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Este documento contiene conceptos básicos sobre límites y derivadas de funciones matemáticas. Se incluyen reglas para calcular límites, conceptos de derivadas, y ejemplos para ilustrar el uso de las reglas. Además, se presentan conceptos relacionados como la regla de l'hopital y el método de riemann para integrales definidas.
Tipo: Ejercicios
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exam
this!!!
Sing
in exam!!
e Ne10.
e Yo 98 ↓E 1 so inging the la 30 0,M (
1,0) 210 330 (1,0) I 1177 (
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ees So e
zuc 1- , 2708 (
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Unit1:
Limits
LIMIT
PROPERTIES
Occustnt
rule
2 Identity
Rule: Coefficient
Rule.
limn
=
u
I=
(im[bof(x]
=b.
liMf(x)
x
x
⑪
motuctrule:
X
6
x
/im
(f(x). 9(X)]
=
lim
f(x)
·
(i,
a
X-
>
( x- C
⑤ Quotient
Due:
xi(x)
=
liM
g(t)
FO
/im
G(x)
i
X- C
⑥
pover
Rule:
x
C
⑦
composite
Rule:
/im
[f(x)
=
(life)
im
f(gcx)_
f((img(t)
X
n x
x
x
C
I experent
rule: x =In
limits
W/Y
SO
lig
big
bigur=0,
Srale=0,
gt=
y,
all--
Discontinuities
②
nole ③
Infinite
① JUMP
·
wen
lim f(x)
· CANNOT we
·
2
different
liMil ·
can
he remues
remued
from (t)
& (-) when he elation. At least
as
· CANNOT
be
rende is
fuctured size limit
DNE
to
0
emer-
u
key:
continuous
if f(x)
=
limfCH
X-x
·
buth sizes
must
be
eal
(t) a
C-
Icukes
a saves
a
63
=
(a
x)(a
a
=
(a
b)(a
b)
a
63
=
(a
ab
+b2)
92
62
= (a
x)(a
x)
properties
sinx
lim-=
1
SIN
lim
P
= 0
CQS
X
/im
Fux
=
1 lim
0
X
vertical asumies
lascites
· the sizes limits atV.A
Small
-o =
y
approach
y,
D
very
lig
Small
f(x)
=
x
2
-x
weig faster
x
7
-->
Stuer
=
NO
H.A
X
V.A X =
7
lig
42
5x
in
the
H.
A
y
=
3
ems
Oscleeze
iovem:
2
Intermediate
race never
If f(x)
(q(X)
(h(x) (IVT):
Men,
$ ·If
a
function
is itines
/im h(x)
=
2 S
der a
clues
interval,
new
he
im
G(N)=
L
Factin
mustpass
tech
· De sNch
in Gemen
every
x a
y
rule
between
will
be he
she as
He initial
XsY
as he
he
over I
if
my
final
x
sy
values
hue
the
she
lim
at
mat
point.
I
velocity,
acceration...
· G(t)
=
displacement
·d(t)
=
v(t)
·vCH)
=
a(t)
A
speeding
up
->
sal
sic
USIA
A
slowing
tam
-> apposite
sans
USA
· if
VCH) 0
->
RIGHT,
UCHC
-> left
·IF rct)
=
0,
Stup chances
direct
· If act) (0-V
is increasing, act)
c0->
V is
recensing
· IfacH
= 0
->
V
is consent
A
difrentiability
DS
imply
IDifferentialeility continuity
·
at
cusps or covers
he serivate might
not
exist,
so
he
function
is not dirential.
3 V.
A
men discontinues
herivates of equentials
a lous
f(ex)
=
ex
flugax)
= aox
f
(ax)
=
a* olna
f((nx)
=x
rems
· Extere Vale
inem: If
Mech
rue
recen (Evil:
If
continues of a
clues
He fuction is on
a
clues
interval,
he suction interal, continues,
ans
*I
nue
an
absolve differentiable
here is sue
Minimum
a
absolute
Its
race
in he interal
maxin
he interval. at while he
instuturucy
·Ethere
roles:
mee f(x)
=
0 ar rate
of chance
is
equal to
Umb
or
he enjoints
he
cry.
Cunce
of
ray.
f(x)
=
(f(u)
6
Wit 3:
ORrotct
Due:
f(x).q(X)
f(x)g(x)
i
hitin e
immic
rus
64
· Jxe=e
(x)
=
of(lugax)
=
max
terrace
of x
Alne*
=
1
· f(x)
=
axolna.serivative
ofX
EX.
1093
(x2)
=
ins2x
5
=
1n5.
62x
3
= 62x
In 6
2
Implicit
direntiation
is
Meet
to
get
all he
y'
in one
& f(x)
=
1 f((4) =y sizes
he rest on he over a
fivise.
Mit
4:
Economy
review
· cost
functiv->((X=total cost
of
producing X-mils
·
Arg
cost
fencin-
[(x1=
·
necome function
=
rutal
recence
received
on
he sale
Of X-mil
·
Marginal
cust=
((X) Produce 1 mue
item
derivative of
((x+1)
costfunctio
· MAX
PROFITS
I
getmust
fucin M(X)=R(x)-(CH)
②
n (x)
=
R'(x)-CCH
('(X)
=
hi(x)
③
n'(x1-((x)
=
0
⑪ Ge+
X!!
