L₁ = 1 m, T₁ = 1 s
CGS system: n₂ = ?, M₂ = 1 g, L₂ = 1 cm, T₂ = 1 s
n₂ = 1 × [1 kg/1 g]¹ × [1 m/1 cm]¹ × [1 s/1 s]⁻²
n₂ = 1 × 10³ × 10² × 1 = 10⁵
Answer: 1 N = 10⁵ dyne
Example: Convert 75 mph to m/s
75 mph × (1609 m/1 mile) × (1 hr/3600 s) = 33.5 m/s
Checking Equation Validity - Homogeneity Principle
🎯 Homogeneity Principle
Definition: Two or more physical quantities can be added or subtracted only if they have the same dimensions.
This principle is used to check if physical equations are dimensionally correct.
Example: Verification of s = ut + ½at²
1st term: [s] = [L]
2nd term: [ut] = [LT⁻¹][T] = [L]
3rd term: [½at²] = [LT⁻²][T²] = [L]
Conclusion: All terms have dimension [L], so the equation is ✓ dimensionally correct
Counter-example: Invalid Relation s = ut + at³
1st term: [s] = [L]
2nd term: [ut] = [LT⁻¹][T] = [L]
3rd term: [at³] = [LT⁻²][T³] = [LT]
Conclusion: The third term has dimension [LT], not [L], so this equation is ✗ dimensionally incorrect
Important Limitation
Dimensionally correct equations need not be physically correct, but dimensionally incorrect equations are never physically correct.
Checking Equation Validity
Dimensional analysis can verify if an equation is physically meaningful by ensuring both sides have identical dimensions.
Representative Applications of Dimensional Analysis
Verify thrust equations before multi-million dollar launches
Ensure proper concentration units to prevent medical errors
Check structural calculations before construction
Validate complex atmospheric equations
Guidelines for Effective Dimensional Analysis
- Always check your work: If dimensions don't match, there's an error!
- Use it for estimation: Get order-of-magnitude answers quickly
- Derive new relationships: Combine quantities to find unknown formulas
- Convert between systems: Imperial to metric, CGS to SI, etc.
Exercises
Solution:
KE = ½mv²
Dimensions of mass: [M]
Dimensions of velocity: [LT⁻¹]
Dimensions of v²: [LT⁻¹]² = [L²T⁻²]
Therefore: [KE] = [M][L²T⁻²] = [ML²T⁻²]
This matches the dimensional formula for energy.
⚠️ Limitations of Dimensional Analysis
- Dimensionally correct equations need not be physically correct, but dimensionally incorrect equations are never physically correct.
- Pure numbers or numerical constants in physical equations cannot be determined by dimensional analysis (like π, ½, 2, etc.).
- Only equations in product form can be derived by dimensional analysis.
- Equations containing trigonometric, logarithmic, or exponential functions cannot be derived by dimensional analysis.
- Dimensional analysis doesn't indicate whether a quantity is vector or scalar.
Important Points to Remember (Quick Scan)
- Frequency, angular frequency, angular velocity, velocity gradient → all [T⁻¹].
- Dimensionless: angle, solid angle, trigonometric ratios, strain (all), Poisson ratio, relative density, relative permittivity, refractive index, relative permeability, coefficient of friction.
- [L²T⁻²] group: (speed)², gravitational potential, latent heat.
- [ML²T⁻²] group: work, energy, torque, heat.
- [MLT⁻¹] group: momentum, impulse.
- Acceleration and gravitational field intensity share [LT⁻²].
- Force, weight, thrust → [MLT⁻²].
- Entropy, gas constant R, Boltzmann constant k, heat capacity share same M,L,T dimensions (differ by Θ power).
- Light year, radius of gyration, wavelength all [L].
- Surface tension and spring constant share [MT⁻²].
- Planck's constant and angular momentum share [ML²T⁻¹].
- Rydberg constant & propagation constant: [L⁻¹].
- Pressure, stress, elastic moduli, energy density → [ML⁻¹T⁻²].
1.4 Precision, Accuracy, and Error Analysis
Understanding measurement uncertainty is crucial in physics. We distinguish between precision (repeatability) and accuracy (closeness to truth), identify sources of error, and apply rules for combining uncertainties.
Instrument Precision Limits
The precision (least count) of a measuring instrument determines the smallest change it can reliably detect.
