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Curve sketching and analysis, velocity, acceleration, mean value theorem, continuous functions and values of trigonometric functions
Typology: Cheat Sheet
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y = f(x) must be continuous at each:
critical point :
dy
dx
= 0 or undefined
local minimum :
dy
dx
goes (–,0,+) or (–,und,+) or
2
2
d y
dx
local maximum :
dy
dx
goes (+,0,–) or (+,und,–) or
2
2
d y
dx
point of inflection: concavity changes
2
2
d y
dx
goes from (+,0,–), (–,0,+),
d du dy dy du f u f u dx dx dx du
x
d
d dv du uv u v OR u v v dx dx dx
u
2 2
du dv dx dx v u (^) v u uv O
d u
d x v v v
1 2 0 1
1
b b a a n
n n
f x dx f x f x
f x f x
d (^) n n 1 x nx dx
d u u u dx
d u u u dx
2 tan sec '
d u u u dx
2 cot csc '
d u u u dx
d u u u u dx
d u u u u dx
ln
d du u dx u dx
d (^) u udu e e dx dx
If the function f(x) is continuous on [a, b]
and the first derivative exists on the
interval (a, b), then there exists a number
x = c on (a, b) such that
b
a
f c f x dx b a
This value f(c) is the “average value” of
the function on the interval [a, b].
where '( ) ( )
b
a
f x dx F b F a
F x f x
( )
( )
b x
a x
2 ( )
x b
x a
(about x-axis)
2 2 ( ) ( )
b
a
b
a
V Area x dx to x axis
If the function f(x) is continuous on [a, b],
and k is a number between f(a) and f(b),
then there exists at least one number x= c
in the open interval (a, b) such that
f c( ) k^.
1
2
sin
1
d du u dx (^) u dx
1
2
cos
1
d u d
u x (^) u
1 2
tan ' 1
d u d
u x u
1 2
cot 1
d u d
u x u
1
2
sec
1
d u u dx (^) u u
1
2
csc
1
d u u dx (^) u u
d (^) u u a a a dx
u
lo n
g ' l
a
d u u
u dx a
If the function f(x) is continuous on [a, b],
AND the first derivative exists on the
interval (a, b), then there is at least one
number x = c in (a, b) such that
( ) ( ) '( )
f b f a f c b a
d
dt
(position)
d
dt
(velocity)
speed = v
displacement =
f
o
t
t
v dt
final time
initial time
distance = v dt
average velocity =
s
t
final position initial position
total time
average acceleration =
v
t
final velocity initial velocity
total time
Area Formulas
Trapezoid ( )
2
1
1 2 A hb b
Circle
2
Square
2 A s
Rectangle A lw
Triangle
1
2
A bh
OR at endpoints
(+,und,–), or (–,und,+)
Asymptotes
Example:
x a y x b
Vertical Asymptote : x = b
Horizontal Asymptote : y = 1
Related Rates
Variables changing with respect to
TIME! Use implicit diff.
2
2 2
V r h
dV dh dr r h r dt dt dt
Integration
Area, Sum, Accumulation Integrate
Integral of Rate = Total or Net Change
Differentiation
Slope, Instantaneous Rate of Change
Differentiate
Derivative = Slope of Tangent Line
Differentiability
No cusps, corners, vertical tangents, or
discontinuity
Continuous Function at a point
lim lim x a x a
lim ( ) x a
f a
1
2
3
- 1
- 1
- 1
2
2
x x dx x C
x dx x C
x dx x C
x dx x C
x dx x C
x x dx x C
x dx x C
x dx x C
x dx x x C
x dx x x C
1
2 2
2 2
2 2
n n
u u
u u
b
a
f x dx f b f a
FTC II (easy version)
x
a
y f t dt
y f x
“h is the same as delta x”
0
( ) ( ) lim ' h
f x h f x f x h
Separation of Variables
kt
dy ky dt
y Ce
2 2
2 2
2 2
2 2
2 2 ' '
2 ' ' 2
'(2 1) 2
2 ' 2 1
x y y
yy y
yy y
y y
y y
1 Write function in terms of one variable.
2 Find the first derivative and set it equal to zero.
3 Check the endpoints if necessary.
nenecessarynecessarynecessary.
Optimum means either
maximum (highest value)
or minimum (lowest value).