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AP Calculus BC Formulas
Complete Reference Sheet
Wikipeterson Math

Contents

  1. Pre-Calc Essentials
  2. Limits & Continuity
  3. Derivatives
  4. Applications of Derivatives
  5. Integrals
  6. Applications of Integrals
  7. Differential Equations
  8. Parametric & Vectors
  9. Polar Curves
  10. Sequences & Series
1. Pre-Calc Essentials
Laws of Exponents

\[ a^m \cdot a^n = a^{m+n} \qquad \frac{a^m}{a^n} = a^{m-n} \qquad (a^m)^n = a^{mn} \]

\[ a^0 = 1 \qquad a^{-n} = \frac{1}{a^n} \qquad a^{1/n} = \sqrt[n]{a} \]

Laws of Logarithms

\[ \ln(ab) = \ln a + \ln b \qquad \ln\!\left(\frac{a}{b}\right) = \ln a - \ln b \qquad \ln(a^n) = n\ln a \]

\[ \ln(e^x) = x \qquad e^{\ln x} = x \]

Reciprocal & Quotient Identities

\[ \csc x = \frac{1}{\sin x} \qquad \sec x = \frac{1}{\cos x} \qquad \cot x = \frac{1}{\tan x} \]

\[ \tan x = \frac{\sin x}{\cos x} \qquad \cot x = \frac{\cos x}{\sin x} \]

Pythagorean Identities

\[ \sin^2 x + \cos^2 x = 1 \qquad 1 + \tan^2 x = \sec^2 x \qquad 1 + \cot^2 x = \csc^2 x \]

Double Angle Identities

\[ \sin 2x = 2\sin x\cos x \]

\[ \cos 2x = \cos^2 x - \sin^2 x = 1 - 2\sin^2 x = 2\cos^2 x - 1 \]

Half Angle Identities

\[ \sin^2 x = \frac{1 - \cos 2x}{2} \qquad \cos^2 x = \frac{1 + \cos 2x}{2} \]

These appear constantly when integrating \(\sin^2 x\) and \(\cos^2 x\).
Unit Circle — Key Values
Sine

\[ \sin 0 = 0 \quad \sin\frac{\pi}{6} = \frac{1}{2} \quad \sin\frac{\pi}{4} = \frac{\sqrt{2}}{2} \quad \sin\frac{\pi}{3} = \frac{\sqrt{3}}{2} \quad \sin\frac{\pi}{2} = 1 \]

Cosine

\[ \cos 0 = 1 \quad \cos\frac{\pi}{6} = \frac{\sqrt{3}}{2} \quad \cos\frac{\pi}{4} = \frac{\sqrt{2}}{2} \quad \cos\frac{\pi}{3} = \frac{1}{2} \quad \cos\frac{\pi}{2} = 0 \]

Tangent

\[ \tan 0 = 0 \quad \tan\frac{\pi}{6} = \frac{1}{\sqrt{3}} \quad \tan\frac{\pi}{4} = 1 \quad \tan\frac{\pi}{3} = \sqrt{3} \quad \tan\frac{\pi}{2} = \text{undef} \]

For other quadrants: sine is positive in Q1 and Q2; cosine in Q1 and Q4; tangent in Q1 and Q3.
2. Limits & Continuity
Definition of a Limit

\(\displaystyle\lim_{x \to c} f(x) = L\) means \(f(x)\) can be made arbitrarily close to \(L\) by taking \(x\) sufficiently close to \(c\) (but \(x \neq c\)).

The two-sided limit exists if and only if both one-sided limits exist and are equal: \[\lim_{x \to c^-} f(x) = \lim_{x \to c^+} f(x) = L\]

Squeeze Theorem

If \(g(x) \leq f(x) \leq h(x)\) near \(c\) and \(\displaystyle\lim_{x\to c} g(x) = \lim_{x\to c} h(x) = L\), then \(\displaystyle\lim_{x\to c} f(x) = L\).

Definition of Continuity

\(f\) is continuous at \(c\) if and only if all three conditions hold:

1)   \(f(c)\) is defined

2)   \(\displaystyle\lim_{x \to c} f(x)\) exists

3)   \(\displaystyle\lim_{x \to c} f(x) = f(c)\)

Intermediate Value Theorem

If \(f\) is continuous on \([a, b]\) and \(k\) is any number between \(f(a)\) and \(f(b)\), then there exists at least one \(c\) in \((a, b)\) such that \(f(c) = k\).

