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Quantities and Units

Quantities and Units

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Board Coverage AQA Paper 1 & 3 | Edexcel CP1 | OCR (A) Paper 1 | CIE P1

1. Physical Quantities and the SI System

We begin with the most fundamental question in physics: how do we measure things?

A physical quantity is a property of a phenomenon that can be quantified — assigned a numerical value and compared with other instances of the same quantity. Physical quantities come in two varieties:

  • Base quantities are irreducible; they cannot be expressed in terms of other quantities. The SI system defines seven base quantities.
  • Derived quantities are expressed as products and quotients of base quantities.

The Seven SI Base Units

Base QuantitySymbolSI UnitUnit Symbol
Lengthllmetrem
Massmmkilogramkg
Timettseconds
Electric currentIIampereA
TemperatureTTkelvinK
Amount of substancennmolemol
Luminous intensityIvI_vcandelacd
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Note The candela is rarely encountered in A Level Physics. Focus on the first six.

Derived Units

A derived unit is obtained by combining base units according to the physical relationship. We denote the dimensions of a quantity using square brackets.

Definition. The dimension of a physical quantity QQ, written [Q][Q], is its expression in terms of the base dimensions M\mathsf{M} (mass), L\mathsf{L} (length), T\mathsf{T} (time), I\mathsf{I} (current), Θ\mathsf{\Theta} (temperature), N\mathsf{N} (amount of substance), J\mathsf{J} (luminous intensity).

Examples.

  • Velocity: [v]=[s][t]=LT1[v] = \frac{[s]}{[t]} = \mathsf{L}\mathsf{T}^{-1}
  • Acceleration: [a]=[v][t]=LT2[a] = \frac{[v]}{[t]} = \mathsf{L}\mathsf{T}^{-2}
  • Force (from F=maF = ma): [F]=MLT2[F] = \mathsf{M}\mathsf{L}\mathsf{T}^{-2}
  • Pressure (from P=F/AP = F/A): [P]=ML1T2[P] = \mathsf{M}\mathsf{L}^{-1}\mathsf{T}^{-2}
  • Energy (from W=FdW = Fd): [E]=ML2T2[E] = \mathsf{M}\mathsf{L}^{2}\mathsf{T}^{-2}

Some derived units have special names:

Derived QuantityNameSymbolIn Base Units
ForcenewtonNkgms2\mathrm{kg m s}^{-2}
EnergyjouleJkgm2s2\mathrm{kg m}^2\mathrm{s}^{-2}
PowerwattWkgm2s3\mathrm{kg m}^2\mathrm{s}^{-3}
PressurepascalPakgm1s2\mathrm{kg m}^{-1}\mathrm{s}^{-2}
ChargecoulombCAs\mathrm{A s}
VoltagevoltVkgm2s3A1\mathrm{kg m}^2\mathrm{s}^{-3}\mathrm{A}^{-1}
ResistanceohmΩ\Omegakgm2s3A2\mathrm{kg m}^2\mathrm{s}^{-3}\mathrm{A}^{-2}

2. Dimensional Analysis

Definition. An equation is dimensionally homogeneous (or dimensionally consistent) if every term on each side has the same dimensions.

This is a necessary condition for any physically meaningful equation. If the dimensions do not balance, the equation is certainly wrong. If they do balance, the equation may still be wrong (dimensional analysis cannot reveal dimensionless constants), but it is at least plausible.

Checking the SUVAT Equation

We prove that v2=u2+2asv^2 = u^2 + 2as is dimensionally valid.

  • [v2]=(LT1)2=L2T2[v^2] = (\mathsf{L}\mathsf{T}^{-1})^2 = \mathsf{L}^2\mathsf{T}^{-2}
  • [u2]=(LT1)2=L2T2[u^2] = (\mathsf{L}\mathsf{T}^{-1})^2 = \mathsf{L}^2\mathsf{T}^{-2}
  • [2as]=[LT2][L]=L2T2[2as] = [\mathsf{L}\mathsf{T}^{-2}][\mathsf{L}] = \mathsf{L}^2\mathsf{T}^{-2}

Since [v2]=[u2]=[2as]=L2T2[v^2] = [u^2] = [2as] = \mathsf{L}^2\mathsf{T}^{-2}, the equation is dimensionally homogeneous. \square

Determining the Form of an Equation

Suppose we wish to find how the period TT of a simple pendulum depends on its length ll and the gravitational field strength gg. We assume:

T=klagbT = k \cdot l^a \cdot g^b

where kk is a dimensionless constant. By dimensional homogeneity:

T=La(LT2)b=La+bT2b\mathsf{T} = \mathsf{L}^a \cdot (\mathsf{L}\mathsf{T}^{-2})^b = \mathsf{L}^{a+b} \cdot \mathsf{T}^{-2b}

Equating powers:

T:1=2b    b=12L:0=a+b    a=12\begin{aligned} \mathsf{T}:&\quad 1 = -2b \implies b = -\frac{1}{2} \\[4pt] \mathsf{L}:&\quad 0 = a + b \implies a = \frac{1}{2} \end{aligned}

Therefore T=kl/gT = k\sqrt{l/g}. Full analysis reveals k=2πk = 2\pi.

tip

Exam Technique Dimensional analysis is invaluable for checking your working. Get into the habit of verifying dimensions for every formula you derive in an exam.

3. SI Prefixes

PrefixSymbolFactor
teraT101210^{12}
gigaG10910^9
megaM10610^6
kilok10310^3
centic10210^{-2}
millim10310^{-3}
microμ\mu10610^{-6}
nanon10910^{-9}
picop101210^{-12}
femtof101510^{-15}

4. Scalars and Vectors

Definition. A scalar is a physical quantity that has magnitude only. A vector is a physical quantity that has both magnitude and direction.

Scalar ExamplesVector Examples
Mass, temperature, speed, energy, time, distanceDisplacement, velocity, acceleration, force, weight, momentum

Vector Operations

Addition. Vectors are added using the triangle rule or the parallelogram rule. Given vectors a\mathbf{a} and b\mathbf{b}, the resultant R=a+b\mathbf{R} = \mathbf{a} + \mathbf{b} is found by placing the tail of b\mathbf{b} at the head of a\mathbf{a}.

