IB Maths AI formula booklet, explained

Every formula from the prior learning page and the five topics, word for word and in the order the IB prints them. Press Explain beside an entry to see what it means and how to use it, with worked examples for the formulas.

Booklet
Mathematics: applications and interpretation formula booklet, first examinations 2021, version 1.0
Syllabus
Mathematics: Applications and Interpretation, first assessment 2021
Levels
SL and HL, switch between them above the booklet
In the exam
You get the official printed copy, not this page and not our explanations
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Mathematics: applications and interpretation formula booklet

First examinations 2021, Version 1.0

Reproduced from the IB Mathematics: applications and interpretation formula booklet, First examinations 2021, Version 1.0. Explanations are ours.

Prior learning

SL and HL

Area of a parallelogram
A=bhA = bh
, where bb is the base, hh is the height
Area of a triangle
A=12(bh)A = \frac{1}{2}(bh)
, where bb is the base, hh is the height
Area of a trapezoid
A=12(a+b)hA = \frac{1}{2}(a + b)h
, where aa and bb are the parallel sides, hh is the height
Area of a circle
A=πr2A = \pi r^2
, where rr is the radius
Circumference of a circle
C=2πrC = 2\pi r
, where rr is the radius
Volume of a cuboid
V=lwhV = lwh
, where ll is the length, ww is the width, hh is the height
Volume of a cylinder
V=πr2hV = \pi r^2 h
, where rr is the radius, hh is the height
Volume of prism
V=AhV = Ah
, where AA is the area of cross-section, hh is the height
Area of the curved surface of a cylinder
A=2πrhA = 2\pi rh
, where rr is the radius, hh is the height
Distance between two points (x1,y1)(x_1, y_1) and (x2,y2)(x_2, y_2)
d=(x1−x2)2+(y1−y2)2d = \sqrt{(x_1 - x_2)^2 + (y_1 - y_2)^2}
Coordinates of the midpoint of a line segment with endpoints (x1,y1)(x_1, y_1) and (x2,y2)(x_2, y_2)
(x1+x22, y1+y22)\left(\frac{x_1 + x_2}{2},\ \frac{y_1 + y_2}{2}\right)

HL only

Solutions of a quadratic equation
The solutions of ax2+bx+c=0 are x=−b±b2−4ac2a\text{The solutions of } ax^2 + bx + c = 0 \text{ are } x = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a}
, a≠0a \neq 0

Topic 1: Number and algebra

SL and HL

SL 1.2
The nnth term of an arithmetic sequence
un=u1+(n−1)du_n = u_1 + (n - 1)d
SL 1.2
The sum of nn terms of an arithmetic sequence
Sn=n2(2u1+(n−1)d)S_n = \frac{n}{2}\left(2u_1 + (n - 1)d\right)
Sn=n2(u1+un)S_n = \frac{n}{2}(u_1 + u_n)
SL 1.3
The nnth term of a geometric sequence
un=u1rn−1u_n = u_1 r^{n-1}
SL 1.3
The sum of nn terms of a finite geometric sequence
Sn=u1(rn−1)r−1=u1(1−rn)1−rS_n = \frac{u_1(r^n - 1)}{r - 1} = \frac{u_1(1 - r^n)}{1 - r}
, r≠1r \neq 1
SL 1.4
Compound interest
FV=PV×(1+r100k)knFV = PV \times \left(1 + \frac{r}{100k}\right)^{kn}
, where FVFV is the future value, PVPV is the present value, nn is the number of years, kk is the number of compounding periods per year, r%r\% is the nominal annual rate of interest
SL 1.5
Exponents and logarithms
ax=b⇔x=log⁡aba^x = b \Leftrightarrow x = \log_a b
, where a>0,b>0,a≠1a > 0, b > 0, a \neq 1
SL 1.6
Percentage error
ε=∣vA−vEvE∣×100%\varepsilon = \left|\frac{v_{\mathrm{A}} - v_{\mathrm{E}}}{v_{\mathrm{E}}}\right| \times 100\%
, where vEv_{\mathrm{E}} is the exact value and vAv_{\mathrm{A}} is the approximate value of vv

