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Flashcards for AP Calculus BC review, covering pre-calculus identities, limits, continuity, derivatives, and integration techniques.
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Quotient Identities
sin(x)/cos(x) = tan(x), cos(x)/sin(x) = cot(x)
Reciprocal Identities
sec(x) = 1/cos(x), csc(x) = 1/sin(x)
Pythagorean Identities
sin^2(x) + cos^2(x) = 1, sec^2(x) - tan^2(x) = 1
Double Angle Identities
sin(2x) = 2sin(x)cos(x), cos(2x) = cos^2(x) - sin^2(x)
Even-Odd Identities
sin(-x) = -sin(x), cos(-x) = cos(x), tan(-x) = -tan(x)
Sum & Difference Identities
sin(A + B) = sin(A)cos(B) + cos(A)sin(B), cos(A + B) = cos(A)cos(B) - sin(A)sin(B)
Distance Between Two Points
sqrt((x2 - x1)^2 + (y2 - y1)^2)
Midpoint Formula
((x1 + x2)/2, (y1 + y2)/2)
Laws of Logarithms
ln(ab) = ln(a) + ln(b), ln(a/b) = ln(a) - ln(b), ln(a^n) = n*ln(a)
One-sided Limits
lim (x->a-) f(x) = L (from left), lim (x->a+) f(x) = L (from right)
Definition of a Limit
lim (x->a) f(x) = L iff lim (x->a-) f(x) = lim (x->a+) f(x) = L
Definition of Vertical Asymptote
The line x = a is a vertical asymptote iff lim (x->a) f(x) = ±∞
Definition of Horizontal Asymptote
The line y = a is a horizontal asymptote iff lim (x->±∞) f(x) = a
Definition of Continuity
A function f is continuous at x = a iff 1. f(a) exists, 2. lim (x->a) f(x) exists, 3. lim (x->a) f(x) = f(a)
Intermediate Value Theorem (IVT)
If 1. f is continuous on [a, b], 2. f(a) ≠ f(b), 3. k is between f(a) and f(b), then there exists a number c between a and b for which f(c) = k
Squeeze Theorem
If f(x) ≤ g(x) ≤ h(x) and lim (x->a) f(x) = L and lim (x->a) h(x) = L, then lim (x->a) g(x) = L
Definition of the Derivative
f'(x) = lim (h->0) (f(x+h) - f(x))/h
Normal Line
The line perpendicular to the tangent line at the point of tangency.
Average Rate of Change
Δy/Δx = (f(b) - f(a))/(b - a)
Chain Rule
If h(x) = f(g(x)), then h'(x) = f'(g(x)) * g'(x)
Product Rule
(fg)' = f'g + fg'
Quotient Rule
(f/g)' = (f'g - fg')/g^2
L'Hopital's Rule
If lim (x->a) f(x)/g(x) is of the form 0/0 or ∞/∞, then lim (x->a) f(x)/g(x) = lim (x->a) f'(x)/g'(x)
Extreme Value Theorem (EVT)
If f is continuous on a closed interval [a, b], then f has an absolute max and an absolute min on the interval [a, b].
Definition of Critical Points
A critical point of f is a number c such that either f'(c) = 0 or f'(c) does not exist.
Mean Value Theorem
If 1. f is continuous on [a, b] and 2. differentiable on (a, b), then there exists a number c between a and b such that f'(c) = (f(b) - f(a))/(b - a)
Rolle's Theorem
If 1. f is continuous on [a, b], 2. Differentiable on (a, b), and 3. f(a) = f(b), then there is at least one number c on (a, b) such that f'(c) = 0
First Derivative Test for Relative Extrema
If f' changes from positive to negative at c, then f(c) is a relative max. If f' changes from negative to positive at c, then f(c) is a relative min.
Test for Concavity
Definition of a Point of Inflection (POI)
A point on the graph of f where the concavity of f changes.
Second Derivative Test for Relative Extrema
Given f'(c) = 0, then if f''(c) < 0, then f(c) is a max; if f''(c) > 0, then f(c) is a min.
Fundamental Theorem of Calculus (Part 1)
∫[a, b] f(x) dx = F(b) - F(a), where F(x) is an anti-derivative of f(x).
Average Value of a Function
f_avg = (1/(b-a)) ∫[a, b] f(x) dx
Fundamental Theorem of Calculus (Part 2)
d/dx ∫[c, x] f(t) dt = f(x)
Area Between Two Curves
A = ∫a, b - g(x)) dx, where f(x) > g(x)
Volumes of Solids (Known Cross Sections)
V = ∫[a, b] A(x) dx
Solids of Revolution (Discs)
V = π ∫[a, b] R(x)^2 dx
Arc Length
L = ∫[a, b] √(1 + (f'(x))^2) dx
Integration by Parts
∫ u dv = uv - ∫ v du
Euler's Method
ynew = yold + m * Δx, where m = dy/dx
Logistic Growth
dP/dt = kP(L - P), where L is the carrying capacity.
Speed of a 2-D Vector
speed = √((dx/dt)^2 + (dy/dt)^2)
Polar Area
Area = (1/2) ∫[α, β] r^2 dθ
Divergence Test (nth term test)
If lim (n->∞) a_n ≠ 0, then the series diverges.
Geometric Series
∑ ar^n converges if |r| < 1 and diverges if |r| ≥ 1. Sum = a/(1-r)
P-series
∑ 1/n^p converges if p > 1 and diverges if p ≤ 1
Integral Test
If f(n) = an, f is continuous, positive, and decreasing, then ∑ an and ∫ f(x) dx both converge or both diverge.
Direct Comparison Test
If 0 < an ≤ bn and ∑ bn converges, then ∑ an converges. If 0 < bn ≤ an and ∑ bn diverges, then ∑ an diverges.
Limit Comparison Test
If lim (n->∞) an/bn = L > 0, then ∑ an and ∑ bn both converge or both diverge.
Alternating Series Test
∑ (-1)^n an converges if an is decreasing and lim (n->∞) a_n = 0
Ratio Test
If lim (n->∞) |a(n+1)/an| < 1, then the series converges. If lim (n->∞) |a(n+1)/an| > 1, then the series diverges.
Root Test
If lim (n->∞) (an)^(1/n) < 1, then the series converges. If lim (n->∞) (an)^(1/n) > 1, then the series diverges.
Maclaurin Series for e^x
e^x = ∑ (x^n)/n! from n=0 to ∞. Interval of convergence: (-∞, ∞)
Maclaurin Series for sin(x)
sin(x) = ∑ ((-1)^n * x^(2n+1))/(2n+1)! from n=0 to ∞. Interval of convergence: (-∞, ∞)
Maclaurin Series for cos(x)
cos(x) = ∑ ((-1)^n * x^(2n))/(2n)! from n=0 to ∞. Interval of convergence: (-∞, ∞)