Resolving. Any vector F\mathbf{F} can be resolved into perpendicular components. If F\mathbf{F} makes an angle θ\theta with the horizontal:

Fx=Fcosθ,Fy=FsinθF_x = F\cos\theta, \qquad F_y = F\sin\theta

Magnitude. Given components FxF_x and FyF_y:

F=Fx2+Fy2|\mathbf{F}| = \sqrt{F_x^2 + F_y^2}

Direction. The angle with the horizontal is θ=arctan(FyFx)\theta = \arctan\left(\frac{F_y}{F_x}\right).

5. Uncertainty and Error Analysis

Types of Error

  • Systematic error: A consistent deviation from the true value, caused by a flaw in the apparatus or method. It affects accuracy (closeness to true value) but not precision (repeatability). Example: a zero error on a micrometer.
  • Random error: Unpredictable fluctuations in measured values, caused by limitations in resolution or environmental factors. It affects precision but not accuracy. Random errors are reduced by taking repeated measurements.
warning

Common Pitfall Do not confuse precision with accuracy. A precise measurement is repeatable; an accurate measurement is close to the true value. You can have one without the other.

Absolute, Fractional, and Percentage Uncertainty

Definition. If a quantity is measured as x±Δxx \pm \Delta x, then:

  • Absolute uncertainty: Δx\Delta x
  • Fractional uncertainty: LBΔxRB◆◆LBxRB\frac◆LB◆\Delta x◆RB◆◆LB◆x◆RB◆
  • Percentage uncertainty: LBΔxRB◆◆LBxRB×100%\frac◆LB◆\Delta x◆RB◆◆LB◆x◆RB◆ \times 100\%

Combining Uncertainties

We now derive the rules for propagating uncertainty through calculations. Consider a quantity z=f(x,y)z = f(x, y) where xx and yy have uncertainties Δx\Delta x and Δy\Delta y.

Rule 1: Addition and Subtraction

If z=x+yz = x + y or z=xyz = x - y, then:

Δz=Δx+Δy\Delta z = \Delta x + \Delta y

Derivation. The worst-case scenario for z=x+yz = x + y is that both errors push zz in the same direction. The maximum possible value is zmax=(x+Δx)+(y+Δy)z_{\max} = (x + \Delta x) + (y + \Delta y), and the minimum is zmin=(xΔx)+(yΔy)z_{\min} = (x - \Delta x) + (y - \Delta y). Hence:

Δz=LBzmaxzminRB◆◆LB2RB=Δx+Δy\Delta z = \frac◆LB◆z_{\max} - z_{\min}◆RB◆◆LB◆2◆RB◆ = \Delta x + \Delta y

The same argument applies for subtraction. \square

Rule 2: Multiplication and Division

If z=xyz = xy or z=x/yz = x/y, then:

LBΔzRB◆◆LBzRB=LBΔxRB◆◆LBxRB+LBΔyRB◆◆LByRB\frac◆LB◆\Delta z◆RB◆◆LB◆z◆RB◆ = \frac◆LB◆\Delta x◆RB◆◆LB◆x◆RB◆ + \frac◆LB◆\Delta y◆RB◆◆LB◆y◆RB◆

In words: when multiplying or dividing, add the fractional uncertainties.

Derivation for z=xyz = xy. We have:

zmax=(x+Δx)(y+Δy)=xy+xΔy+yΔx+ΔxΔyzmin=(xΔx)(yΔy)=xyxΔyyΔx+ΔxΔy\begin{aligned} z_{\max} &= (x + \Delta x)(y + \Delta y) = xy + x\Delta y + y\Delta x + \Delta x \Delta y \\ z_{\min} &= (x - \Delta x)(y - \Delta y) = xy - x\Delta y - y\Delta x + \Delta x \Delta y \end{aligned}

For small uncertainties, ΔxΔy\Delta x \Delta y is negligible:

Δz=LBzmaxzminRB◆◆LB2RBxΔy+yΔxLBΔzRB◆◆LBzRB=LBxΔy+yΔxRB◆◆LBxyRB=LBΔyRB◆◆LByRB+LBΔxRB◆◆LBxRB\begin{aligned} \Delta z &= \frac◆LB◆z_{\max} - z_{\min}◆RB◆◆LB◆2◆RB◆ \approx x\Delta y + y\Delta x \\[4pt] \frac◆LB◆\Delta z◆RB◆◆LB◆z◆RB◆ &= \frac◆LB◆x\Delta y + y\Delta x◆RB◆◆LB◆xy◆RB◆ = \frac◆LB◆\Delta y◆RB◆◆LB◆y◆RB◆ + \frac◆LB◆\Delta x◆RB◆◆LB◆x◆RB◆ \end{aligned}

\square

Rule 3: Powers

If z=xnz = x^n, then:

LBΔzRB◆◆LBzRB=nLBΔxRB◆◆LBxRB\frac◆LB◆\Delta z◆RB◆◆LB◆z◆RB◆ = |n| \cdot \frac◆LB◆\Delta x◆RB◆◆LB◆x◆RB◆

Derivation. Write z=LBxxxRBntimesz = \underbrace◆LB◆x \cdot x \cdots x◆RB◆_{n \mathrm{ times}}. Applying the multiplication rule repeatedly:

LBΔzRB◆◆LBzRB=LBLBΔxRB◆◆LBxRB+LBΔxRB◆◆LBxRB++LBΔxRB◆◆LBxRB◆◆RBnterms=nLBΔxRB◆◆LBxRB\frac◆LB◆\Delta z◆RB◆◆LB◆z◆RB◆ = \underbrace◆LB◆\frac◆LB◆\Delta x◆RB◆◆LB◆x◆RB◆ + \frac◆LB◆\Delta x◆RB◆◆LB◆x◆RB◆ + \cdots + \frac◆LB◆\Delta x◆RB◆◆LB◆x◆RB◆◆RB◆_{n \mathrm{ terms}} = n \cdot \frac◆LB◆\Delta x◆RB◆◆LB◆x◆RB◆