L'Hôpital's Rule

If \(\displaystyle\lim_{x\to c}\dfrac{f(x)}{g(x)}\) produces the indeterminate form \(\dfrac{0}{0}\) or \(\dfrac{\infty}{\infty}\), then

\[ \lim_{x\to c}\frac{f(x)}{g(x)} = \lim_{x\to c}\frac{f'(x)}{g'(x)} \]

provided the limit on the right exists.
3. Derivatives
Definition of the Derivative

\[ f'(x) = \lim_{h \to 0} \frac{f(x+h) - f(x)}{h} \]

Alternative form at a point

\[ f'(a) = \lim_{x \to a} \frac{f(x) - f(a)}{x - a} \]

Basic Rules

\[ \frac{d}{dx}\left[x^n\right] = nx^{n-1} \qquad \frac{d}{dx}\left[c\right] = 0 \qquad \frac{d}{dx}\left[cf(x)\right] = cf'(x) \]

\[ \frac{d}{dx}\left[f \pm g\right] = f' \pm g' \]

Product, Quotient & Chain Rules

\[ \frac{d}{dx}\left[fg\right] = f'g + fg' \]

\[ \frac{d}{dx}\!\left[\frac{f}{g}\right] = \frac{f'g - fg'}{g^2} \]

\[ \frac{d}{dx}\left[f(g(x))\right] = f'(g(x))\cdot g'(x) \]

Derivatives of Trigonometric Functions

\[ \frac{d}{dx}[\sin x] = \cos x \qquad \frac{d}{dx}[\cos x] = -\sin x \qquad \frac{d}{dx}[\tan x] = \sec^2 x \]

\[ \frac{d}{dx}[\cot x] = -\csc^2 x \qquad \frac{d}{dx}[\sec x] = \sec x\tan x \qquad \frac{d}{dx}[\csc x] = -\csc x\cot x \]

Derivatives of Inverse Trigonometric Functions

\[ \frac{d}{dx}[\arcsin x] = \frac{1}{\sqrt{1-x^2}} \qquad \frac{d}{dx}[\arccos x] = \frac{-1}{\sqrt{1-x^2}} \qquad \frac{d}{dx}[\arctan x] = \frac{1}{1+x^2} \]

Derivatives of Exponential & Logarithmic Functions

\[ \frac{d}{dx}\left[e^x\right] = e^x \qquad \frac{d}{dx}\left[a^x\right] = a^x \ln a \]

\[ \frac{d}{dx}[\ln x] = \frac{1}{x} \qquad \frac{d}{dx}[\log_a x] = \frac{1}{x\ln a} \]

Derivative of an Inverse Function

If \(g = f^{-1}\), then

\[ g'(x) = \frac{1}{f'(g(x))} \]

Equivalently: \(\left(f^{-1}\right)'(a) = \dfrac{1}{f'\!\left(f^{-1}(a)\right)}\)
Implicit Differentiation

Differentiate both sides with respect to \(x\). Whenever differentiating a \(y\)-term, apply the chain rule and multiply by \(\dfrac{dy}{dx}\). Then solve for \(\dfrac{dy}{dx}\).

Logarithmic Differentiation

Take \(\ln\) of both sides, differentiate implicitly, then solve for \(y'\). Especially useful for expressions of the form \(y = f(x)^{g(x)}\).

Linear Approximation

\[ f(x) \approx f(a) + f'(a)(x - a) \]

This is the tangent line at \(x = a\), used to approximate \(f\) near \(a\).
4. Applications of Derivatives
Definition of \(e\)

\[ e = \lim_{n \to \infty} \left(1 + \frac{1}{n}\right)^n \approx 2.71828\ldots \]

Critical Numbers

\(c\) is a critical number of \(f\) if \(f'(c) = 0\) or \(f'(c)\) is undefined (with \(f(c)\) defined).

Rolle's Theorem

If \(f\) is continuous on \([a, b]\), differentiable on \((a, b)\), and \(f(a) = f(b)\), then there exists at least one \(c\) in \((a, b)\) with \(f'(c) = 0\).

