if f(x) is continuous on [a,b], then f(x) has an absolute max or min on the interval
Back
d/dx(secx)
Front
secxtanx
Back
a(t)<0
Front
v(t) decreasing
Back
If f'(x)=0
Front
there is a max or min on f(x) [number line test]
Back
d/dx(tanx)
Front
sec²x
Back
If f''(x)<0
Front
f(x) is concave down & f'(x) is decreasing
Back
v(t)=0
Front
p(t) is at rest or changing direction
Back
Rolle's Theorem
Front
if f(x) is continuous on [a,b] and differentiable on (a,b), and if f(a)=f(b), then there is at least one point (x=c) on (a,b) [DON'T INCLUDE END POINTS] where f'(c)=0
Back
Quotient rule of f(x)/g(x)
Front
g(x)f'(x)-f(x)g'(x)/g(x)²
Back
1st fundamental theorem of calculus
Front
(bounded by a to b) ∫f(x)dx= F(b)-F(a)
Back
limit as x approaches 0: sinx/x
Front
1
Back
∫secxtanx dx
Front
secx+C
Back
∫sinx dx
Front
-cosx+C
Back
∫(1/x)dx
Front
ln|x|+C
Back
v(t) and a(t) has different signs
Front
speed of particle decreasing
Back
p''(t) or v'(t)
Front
a(t)= acceleration
Back
Mean Value Theorem
Front
if f(x) is continuous on [a,b] and differentiable on (a,b), there is at least one point (x=c) where f'(c)= F(b)-F(a)/b-a
Back
∫(x^n)dx
Front
x^(n+1)∕(n+1) +C
Back
d/dx(sinx)
Front
cosx
Back
d/dx(lnu)
Front
u'/u
Back
d/dx(cscx)
Front
-cscxcotx
Back
∫cscxcotx
Front
-cscx+C
Back
Intermediate Value Theorem
Front
if f(x) is continuous on [a,b], then there will be a point x=c that lies in between [a,b]
Back
Alternate Definition of Derivative
Front
limit (as x approaches a number c)=
f(x)-f(c)/x-c x≠c
Back
Continuity Rule
Front
If the limit exists (aka left limit and right limit are equal), and the limit equals the function at that point.
Back
Limit Definition of Derivative
Front
limit (as h approaches 0)= F(x+h)-F(x)/h
Back
d/dx(e^u)
Front
e^u(u')
Back
v(t)>0
Front
p(t) is moving right
Back
v(t)<0
Front
p(t) is moving left
Back
If f''(x)=0
Front
f(x) has a point of inflection & f'(x) has a max or min
Back
v(t) and a(t) has same signs
Front
speed of particle increasing
Back
Chain rule of f(x)^n
Front
nf(x)f'(x)
Back
If f'(x)<0
Front
f(x) is decreasing
Back
Section 2
(23 cards)
total distance of particle
Front
∫|v(t)|dt
Back
Displacement of particle
Front
∫v(t)dt
Back
Cross section for volume:
isosceles triangle [A=1/2s²]
Front
v= 1/2∫[f(x)-g(x)]²dx
Back
∫du/√(a²-u²)
Front
(sin⁻¹u/a)+C
Back
∫du/(a²+u²)
Front
(1/a)(tan⁻¹u/a)+C
Back
∫f(x)dx [BOUNDS ARE SAME]
Front
0
Back
d/dx(tan⁻¹u)
Front
u'/(1+u²)
Back
Volume (WASHER)
Front
V=π∫f(x)²-g(x)²dx
Back
∫du/|u|√(u²-a²)
Front
(1/a)(sec⁻¹u/a)+C
Back
d/dx(sec⁻¹u)
Front
u'/|u|√(u²-1)
Back
average value
Front
(1/(b-a))[∫f(x)dx] [BOUNDED BY A TO B]
Back
d/dx(cos⁻¹u)
Front
-u'/√(1-u²)
Back
2nd fundamental theorem
Front
(bounded by 1 to x)
d/dx[∫f(t)dt]= f(x)(x')
Back
Cross section for volume: square [A=s²]
Front
v=∫[f(x)-g(x)]²dx
Back
Area between curves
Front
A=∫f(x)-g(x) dx
Back
d/dx(sin⁻¹u)
Front
u'/√(1-u²)
Back
Cross section for volume:
semicircle [A=1/2πs²]
Front
v= 1/2π∫[f(x)-g(x)]²dx
Back
d/dx(cot⁻¹u)
Front
-u'/(1+u²)
Back
Cross section for volume:
equilateral triangle [A=√3/4s²]
Front
v= √3/4∫[f(x)-g(x)]²dx
Back
d/dx(csc⁻¹u)
Front
u'/|u|√(u²-1)
Back
derivative of exponential growth equation:
P(t)=Pe^kt
Front
dP/dt=kP
Back
position of particle at specific point
Front
p(x)= initial condition + ∫v(t)dt (bounds are initial condition and p(x))