For negative or fractional powers, the result generalises via logarithmic differentiation (see 01-wave-properties for the general propagation of error formula). \square

The General Propagation of Error Formula

For any function z=f(x1,x2,,xn)z = f(x_1, x_2, \ldots, x_n):

Δz=LBi=1n(LBfRB◆◆LBxiRBΔxi)2RB\Delta z = \sqrt◆LB◆\sum_{i=1}^{n}\left(\frac◆LB◆\partial f◆RB◆◆LB◆\partial x_i◆RB◆ \Delta x_i\right)^2◆RB◆

This is the statistical (root-sum-square) combination, which gives the most probable uncertainty rather than the worst case. For A Level exams, use the simpler worst-case rules above unless instructed otherwise.

Significant Figures and Uncertainty

The number of significant figures in a quoted result should be consistent with the uncertainty.

Rule. A result should be quoted to the same number of significant figures as the uncertainty, and the uncertainty should be quoted to at most 2 significant figures.

Example. If a length is measured as 12.3±0.412.3 \pm 0.4 cm, we quote two significant figures (matching the uncertainty's one significant figure). We do not write 12.30±0.412.30 \pm 0.4 cm — the trailing zero implies precision we do not have.

tip

Exam Technique When you compute g=9.78±0.15ms2g = 9.78 \pm 0.15 \mathrm{ m s}^{-2}, write 9.8±0.29.8 \pm 0.2 m s2^{-2} (round the uncertainty to 1 s.f. and match the result). This is what examiners expect.

6. Determining Uncertainty from Repeated Measurements

When nn repeated measurements x1,x2,,xnx_1, x_2, \ldots, x_n are taken of the same quantity:

xˉ=1ni=1nxi\bar{x} = \frac{1}{n}\sum_{i=1}^{n} x_i

The absolute uncertainty is the half-range:

Δx=LBxmaxxminRB◆◆LB2RB\Delta x = \frac◆LB◆x_{\max} - x_{\min}◆RB◆◆LB◆2◆RB◆

For large datasets, the standard deviation of the mean is more appropriate:

Δx=LBσRB◆◆LBnRB,σ=LB1n1i=1n(xixˉ)2RB\Delta x = \frac◆LB◆\sigma◆RB◆◆LB◆\sqrt{n}◆RB◆, \qquad \sigma = \sqrt◆LB◆\frac{1}{n-1}\sum_{i=1}^{n}(x_i - \bar{x})^2◆RB◆

7. Graphical Analysis of Uncertainties

When determining a physical constant from the gradient of a straight-line graph, we use the line of best fit and the worst acceptable line (the steepest and shallowest lines consistent with the error bars).

The uncertainty in the gradient is:

Δm=LBmbestmworstRB◆◆LB2RB\Delta m = \frac◆LB◆|m_{\mathrm{best}} - m_{\mathrm{worst}}|◆RB◆◆LB◆2◆RB◆

A similar procedure applies to the yy-intercept.

Problem Set

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Problem 1 A student measures the diameter of a sphere five times and obtains: 2.04 cm, 2.06 cm, 2.05 cm, 2.03 cm, 2.07 cm. Calculate the mean diameter and its absolute uncertainty.

Answer. dˉ=2.04+2.06+2.05+2.03+2.075=2.05\bar{d} = \frac{2.04 + 2.06 + 2.05 + 2.03 + 2.07}{5} = 2.05 cm. The range is 2.072.03=0.042.07 - 2.03 = 0.04 cm, so Δd=0.02\Delta d = 0.02 cm. Result: d=2.05±0.02d = 2.05 \pm 0.02 cm.

If you get this wrong, revise: Determining Uncertainty from Repeated Measurements

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Problem 2 The kinetic energy of a particle is given by Ek=12mv2E_k = \frac{1}{2}mv^2. Show that this expression is dimensionally consistent with the definition of work W=FdW = Fd.

Answer. [Ek]=[mass][velocity]2=M(LT1)2=ML2T2[E_k] = [\mathrm{mass}][\mathrm{velocity}]^2 = \mathsf{M}(\mathsf{L}\mathsf{T}^{-1})^2 = \mathsf{M}\mathsf{L}^2\mathsf{T}^{-2}. Meanwhile [W]=[F][d]=(MLT2)(L)=ML2T2[W] = [F][d] = (\mathsf{M}\mathsf{L}\mathsf{T}^{-2})(\mathsf{L}) = \mathsf{M}\mathsf{L}^2\mathsf{T}^{-2}. The dimensions match. \square

If you get this wrong, revise: Derived Units

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Problem 3 A force F=12.0±0.3F = 12.0 \pm 0.3 N acts over a distance d=3.45±0.05d = 3.45 \pm 0.05 m. Calculate the work done and its percentage uncertainty.

Answer. W=Fd=12.0×3.45=41.4W = Fd = 12.0 \times 3.45 = 41.4 J. The fractional uncertainties are 0.312.0=0.025\frac{0.3}{12.0} = 0.025 and 0.053.45=0.0145\frac{0.05}{3.45} = 0.0145. By the multiplication rule: LBΔWRB◆◆LBWRB=0.025+0.0145=0.0395\frac◆LB◆\Delta W◆RB◆◆LB◆W◆RB◆ = 0.025 + 0.0145 = 0.0395, so ΔW=41.4×0.03951.6\Delta W = 41.4 \times 0.0395 \approx 1.6 J. Result: W=41.4±1.6W = 41.4 \pm 1.6 J (3.9% uncertainty).

If you get this wrong, revise: Rule 2: Multiplication and Division

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Problem 4 Use dimensional analysis to show that the expression v=LBLB2ΔERB◆◆LBmRB◆◆RBv = \sqrt◆LB◆\frac◆LB◆2\Delta E◆RB◆◆LB◆m◆RB◆◆RB◆ is dimensionally valid, where ΔE\Delta E is energy and mm is mass.