HL only

AHL 1.9
Laws of logarithms
log⁡axy=log⁡ax+log⁡ay\log_a xy = \log_a x + \log_a y
log⁡axy=log⁡ax−log⁡ay\log_a \frac{x}{y} = \log_a x - \log_a y
log⁡axm=mlog⁡ax\log_a x^m = m\log_a x
for a,x,y>0a, x, y > 0
AHL 1.11
The sum of an infinite geometric sequence
S∞=u11−rS_\infty = \frac{u_1}{1 - r}
, ∣r∣<1|r| < 1
AHL 1.12
Complex numbers
z=a+biz = a + b\mathrm{i}
AHL 1.12
Discriminant
Δ=b2−4ac\Delta = b^2 - 4ac
AHL 1.13
Modulus-argument (polar) and exponential (Euler) form
z=r(cos⁡θ+isin⁡θ)=reiθ=rcis⁡θz = r(\cos\theta + \mathrm{i}\sin\theta) = r\mathrm{e}^{\mathrm{i}\theta} = r\operatorname{cis}\theta
AHL 1.14
Determinant of a 2×22 \times 2 matrix
A=(abcd)⇒det⁡A=∣A∣=ad−bc\boldsymbol{A} = \begin{pmatrix} a & b \\ c & d \end{pmatrix} \Rightarrow \det\boldsymbol{A} = |\boldsymbol{A}| = ad - bc
AHL 1.14
Inverse of a 2×22 \times 2 matrix
A=(abcd)⇒A−1=1det⁡A(d−b−ca)\boldsymbol{A} = \begin{pmatrix} a & b \\ c & d \end{pmatrix} \Rightarrow \boldsymbol{A}^{-1} = \frac{1}{\det\boldsymbol{A}}\begin{pmatrix} d & -b \\ -c & a \end{pmatrix}
, ad≠bcad \neq bc
AHL 1.15
Power formula for a matrix
Mn=PDnP−1\boldsymbol{M}^n = \boldsymbol{PD}^n\boldsymbol{P}^{-1}
, where P\boldsymbol{P} is the matrix of eigenvectors and D\boldsymbol{D} is the diagonal matrix of eigenvalues

Topic 2: Functions

SL and HL

SL 2.1
Equations of a straight line
y=mx+cy = mx + c
ax+by+d=0ax + by + d = 0
y−y1=m(x−x1)y - y_1 = m(x - x_1)
SL 2.1
Gradient formula
m=y2−y1x2−x1m = \frac{y_2 - y_1}{x_2 - x_1}
SL 2.5
Axis of symmetry of the graph of a quadratic function
f(x)=ax2+bx+c⇒axis of symmetry is x=−b2af(x) = ax^2 + bx + c \Rightarrow \text{axis of symmetry is } x = -\frac{b}{2a}

HL only

AHL 2.9
Logistic function
f(x)=L1+Ce−kxf(x) = \frac{L}{1 + C\mathrm{e}^{-kx}}
, L,k,C>0L, k, C > 0

