if f(x) is continuous on [a,b], then there will be a point x=c that lies in between [a,b]
Back
v(t)>0
Front
p(t) is moving right
Back
If f'(x)<0
Front
f(x) is decreasing
Back
d/dx(a^u)
Front
a^u(lna)(u')
Back
p'(t)
Front
v(t)= velocity
Back
If f'(x)>0
Front
f(x) is increasing
Back
∫sec²x dx
Front
tanx+C
Back
Limit Definition of Derivative
Front
limit (as h approaches 0)= F(x+h)-F(x)/h
Back
If f'(x)=0
Front
there is a max or min on f(x) [number line test]
Back
a(t)<0
Front
v(t) decreasing
Back
If f''(x)<0
Front
f(x) is concave down & f'(x) is decreasing
Back
∫k dx [k IS A CONSTANT]
Front
kx+C
Back
limit as x approaches 0:
1-cosx/x
Front
0
Back
d/dx(cscx)
Front
-cscxcotx
Back
∫cscxcotx
Front
-cscx+C
Back
d/dx(secx)
Front
secxtanx
Back
p''(t) or v'(t)
Front
a(t)= acceleration
Back
∫(e^kx)dx
Front
ekx/k +C
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
a(t)>0
Front
v(t) increasing
Back
d/dx(cosx)
Front
-sinx
Back
∫secxtanx dx
Front
secx+C
Back
Extreme Value Theorem
Front
if f(x) is continuous on [a,b], then f(x) has an absolute max or min on the interval
Back
v(t)<0
Front
p(t) is moving left
Back
∫(1/x)dx
Front
ln|x|+C
Back
v(t) and a(t) has same signs
Front
speed of particle increasing
Back
d/dx(cotx)
Front
-csc²x
Back
∫sinx dx
Front
-cosx+C
Back
1st fundamental theorem of calculus
Front
(bounded by a to b) ∫f(x)dx= F(b)-F(a)
Back
p(t), x(t), s(t)
Front
means position function
Back
d/dx(e^u)
Front
e^u(u')
Back
If f''(x)>0
Front
f(x) is concave up & f'(x) is increasing
Back
Product rule of f(x)g(x)
Front
f'(x)g(x)+g'(x)f(x)
Back
∫cosx dx
Front
sinx+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
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
v(t)=0
Front
p(t) is at rest or changing direction
Back
Basic Derivative
Front
f(x^n)= nX^(n-1)
Back
a(t)=0
Front
v(t) not changing
Back
If f''(x)=0
Front
f(x) has a point of inflection & f'(x) has a max or min
Back
Chain rule of f(x)^n
Front
nf(x)f'(x)
Back
v(t) and a(t) has different signs
Front
speed of particle decreasing
Back
Alternate Definition of Derivative
Front
limit (as x approaches a number c)=
f(x)-f(c)/x-c x≠c
Back
d/dx(lnu)
Front
u'/u
Back
∫csc²x dx
Front
-cotx+C
Back
∫(x^n)dx
Front
x^(n+1)∕(n+1) +C
Back
d/dx(tanx)
Front
sec²x
Back
limit as x approaches 0: sinx/x
Front
1
Back
Quotient rule of f(x)/g(x)
Front
g(x)f'(x)-f(x)g'(x)/g(x)²
Back
Section 2
(23 cards)
∫du/(a²+u²)
Front
(1/a)(tan⁻¹u/a)+C
Back
∫du/|u|√(u²-a²)
Front
(1/a)(sec⁻¹u/a)+C
Back
d/dx(tan⁻¹u)
Front
u'/(1+u²)
Back
∫f(x)dx [BOUNDS ARE SAME]
Front
0
Back
average value
Front
(1/(b-a))[∫f(x)dx] [BOUNDED BY A TO B]
Back
Cross section for volume:
semicircle [A=1/2πs²]
Front
v= 1/2π∫[f(x)-g(x)]²dx
Back
d/dx(sin⁻¹u)
Front
u'/√(1-u²)
Back
derivative of exponential growth equation:
P(t)=Pe^kt
Front
dP/dt=kP
Back
total distance of particle
Front
∫|v(t)|dt
Back
d/dx(sec⁻¹u)
Front
u'/|u|√(u²-1)
Back
Cross section for volume: square [A=s²]
Front
v=∫[f(x)-g(x)]²dx
Back
d/dx(csc⁻¹u)
Front
u'/|u|√(u²-1)
Back
position of particle at specific point
Front
p(x)= initial condition + ∫v(t)dt (bounds are initial condition and p(x))
Back
d/dx(cos⁻¹u)
Front
-u'/√(1-u²)
Back
Volume (DISK)
Front
V=π∫f(x)²dx
Back
Area between curves
Front
A=∫f(x)-g(x) dx
Back
Displacement of particle
Front
∫v(t)dt
Back
Volume (WASHER)
Front
V=π∫f(x)²-g(x)²dx
Back
Cross section for volume:
isosceles triangle [A=1/2s²]
Front
v= 1/2∫[f(x)-g(x)]²dx
Back
d/dx(cot⁻¹u)
Front
-u'/(1+u²)
Back
∫du/√(a²-u²)
Front
(sin⁻¹u/a)+C
Back
2nd fundamental theorem
Front
(bounded by 1 to x)
d/dx[∫f(t)dt]= f(x)(x')
Back
Cross section for volume:
equilateral triangle [A=√3/4s²]