Answer. [v]=LT1[v] = \mathsf{L}\mathsf{T}^{-1}. [ΔE/m]=LBML2T2RB◆◆LBMRB=L2T2[\Delta E/m] = \frac◆LB◆\mathsf{M}\mathsf{L}^2\mathsf{T}^{-2}◆RB◆◆LB◆\mathsf{M}◆RB◆ = \mathsf{L}^2\mathsf{T}^{-2}. [LB2ΔE/mRB]=(L2T2)1/2=LT1=[v][\sqrt◆LB◆2\Delta E/m◆RB◆] = (\mathsf{L}^2\mathsf{T}^{-2})^{1/2} = \mathsf{L}\mathsf{T}^{-1} = [v]. \square

If you get this wrong, revise: Dimensional Analysis

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Problem 5 The density of a cylinder is ρ=LBmRB◆◆LBπr2hRB\rho = \frac◆LB◆m◆RB◆◆LB◆\pi r^2 h◆RB◆. The mass m=150.0±0.5m = 150.0 \pm 0.5 g, radius r=1.20±0.05r = 1.20 \pm 0.05 cm, and height h=5.00±0.02h = 5.00 \pm 0.02 cm. Calculate ρ\rho and its uncertainty.

Answer. ρ=LB150.0RB◆◆LBπ(1.20)2(5.00)RB=150.022.62=6.63\rho = \frac◆LB◆150.0◆RB◆◆LB◆\pi(1.20)^2(5.00)◆RB◆ = \frac{150.0}{22.62} = 6.63 g cm3^{-3}.

Fractional uncertainties: 0.5150.0=0.0033\frac{0.5}{150.0} = 0.0033, 2(0.05)1.20=0.0833\frac{2(0.05)}{1.20} = 0.0833 (power rule), 0.025.00=0.004\frac{0.02}{5.00} = 0.004.

Total fractional uncertainty: 0.0033+0.0833+0.004=0.09070.0033 + 0.0833 + 0.004 = 0.0907. Δρ=6.63×0.0907=0.60\Delta\rho = 6.63 \times 0.0907 = 0.60 g cm3^{-3}. Result: ρ=6.6±0.6\rho = 6.6 \pm 0.6 g cm3^{-3}.

If you get this wrong, revise: Rule 3: Powers

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Problem 6 Two vectors are given: A=3i+4j\mathbf{A} = 3\mathbf{i} + 4\mathbf{j} N and B=2i+5j\mathbf{B} = -2\mathbf{i} + 5\mathbf{j} N. Find the magnitude and direction of A+B\mathbf{A} + \mathbf{B}.

Answer. A+B=(32)i+(4+5)j=i+9j\mathbf{A} + \mathbf{B} = (3-2)\mathbf{i} + (4+5)\mathbf{j} = \mathbf{i} + 9\mathbf{j}. Magnitude: A+B=12+92=82=9.06|\mathbf{A}+\mathbf{B}| = \sqrt{1^2 + 9^2} = \sqrt{82} = 9.06 N. Direction: θ=arctan(9/1)=83.7\theta = \arctan(9/1) = 83.7^\circ above the positive xx-axis.

If you get this wrong, revise: Vector Operations

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Problem 7 A student proposes the formula for the period of a mass on a spring: T=2πLBkmRBT = 2\pi\sqrt◆LB◆\frac{k}{m}◆RB◆, where kk is the spring constant and mm is the mass. Use dimensional analysis to show this formula is incorrect, and find the correct form.

Answer. [T]=T[T] = \mathsf{T}. [k/m]=LB[force]/[displacement]RB◆◆LB[mass]RB=LBMLT2/LRB◆◆LBMRB=T2[k/m] = \frac◆LB◆[\mathrm{force}]/[\mathrm{displacement}]◆RB◆◆LB◆[\mathrm{mass}]◆RB◆ = \frac◆LB◆\mathsf{M}\mathsf{L}\mathsf{T}^{-2}/\mathsf{L}◆RB◆◆LB◆\mathsf{M}◆RB◆ = \mathsf{T}^{-2}. So [k/m]=T1T[\sqrt{k/m}] = \mathsf{T}^{-1} \neq \mathsf{T}. The formula is dimensionally wrong. The correct form is T=2πLBmkRBT = 2\pi\sqrt◆LB◆\frac{m}{k}◆RB◆, which gives [m/k]=LBLBMRB◆◆LBT2RB◆◆RB=T[\sqrt{m/k}] = \sqrt◆LB◆\frac◆LB◆\mathsf{M}◆RB◆◆LB◆\mathsf{T}^{-2}◆RB◆◆RB◆ = \mathsf{T}. \square

If you get this wrong, revise: Determining the Form of an Equation

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Problem 8 Convert 0.0000450 nm to SI base units with appropriate significant figures.

Answer. 0.00004500.0000450 nm =4.50×105= 4.50 \times 10^{-5} nm =4.50×105×109= 4.50 \times 10^{-5} \times 10^{-9} m =4.50×1014= 4.50 \times 10^{-14} m. The result has 3 significant figures, matching the original.

If you get this wrong, revise: SI Prefixes

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Problem 9 A resistance is calculated from R=VIR = \frac{V}{I} where V=6.00±0.05V = 6.00 \pm 0.05 V and I=0.50±0.02I = 0.50 \pm 0.02 A. Find RR and its absolute uncertainty.

Answer. R=6.000.50=12.0R = \frac{6.00}{0.50} = 12.0 Ω\Omega. Fractional uncertainties: 0.056.00=0.0083\frac{0.05}{6.00} = 0.0083 and 0.020.50=0.04\frac{0.02}{0.50} = 0.04. Total: 0.0083+0.04=0.0480.0083 + 0.04 = 0.048. ΔR=12.0×0.048=0.580.6\Delta R = 12.0 \times 0.048 = 0.58 \approx 0.6 Ω\Omega. Result: R=12.0±0.6R = 12.0 \pm 0.6 Ω\Omega.

