Mathematical formulae and identities

Based on Section 5d of the OCR MEI B (H640) specification.

Formulae you must know (not provided in exams)

Quadratic equations

  • Roots of ax2+bx+c=0ax^2 + bx + c = 0

    −b±b2−4ac2a\frac{-b \pm \sqrt{b^2 - 4ac}}{2a}

Laws of indices

  • Product

    axay=ax+ya^x a^y = a^{x+y}
  • Quotient

    ax÷ay=ax−ya^x \div a^y = a^{x-y}
  • Power of a power

    (ax)y=axy(a^x)^y = a^{xy}

Laws of logarithms

  • Definition

    x=an  ⟺  n=log⁡axx = a^n \iff n = \log_a x

    a>0,x>0a>0, x>0

  • Product

    log⁡ax+log⁡ay=log⁡a(xy)\log_a x + \log_a y = \log_a(xy)
  • Quotient

    log⁡ax−log⁡ay=log⁡a(xy)\log_a x - \log_a y = \log_a\left(\frac{x}{y}\right)
  • Power

    klog⁡ax=log⁡a(xk)k\log_a x = \log_a(x^k)

Coordinate geometry

  • Line through (x1,y1)(x_1, y_1) with gradient mm

    y−y1=m(x−x1)y - y_1 = m(x - x_1)
  • Perpendicular lines

    m1m2=−1m_1 m_2 = -1

Sequences

  • Arithmetic nth term

    un=a+(n−1)du_n = a + (n-1)d
  • Geometric nth term

    un=arn−1u_n = a r^{n-1}

Trigonometry

  • Sine rule

    asin⁡A=bsin⁡B=csin⁡C\frac{a}{\sin A} = \frac{b}{\sin B} = \frac{c}{\sin C}
  • Cosine rule

    a2=b2+c2−2bccos⁡Aa^2 = b^2 + c^2 - 2bc\cos A
  • Area of triangle

    Area=12absin⁡C\text{Area} = \tfrac{1}{2}ab\sin C
  • Pythagorean identity

    cos⁡2A+sin⁡2A≡1\cos^2 A + \sin^2 A \equiv 1
  • Secant identity

    sec⁡2A≡1+tan⁡2A\sec^2 A \equiv 1 + \tan^2 A
  • Cosecant identity

    cosec⁡2A≡1+cot⁡2A\operatorname{cosec}^2 A \equiv 1 + \cot^2 A
  • Double angle (sin)

    sin⁡2A≡2sin⁡Acos⁡A\sin 2A \equiv 2\sin A\cos A
  • Double angle (cos)

    cos⁡2A≡cos⁡2A−sin⁡2A\cos 2A \equiv \cos^2 A - \sin^2 A
  • Double angle (tan)

    tan⁡2A≡2tan⁡A1−tan⁡2A\tan 2A \equiv \frac{2\tan A}{1 - \tan^2 A}

Mechanics

  • Weight

    W=mgW = mg
  • Friction

    F≤μRF \le \mu R
  • Newton's Second Law

    F=maF = ma
  • Variable acceleration

    v=drdt, a=dvdt=d2rdt2v = \frac{dr}{dt},\ a = \frac{dv}{dt} = \frac{d^2r}{dt^2}
  • Integrate

    r=∫v dt, v=∫a dtr = \int v\,dt,\ v = \int a\,dt

Statistics

  • Mean

    xˉ=∑xn=∑fx∑f\bar{x} = \frac{\sum x}{n} = \frac{\sum fx}{\sum f}
  • Standard Normal

    Z=X−μσZ = \frac{X - \mu}{\sigma}, X∼N(μ,σ2)X \sim N(\mu, \sigma^2)

Formulae provided in exams

Arithmetic series

  • Sum

    Sn=12n(a+l)=12n[2a+(n−1)d]S_n = \frac{1}{2}n(a+l) = \frac{1}{2}n[2a + (n-1)d]

