AP CALCULUS BC Stuff you MUST Know Cold
[Pages:2]l'Hopital's Rule
If
f (a) 0 =
or =
,
g(a) 0
f (x)
f '( x )
then lim
= lim
x a g ( x ) x a g '( x )
Average Rate of Change (slope of the secant line)
If the points (a, f(a)) and (b, f(b)) are on the graph of f(x) the average rate of change of f(x) on the interval [a,b] is
f (b) - f (a)
b-a
Definition of Derivative (slope of the tangent line)
f (x + h) - f (x)
f
'( x)
=
lim
h0
h
Derivatives
( ) d xn = nxn-1
dx
d (sin x) = cosx
dx
d (cos x) = -sin x
dx
d ( tan x) = sec2x
dx
d (cot x) = -csc2x
dx
d (sec x) = tanx sec x
dx
d (csc x) = -cotx csc x
dx
d
(ln u )
=
1 du
dx
u
( ) d eu = eudu
dx
d dx
(loga
x)
=
1 x ln
a
d (au ) = ax (ln a) du
dx
AP CALCULUS BC Stuff you MUST Know Cold
Properties of Log and Ln 1. ln1 = 0 2. ln ea = a 3.eln x = x 4. ln xn = n ln x
5. ln (ab) = ln a + ln b 6.ln (a b ) = ln a - ln b
Differentiation Rules
Chain Rule
d
[
f
(u)]
=
f
du '(u)
dx
dx
Product Rule
d
( uv )
dv =u
du +v
dx
dx dx
Quotient Rule
du dv
d dx
u v
=
v
-u dx
v2
dx
Mean Value & Rolle's Theorem
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
f (b) - f (a) that f '(c) =
b-a
if f(a) = f(b), then f '(c) = 0.
Curve sketching and analysis
y = f(x) must be continuous at each:
critical point:
dy dx
=0
or undefined.
dy
local minimum: goes (-,0,+) or
dx
d2y
(-,und,+) or
>0
dx2
dy
local maximum: goes (+,0,-) or
dx
d2y (+,und,-) or dx2 < 0
Absolute Max/Min.: Compare local
extreme values to values
at endpoints.
pt of inflection : concavity changes.
d2y
goes (+,0,-),(-,0,+),
dx2
(+,und,-), or (-,und,+)
"PLUS A CONSTANT"
The Fundamental Theorem of
Calculus
b
f (x)dx = F (b) - F (a)
a
where F '(x) = f (x)
2nd Fundamental Theorem of Calculus
d g (x)
f (x)dx = f (g(x)) g '(x) dx #
Average Value
If the function f(x) is continuous on
[a, b] and the first derivative exist
on the interval (a, b), then there
exists a number x = c on (a, b) such
that
f (c) =
1
b
f (x)dx
b-a a
f (c) is the average value
Euler's Method dy
If given that = f (x, y) and dx
that the solution passes through (x0, y0), then
x new = x old + x dy
ynew = yold + dx (xold , yold ) x
Logistics Curves
L
P(t) =
,
1 + Ce-(Lk )t
where L is carrying capacity
Maximum growth rate occurs when
P = ? L
dP = kP(L - P) or
dt
dP
P
= (Lk)P(1 - )
dt
L
Integrals
kf (u)du = k f (u)du
du = u + C
undu = un+1 + C, n -1 n +1
1 u
du
=
ln
|
u
|
+C
eudu = eu + C
au du
=
1 ln a
au
+
C
cos udu = sin u + C
sin udu = - cos u + C
tan udu = - ln | cos u | +C
cot udu = ln | sin u | +C
sec udu = ln | sec u + tan u | +C
csc udu = - ln | csc u + cot u | +C
du
1
|u|
u u2 - a2 = a arc sec a + C
du
u
a2 - u2 = arcsin a + C
du 1
u
a2 + u2 = a arctan a + C
Integration by Parts
udv = uv - vdu
Arc Length
For a function, f(x)
b
L = 1 + [ f '(x)]2 dx
a
For a polar graph, r()
2
L = [r()]2 + [r '()]2 d
1
Lagrange Error Bound
If Pn(x) is the nth degree Taylor polynomial of f(x) about c, then
max f (n+1) (z)
f (x) - Pn(x)
( n +1) !
n+1
x-c
for all z between x and c.
Distance, velocity and Acceleration
Velocity = d ( position)
dt
Acceleration = d (velocity )
dt dx dy
Velocity Vector = , dt dt
Speed = |v(t)| = ( x ')2 + ( y ')2 .
Distance Traveled =
final
final
time
time
v(t) dt = ( x ')2 + ( y ')2 dt
initial time
initial time
b
x(b) = x(a) + x '(t)dt
a
b
y(b) = y(a) + y '(t)dt
a
Polar Curves
For a polar curve r(), the
2
[ ] Area inside a "leaf" is
1 2
r() 2 d
1
where 1 and 2 are the "first" two
times that r = 0.
The slope of r() at a given is
[ ] dy
=
dy d
=
d d
r() sin
[ ] dx
dx d
d d
r() cos
Ratio Test
(use for interval of convergence)
The series an converges if
n=0
lim an+1 < 1 a n
n
CHECK ENDPOINTS
Alternating Series Error Bound
If SN =
N (-1)n
n =1
an
is
the
Nth
partial sum of a convergent
alternating series, then
S - SN aN +1
Volume
Solids of Revolution
b
Disk Method: V = [ R(x)]2 dx
a
Washer Method:
b
( ) V = [R(x)]2 - [r(x)]2 dx
a
b
Shell Method: V = 2 r(x)h(x)dx
a
Volume of Known Cross Sections
Perpendicular to
x-axis:
b
V = A(x)dx
a
y-axis:
d
V = A( y)dy
c
Taylor Series
If the function f is "smooth"at x = c, then it can be approximated by the nth degree polynomial f (x) f (c) + f '(c)(x - c)
+ f "(c) (x - c)2 + ... 2!
+ f '''(c) (x - c)3 + ... 3!
+ f (n) (c) (x - c)n n!
Elementary Functions
Centered at x = 0
ex = 1 + x + x2 + x3 + ... 2! 3!
x2 x4 x6 cos x = 1 - + - + ...
2! 4! 6! x3 x5 x7 sin x = x - + - + ... 3! 5! 7! 1 = 1 + x + x2 + x3 + ... 1- x
x2 x3 x4 ln(x + 1) = x - + - + ...
234
Most Common Series
1
(-1)n
diverges
converges
A(r)n converges to
A
if |r| ................
................
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