If you get this wrong, revise: Rule 2: Multiplication and Division

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Problem 10 Explain the difference between a systematic error and a random error, giving one example of each from a measurement of the acceleration of free fall using a simple pendulum.

Answer. A systematic error is a consistent offset from the true value. Example: the bob is not perfectly point-like, effectively increasing the pendulum length. A random error causes scatter in repeated readings. Example: human reaction time when timing oscillations with a stopwatch — it varies unpredictably from trial to trial.

If you get this wrong, revise: Types of Error

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Problem 11 The gravitational potential energy is given by Ep=GMmrE_p = -\frac{GMm}{r}. Use dimensional analysis to determine the SI units of the gravitational constant GG.

Answer. [Ep]=ML2T2[E_p] = \mathsf{M}\mathsf{L}^2\mathsf{T}^{-2}. [Mm/r]=LBMMRB◆◆LBLRB=M2L1[Mm/r] = \frac◆LB◆\mathsf{M} \cdot \mathsf{M}◆RB◆◆LB◆\mathsf{L}◆RB◆ = \mathsf{M}^2\mathsf{L}^{-1}. Since Ep=GMmrE_p = -\frac{GMm}{r}: [G]=[Ep][r][Mm]=LBML2T2LRB◆◆LBM2RB=M1L3T2[G] = \frac{[E_p][r]}{[Mm]} = \frac◆LB◆\mathsf{M}\mathsf{L}^2\mathsf{T}^{-2} \cdot \mathsf{L}◆RB◆◆LB◆\mathsf{M}^2◆RB◆ = \mathsf{M}^{-1}\mathsf{L}^3\mathsf{T}^{-2}. In SI units: m3^3 kg1^{-1} s2^{-2}.

If you get this wrong, revise: Derived Units

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Problem 12 A quantity QQ is measured as Q=LBa2bRB◆◆LBcRBQ = \frac◆LB◆a^2 b◆RB◆◆LB◆\sqrt{c}◆RB◆ where a=4.0±0.2a = 4.0 \pm 0.2, b=3.0±0.1b = 3.0 \pm 0.1, c=9.0±0.3c = 9.0 \pm 0.3. Calculate QQ and its percentage uncertainty.

Answer. Q=LB16.0×3.0RB◆◆LB3.0RB=16.0Q = \frac◆LB◆16.0 \times 3.0◆RB◆◆LB◆3.0◆RB◆ = 16.0.

Fractional uncertainties: 2(0.2)4.0=0.10\frac{2(0.2)}{4.0} = 0.10 (power rule for a2a^2), 0.13.0=0.033\frac{0.1}{3.0} = 0.033 (for bb), 120.39.0=0.0167\frac{1}{2} \cdot \frac{0.3}{9.0} = 0.0167 (power rule for c1/2c^{1/2}).

Total: 0.10+0.033+0.0167=0.1500.10 + 0.033 + 0.0167 = 0.150. Percentage uncertainty: 15.0%. ΔQ=16.0×0.150=2.4\Delta Q = 16.0 \times 0.150 = 2.4. Result: Q=16.0±2.4Q = 16.0 \pm 2.4 (15%).

If you get this wrong, revise: Rule 3: Powers

8. SI Base Units in Detail

Understanding how each SI base unit is defined is essential for experimental physics and for interpreting measurements correctly.

Base QuantitySI UnitCurrent Definition (SI 2019)
Lengthmetre (m)Defined by fixing the speed of light c=299792458c = 299\,792\,458 m s1^{-1}
Masskilogram (kg)Defined by fixing the Planck constant h=6.62607015×1034h = 6.626\,070\,15 \times 10^{-34} J s
Timesecond (s)Defined by fixing the caesium frequency ΔνCs=9192631770\Delta\nu_{Cs} = 9\,192\,631\,770 Hz
Electric currentampere (A)Defined by fixing the elementary charge e=1.602176634×1019e = 1.602\,176\,634 \times 10^{-19} C
Temperaturekelvin (K)Defined by fixing the Boltzmann constant kB=1.380649×1023k_B = 1.380\,649 \times 10^{-23} J K1^{-1}
Amount of substancemole (mol)Defined by fixing the Avogadro constant NA=6.02214076×1023N_A = 6.022\,140\,76 \times 10^{23} mol1^{-1}
Luminous intensitycandela (cd)Defined by fixing the luminous efficacy Kcd=683K_{cd} = 683 lm W1^{-1}
info

Note Since 2019, all SI base units are defined in terms of fundamental physical constants. The values of cc, hh, ee, kBk_B, NAN_A, and ΔνCs\Delta\nu_{Cs} are now exact defined quantities, while the unit values are derived from them.

9. Dimensional Analysis: Extended Worked Examples

9.1 Checking Formula Validity

Example. A student proposes that the pressure at depth hh in a fluid is P=ρgh2P = \rho g h^2. Check whether this is dimensionally valid.

Answer. [P]=ML1T2[P] = \mathsf{M}\mathsf{L}^{-1}\mathsf{T}^{-2}. [ρgh2]=(ML3)(LT2)(L2)=ML0T2=MT2[\rho g h^2] = (\mathsf{M}\mathsf{L}^{-3})(\mathsf{L}\mathsf{T}^{-2})(\mathsf{L}^2) = \mathsf{M}\mathsf{L}^0\mathsf{T}^{-2} = \mathsf{M}\mathsf{T}^{-2}. This does not match [P][P]. The correct formula is P=ρghP = \rho g h, which gives [ρgh]=ML3LT2L=ML1T2=[P][\rho g h] = \mathsf{M}\mathsf{L}^{-3} \cdot \mathsf{L}\mathsf{T}^{-2} \cdot \mathsf{L} = \mathsf{M}\mathsf{L}^{-1}\mathsf{T}^{-2} = [P]. \square

9.2 Verifying the Ideal Gas Equation

Example. Show that the ideal gas equation PV=nRTPV = nRT is dimensionally consistent, where RR is the molar gas constant with units J mol1^{-1} K1^{-1}.