Mean Value Theorem

If \(f\) is continuous on \([a, b]\) and differentiable on \((a, b)\), then there exists \(c\) in \((a, b)\) such that

\[ f'(c) = \frac{f(b) - f(a)}{b - a} \]

First Derivative Test

At a critical number \(c\) of \(f\):

If \(f'\) changes from \(-\) to \(+\) at \(c\)  →  relative minimum

If \(f'\) changes from \(+\) to \(-\) at \(c\)  →  relative maximum

No sign change  →  neither

Second Derivative Test

If \(f'(c) = 0\):

\(f''(c) > 0\)  →  relative minimum

\(f''(c) < 0\)  →  relative maximum

\(f''(c) = 0\)  →  inconclusive; use First Derivative Test

Concavity & Inflection Points

\(f''(x) > 0\) on \(I\)  →  concave up on \(I\)

\(f''(x) < 0\) on \(I\)  →  concave down on \(I\)

An inflection point occurs at \(x = c\) if \(f''\) changes sign at \(c\).

Related Rates

Write an equation relating two or more quantities. Differentiate both sides with respect to \(t\), applying the chain rule. Substitute known values and solve for the unknown rate.

5. Integrals
Definition of the Definite Integral

\[ \int_a^b f(x)\,dx = \lim_{n \to \infty} \sum_{i=1}^{n} f(x_i^*)\,\Delta x \]

Fundamental Theorem of Calculus — Part 1

If \(f\) is continuous on an interval containing \(a\), then for every \(x\) in that interval,

\[ \frac{d}{dx} \int_a^x f(t)\,dt = f(x) \]

Chain Rule Version

\[ \frac{d}{dx} \int_a^{g(x)} f(t)\,dt = f(g(x))\cdot g'(x) \]

Fundamental Theorem of Calculus — Part 2

If \(F\) is any antiderivative of \(f\) on \([a, b]\), then

\[ \int_a^b f(x)\,dx = F(b) - F(a) \]

Basic Antiderivatives

\[ \int x^n\,dx = \frac{x^{n+1}}{n+1} + C \quad (n \neq -1) \qquad \int \frac{1}{x}\,dx = \ln|x| + C \]

\[ \int e^x\,dx = e^x + C \qquad \int a^x\,dx = \frac{a^x}{\ln a} + C \]

\[ \int \sin x\,dx = -\cos x + C \qquad \int \cos x\,dx = \sin x + C \]

\[ \int \sec^2 x\,dx = \tan x + C \qquad \int \csc^2 x\,dx = -\cot x + C \]

\[ \int \sec x\tan x\,dx = \sec x + C \qquad \int \csc x\cot x\,dx = -\csc x + C \]

\[ \int \frac{dx}{\sqrt{1-x^2}} = \arcsin x + C \qquad \int \frac{dx}{1+x^2} = \arctan x + C \]

\(u\)-Substitution

Let \(u = g(x)\), so \(du = g'(x)\,dx\). Rewrite the integral in terms of \(u\), integrate, then back-substitute.

\[ \int f(g(x))\,g'(x)\,dx = \int f(u)\,du \]

Integration by Parts

\[ \int u\,dv = uv - \int v\,du \]

Choose \(u\) using LIATE: Logarithm, Inverse trig, Algebraic, Trig, Exponential.
Improper Integrals

Replace an infinite bound (or a discontinuity) with a limit:

\[ \int_a^{\infty} f(x)\,dx = \lim_{t\to\infty} \int_a^t f(x)\,dx \]

The integral converges if the limit is finite; otherwise it diverges.
6. Applications of Integrals
Average Value of \(f\) on \([a,b]\)

\[ f_{\text{avg}} = \frac{1}{b-a}\int_a^b f(x)\,dx \]

Area Between Curves

\[ A = \int_a^b \bigl[f(x) - g(x)\bigr]\,dx \]

where \(f(x) \geq g(x)\) on \([a,b]\). If the curves cross, split the integral at each intersection.
Volume — Discs

\[ V = \pi \int_a^b \bigl[f(x)\bigr]^2\,dx \]

Volume — Washers

\[ V = \pi \int_a^b \Bigl(\bigl[R(x)\bigr]^2 - \bigl[r(x)\bigr]^2\Bigr)\,dx \]