Topic 3: Geometry and trigonometry

SL and HL

SL 3.1
Distance between two points (x1,y1,z1)(x_1, y_1, z_1) and (x2,y2,z2)(x_2, y_2, z_2)
d=(x1−x2)2+(y1−y2)2+(z1−z2)2d = \sqrt{(x_1 - x_2)^2 + (y_1 - y_2)^2 + (z_1 - z_2)^2}
SL 3.1
Coordinates of the midpoint of a line segment with endpoints (x1,y1,z1)(x_1, y_1, z_1) and (x2,y2,z2)(x_2, y_2, z_2)
(x1+x22, y1+y22, z1+z22)\left(\frac{x_1 + x_2}{2},\ \frac{y_1 + y_2}{2},\ \frac{z_1 + z_2}{2}\right)
SL 3.1
Volume of a right-pyramid
V=13AhV = \frac{1}{3}Ah
, where AA is the area of the base, hh is the height
SL 3.1
Volume of a right cone
V=13πr2hV = \frac{1}{3}\pi r^2 h
, where rr is the radius, hh is the height
SL 3.1
Area of the curved surface of a cone
A=πrlA = \pi rl
, where rr is the radius, ll is the slant height
SL 3.1
Volume of a sphere
V=43πr3V = \frac{4}{3}\pi r^3
, where rr is the radius
SL 3.1
Surface area of a sphere
A=4πr2A = 4\pi r^2
, where rr is the radius
SL 3.2
Sine rule
asin⁡A=bsin⁡B=csin⁡C\frac{a}{\sin A} = \frac{b}{\sin B} = \frac{c}{\sin C}
SL 3.2
Cosine rule
c2=a2+b2−2abcos⁡Cc^2 = a^2 + b^2 - 2ab\cos C
cos⁡C=a2+b2−c22ab\cos C = \frac{a^2 + b^2 - c^2}{2ab}
SL 3.2
Area of a triangle
A=12absin⁡CA = \frac{1}{2}ab\sin C
SL 3.4
Length of an arc
l=θ360×2πrl = \frac{\theta}{360} \times 2\pi r
, where θ\theta is the angle measured in degrees, rr is the radius
SL 3.4
Area of a sector
A=θ360×πr2A = \frac{\theta}{360} \times \pi r^2
, where θ\theta is the angle measured in degrees, rr is the radius

HL only

AHL 3.7
Length of an arc
l=rθl = r\theta
, where rr is the radius, θ\theta is the angle measured in radians
AHL 3.7
Area of a sector
A=12r2θA = \frac{1}{2}r^2\theta
, where rr is the radius, θ\theta is the angle measured in radians
AHL 3.8
Identities
cos⁡2θ+sin⁡2θ=1\cos^2\theta + \sin^2\theta = 1
tan⁡θ=sin⁡θcos⁡θ\tan\theta = \frac{\sin\theta}{\cos\theta}
AHL 3.9
Transformation matrices
(cos⁡2θsin⁡2θsin⁡2θ−cos⁡2θ)\begin{pmatrix} \cos 2\theta & \sin 2\theta \\ \sin 2\theta & -\cos 2\theta \end{pmatrix}
, reflection in the line y=(tan⁡θ)xy = (\tan\theta)x
(k001)\begin{pmatrix} k & 0 \\ 0 & 1 \end{pmatrix}
, horizontal stretch / stretch parallel to xx-axis with a scale factor of kk
(100k)\begin{pmatrix} 1 & 0 \\ 0 & k \end{pmatrix}
, vertical stretch / stretch parallel to yy-axis with a scale factor of kk
(k00k)\begin{pmatrix} k & 0 \\ 0 & k \end{pmatrix}
, enlargement, with a scale factor of kk, centre (0,0)(0, 0)
(cos⁡θ−sin⁡θsin⁡θcos⁡θ)\begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix}
, anticlockwise/counter-clockwise rotation of angle θ\theta about the origin (θ>0\theta > 0)
(cos⁡θsin⁡θ−sin⁡θcos⁡θ)\begin{pmatrix} \cos\theta & \sin\theta \\ -\sin\theta & \cos\theta \end{pmatrix}
, clockwise rotation of angle θ\theta about the origin (θ>0\theta > 0)
AHL 3.10
Magnitude of a vector
∣v∣=v12+v22+v32|\boldsymbol{v}| = \sqrt{v_1^2 + v_2^2 + v_3^2}
, where v=(v1v2v3)\boldsymbol{v} = \begin{pmatrix} v_1 \\ v_2 \\ v_3 \end{pmatrix}
AHL 3.11
Vector equation of a line
r=a+λb\boldsymbol{r} = \boldsymbol{a} + \lambda\boldsymbol{b}
AHL 3.11
Parametric form of the equation of a line
x=x0+λl, y=y0+λm, z=z0+λnx = x_0 + \lambda l,\ y = y_0 + \lambda m,\ z = z_0 + \lambda n
AHL 3.13
Scalar product
v⋅w=v1w1+v2w2+v3w3\boldsymbol{v} \cdot \boldsymbol{w} = v_1 w_1 + v_2 w_2 + v_3 w_3
, where v=(v1v2v3)\boldsymbol{v} = \begin{pmatrix} v_1 \\ v_2 \\ v_3 \end{pmatrix}, w=(w1w2w3)\boldsymbol{w} = \begin{pmatrix} w_1 \\ w_2 \\ w_3 \end{pmatrix}
v⋅w=∣v∣∣w∣cos⁡θ\boldsymbol{v} \cdot \boldsymbol{w} = |\boldsymbol{v}||\boldsymbol{w}|\cos\theta
, where θ\theta is the angle between v\boldsymbol{v} and w\boldsymbol{w}
AHL 3.13
Angle between two vectors
cos⁡θ=v1w1+v2w2+v3w3∣v∣∣w∣\cos\theta = \frac{v_1 w_1 + v_2 w_2 + v_3 w_3}{|\boldsymbol{v}||\boldsymbol{w}|}
AHL 3.13
Vector product
v×w=(v2w3−v3w2v3w1−v1w3v1w2−v2w1)\boldsymbol{v} \times \boldsymbol{w} = \begin{pmatrix} v_2 w_3 - v_3 w_2 \\ v_3 w_1 - v_1 w_3 \\ v_1 w_2 - v_2 w_1 \end{pmatrix}
, where v=(v1v2v3)\boldsymbol{v} = \begin{pmatrix} v_1 \\ v_2 \\ v_3 \end{pmatrix}, w=(w1w2w3)\boldsymbol{w} = \begin{pmatrix} w_1 \\ w_2 \\ w_3 \end{pmatrix}
∣v×w∣=∣v∣∣w∣sin⁡θ|\boldsymbol{v} \times \boldsymbol{w}| = |\boldsymbol{v}||\boldsymbol{w}|\sin\theta
, where θ\theta is the angle between v\boldsymbol{v} and w\boldsymbol{w}
AHL 3.13
Area of a parallelogram
A=∣v×w∣A = |\boldsymbol{v} \times \boldsymbol{w}|
where v\boldsymbol{v} and w\boldsymbol{w} form two adjacent sides of a parallelogram

