Section 1

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f(x) has a local max

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Last updated

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Date created

Mar 1, 2020

Cards (51)

Section 1

(50 cards)

f(x) has a local max

Front

f'(x) changes from + to -

Back

Chain Rule

Front

d/dx f(g(x)) = f'(g(x)) g'(x)

Back

Rolle's Theorem

Front

Let f be continuous on the closed interval [a, b] and differentiable on the open interval (a, b). If f(a) = f(b) then there is at least one number c in (a, b) such that f'(c)= 0

Back

f(x) has a local min

Front

f'(x) changes from - to +

Back

derivative of tanx

Front

sec^2x

Back

Derivative of cosine

Front

-sinx

Back

f(x) is concave down

Front

f''(x) is negative

Back

Mean Value Theorem

Front

if f(x) is continuous and differentiable, slope of tangent line equals slope of secant line at least once in the interval (a, b) f '(c) = [f(b) - f(a)]/(b - a)

Back

f(x) is decreasing when

Front

f'(x) is negative

Back

ln(x) =

Front

1/x

Back

The General Power Rule

Front

d/dx(u^n)=nu^(n-1)*u'

Back

e^lnx = (inverse relationship)

Front

x

Back

Derivative of cscx

Front

-cscxcotx

Back

Derivative of secx

Front

secxtanx

Back

sin^-1(x) =

Front

1/√(1-x^2)

Back

sec^-1(x) =

Front

1/|x|sqrt(x^2-1)

Back

cos^-1(x) =

Front

-1/√(1-x^2)

Back

cot^-1(x) =

Front

-1/(1+x^2)

Back

log_a(x)

Front

1/lna lnx

Back

ln(1) =

Front

0

Back

Quotient Rule

Front

(vu'-uv')/v²

Back

ln(a/b) =

Front

ln(a)-ln(b)

Back

Difference Rule for derivatives

Front

d/dx [f(x)-g(x)] = f'(x)-g'(x)

Back

Constant Multiple Rule

Front

d/dx [cf(x)] = cf'(x)

Back

derivative of sine

Front

cosx

Back

f(x) has a point of inflection

Front

f''(x) changes signs

Back

f(x) is increasing

Front

f''(x) is positive

Back

Critical Points of f

Front

points in the domain of f - that are endpoints of the domain - where f' doesn't exist - where f'=0

Back

ln(a^n) =

Front

n ln(a)

Back

Constant Rule for Derivatives

Front

d/dx (c)= 0

Back

ln(e^x) = (inverse relationship)

Front

x

Back

a^x =

Front

e^(lna)x

Back

csc^-1(x)

Front

-1/|x|sqrt(x^2-1)

Back

e^x =

Front

e^x

Back

f(x) is concave down

Front

f'(x) is decreasing

Back

ln(ab) =

Front

ln(a) + ln(b)

Back

f(x) is concave up

Front

f'(x) is increasing

Back

Intermediate Value Theorem (IVT)

Front

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

Back

Extreme Value Theorem

Front

If f is continuous on a closed interval [a,b], then f has both a minimum and a maximum on the interval.

Back

definition of continuity

Front

1. lim x→c f(x) exists. 2. f(c) exists. 3. lim x→c f(x) = f(c)

Back

a^x =

Front

a^x lna

Back

sum rule of derivatives

Front

d/dx [f(x)+g(x)] = f'(x)+g'(x)

Back

Second Derivative test

Front

if f'(c) = 0 and f''(c) > 0 then minimum; if f'(c) = 0 and f''(c) < 0 then maximum

Back

f(x) has a point of inflection

Front

f'(x) changes from inc. to dec. or dec. to inc.

Back

f(x) is increasing

Front

f'(x) is positive

Back

Derivative of cotx

Front

-csc^2x

Back

First Deviantart Test

Front

Used to determine where a function's graph has a min/max and is inc. or dec. (if a derivative goes + to -, it's a relative max. - to + is a relative min)

Back

tan^-1(x) =

Front

1/(1+x^2)

Back

log_a(x) =

Front

1/xln(a)

Back

Product Rule

Front

vu' + uv'

Back

Section 2

(1 card)

Vertical Asymptote

Front

set denominator equal to zero

Back