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Epsilon-Delta definition of a limit
the limit as x approaches a of f(x) = L for every epsilon (change in x) > 0 there is a delta (change in y) > 0 such that 0 < | x - a | < delta then | f(x) - L | < epsilon
L’Hopital Rule
when 0 infinity → limit as x goes to a is g(x)/(1/(fx))
when 1^infinity, infinity^0, 0^0, → e^ (limit as x goes to a of g(x) * ln(f(x)))
Continuity Definition
if f(n) exists, limit as x goes to n of f(x) exists, that limit = f(n), then the function is continuous
Squeeze Theorem
f(x) <= g(x) <= h(x), if the limit as x goes to c for f(x) and h(x) both equal L then limit as x goes to c for g(x) is also L
Intermediate Value Theorem
f is continuous on [a,b] and L is between f(a) & f(b)
then there is a n where a < n < b so that f(n) = L
Limit of the tangent line
m = limit as x goes to n ( f(x) - f(n) ) / ( x - n )
Types of Discontinuity
removable discontinuity - limits on both side exist and are equal but the function’s value at that point is different (a hole on a line)
jump discontinuity - left and right limits exist but are different
Horizontal Asymptote
limit as x goes to + or - infinity of f(x) = L then y=L is a horizontal asymptote
Vertical Asymptote
limit as x goes to a of f(x) = + or - infinity then x=a is a vertical asymptote
Sin x derivative
Cos x
Cos x derivative
-Sin x
Tan x derivative
Sec²x
Sec x derivative
(Sec x)(Tan x)
Cot x derivative
-Csc² x
Csc x derivative
(-Csc x)(Cot x)
Arcsin x derivative
1 / sqrt(1-x²)
Arccos x derivative
-1 / sqrt(1-x²)
Arctan x derivative
1 / (1 + x²)
Arccot x derivative
-1 / (1 + x²)
Arcsec x derivative
1 / ( |x| sqrt(x²-1) )
Arccsc x derivative
-1 / ( |x| sqrt(x²-1) )
e^x derivative
e^x
ln(x) derivative
1/x
a^x derivative
(a^x)(lna)
logax derivative
1 / ( x * lna)
Implicit Differentiation
when equation is in terms of x and y:
take derivative of both sides
solve for dy/dx
!!y is a function of x!!
Logarithmic Differentiation
when f has x in base and exponent:
take natural log of both sides and use rules to simplify
use implicit differentiation
solve for dy/dx
!!y is a function of x!!
limit as theta goes to 0 for (sin theta) / theta
= 1
limit as theta goes to 0 for (cos theta - 1) / theta
= 0
Linearization
LC(x) = f(c) + f’(c)( x - c )
f(x) is about LC(x)
Differentials
dy = f‘(c)Δx
f(x + Δx) ≈ f(x) + f’(x)Δx
Δy ≈ dy
Extreme Value Theorem
if a function is continuous on [a,b] then it has an absolute max and min
Fermat’s Theorem (critical points)
if f’(c) = 0 or DNE a function has local min or max @ x = c
Mean Value Theorem
f is continuous on [a,b] and differentiable on (a,b)
then there is a c in (a,b) such that f’(c) = f(b) - f(a) / b - a
Rolle’s Theorem
f is continuous on [a,b] and differentiable on (a,b)
then there is a c in (a,b) such that f’(c) = 0 (horizontal tangent line)
Finding global max and min on [a,b]
1) find f’(c) = 0 or DNE
2) plug critical points, a, b into f(x)
3) compare values
First Derivative Test
c is a critical point
f’ goes from + to -, local max @ x = c
f’ goes from - to +, local min @ x = c
Points of inflection
tells when the graph is concave up or down
f’’(c) = 0 or DNE
Second Derivative Test
c is a crit point, f’(c) = 0 for all of these
f’’(c) > 0, local min @ x = c (concave up)
f’’(c) < 0, local max @ x = c (concave down)
f’’(c) = 0, SDT fails, use FDT
Area and Riemann Sum
left and right: xi = a + iΔx
middle: xi = a + (i-1/2)Δx
Δx = b - a / n
Limit Definition of Definite Integral
right points: ∫ab f(x)dx = limit as n goes to infinity of n Σ i = 1 (f(xi)Δx)
left points: ∫ab f(x)dx = limit as n goes to infinity of n-1 Σ i = 0 (f(xi)Δx)
mid points: ∫ab f(x)dx = limit as n goes to infinity of n Σ i = 1 (f(mi)Δx)
Upper and Lower Bounds for Estimating Definite Integrals
m <= f(x) <= M
then
m(b-a) <= ∫ab f(x) dx <= M(b-a)
Definite Integral Properties
∫ab c dx = c(b-a)
∫aa f(x) dx = 0
∫ac f(x) dx = ∫ab f(x) dx + ∫bc f(x) dx
FTC-1
f is continuous on [a,b]
G(x) = ∫ax f(t) dt for all x in [a,b]
G(x) is an antiderivative of f(t)
(basically just plug in the function of x into f(t) to get the antiderivative)
FTC-II
F is an antiderivative on [a,b]
∫ab f(x) dx = F(b) - F(a)
Integration by Parts
LIATE (log, inverse trig, algebraic, trig, exponential) ← for u values
uv - ∫vdu
Type-I Region
y = f(x) and y = g(x)
2 vertical lines x=a and x=b
f(x) >= g(x) then
∫ab f(x) - g(x) dx = Area
Type-II Region
x = f(y) and x = g(y)
2 horizontal lines y=a and y=b
f(y) >= g(y) then
∫cd f(y) - g(y) dy = Area
Disk Formula
rotation around horizontal line: ∫ab [f(x)]² dx = Area
rotation around vertical line: ∫cd [f(y)]² dy = Area
Washer Method
f is outer function and g is inner function
rotation around horizontal line: ∫ab [f(x)]² - [g(x)]² dx = Area
rotation around vertical line: ∫ab [f(y)]² - [g(y)]² dy = Area
Shell Method
rotation around vertical line: ∫ab 2pi r(x)h(x) dx = Area (r(x) = x if around x=0)
rotation around horizontal line: ∫cd 2pi r(y)h(y) dy = Area (r(y) = y if around y=0)
cos(ax) antiderivative
1/a * sin(ax) + c
sin(ax) antiderivative
-1/a * cos(ax)
sec²(ax) antiderivative
1/a * tan(ax)
sec(ax)tan(ax) antiderivative
1/a * sec(ax)
csc²(ax) antiderivative
-1/a cot(ax)
csc(ax)cot(ax) antiderivative
-1/a * csc(ax)
What inverse trig antiderivatives ARE known?
arcsin, arctan, arccos, arcsec
e^x antiderivative
e^x
1/x antiderivative
ln|x|
a^x antiderivative
a^x/lnx