Answer. [PV]=(ML1T2)(L3)=ML2T2[PV] = (\mathsf{M}\mathsf{L}^{-1}\mathsf{T}^{-2})(\mathsf{L}^3) = \mathsf{M}\mathsf{L}^2\mathsf{T}^{-2}.

[nRT]=(mol)(ML2T2mol1Θ1)(Θ)=ML2T2[nRT] = (\mathrm{mol})(\mathsf{M}\mathsf{L}^2\mathsf{T}^{-2}\mathrm{ mol}^{-1}\mathsf{\Theta}^{-1})(\mathsf{\Theta}) = \mathsf{M}\mathsf{L}^2\mathsf{T}^{-2}.

Both sides have dimensions ML2T2\mathsf{M}\mathsf{L}^2\mathsf{T}^{-2}, so the equation is dimensionally consistent. \square

9.3 Determining the Form of an Equation

Example. The centripetal force on an object moving in a circle of radius rr at speed vv is assumed to depend on mass mm, speed vv, and radius rr. Find the form of the equation.

Answer. Assume F=kmavbrcF = k \cdot m^a \cdot v^b \cdot r^c.

[F]=MLT2[F] = \mathsf{M}\mathsf{L}\mathsf{T}^{-2}. [mavbrc]=Ma(LT1)bLc=MaLb+cTb[m^a v^b r^c] = \mathsf{M}^a (\mathsf{L}\mathsf{T}^{-1})^b \mathsf{L}^c = \mathsf{M}^a \mathsf{L}^{b+c} \mathsf{T}^{-b}.

Equating dimensions:

M:a=1,L:b+c=1,T:b=2    b=2\mathsf{M}: \quad a = 1, \qquad \mathsf{L}: \quad b + c = 1, \qquad \mathsf{T}: \quad -b = -2 \implies b = 2

Therefore c=12=1c = 1 - 2 = -1, giving F=kmv2/rF = k \cdot m v^2 / r. Full analysis gives k=1k = 1. \square

9.4 Unit Conversions Using Dimensional Analysis

Example. Convert a density of 5.45.4 g cm3^{-3} to kg m3^{-3}.

Answer. 5.45.4 g cm3=5.4×103^{-3} = 5.4 \times 10^{-3} kg ×(102\times (10^{-2} m)3=5.4×103×106)^{-3} = 5.4 \times 10^{-3} \times 10^6 kg m3=5400^{-3} = 5400 kg m3^{-3}.

Example. Convert 120120 km h1^{-1} to m s1^{-1}.

Answer. 120120 km h1=120×103^{-1} = 120 \times 10^3 m / 36003600 s =33.3= 33.3 m s1^{-1}.

10. Systematic Errors vs Random Errors: Detailed Comparison

FeatureSystematic ErrorRandom Error
CauseFaulty apparatus or methodEnvironmental fluctuations, resolution limits
Effect on accuracyReduces accuracy (shifts mean away from true value)Does not affect mean accuracy
Effect on precisionDoes not affect precisionReduces precision (increases scatter)
DetectionCompare with accepted value or use different methodTake repeated measurements; large scatter indicates random error
ReductionCalibrate instruments, improve methodTake more readings, use instruments with finer resolution
Effect on meanShifts the mean consistentlyMean approaches true value as nn increases
Effect on uncertaintyNot reduced by averagingReduced by Δx=σ/n\Delta x = \sigma / \sqrt{n}

Identifying Systematic Errors in Practice

Example: Zero Error. A micrometer reads 0.020.02 mm when the jaws are fully closed. Every measurement will be 0.020.02 mm too large. Correction: subtract 0.020.02 mm from all readings.

Example: Calibration Error. A stopwatch runs consistently fast by 0.10.1 s per minute. Every timed interval will be overestimated. Correction: apply a proportional correction factor.

Example: Methodological Error. In a pendulum experiment, measuring from the top of the bob rather than its centre of mass introduces a consistent offset in the effective length, shifting all calculated values of gg in the same direction.

11. Uncertainty Propagation: Extended Worked Examples

11.1 Uncertainty in a Power Relationship

Example. The area of a circle is A=πr2A = \pi r^2. If r=4.50±0.05r = 4.50 \pm 0.05 cm, find AA with its uncertainty.

Answer. A=π(4.50)2=63.62A = \pi(4.50)^2 = 63.62 cm2^2.

Fractional uncertainty in rr: Δr/r=0.05/4.50=0.0111\Delta r / r = 0.05 / 4.50 = 0.0111.

Since Ar2A \propto r^2, ΔA/A=2×0.0111=0.0222\Delta A / A = 2 \times 0.0111 = 0.0222.

ΔA=63.62×0.0222=1.41\Delta A = 63.62 \times 0.0222 = 1.41 cm2^2.

Result: A=63.6±1.4A = 63.6 \pm 1.4 cm2^2.

11.2 Combining Addition and Multiplication Rules

Example. The volume of a rectangular block is V=l×w×hV = l \times w \times h. The measurements are l=5.00±0.02l = 5.00 \pm 0.02 cm, w=3.00±0.02w = 3.00 \pm 0.02 cm, h=2.00±0.01h = 2.00 \pm 0.01 cm. Find VV with its percentage uncertainty.

Answer. V=5.00×3.00×2.00=30.00V = 5.00 \times 3.00 \times 2.00 = 30.00 cm3^3.

Fractional uncertainties: Δl/l=0.02/5.00=0.004\Delta l/l = 0.02/5.00 = 0.004, Δw/w=0.02/3.00=0.0067\Delta w/w = 0.02/3.00 = 0.0067, Δh/h=0.01/2.00=0.005\Delta h/h = 0.01/2.00 = 0.005.

Total fractional uncertainty: 0.004+0.0067+0.005=0.01570.004 + 0.0067 + 0.005 = 0.0157.

Percentage uncertainty: 1.57%1.57\%. ΔV=30.00×0.0157=0.47\Delta V = 30.00 \times 0.0157 = 0.47 cm3^3.

Result: V=30.0±0.5V = 30.0 \pm 0.5 cm3^3.

