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Vocabulary flashcards for derivative and integral rules, limit rules, and theorems.
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Product Rule
f(x)g(x) = f(x)g'(x) + g(x)f'(x)
Quotient Rule
d/dx [f(x)/g(x)] = [g(x)f'(x) - f(x)g'(x)] / (g(x))^2
Chain Rule
d/dx [f(g(x))] = f'(g(x)) * g'(x)
Derivative of sin(x)
cos(x)
Derivative of cos(x)
-sin(x)
Derivative of tan(x)
sec²(x)
Derivative of cot(x)
-csc²(x)
Derivative of sec(x)
sec(x)tan(x)
Derivative of csc(x)
-csc(x)cot(x)
Derivative of ln(x)
1/x
Derivative of e^x
e^x
Derivative of a^x
a^x * ln(a)
Integral of x^n
(x^(n+1))/(n+1) + C
Integral of e^x
e^x + C
Integral of cos(x)
sin(x) + C
Integral of sin(x)
-cos(x) + C
Integral of sec²(x)
tan(x) + C
Integral of csc²(x)
-cot(x) + C
Limit when solving for 0/0
Factor, use the conjugate method, clean up messy fractions, or use L'Hospital's Rule
L'Hospital's Rule
If lim (f(x)/g(x)) = 0/0 or ±∞/±∞, then lim (f(x)/g(x)) = lim (f'(x)/g'(x))
Definition of Continuity
f is continuous at x=c if 1) f(c) is defined; 2) lim x->c f(x) exists; 3) lim x->c f(x) = f(c).
Definition of the Derivative
f'(x) = lim h->0 [f(x+h) - f(x)] / h
Average Rate of Change
[f(b) - f(a)] / (b - a)
Intermediate Value Theorem
If f is continuous on [a, b] and d is any number between f(a) and f(b), then there is at least one number c between a and b such that f(c) = d.
Mean Value Theorem
If f is continuous on [a, b] and differentiable on (a, b), then there exists at least one c in (a, b) such that f'(c) = [f(b) - f(a)] / (b - a).
Extreme Value Theorem
If a function is continuous on a closed interval, then the function is guaranteed to have an absolute maximum and an absolute minimum in the interval.
Mean Value Theorem (Integrals)
If f is continuous on [a, b], then there exists a value c in [a, b] such that f(c) = [1/(b-a)] * ∫[a to b] f(x) dx.
First Fundamental Theorem of Calculus
∫[a to b] f'(x) dx = f(b) - f(a)
Second Fundamental Theorem of Calculus
d/dx [∫[a to x] f(t) dt] = f(x)
Definition of a Critical Number
Let f be defined at c. If f'(c) = 0 or if f' is undefined at c, then c is a critical number of f.
First Derivative Test
If f'(x) changes from negative to positive at c, then f(c) is a relative minimum. If f'(x) changes from positive to negative at c, then f(c) is a relative maximum.
Second Derivative Test
1) If f'(c)=0 and f''(c)>0, then f(c) is a relative minimum. 2) If f'(c)=0 and f''(c)<0, then f(c) is a relative maximum.
Definition of Concavity
The graph of f is concave upward on I if f' is increasing on the interval and concave downward on I if f' is decreasing on the interval.
Definition of an Inflection Point
A function f has an inflection point at (c, f(c)) if 1) f''(c)=0 or f''(c) does not exist and 2) if f'' changes sign from positive to negative or negative to positive at x=c.
Trapezoidal Rule
A= (b-a)/(2n) * [1st height + 2(middle heights) + last height]
Average Value of f(x) on [a, b]
fave = [1/(b-a)] * ∫[a to b] f(x) dx
Euler's Method
y(i+1) = y(i) + dy/dx * Δx
Integration by Parts
∫ u dv = uv - ∫ v du
Law of Exponential Change
dy/dx = ky
Disk Method (Horizontal Axis)
V = π ∫ [R(x)]^2 dx, where R(x) = upper bound - lower bound
Washer Method (Horizontal Axis)
V = π ∫ ([R(x)]^2 - [r(x)]^2) dx
Arc Length
AL = ∫[a to b] √[1 + (f'(x))^2] dx
Velocity
v(t) = s'(t)
Acceleration
a(t) = v'(t) = s''(t)
Speed
|v(t)|
Parametric Arc Length
L = ∫[a to b] √[(dx/dt)^2 + (dy/dt)^2] dt
Area inside a polar curve
A = (1/2) ∫[a to b] r^2 dθ
Taylor Polynomial
P_n(x) = f(c) + f'(c)(x-c) + (f''(c)/2!)(x-c)^2 + … + (f^n(c)/n!)(x-c)^n
Maclaurin Series for 1/(1-x)
Σ x^n from n=0 to ∞
Maclaurin Series for cos(x)
Σ (-1)^n * (x^(2n))/(2n)! from n=0 to ∞
Maclaurin Series for e^x
Σ (x^n)/n! from n=0 to ∞
Maclaurin Series for sin(x)
Σ (-1)^n * (x^(2n+1))/(2n+1)! from n=0 to ∞