Instrument | Least Count |
---|---|
Linear Scale (ruler) | 1 mm = 0.1 cm = 0.001 m |
Vernier Caliper | 0.1 mm = 0.01 cm = 0.0001 m |
Micrometer Screw Gauge | 0.01 mm = 0.001 cm = 0.00001 m |
Interpretation: The micrometer provides the most precise measurement; the ruler the least. A smaller least count means finer resolution.
Precision vs. Accuracy
Precision
How closely repeated measurements agree with each other.
Example: Readings: 5.21, 5.22, 5.21, 5.22 cm → High precision.
Accuracy
How close a measurement is to the true value.
Example: True length = 5.80 cm but repeated readings cluster near 5.22 cm → Precise but inaccurate (systematic error).
Key Point: Precision (repeatability) and accuracy (closeness to true value) are distinct; systematic errors impair accuracy while random fluctuations limit precision.
Precision vs. Accuracy
Concept | Definition | Analogy |
---|---|---|
Precision | How close repeated measurements are to each other | Tight grouping of arrows on target |
Accuracy | How close a measurement is to the true value | Arrows hitting the bullseye |
Types of Errors
1. Systematic Errors
- Definition: Consistent, repeatable errors that shift all measurements in the same direction
- Causes: Faulty instruments, environmental factors, procedural mistakes
- Effect: Reduces accuracy but not precision
- Examples: Uncalibrated scale, parallax error, thermal expansion
2. Random Errors
- Definition: Unpredictable variations that fluctuate randomly around the true value
- Causes: Human limitations, electrical noise, environmental fluctuations
- Effect: Reduces precision
- Examples: Reading variations, timing uncertainties, atmospheric turbulence
Significant Figures
Significant figures (sig figs) are the reliably known digits in a measured quantity, plus the first uncertain (estimated) digit.
Rules & Examples
- All non-zero digits are significant.
Example: 2345 → 4 sig figs - Leading zeros are never significant.
Example: 0.0234 → 3 sig figs - Zeros between non-zero digits are significant.
Example: 2003 → 4 sig figs - In numbers < 1, zeros after decimal but before first non-zero are not significant.
Example: 0.00250 → 3 sig figs - Any zero between non-zero digits (even after decimal) is significant.
Example: 0.2035 → 4 sig figs - In numbers ≥ 1 with a decimal, trailing zeros are significant.
Example: 1.200 → 4 sig figs - Trailing zeros in whole numbers without a decimal may be ambiguous.
Example: 4500 → 2–4 sig figs (write 4.500×10³ to show 4) - Digits in the power of 10 (scientific notation) are not counted.
Examples: 3 × 10⁸ → 1 sig fig; 6.67 × 10⁻¹¹ → 3 sig figs
Best Practice: Use scientific notation to make significant figures explicit; e.g., 2.300 × 10⁴ conveys four significant figures whereas 23000 is ambiguous.
Operations with Significant Figures:
- Addition/Subtraction: Round to the least precise decimal place
- Multiplication/Division: Round to the fewest significant figures
Fundamental Error (Uncertainty) Definitions
Error (or uncertainty) is the difference between the measured value and the accepted (true) value. We characterize how errors combine using absolute, relative (fractional), and percentage forms.
Notation: A measurement written as (7.52 ± 0.03) cm means 7.52 cm is the best estimate and 0.03 cm is the absolute uncertainty.
Absolute Error (Δy)
- Represents the uncertainty in the same units as the quantity.
- For sums/differences: Δy = Δa + Δb (worst-case combination).
- For a power: y = aⁿ → Δy = n aⁿ⁻¹ Δa (approx) or fractional form below.
Relative (Fractional) Error
Fractional uncertainty: Δy / y
- For products/quotients: Δy / y = (Δa / a) + (Δb / b) (worst-case)
- For powers: y = aⁿ → Δy / y = n (Δa / a)
- General: y = aᵐ bⁿ → Δy / y = m (Δa / a) + n (Δb / b)
Percentage Error
(Δy / y) × 100%
Example: If radius r has 0.3% error, area A = 4πr² has 2 × 0.3% = 0.6% error.