\(R(x)\) = outer radius, \(r(x)\) = inner radius.
Volume — Cross Sections

\[ V = \int_a^b A(x)\,dx \]

where \(A(x)\) is the area of the cross section perpendicular to the \(x\)-axis at \(x\).
Arc Length

\[ L = \int_a^b \sqrt{1 + \bigl[f'(x)\bigr]^2}\,dx \]

Motion Along a Line

Position \(s(t)\), velocity \(v(t) = s'(t)\), speed \(= |v(t)|\), acceleration \(a(t) = v'(t)\).

\[ \text{Displacement} = \int_a^b v(t)\,dt \]

\[ \text{Total distance} = \int_a^b |v(t)|\,dt \]

Accumulation Functions

If \(F(x) = \displaystyle\int_a^x f(t)\,dt\), then \(F(x)\) gives the net accumulation of \(f\) from \(a\) to \(x\), and by FTC Part 1, \(F'(x) = f(x)\).

7. Differential Equations
Slope Fields

A slope field represents \(\dfrac{dy}{dx} = f(x,y)\) by drawing short line segments with slope \(f(x,y)\) at each point. Solution curves follow the flow of the field.

Euler's Method

Starting from \((x_0, y_0)\) with step size \(h\):

\[ y_{n+1} = y_n + h\cdot f(x_n,\, y_n) \]

Smaller step size gives a more accurate approximation.
Separable Differential Equations

If \(\dfrac{dy}{dx} = f(x)\,g(y)\), separate and integrate:

\[ \int \frac{dy}{g(y)} = \int f(x)\,dx \]

Exponential Growth & Decay

If \(\dfrac{dy}{dt} = ky\), then

\[ y = y_0\,e^{kt} \]

\(k > 0\): growth   \(k < 0\): decay
Logistic Growth

\[ \frac{dP}{dt} = kP\!\left(1 - \frac{P}{M}\right) \]

\(M\) = carrying capacity. Growth rate is greatest when \(P = \dfrac{M}{2}\).
8. Parametric Equations & Vector Motion
Parametric Derivatives

\[ \frac{dy}{dx} = \frac{dy/dt}{dx/dt} \]

Second Derivative

\[ \frac{d^2y}{dx^2} = \frac{\dfrac{d}{dt}\!\left[\dfrac{dy}{dx}\right]}{dx/dt} \]

Arc Length — Parametric

\[ L = \int_a^b \sqrt{\left(\frac{dx}{dt}\right)^{\!2} + \left(\frac{dy}{dt}\right)^{\!2}}\,dt \]

Vector Motion

Position: \(\vec{r}(t) = \langle x(t),\; y(t)\rangle\)

Velocity: \(\vec{v}(t) = \langle x'(t),\; y'(t)\rangle\)

Acceleration: \(\vec{a}(t) = \langle x''(t),\; y''(t)\rangle\)

\[ \text{Speed} = |\vec{v}(t)| = \sqrt{\bigl[x'(t)\bigr]^2 + \bigl[y'(t)\bigr]^2} \]

\[ \text{Distance traveled} = \int_a^b |\vec{v}(t)|\,dt \]

9. Polar Curves
Conversion

\[ x = r\cos\theta \qquad y = r\sin\theta \qquad r^2 = x^2 + y^2 \qquad \tan\theta = \frac{y}{x} \]

Derivative of a Polar Curve

\[ \frac{dy}{dx} = \frac{r'(\theta)\sin\theta + r(\theta)\cos\theta}{r'(\theta)\cos\theta - r(\theta)\sin\theta} \]

Area Inside a Polar Curve

\[ A = \frac{1}{2}\int_\alpha^\beta \bigl[r(\theta)\bigr]^2\,d\theta \]

Area Between Polar Curves

\[ A = \frac{1}{2}\int_\alpha^\beta \Bigl(\bigl[r_{\text{outer}}(\theta)\bigr]^2 - \bigl[r_{\text{inner}}(\theta)\bigr]^2\Bigr)\,d\theta \]

10. Sequences & Series
Convergence of a Sequence

A sequence \(\{a_n\}\) converges if \(\displaystyle\lim_{n\to\infty} a_n = L\) for some finite \(L\). Otherwise it diverges.

nth Term Test (Divergence Test)

If \(\displaystyle\lim_{n\to\infty} a_n \neq 0\), then \(\displaystyle\sum a_n\) diverges.

