Grade 12 IB Math is live, AA and AI · see the IB course
MCV4U Formula Sheet · Grade 12 Calculus & VectorsOntario curriculum

Limits

Average rate of change
f(b)−f(a)b−a\frac{f(b) - f(a)}{b - a}
Slope of the tangent
m=lim⁡h→0f(a+h)−f(a)hm = \lim_{h \to 0} \frac{f(a + h) - f(a)}{h}
Limit laws
lim⁡x→a[f(x)±g(x)]=lim⁡x→af(x)±lim⁡x→ag(x)\lim_{x \to a}\big[f(x) \pm g(x)\big] = \lim_{x \to a} f(x) \pm \lim_{x \to a} g(x)

Products, quotients (nonzero denominator) and constant multiples work the same way.

Limit exists
lim⁡x→af(x)=L  ⟺  lim⁡x→a−f(x)=lim⁡x→a+f(x)=L\lim_{x \to a} f(x) = L \iff \lim_{x \to a^-} f(x) = \lim_{x \to a^+} f(x) = L
Continuity at a point
lim⁡x→af(x)=f(a)\lim_{x \to a} f(x) = f(a)
Limits at infinity
lim⁡x→±∞1xn=0\lim_{x \to \pm\infty} \frac{1}{x^n} = 0

For n>0n > 0. Divide by the highest power of xx in the denominator.

Derivatives

First principles
f′(x)=lim⁡h→0f(x+h)−f(x)hf'(x) = \lim_{h \to 0} \frac{f(x + h) - f(x)}{h}
Constant and power rules
ddx(c)=0ddx(xn)=nxn−1\frac{d}{dx}(c) = 0 \qquad \frac{d}{dx}\left(x^n\right) = nx^{n-1}
Constant multiple and sum
(cf)′=cf′(f±g)′=f′±g′\big(cf\big)' = cf' \qquad \big(f \pm g\big)' = f' \pm g'
Product rule
(fg)′=f′g+fg′\big(fg\big)' = f'g + fg'
Quotient rule
(fg)′=f′g−fg′g2\left(\frac{f}{g}\right)' = \frac{f'g - fg'}{g^2}
Chain rule
ddxf(g(x))=f′(g(x)) g′(x)dydx=dydu⋅dudx\frac{d}{dx}f\big(g(x)\big) = f'\big(g(x)\big)\,g'(x) \qquad \frac{dy}{dx} = \frac{dy}{du}\cdot\frac{du}{dx}
Tangent line
y−f(a)=f′(a)(x−a)y - f(a) = f'(a)(x - a)

The normal line has slope −1f′(a)-\frac{1}{f'(a)}.

Motion
v(t)=s′(t)a(t)=v′(t)=s′′(t)v(t) = s'(t) \qquad a(t) = v'(t) = s''(t)
Business
R(x)=x p(x)P(x)=R(x)−C(x)R(x) = x\,p(x) \qquad P(x) = R(x) - C(x)

Marginal cost, revenue and profit are C′(x)C'(x), R′(x)R'(x) and P′(x)P'(x).

Implicit differentiation
ddx(yn)=nyn−1dydx\frac{d}{dx}\left(y^n\right) = ny^{n-1}\frac{dy}{dx}

Curve Sketching

Increasing and decreasing
f′(x)>0⇒f increasingf′(x)<0⇒f decreasingf'(x) > 0 \Rightarrow f \text{ increasing} \qquad f'(x) < 0 \Rightarrow f \text{ decreasing}
Critical number
f′(c)=0  or  f′(c) undefinedf'(c) = 0 \ \text{ or } \ f'(c) \text{ undefined}
Concavity
f′′(x)>0⇒upf′′(x)<0⇒downf''(x) > 0 \Rightarrow \text{up} \qquad f''(x) < 0 \Rightarrow \text{down}

A point of inflection is where f′′f'' changes sign.

Second derivative test
f′′(c)>0⇒local minf′′(c)<0⇒local maxf''(c) > 0 \Rightarrow \text{local min} \qquad f''(c) < 0 \Rightarrow \text{local max}

At a critical number cc with f′(c)=0f'(c) = 0.

Absolute extrema on [a, b]
compare f(a), f(b), f(c)\text{compare } f(a),\ f(b),\ f(c)

cc is each critical number in [a,b][a, b]; the largest value is the max, the smallest the min.

Optimization

Optimize
f′(x)=0f'(x) = 0

Then check critical numbers and endpoints of the domain.

Related rates
dVdt=dVdr⋅drdt\frac{dV}{dt} = \frac{dV}{dr}\cdot\frac{dr}{dt}

Differentiate the equation linking the quantities with respect to tt.

Cylinder
V=πr2hSA=2πr2+2πrhV = \pi r^2 h \qquad SA = 2\pi r^2 + 2\pi rh
Cone
V=13πr2hV = \frac{1}{3}\pi r^2 h
Sphere
V=43πr3SA=4πr2V = \frac{4}{3}\pi r^3 \qquad SA = 4\pi r^2

Derivatives of Trig, Exp and Log

Exponential
ddxex=exddxbx=bxln⁡b\frac{d}{dx}e^x = e^x \qquad \frac{d}{dx}b^x = b^x\ln b
Logarithmic
ddxln⁡x=1xddxlog⁡bx=1xln⁡b\frac{d}{dx}\ln x = \frac{1}{x} \qquad \frac{d}{dx}\log_b x = \frac{1}{x\ln b}
Chain rule with e
ddxeg(x)=eg(x) g′(x)\frac{d}{dx}e^{g(x)} = e^{g(x)}\,g'(x)
Sine and cosine
ddxsin⁡x=cos⁡xddxcos⁡x=−sin⁡x\frac{d}{dx}\sin x = \cos x \qquad \frac{d}{dx}\cos x = -\sin x
Tangent
ddxtan⁡x=sec⁡2x\frac{d}{dx}\tan x = \sec^2 x
Key limit
lim⁡x→0sin⁡xx=1\lim_{x \to 0}\frac{\sin x}{x} = 1

xx in radians.