Error Propagation (Summary Table)
When combining measurements, uncertainties propagate according to these common patterns:
Operation | Formula | Error Propagation |
---|---|---|
Addition | z = x + y | δz = √(δx² + δy²) |
Subtraction | z = x - y | δz = √(δx² + δy²) |
Multiplication | z = xy | δz/z = √((δx/x)² + (δy/y)²) |
Division | z = x/y | δz/z = √((δx/x)² + (δy/y)²) |
Exercises
Solution:
12.34 (2 decimal places)
+ 5.6 (1 decimal place) ← least precise
+ 0.789 (3 decimal places)
= 18.729
Round to 1 decimal place: 18.7
Solution:
2.5 has 2 significant figures ← fewest
3.14159 has 6 significant figures
2.5 × 3.14159 = 7.853975
Round to 2 significant figures: 7.9
Solution:
z = x + y = 15.2 + 8.7 = 23.9 cm
For addition: δz = √(δx² + δy²)
δz = √(0.3² + 0.2²) = √(0.09 + 0.04) = √0.13 = 0.36 cm
Therefore: z = 23.9 ± 0.4 cm
Solutions:
(a) 0.00234: Leading zeros don't count → 3 significant figures
(b) 1.200: Trailing zeros after decimal count → 4 significant figures
(c) 3400: Ambiguous without decimal point → 2-4 significant figures
To clarify (c), write as 3.4 × 10³ (2 sig figs) or 3.400 × 10³ (4 sig figs)
Solution:
Surface area: A = 4πr²
Percentage error propagates with powers: ΔA/A × 100% = 2 (Δr/r × 100%)
= 2 × 0.3% = 0.6%
Solution:
A = l × b = 8 × 6 = 48 cm²
Fractional uncertainty (worst-case): ΔA/A = Δl/l + Δb/b = 0.4/8 + 0.2/6
= 0.05 + 0.0333 = 0.0833
ΔA = 0.0833 × 48 ≈ 4 cm²
A = (48 ± 4) cm² (Range: 44 cm² to 52 cm²)
Solution:
K.E. = ½ m v²
Δ(K.E.)/K.E. × 100% = (Δm/m × 100%) + 2(Δv/v × 100%)
= 3% + 2 × 2% = 7%
Percentage error in kinetic energy = 7%
⚡ Tricks & Exam Strategies (Consolidated)
This section gathers only time-saving techniques, pattern recognition, and exam‑oriented heuristics. All conceptual theory has already been integrated into the core sections above to avoid duplication.
🚀 Lightning-Fast Dimensional Shortcuts
Energy Relationships (Direct Forms)
- Kinetic: E = p²/(2m) → p²/m has energy dimensions.
- Inductance: E = ½ L I² → [L] = [ML²T⁻²A⁻²].
- Capacitance: E = ½ C V² → [C] = [Q²/E] = [M⁻¹L⁻²T⁴A²].
Force-Derived Quantity Patterns
Pressure (or Energy Density) = F/Area → [ML⁻¹T⁻²]
Spring Constant = F/Length → [MT⁻²]
If two unfamiliar options share the same base form F divided by some geometry, reduce power of L quickly to decide.
🏃 Rapid Speed Recognition
- √(Pressure / Density) → Acoustic speed
- √(Tension / Linear density) → Wave on string
- √(GM / r) → Orbital / circular speed
- 1 / √(μ₀ ε₀) → Speed of light
🎯 Unit Conversion Efficiency
Method 1: Power Counting Template
n₂ = n₁ (M₁/M₂)^a (L₁/L₂)^b (T₁/T₂)^c
for dimensions MᵃLᵇTᶜ (extend with I, Θ if present).
Method 2: High-Value Memorised Conversions
1 J = 10⁷ erg
1 eV = 1.6×10⁻¹⁹ J
1 cal = 4.18 J
1 N = 10⁵ dyne
1 kgf ≈ 9.8 N
1 atm ≈ 10⁵ Pa
1 bar = 10⁵ Pa
1 Pa = 10 dyne/cm²
🧠 Dimension Families (Pattern Recognition)
[MT⁻²]
- Surface tension
- Spring constant
- Force/length forms
[ML²T⁻²]
- Energy / Work
- Torque
- Angular momentum ÷ time
[T⁻¹]
- Frequency
- Angular frequency
- Velocity gradient
⚠️ Classic Traps
Prefix Case Sensitivity
M (mega, 10⁶) vs m (milli, 10⁻³). One capital letter changes factor by 10⁹!
Dimension ≠ Unit
Always separate: Energy has dimension [ML²T⁻²], unit Joule.
Angles Are Dimensionless
θ, sinθ, tanθ, solid angle Ω → all [1]. Never introduce L.
🏆 Pro Techniques
1. Eliminate by Dimensions First
Check each option’s M-L-T powers before algebra. Often leaves 1–2 survivors fast.
2. Limiting Cases
If l → 0 in pendulum, T must → 0 (√(l/g)). Reject forms that diverge incorrectly.
3. Symmetry & Independence
Pendulum period independent of mass ⇒ discard any option containing m.