Geometric series

  • Sum

    Sn=a(1−rn)1−rS_n = \frac{a(1-r^n)}{1-r}
  • Sum to infinity

    S∞=a1−rS_\infty = \frac{a}{1-r}

    ∣r∣<1|r| < 1

Binomial series

  • Expansion

    (a+b)n=an+nC1an−1b+⋯+nCran−rbr+⋯+bn(a+b)^n = a^n + {}^nC_1 a^{n-1}b + \dots + {}^nC_r a^{n-r}b^r + \dots + b^n

    n∈Nn \in \mathbb{N}

  • General power

    (1+x)n=1+nx+n(n−1)2!x2+…(1+x)^n = 1 + nx + \frac{n(n-1)}{2!}x^2 + \dots

    ∣x∣<1|x| < 1, n∈Rn \in \mathbb{R}

Differentiation

  • Quotient rule

    y=uv, dydx=vdudx−udvdxv2y = \frac{u}{v},\ \frac{dy}{dx} = \frac{v\frac{du}{dx} - u\frac{dv}{dx}}{v^2}
  • First principles

    f′(x)=lim⁡h→0f(x+h)−f(x)hf'(x) = \lim_{h\to 0}\frac{f(x+h)-f(x)}{h}

Integration

  • Log form

    ∫f′(x)f(x) dx=ln⁡∣f(x)∣+c\int\frac{f'(x)}{f(x)}\,dx = \ln|f(x)| + c
  • Power form

    ∫f′(x)(f(x))n dx=(f(x))n+1n+1+c\int f'(x)(f(x))^n\,dx = \frac{(f(x))^{n+1}}{n+1} + c

Small angles

  • Approximations (radians)

    sin⁡θ≈θ, cos⁡θ≈1−12θ2, tan⁡θ≈θ\sin\theta \approx \theta,\ \cos\theta \approx 1 - \tfrac{1}{2}\theta^2,\ \tan\theta \approx \theta

Compound angles

  • sin

    sin⁡(A±B)=sin⁡Acos⁡B±cos⁡Asin⁡B\sin(A \pm B) = \sin A\cos B \pm \cos A\sin B
  • cos

    cos⁡(A±B)=cos⁡Acos⁡B∓sin⁡Asin⁡B\cos(A \pm B) = \cos A\cos B \mp \sin A\sin B
  • tan

    tan⁡(A±B)=tan⁡A±tan⁡B1∓tan⁡Atan⁡B\tan(A \pm B) = \frac{\tan A \pm \tan B}{1 \mp \tan A\tan B}

Numerical methods

  • Trapezium rule

    ∫aby dx≈12h[(y0+yn)+2(y1+⋯+yn−1)]\int_a^b y\,dx \approx \tfrac{1}{2}h[(y_0+y_n) + 2(y_1+\dots+y_{n-1})]

    h=(b−a)/nh = (b-a)/n

  • Newton–Raphson

    xn+1=xn−f(xn)f′(xn)x_{n+1} = x_n - \frac{f(x_n)}{f'(x_n)}

Probability

  • Addition

    P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B)
  • Multiplication

    P(A∩B)=P(A)P(B∣A)P(A \cap B) = P(A)P(B|A)
  • Conditional

    P(A∣B)=P(A∩B)P(B)P(A|B) = \frac{P(A \cap B)}{P(B)}

Sample variance

  • Variance

    s2=1n−1Sxxs^2 = \frac{1}{n-1}S_{xx}

    Sxx=∑(xi−xˉ)2S_{xx} = \sum(x_i - \bar{x})^2

Binomial distribution

  • Probability

    P(X=r)=nCrprqn−rP(X=r) = {}^nC_r p^r q^{n-r}

    q=1−pq = 1-p

  • Mean

    E(X)=npE(X) = np

Normal sample mean

  • Distribution

    Xˉ∼N ⁣(μ,σ2n)\bar{X} \sim N\!\left(\mu, \frac{\sigma^2}{n}\right)
  • Standardised

    Xˉ−μσ/n∼N(0,1)\frac{\bar{X} - \mu}{\sigma/\sqrt{n}} \sim N(0,1)

Kinematics

  • SUVAT 1D

    v=u+at, s=ut+12at2v = u + at,\ s = ut + \tfrac{1}{2}at^2
  • SUVAT 1D

    s=12(u+v)t, v2=u2+2ass = \tfrac{1}{2}(u+v)t,\ v^2 = u^2 + 2as
  • SUVAT 1D

    s=vt−12at2s = vt - \tfrac{1}{2}at^2
  • SUVAT 2D

    v=u+at, s=ut+12at2\mathbf{v} = \mathbf{u} + \mathbf{a}t,\ \mathbf{s} = \mathbf{u}t + \tfrac{1}{2}\mathbf{a}t^2