Topic 4: Statistics and probability

SL and HL

SL 4.2
Interquartile range
IQR=Q3−Q1\mathrm{IQR} = Q_3 - Q_1
SL 4.3
Mean, xˉ\bar{x}, of a set of data
xˉ=∑i=1kfixin\bar{x} = \frac{\sum\limits_{i=1}^{k} f_i x_i}{n}
, where n=∑i=1kfin = \sum\limits_{i=1}^{k} f_i
SL 4.5
Probability of an event AA
P(A)=n(A)n(U)\mathrm{P}(A) = \frac{n(A)}{n(U)}
SL 4.5
Complementary events
P(A)+P(A′)=1\mathrm{P}(A) + \mathrm{P}(A') = 1
SL 4.6
Combined events
P(A∪B)=P(A)+P(B)−P(A∩B)\mathrm{P}(A \cup B) = \mathrm{P}(A) + \mathrm{P}(B) - \mathrm{P}(A \cap B)
SL 4.6
Mutually exclusive events
P(A∪B)=P(A)+P(B)\mathrm{P}(A \cup B) = \mathrm{P}(A) + \mathrm{P}(B)
SL 4.6
Conditional probability
P(A∣B)=P(A∩B)P(B)\mathrm{P}(A \mid B) = \frac{\mathrm{P}(A \cap B)}{\mathrm{P}(B)}
SL 4.6
Independent events
P(A∩B)=P(A) P(B)\mathrm{P}(A \cap B) = \mathrm{P}(A)\,\mathrm{P}(B)
SL 4.7
Expected value of a discrete random variable XX
E(X)=∑x P(X=x)\mathrm{E}(X) = \sum x\,\mathrm{P}(X = x)
SL 4.8
Binomial distribution X∼B(n,p)X \sim \mathrm{B}(n, p)
SL 4.8
Mean
E(X)=np\mathrm{E}(X) = np
SL 4.8
Variance
Var(X)=np(1−p)\mathrm{Var}(X) = np(1 - p)