If \(\lim a_n = 0\), the test is inconclusive — the series may still diverge (e.g. the harmonic series).
Geometric Series

\(\displaystyle\sum_{n=0}^{\infty} ar^n\) converges if \(|r| < 1\) and diverges if \(|r| \geq 1\).

\[ \sum_{n=0}^{\infty} ar^n = \frac{a}{1-r} \qquad (|r| < 1) \]

p-Series Test

\[ \sum_{n=1}^{\infty} \frac{1}{n^p} \begin{cases} \text{converges} & p > 1 \\ \text{diverges} & p \leq 1 \end{cases} \]

The harmonic series \(\sum 1/n\) (\(p=1\)) diverges.
Comparison Test

For \(0 \leq a_n \leq b_n\): if \(\sum b_n\) converges then \(\sum a_n\) converges; if \(\sum a_n\) diverges then \(\sum b_n\) diverges.

Limit Comparison Test

If \(\displaystyle\lim_{n\to\infty}\dfrac{a_n}{b_n} = L\) where \(0 < L < \infty\), then \(\sum a_n\) and \(\sum b_n\) either both converge or both diverge.

Ratio Test

Let \(L = \displaystyle\lim_{n\to\infty}\left|\dfrac{a_{n+1}}{a_n}\right|\).

\(L < 1\)  →  converges absolutely   \(L > 1\)  →  diverges   \(L = 1\)  →  inconclusive

Alternating Series Test

\(\displaystyle\sum_{n=1}^\infty (-1)^n a_n\) converges if: (1) \(a_n > 0\), (2) \(a_n\) is decreasing, (3) \(\displaystyle\lim_{n\to\infty} a_n = 0\).

Alternating Series Remainder

\[ |S - S_n| \leq |a_{n+1}| \]

The error is bounded by the absolute value of the first neglected term.
Absolute vs. Conditional Convergence

Absolutely convergent: \(\sum |a_n|\) converges.

Conditionally convergent: \(\sum a_n\) converges but \(\sum |a_n|\) diverges.

Power Series & Radius of Convergence

A power series \(\displaystyle\sum_{n=0}^\infty c_n(x-a)^n\) has radius of convergence \(R\) found by the Ratio Test. The series converges for \(|x - a| < R\). Always check endpoints separately.

Taylor & Maclaurin Polynomials

\[ T_n(x) = \sum_{k=0}^{n} \frac{f^{(k)}(c)}{k!}(x-c)^k \]

A Maclaurin series is a Taylor series centered at \(c = 0\).
Common Maclaurin Series

\[ e^x = \sum_{n=0}^{\infty}\frac{x^n}{n!} = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \cdots \qquad \text{(all } x\text{)} \]

\[ \sin x = \sum_{n=0}^{\infty}\frac{(-1)^n x^{2n+1}}{(2n+1)!} = x - \frac{x^3}{3!} + \frac{x^5}{5!} - \cdots \qquad \text{(all } x\text{)} \]

\[ \cos x = \sum_{n=0}^{\infty}\frac{(-1)^n x^{2n}}{(2n)!} = 1 - \frac{x^2}{2!} + \frac{x^4}{4!} - \cdots \qquad \text{(all } x\text{)} \]

\[ \frac{1}{1-x} = \sum_{n=0}^{\infty} x^n = 1 + x + x^2 + x^3 + \cdots \qquad (|x| < 1) \]

\[ \ln(1+x) = \sum_{n=1}^{\infty}\frac{(-1)^{n+1}x^n}{n} = x - \frac{x^2}{2} + \frac{x^3}{3} - \cdots \qquad (-1 < x \leq 1) \]

\[ \arctan x = \sum_{n=0}^{\infty}\frac{(-1)^n x^{2n+1}}{2n+1} = x - \frac{x^3}{3} + \frac{x^5}{5} - \cdots \qquad (|x| \leq 1) \]

Lagrange Error Bound

\[ \left|R_n(x)\right| \leq \frac{M}{(n+1)!}\,|x - c|^{\,n+1} \]

where \(M\) is the maximum value of \(\left|f^{(n+1)}\right|\) on the interval between \(x\) and \(c\). The remainder satisfies \(f(x) = T_n(x) + R_n(x)\).