📝 Rapid Revision Checklist
- [Force] [MLT⁻²], [Energy] [ML²T⁻²], [Power] [ML²T⁻³]
- [Pressure] & Energy density both [ML⁻¹T⁻²]
- All strains & angles dimensionless
- n₁u₁ = n₂u₂ for conversions
- 1 N = 10⁵ dyne, 1 J = 10⁷ erg
⚡ Speed Checks Framework
- Dimensions consistent?
- Units plausible?
- Limits sensible?
- Order of magnitude OK?
🏅 3-2-1 Rule
3 seconds: identify target quantity; 2 methods: have a backup; 1 final physical sense check.
Chapter 1 Assessment
Test your understanding of measurement principles with this comprehensive assessment. These problems integrate concepts from all sections of this chapter.
🎯 Competitive Exam Style Questions
Quick Solution:
Surface tension = Force/Length
[Surface tension] = [MLT⁻²]/[L] = [MT⁻²]
SI unit = N/m = N·m⁻¹
Answer: (d) N·m⁻¹
Trick: Remember the formula immediately - don't derive from stress!
Solution:
[LT⁻¹]ⁿ = ([ML⁻¹T⁻²]/[ML⁻³])^(1/2)
[LT⁻¹]ⁿ = ([L²T⁻²])^(1/2) = [LT⁻¹]
Comparing: n = 1
Physics insight: This is the formula for sound speed in a fluid!
Time-saving method:
Energy = ½LI²
[L] = [Energy]/[I²] = [ML²T⁻²]/[A²] = [ML²T⁻²A⁻²]
Answer: (d)
Pro tip: Use energy formulas for quick dimensional analysis!
Solution:
Power: [ML²T⁻³], so a=1, b=2, c=-3
60 J/min = 1 J/s = 1 W
n₂ = 1 × (1kg/100g)¹ × (1m/100cm)² × (1s/1min)⁻³
= 10 × 1 × (60)³ = 2.16 × 10⁶ new units
Answer: 2.16 × 10⁶
Super quick method:
Remember: E = p²/(2m) (kinetic energy formula)
So p²/m has dimensions of energy
Answer: (e) energy
Time saved: 2 seconds vs 30 seconds of calculation!
Comprehensive Problems
Solution:
Analysis of Precision:
Range = 1.53 - 1.49 = 0.04 m
The measurements are clustered closely together (small range), indicating high precision.
Analysis of Accuracy:
Average = (1.52 + 1.49 + 1.53 + 1.51 + 1.50)/5 = 1.51 m
Error = |1.51 - 1.65| = 0.14 m = 14 cm
This is a significant deviation from the true value, indicating low accuracy.
Conclusion: The measurements show high precision but low accuracy, suggesting a systematic error.
Solution:
299,800,000 m/s = 2.998 × 10⁸ m/s
Since we're given "approximately" and the number ends in zeros, we should consider how many figures are truly known.
The most precise commonly used value is: 2.998 × 10⁸ m/s (4 significant figures)
For many calculations, 3.00 × 10⁸ m/s (3 significant figures) is sufficient.
Solution:
Area = length × width = 127.3 × 89.6 = 11,406.08 m²
Uncertainty calculation for multiplication:
Relative uncertainty in length: δl/l = 0.5/127.3 = 0.00393
Relative uncertainty in width: δw/w = 0.3/89.6 = 0.00335
Combined relative uncertainty: √(0.00393² + 0.00335²) = 0.00517
Absolute uncertainty: δA = A × 0.00517 = 11,406 × 0.00517 = 59 m²
Final answer: A = 11,400 ± 60 m²
Solution:
55 mph × (1.609 km/1 mile) = 55 × 1.609 km/h = 88.495 km/h
Significant figures analysis:
• 55 mph has 2 significant figures
• 1.609 km/mile is a conversion factor with 4 significant figures
Result should have 2 significant figures: 88 km/h
Note: For exact conversion factors (like 12 inches = 1 foot), the number of significant figures is unlimited.
Solution:
Left side dimensions:
[P] = [ML²T⁻³] (power)
Right side dimensions:
[ρ] = [ML⁻³] (density)
[v²] = [L²T⁻²] (velocity squared)
[A] = [L²] (area)
[½ρv²A] = [ML⁻³][L²T⁻²][L²] = [ML⁻³⁺²⁺²T⁻²] = [MLT⁻²]
Comparison:
Left: [ML²T⁻³], Right: [MLT⁻²]
No, the equation is dimensionally inconsistent.
The equation might be for force (F = ½ρv²A) rather than power.