HL only

AHL 4.14
Linear transformation of a single random variable
E(aX+b)=aE(X)+b\mathrm{E}(aX + b) = a\mathrm{E}(X) + b
Var(aX+b)=a2 Var(X)\mathrm{Var}(aX + b) = a^2\,\mathrm{Var}(X)
AHL 4.14
Linear combinations of nn independent random variables, X1,X2,...,XnX_1, X_2, ..., X_n
E(a1X1±a2X2±…±anXn)=a1E(X1)±a2E(X2)±…±anE(Xn)\mathrm{E}(a_1X_1 \pm a_2X_2 \pm \ldots \pm a_nX_n) = a_1\mathrm{E}(X_1) \pm a_2\mathrm{E}(X_2) \pm \ldots \pm a_n\mathrm{E}(X_n)
Var(a1X1±a2X2±…±anXn)=a12 Var(X1)+a22 Var(X2)+…+an2 Var(Xn)\begin{aligned} &\mathrm{Var}(a_1X_1 \pm a_2X_2 \pm \ldots \pm a_nX_n) \\ &\qquad = a_1^2\,\mathrm{Var}(X_1) + a_2^2\,\mathrm{Var}(X_2) + \ldots + a_n^2\,\mathrm{Var}(X_n) \end{aligned}
AHL 4.14
Sample statistics
AHL 4.14
Unbiased estimate of population variance sn−12s_{n-1}^2
sn−12=nn−1sn2s_{n-1}^2 = \frac{n}{n - 1}s_n^2
AHL 4.17
Poisson distribution X∼Po(m)X \sim \mathrm{Po}(m)
AHL 4.17
Mean
E(X)=m\mathrm{E}(X) = m
AHL 4.17
Variance
Var(X)=m\mathrm{Var}(X) = m
AHL 4.19
Transition matrices
Tns0=sn\boldsymbol{T}^n\boldsymbol{s}_0 = \boldsymbol{s}_n
, where s0\boldsymbol{s}_0 is the initial state

Topic 5: Calculus

SL and HL

SL 5.3
Derivative of xnx^n
f(x)=xn⇒f′(x)=nxn−1f(x) = x^n \Rightarrow f'(x) = nx^{n-1}
SL 5.5
Integral of xnx^n
∫xn dx=xn+1n+1+C\int x^n\,\mathrm{d}x = \frac{x^{n+1}}{n + 1} + C
, n≠−1n \neq -1
SL 5.5
Area of region enclosed by a curve y=f(x)y = f(x) and the xx-axis, where f(x)>0f(x) > 0
A=∫aby dxA = \int_a^b y\,\mathrm{d}x
SL 5.8
The trapezoidal rule
∫aby dx≈12h((y0+yn)+2(y1+y2+…+yn−1))\int_a^b y\,\mathrm{d}x \approx \frac{1}{2}h\left((y_0 + y_n) + 2(y_1 + y_2 + \ldots + y_{n-1})\right)
, where h=b−anh = \frac{b - a}{n}

