Chain Rule:dxdf(u)=f′(u)⋅u′ or dxdf(g(x))=f′(g(x))⋅g′(x)
Power Rule:dxdxn=nxn−1
dxdln(x)=x1, dxdln(u)=uu′
dxdloga(x)=xln(a)1
dxdex=ex, dxdax=axln(a)
dxdsin(x)=cos(x)
dxdcos(x)=−sin(x)
dxdtan(x)=sec2(x)
dxdcot(x)=−csc2(x)
dxdsec(x)=sec(x)tan(x)
dxdcsc(x)=−csc(x)cot(x)
dxdarcsin(x)=1−x21
dxdarctan(x)=1+x21
Definition of Derivative:f′(x)=limΔx→0Δxf(x+Δx)−f(x)
Alternative form: f′(a)=limx→ax−af(x)−f(a)
Another alternative form: f′(a)=limh→0hf(a+h)−f(a)
Integrals
∫xndx=n+1xn+1+C, where n=−1
∫x1dx=ln∣x∣+C
∫uu′dx=ln∣u∣+C
∫exdx=ex+C
∫axdx=ln(a)ax+C
∫cos(x)dx=sin(x)+C
∫sin(x)dx=−cos(x)+C
∫sec2(x)dx=tan(x)+C
∫tan(x)dx=−ln∣cos(x)∣+C
∫cot(x)dx=ln∣sin(x)∣+C
∫sec(x)tan(x)dx=sec(x)+C
∫csc(x)cot(x)dx=−csc(x)+C
∫csc2(x)dx=−cot(x)+C
∫a2+u2u′du=a1arctan(au)+C
∫a2−u2u′du=arcsin(au)+C
Integration by Parts:∫udv=uv−∫vdu
Trigonometric Identities
tan(x)=cos(x)sin(x)
sin2(x)+cos2(x)=1
tan2(x)=sec2(x)−1
Elementary Series
ex=1+x+2!x2+3!x3+…+n!xn+…
sin(x)=x−3!x3+5!x5−…+(−1)n(2n+1)!x2n+1+…
cos(x)=1−2!x2+4!x4−…+(−1)n(2n)!x2n+…
Taylor and Maclaurin Series
Taylor Series: f(x)=f(c)+f′(c)(x−c)+2!f′′(c)(x−c)2+3!f′′′(c)(x−c)3+…+n!fn(c)(x−c)n+…
Maclaurin Series: Taylor series with c=0
Logistic Growth
dtdP=kP(M−P), where M is the carrying capacity.
Fastest growth occurs when P=2M.
Euler's Method
dxdy≈ΔxΔy
Second Fundamental Theorem of Calculus
dxd∫uvf(t)dt=f(v)⋅v′−f(u)⋅u′
Area Approximation
Area of Trapezoid:A=w(2h<em>1+h</em>2)
Riemann Sum: Sum of areas of rectangles.
Series Error Bounds
Alternating Series Error:∣error∣≤an+1 (the next term)
Lagrange Error Bound: ∣error∣≤(n+1)!fn+1(z)(x−c)n+1, where fn+1(z) is the maximum value of the (n+1)-th derivative between x and c
Volume
Disc Method:V=π∫abr2dx
Washer Method:V=π∫ab(R2−r2)dx
Cross-Sectional Area:V=∫abA(x)dx
Start plus Accumulation
f(b)=f(a)+∫abf′(x)dx
Fundamental Theorem of Calculus
∫abf′(x)dx=f(b)−f(a)
Tests for Convergence/Divergence
nth Term Test: If lim<em>n→∞a</em>n=0, then the series diverges (but cannot be used to show convergence).
Geometric Series Test:∑n=1∞arn−1 converges if |r| < 1 and diverges if ∣r∣≥1. If convergent, the sum S=1−ra.
p-Series Test:∑n=1∞np1 converges if p > 1 and diverges if p≤1.
Alternating Series Test: For an alternating series with decreasing terms where lim<em>n→∞a</em>n=0, the series converges.
Integral Test: If f(x) is positive, continuous, and decreasing, then ∑<em>n=1∞a</em>n converges if ∫1∞f(x)dx converges, and diverges if the integral diverges.
Ratio Test:
If \lim{n \to \infty} |\frac{a{n+1}}{a_n}| < 1, the series converges.
If \lim{n \to \infty} |\frac{a{n+1}}{a_n}| > 1, the series diverges.
If lim<em>n→∞∣ana</em>n+1∣=1, the test is inconclusive (works well for factorials and exponentials).
Direct Comparison Test:
If 0≤a<em>n≤b</em>n and ∑b<em>n converges, then ∑a</em>n converges.
If a<em>n≥b</em>n≥0 and ∑b<em>n diverges, then ∑a</em>n diverges.
Limit Comparison Test: If lim<em>n→∞bna</em>n is finite and positive, then both series converge or both diverge (use with "messy" algebraic series, usually compared to a p-series).
Rates of Change
Average Rate of Change (AROC):b−af(b)−f(a) (slope between two points)
Instantaneous Rate of Change (IROC):f′(c) (slope at a single point)
Mean Value Theorem
b−af(b)−f(a)=f′(c); find c where m<em>sec=m</em>tan.
Must be continuous on [a,b] and differentiable on (a,b).
Average Value of a Function
f<em>avg=b−a1∫</em>abf(x)dx=widtharea
Intermediate Value Theorem
If a function f is continuous on [a,b], it takes on every y-value between f(a) and f(b).
Extreme Value Theorem
If a function f is continuous on [a,b], it has both an absolute minimum and an absolute maximum on the interval.
Definition of Continuity
A function f is continuous at x=c if and only if lim<em>x→c−f(x)=lim</em>x→c+f(x)=f(c).
Squeeze Theorem
If f(x)≤g(x)≤h(x) for all x=c in some interval containing c, and if lim<em>x→cf(x)=lim</em>x→ch(x)=L, then limx→cg(x)=L.