11.3 Uncertainty in a Formula with Roots

Example. The speed of a wave on a string is v=LBT/μRBv = \sqrt◆LB◆T/\mu◆RB◆, where TT is the tension and μ\mu is the mass per unit length. Given T=10.0±0.2T = 10.0 \pm 0.2 N and μ=0.0250±0.0005\mu = 0.0250 \pm 0.0005 kg m1^{-1}, find vv and its uncertainty.

Answer. v=10.0/0.0250=400=20.0v = \sqrt{10.0 / 0.0250} = \sqrt{400} = 20.0 m s1^{-1}.

Since v=T1/2μ1/2v = T^{1/2}\mu^{-1/2}, the fractional uncertainty is:

Δv/v=12(ΔT/T)+12(Δμ/μ)=12(0.2/10.0)+12(0.0005/0.0250)=0.010+0.010=0.020\Delta v/v = \frac{1}{2}(\Delta T/T) + \frac{1}{2}(\Delta\mu/\mu) = \frac{1}{2}(0.2/10.0) + \frac{1}{2}(0.0005/0.0250) = 0.010 + 0.010 = 0.020.

Δv=20.0×0.020=0.40\Delta v = 20.0 \times 0.020 = 0.40 m s1^{-1}.

Result: v=20.0±0.4v = 20.0 \pm 0.4 m s1^{-1}.

11.4 Mixed Operations: Adding Quantities Then Multiplying

Example. Two lengths are measured as l1=1.20±0.02l_1 = 1.20 \pm 0.02 m and l2=0.80±0.02l_2 = 0.80 \pm 0.02 m. Their sum is multiplied by a width w=0.50±0.01w = 0.50 \pm 0.01 m to find an area A=(l1+l2)×wA = (l_1 + l_2) \times w. Find AA and its uncertainty.

Answer. First, l1+l2=2.00l_1 + l_2 = 2.00 m. By the addition rule: Δ(l1+l2)=0.02+0.02=0.04\Delta(l_1 + l_2) = 0.02 + 0.02 = 0.04 m.

Now A=2.00×0.50=1.00A = 2.00 \times 0.50 = 1.00 m2^2. By the multiplication rule:

ΔA/A=0.04/2.00+0.01/0.50=0.020+0.020=0.040\Delta A/A = 0.04/2.00 + 0.01/0.50 = 0.020 + 0.020 = 0.040.

ΔA=1.00×0.040=0.040\Delta A = 1.00 \times 0.040 = 0.040 m2^2.

Result: A=1.00±0.04A = 1.00 \pm 0.04 m2^2.

12. Common Pitfalls

  1. Mixing absolute and percentage uncertainty when combining quantities. When adding or subtracting, use absolute uncertainties. When multiplying or dividing, use fractional (or percentage) uncertainties. Applying the wrong rule is a frequent source of error.

  2. Forgetting the power rule. If z=x3z = x^3, then Δz/z=3(Δx/x)\Delta z / z = 3(\Delta x / x), not Δz/z=Δx/x\Delta z / z = \Delta x / x. A common mistake is treating all operations as simple multiplication.

  3. Quoting too many significant figures. If the uncertainty is 0.30.3, the result should be quoted to one decimal place. Writing 9.814±0.39.814 \pm 0.3 is wrong; write 9.8±0.39.8 \pm 0.3. Match the result to the uncertainty.

  4. Assuming dimensional consistency implies correctness. An equation can be dimensionally correct but still wrong (e.g., missing a factor of π\pi or a numerical constant). Dimensional analysis is a necessary but not sufficient check.

  5. Confusing precision with accuracy. A precise set of readings (small scatter) can still be inaccurate if there is an undetected systematic error. Always consider both.

  6. Ignoring the resolution uncertainty for single readings. If you take only one reading with a ruler (smallest division 11 mm), the uncertainty is ±0.5\pm 0.5 mm (half the smallest division for analogue instruments), not zero.

  7. Using the wrong rule for digital instruments. For a digital instrument, the uncertainty equals the smallest division (the last digit), not half the smallest division.

13. Extension Problem Set

Details

Problem 1 The escape velocity from a planet of mass MM and radius RR is given by ve=2GM/Rv_e = \sqrt{2GM/R}. Use dimensional analysis to determine the SI units of the gravitational constant GG.

Answer. [ve]=LT1[v_e] = \mathsf{L}\mathsf{T}^{-1}. [2GM/R]=[G][M]/[R]=[G]ML1[2GM/R] = [G][M]/[R] = [G]\mathsf{M}\mathsf{L}^{-1}.

Setting [ve]2=[2GM/R][v_e]^2 = [2GM/R]: L2T2=[G]ML1\mathsf{L}^2\mathsf{T}^{-2} = [G]\mathsf{M}\mathsf{L}^{-1}.

[G]=L3M1T2[G] = \mathsf{L}^3\mathsf{M}^{-1}\mathsf{T}^{-2}. In SI units: m3^3 kg1^{-1} s2^{-2}.

If you get this wrong, revise: Derived Units

Details

Problem 2 A student proposes the formula for the frequency of a mass-spring system: f=LB1RB◆◆LB2πRBLBmkRBf = \frac◆LB◆1◆RB◆◆LB◆2\pi◆RB◆\sqrt◆LB◆\frac{m}{k}◆RB◆, where kk is the spring constant. Use dimensional analysis to determine whether this formula is correct.

Answer. [f]=T1[f] = \mathsf{T}^{-1}. [m/k]=LBMRB◆◆LB[force]/[displacement]RB=LBMRB◆◆LBMLT2/LRB=LBMRB◆◆LBMT2RB=T2[m/k] = \frac◆LB◆\mathsf{M}◆RB◆◆LB◆[\mathrm{force}]/[\mathrm{displacement}]◆RB◆ = \frac◆LB◆\mathsf{M}◆RB◆◆LB◆\mathsf{M}\mathsf{L}\mathsf{T}^{-2}/\mathsf{L}◆RB◆ = \frac◆LB◆\mathsf{M}◆RB◆◆LB◆\mathsf{M}\mathsf{T}^{-2}◆RB◆ = \mathsf{T}^2.