Geometric Vectors

Resultant
R⃗=u⃗+v⃗\vec{R} = \vec{u} + \vec{v}

Tip to tail, or the diagonal of the parallelogram.

Magnitude of a sum
∣u⃗+v⃗∣2=∣u⃗∣2+∣v⃗∣2+2∣u⃗∣∣v⃗∣cos⁡θ|\vec{u} + \vec{v}|^2 = |\vec{u}|^2 + |\vec{v}|^2 + 2|\vec{u}||\vec{v}|\cos\theta

θ\theta is the angle between u⃗\vec{u} and v⃗\vec{v} placed tail to tail.

Equilibrant
E⃗=−R⃗\vec{E} = -\vec{R}
Unit vector
u^=u⃗∣u⃗∣\hat{u} = \frac{\vec{u}}{|\vec{u}|}
Ground velocity
v⃗ground=v⃗air+v⃗wind\vec{v}_{\text{ground}} = \vec{v}_{\text{air}} + \vec{v}_{\text{wind}}

Cartesian Vectors

Magnitude
∣u⃗∣=u12+u22+u32|\vec{u}| = \sqrt{u_1^2 + u_2^2 + u_3^2}
Vector between points
AB→=(x2−x1, y2−y1, z2−z1)\overrightarrow{AB} = \left(x_2 - x_1,\ y_2 - y_1,\ z_2 - z_1\right)
Dot product
u⃗⋅v⃗=∣u⃗∣∣v⃗∣cos⁡θ=u1v1+u2v2+u3v3\vec{u}\cdot\vec{v} = |\vec{u}||\vec{v}|\cos\theta = u_1v_1 + u_2v_2 + u_3v_3

u⃗⋅v⃗=0\vec{u}\cdot\vec{v} = 0 when the vectors are perpendicular.

Scalar projection of u on v
∣u⃗∣cos⁡θ=u⃗⋅v⃗∣v⃗∣|\vec{u}|\cos\theta = \frac{\vec{u}\cdot\vec{v}}{|\vec{v}|}
Vector projection of u on v
projv⃗u⃗=(u⃗⋅v⃗v⃗⋅v⃗)v⃗\text{proj}_{\vec{v}}\vec{u} = \left(\frac{\vec{u}\cdot\vec{v}}{\vec{v}\cdot\vec{v}}\right)\vec{v}
Cross product
u⃗×v⃗=(u2v3−u3v2, u3v1−u1v3, u1v2−u2v1)\vec{u}\times\vec{v} = \left(u_2v_3 - u_3v_2,\ u_3v_1 - u_1v_3,\ u_1v_2 - u_2v_1\right)
Magnitude of the cross product
∣u⃗×v⃗∣=∣u⃗∣∣v⃗∣sin⁡θ|\vec{u}\times\vec{v}| = |\vec{u}||\vec{v}|\sin\theta

The area of the parallelogram the vectors span; half of it for the triangle.

Work and torque
W=F⃗⋅d⃗∣τ⃗∣=∣r⃗×F⃗∣=∣r⃗∣∣F⃗∣sin⁡θW = \vec{F}\cdot\vec{d} \qquad |\vec{\tau}| = |\vec{r}\times\vec{F}| = |\vec{r}||\vec{F}|\sin\theta
Coplanar vectors
u⃗⋅(v⃗×w⃗)=0\vec{u}\cdot\left(\vec{v}\times\vec{w}\right) = 0

Lines and Planes

Line, vector form
r⃗=r⃗0+tm⃗, t∈R\vec{r} = \vec{r}_0 + t\vec{m},\ t \in \mathbb{R}
Line, parametric form
x=x0+tm1y=y0+tm2z=z0+tm3x = x_0 + tm_1 \qquad y = y_0 + tm_2 \qquad z = z_0 + tm_3
Line, symmetric form
x−x0m1=y−y0m2=z−z0m3\frac{x - x_0}{m_1} = \frac{y - y_0}{m_2} = \frac{z - z_0}{m_3}

For m1,m2,m3≠0m_1, m_2, m_3 \neq 0.

Line in 2D, scalar form
Ax+By+C=0Ax + By + C = 0

Normal n⃗=(A,B)\vec{n} = (A, B).

Plane, vector form
r⃗=r⃗0+sa⃗+tb⃗, s,t∈R\vec{r} = \vec{r}_0 + s\vec{a} + t\vec{b},\ s, t \in \mathbb{R}
Plane, scalar form
Ax+By+Cz+D=0Ax + By + Cz + D = 0

Normal n⃗=(A,B,C)=a⃗×b⃗\vec{n} = (A, B, C) = \vec{a}\times\vec{b}.

Distance from a point to a plane
d=∣Ax0+By0+Cz0+D∣A2+B2+C2d = \frac{\left|Ax_0 + By_0 + Cz_0 + D\right|}{\sqrt{A^2 + B^2 + C^2}}
Distance from a point to a 2D line
d=∣Ax0+By0+C∣A2+B2d = \frac{\left|Ax_0 + By_0 + C\right|}{\sqrt{A^2 + B^2}}
Distance between skew lines
d=∣P1P2→⋅(m⃗1×m⃗2)∣∣m⃗1×m⃗2∣d = \frac{\left|\overrightarrow{P_1P_2}\cdot\left(\vec{m}_1\times\vec{m}_2\right)\right|}{\left|\vec{m}_1\times\vec{m}_2\right|}
made by Martian Lab · martianlab.ai