⑤
To get
$S:
plug-in
xinto
i(x),
normal
NO
serivate
Infinity
limits
smalle-y
x=-
D 3
small
Krue
curve
smuler=
y
line
motion:
· velocity & acceleration:
-> save sian:Objectspeeding up
-> opposite
siam:object skwing sun.
·
Particle chances
direction when VCH = 0
·
acceleration
(I):
Velocity
increasing
·
acceleration :rerucity
recreasing
Mutt/sel
e
ft
viCt) S'Ct
· averace velocim:AD1+(yet area
under craph)
fHs
·
amacceleration:
IHOC?
Internetutius
men
he
thing
is at
Ives,
itwill
(
(75)
=
0,
tune x-vaue for
he
thing
to
increase
by
1
more
context.
Inevization
Eurer->lefrect
arox(
· If
concue
up: unterestimate f(x)
=
((x)
=
M(x
x,)
y
f
"(N>
· Ifcance bun:
derestimatio
mer
f"(X)(8 similar trinces
irecated Rules
LampOSt:
Trwah:
20
I
=E
(Total
leases
=
53
Cheicht
Of
SIPS:
-mini
trinques
①
Determin. I,l,
k
TCy
=
1x
M
23
4
nu
②
If necessary,
chert
204
=
2x
I
mil. 53
③ Fins
ecuation a
2
Missing
elements
(sim. As
y
=
Earative!
⑭
plug-in
races
a come
cylinder:
fuctur
I
=
r(qilen)
⑤ Find
Serirune
ucgiens
Fins / in
terms Of
mili
Area->ft/ses
n
volure- Ite/ses
heint/man->fH/sec
radius
->It/sec
L'hospital
Role:
A
COS
(0)
=
1
sin
(0)=
0
EXAMPLE:
lim
+x)
=
B
X
I
*is
ideterminate
I
o
Plythusitem
exe.
+1)
beenre
I
Appy
hospital
=
3
im
e-again
the
e
Quiz:
①
f(x)
=
3 x
2e
3x/2.
f(x)
=
3
be
g((x)
= 4
4
3
be
3x
lim-male
since
to
x
i
I
②Yet_init-
wis
indeterminate
liM
to
o
tet-
te=
=
&
mech value
teorem :If f
is conting on
he
Closes
interal (a,b) and
sidentiable
here
exits
a nveler
is
such much:
f((c)
=
f(x)
6-
4
Molle's
Neuvem:
If I
is continues out
sitentiale
on
he
interval
(a,e)
here exists
at leastare number
were
fi(l)
=
f(x)
=
f(b)
my
if
.......
· relative or
local extrema:
y-races
on
he
gru
where
he function chances from
increasing
to
secensing
8 vice-versa.
·Alsolue Exrema:
The
kinestor last
y-rac
on
he crap
of
a function or
on
a specific
semain
ofa
function.
Exhere
race never:If I
is continues on
a
Cases
interal,
new
I has both a max
valed
a
min race
on
he interval [a,b].
·
critical
races: on
x-val in
he some off such hat eiler
f()
=
0
a
f(CC)
DNE.
I fuctor equation, get
X-values
Endpoint
a13G
k
Use
constitutes test
t
find
max
8
Min.
optimization
·use ist derivative
test
to
find
Maximize
or
minimize.
Use to justiny.
mit
hieren Sums
al
·
lefthand:
all races exect
he
cast
(0-(n-1)
ja · Richt
hunt:all races except
he first
(1-n)
8
mis
point:create
interals,
use
as a he
misre
rall
·
Travezoid
Sun:trunzis
Fermuln:
Elle,+bz)h,
leut ....
creat
he arrane
of
richt
a left
A
IS
summation
Notation
1x
=
=>
Witt
Unver
limit
Stuna
Pant
sum
E Xnexressin
Xu
=
a
1x an
3
insets
u
=
1
Iver
limit
1Xef(Xn)=)
Find a
sumam string
printhe
arecruace,
we
f(x)
is
he revent
Areu
=
SYX)6X=
y
,
(f(x).x]
Xu
=
a
1X.
1x
=
6
A
A
=
a
+sn=
1
E
Fatima Michel
b.
1x=
=
a
↑ ↑
565
1x
=
1
2
hi(*)
(2n+
i
(H(
=
1(
3
6
LHC1= 18
yaxu
=
a
xXn
6
a
=
1
a
=
1 6
=
1
b
=
2 b
=
2
00 xu
=
a
xnnn
(
Mp
=
3(7)
4(5)
4(b)
W
=
21
20
Si-xx
up
=
15
a
Es
3 A
=
I(z)(2)
2
·
) =
·use critical
⑧
numbers
27
①
Max,
min
2
=
z(2)(2)
=
2
P.
I:
F"(X)
=
f(X)
X
=
3,X
=
2
so nee
it
chuces
from
inceasing
in
serana.
increasing:
were
f(x)>C,
FCX)
is
f(x)>
I
increasing,
here fue:
secensing:
(
5,
-3)U(
3,2)
f(x)
cucce
uP:
->
F(X)
=
f(x)
·S3-
f((X)
so wer
candidates
test
f(X)>
f
=
3
=
3
shall san:
X
5
324
F"(x)
=
f(t)
F(X)
-9Y-
3
1 ·S
=
3
so wel
f(X)CO
min:
at
x=-5,
-S
13
z
=
1
MUX:
a
x
=
1,
3