[m/k]=TT1[\sqrt{m/k}] = \mathsf{T} \neq \mathsf{T}^{-1}. The formula is incorrect. The correct form is f=LB1RB◆◆LB2πRBLBkmRBf = \frac◆LB◆1◆RB◆◆LB◆2\pi◆RB◆\sqrt◆LB◆\frac{k}{m}◆RB◆, giving [k/m]=T1=[f][\sqrt{k/m}] = \mathsf{T}^{-1} = [f]. \square

If you get this wrong, revise: Determining the Form of an Equation

Details

Problem 3 A force F=8.0±0.4F = 8.0 \pm 0.4 N acts on an object of mass m=2.00±0.05m = 2.00 \pm 0.05 kg. Calculate the acceleration a=F/ma = F/m with its percentage uncertainty.

Answer. a=8.0/2.00=4.0a = 8.0 / 2.00 = 4.0 m s2^{-2}.

Fractional uncertainties: ΔF/F=0.4/8.0=0.050\Delta F/F = 0.4/8.0 = 0.050, Δm/m=0.05/2.00=0.025\Delta m/m = 0.05/2.00 = 0.025.

Total fractional uncertainty: 0.050+0.025=0.075=7.5%0.050 + 0.025 = 0.075 = 7.5\%.

Δa=4.0×0.075=0.30\Delta a = 4.0 \times 0.075 = 0.30 m s2^{-2}.

Result: a=4.0±0.3a = 4.0 \pm 0.3 m s2^{-2} (7.5%).

If you get this wrong, revise: Rule 2: Multiplication and Division

Details

Problem 4 Show that the equation v2=u2+2asv^2 = u^2 + 2as is dimensionally valid, and determine the SI base units of a quantity with dimensions M1/2L3/2T1\mathsf{M}^{1/2}\mathsf{L}^{3/2}\mathsf{T}^{-1}.

Answer. [v2]=(LT1)2=L2T2[v^2] = (\mathsf{L}\mathsf{T}^{-1})^2 = \mathsf{L}^2\mathsf{T}^{-2}. [u2]=L2T2[u^2] = \mathsf{L}^2\mathsf{T}^{-2}. [2as]=(LT2)(L)=L2T2[2as] = (\mathsf{L}\mathsf{T}^{-2})(\mathsf{L}) = \mathsf{L}^2\mathsf{T}^{-2}. All terms match. \square

For M1/2L3/2T1\mathsf{M}^{1/2}\mathsf{L}^{3/2}\mathsf{T}^{-1}: LBkgRBm3/2s1\sqrt◆LB◆\mathrm{kg}◆RB◆ \cdot \mathrm{m}^{3/2} \cdot \mathrm{s}^{-1}. An example is GM/r\sqrt{G} \cdot M / r where GG has units m3^3 kg1^{-1} s2^{-2}, giving [G]=m3/2kg1/2s1[\sqrt{G}] = \mathrm{m}^{3/2}\mathrm{ kg}^{-1/2}\mathrm{ s}^{-1} and [GM]=m3/2kg1/2s1[\sqrt{G} \cdot M] = \mathrm{m}^{3/2}\mathrm{ kg}^{1/2}\mathrm{ s}^{-1}.

If you get this wrong, revise: Derived Units

Details

Problem 5 The kinetic energy of a particle is Ek=12mv2E_k = \frac{1}{2}mv^2. Given m=0.150±0.005m = 0.150 \pm 0.005 kg and v=3.20±0.04v = 3.20 \pm 0.04 m s1^{-1}, calculate EkE_k with its uncertainty.

Answer. Ek=0.5×0.150×3.202=0.5×0.150×10.24=0.768E_k = 0.5 \times 0.150 \times 3.20^2 = 0.5 \times 0.150 \times 10.24 = 0.768 J.

Fractional uncertainties: Δm/m=0.005/0.150=0.0333\Delta m/m = 0.005/0.150 = 0.0333. For v2v^2: 2Δv/v=2(0.04/3.20)=0.0252\Delta v/v = 2(0.04/3.20) = 0.025.

Total fractional uncertainty: 0.0333+0.025=0.05830.0333 + 0.025 = 0.0583.

ΔEk=0.768×0.0583=0.045\Delta E_k = 0.768 \times 0.0583 = 0.045 J.

Result: Ek=0.77±0.04E_k = 0.77 \pm 0.04 J.

If you get this wrong, revise: Rule 3: Powers

Details

Problem 6 A student measures the period of a pendulum as T=2.05±0.05T = 2.05 \pm 0.05 s and the length as L=1.00±0.01L = 1.00 \pm 0.01 m. Using g=4π2L/T2g = 4\pi^2 L / T^2, calculate gg with its absolute uncertainty. Comment on whether the result is consistent with the accepted value of 9.819.81 m s2^{-2}.

Answer. g=4π2×1.00/(2.05)2=39.48/4.2025=9.395g = 4\pi^2 \times 1.00 / (2.05)^2 = 39.48 / 4.2025 = 9.395 m s2^{-2}.

Fractional uncertainties: ΔL/L=0.01/1.00=0.010\Delta L/L = 0.01/1.00 = 0.010. For T2T^2: 2ΔT/T=2(0.05/2.05)=0.04882\Delta T/T = 2(0.05/2.05) = 0.0488.

Total fractional uncertainty: 0.010+0.0488=0.05880.010 + 0.0488 = 0.0588.

Δg=9.395×0.0588=0.55\Delta g = 9.395 \times 0.0588 = 0.55 m s2^{-2}.

Result: g=9.4±0.6g = 9.4 \pm 0.6 m s2^{-2}.

The accepted value 9.819.81 m s2^{-2} falls within the range 9.4±0.69.4 \pm 0.6 (i.e., 8.88.8 to 10.010.0 m s2^{-2}), so the result is consistent with the accepted value. \square

If you get this wrong, revise: Rule 3: Powers


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