HL only

AHL 5.9
Derivative of sin⁡x\sin x
f(x)=sin⁡x⇒f′(x)=cos⁡xf(x) = \sin x \Rightarrow f'(x) = \cos x
AHL 5.9
Derivative of cos⁡x\cos x
f(x)=cos⁡x⇒f′(x)=−sin⁡xf(x) = \cos x \Rightarrow f'(x) = -\sin x
AHL 5.9
Derivative of tan⁡x\tan x
f(x)=tan⁡x⇒f′(x)=1cos⁡2xf(x) = \tan x \Rightarrow f'(x) = \frac{1}{\cos^2 x}
AHL 5.9
Derivative of ex\mathrm{e}^x
f(x)=ex⇒f′(x)=exf(x) = \mathrm{e}^x \Rightarrow f'(x) = \mathrm{e}^x
AHL 5.9
Derivative of ln⁡x\ln x
f(x)=ln⁡x⇒f′(x)=1xf(x) = \ln x \Rightarrow f'(x) = \frac{1}{x}
AHL 5.9
Chain rule
y=g(u), where u=f(x)⇒dydx=dydu×dudxy = g(u)\text{, where } u = f(x) \Rightarrow \frac{\mathrm{d}y}{\mathrm{d}x} = \frac{\mathrm{d}y}{\mathrm{d}u} \times \frac{\mathrm{d}u}{\mathrm{d}x}
AHL 5.9
Product rule
y=uv⇒dydx=udvdx+vdudxy = uv \Rightarrow \frac{\mathrm{d}y}{\mathrm{d}x} = u\frac{\mathrm{d}v}{\mathrm{d}x} + v\frac{\mathrm{d}u}{\mathrm{d}x}
AHL 5.9
Quotient rule
y=uv⇒dydx=vdudx−udvdxv2y = \frac{u}{v} \Rightarrow \frac{\mathrm{d}y}{\mathrm{d}x} = \frac{v\dfrac{\mathrm{d}u}{\mathrm{d}x} - u\dfrac{\mathrm{d}v}{\mathrm{d}x}}{v^2}
AHL 5.11
Standard integrals
∫1x dx=ln⁡∣x∣+C\int \frac{1}{x}\,\mathrm{d}x = \ln|x| + C
∫sin⁡x dx=−cos⁡x+C\int \sin x\,\mathrm{d}x = -\cos x + C
∫cos⁡x dx=sin⁡x+C\int \cos x\,\mathrm{d}x = \sin x + C
∫1cos⁡2x=tan⁡x+C\int \frac{1}{\cos^2 x} = \tan x + C
∫ex dx=ex+C\int \mathrm{e}^x\,\mathrm{d}x = \mathrm{e}^x + C
AHL 5.12
Area of region enclosed by a curve and xx or yy-axes
A=∫ab∣y∣ dxA = \int_a^b |y|\,\mathrm{d}x
or
A=∫ab∣x∣ dyA = \int_a^b |x|\,\mathrm{d}y
AHL 5.12
Volume of revolution about xx or yy-axes
V=∫abπy2 dxV = \int_a^b \pi y^2\,\mathrm{d}x
or
V=∫abπx2 dyV = \int_a^b \pi x^2\,\mathrm{d}y
AHL 5.13
Acceleration
a=dvdt=d2sdt2=vdvdsa = \frac{\mathrm{d}v}{\mathrm{d}t} = \frac{\mathrm{d}^2 s}{\mathrm{d}t^2} = v\frac{\mathrm{d}v}{\mathrm{d}s}
AHL 5.13
Distance travelled from t1t_1 to t2t_2
distance=∫t1t2∣v(t)∣ dt\text{distance} = \int_{t_1}^{t_2} |v(t)|\,\mathrm{d}t
AHL 5.13
Displacement from t1t_1 to t2t_2
displacement=∫t1t2v(t) dt\text{displacement} = \int_{t_1}^{t_2} v(t)\,\mathrm{d}t
AHL 5.16
Euler’s method
yn+1=yn+h×f(xn,yn)y_{n+1} = y_n + h \times f(x_n, y_n)
xn+1=xn+hx_{n+1} = x_n + h
, where hh is a constant (step length)
AHL 5.16
Euler’s method for coupled systems
xn+1=xn+h×f1(xn,yn,tn)yn+1=yn+h×f2(xn,yn,tn)tn+1=tn+h\begin{aligned} &x_{n+1} = x_n + h \times f_1(x_n, y_n, t_n) \\ &y_{n+1} = y_n + h \times f_2(x_n, y_n, t_n) \\ &t_{n+1} = t_n + h \end{aligned}
where hh is a constant (step length)
AHL 5.17
Exact solution for coupled linear differential equations
x=Aeλ1tp1+Beλ2tp2\boldsymbol{x} = A\mathrm{e}^{\lambda_1 t}\boldsymbol{p}_1 + B\mathrm{e}^{\lambda_2 t}\boldsymbol{p}_2

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