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Shantilal Shah Engineering College, Bhavnagar.
Mechanical Engineering
Department
Sequences
A sequence can be thought as a list of numbers
written in a definite order
 ,,,,,, 4321 naaaaa
{ }na
Examples
( ) ( ) ( ) ( )
{ } 


,3,,3,2,1,03
,
3
11
,,
27
4
,
9
3
,
3
2
3
11
,
1
,,
4
3
,
3
2
,
2
1
1
3 −=−
+−
−−=





 +−
+
=






+
∞
= nn
nn
n
n
n
n
n
n
n
n
n
Limit of a sequence (Definition)
A sequence has the limit if for every
there is a corresponding integer N such that
We write
{ }na L
∞→→=
∞→
nasLaorLa nn
n
lim
0>ε
NnwheneverLan ><− ,ε
Convergence/Divergence
If exists we say that the sequence converges.
Note that for the sequence to converge, the limit must
be finite
If the sequence does not converge we will say that it
diverges
Note that a sequence diverges if it approaches to
infinity or if the sequence does not approach to
anything
n
n
a
∞→
lim
Divergence to infinity
 means that for every positive number M
there is an integer N such that
 means that for every positive number M
there is an integer N such that
∞=
∞→
n
n
alim
NnwheneverMan >> ,
−∞=
∞→
n
n
alim
NnwheneverMan >−< ,
The limit laws
If and are convergent sequences and c is a
constant, then
{ }na { }nb
( )
( ) ccacac
baba
n
n
n
n
n
n
n
n
n
nn
n
=⋅=⋅
±=±
∞→∞→∞→
∞→∞→∞→
lim,limlim
limlimlim
The limit laws
( ) ( ) ( )
( ) ( ) 00,limlim
0lim,
lim
lim
lim
limlimlim
>>=
≠=





⋅=⋅
∞→∞→
∞→
∞→
∞→
∞→
∞→∞→∞→
n
p
n
n
p
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
nn
n
aandpifaa
bif
b
a
b
a
baba
Infinite Series
Is the summation of all elements in a sequence.
Remember the difference: Sequence is a collection of
numbers, a Series is its summation.
 +++++=∑
∞
=
n
n
n aaaaa 321
1
Visual proof of convergence
It seems difficult to understand how it is possible that
a sum of infinite numbers could be finite. Let’s see an
example


++++++=
++++++=
∑
∑
∞
=
∞
=
n
n
n
n
n
n
2
1
16
1
8
1
4
1
2
1
2
1
2
1
2
1
2
1
2
1
2
1
2
1
1
432
1
Convergence/Divergence
We say that an infinite series converges if the sum is
finite, otherwise we will say that it diverges.
To define properly the concepts of convergence and
divergence, we need to introduce the concept of
partial sum
N
N
n
nN aaaaaS ++++== ∑=
321
1
Convergence/Divergence
The partial sum is the finite sum of the first
terms.
 converges to if and we write:
If the sequence of partial sums diverges, we say that
diverges.
th
N NS
∑
∞
=1n
na S SSN
N
=
∞→
lim
∑
∞
=
=
1n
naS
∑
∞
=1n
na
Laws of Series
If and both converge, then
Note that the laws do not apply to multiplication,
division nor exponentiation.
∑
∞
=1n
na
∑
∞
=1n
nb
( )
∑∑
∑∑∑
∞
=
∞
=
∞
=
∞
=
∞
=
⋅=⋅
±=±
11
111
n
n
n
n
n
nn
n
n
n
n
acac
baba
Divergence Test
If does not converge to zero, then
diverges.
Note that in many cases we will have sequences that
converge to zero but its sum diverges
{ }na ∑
∞
=1n
na
( ) ∑∑∑∑∑
∞
=
∞
=
∞
=
∞
=
∞
=
−
11
2
111
sin
111
1
nnnnn
n
n
nnn
Proof Divergence Test
If , then
( ) 1
1
1321
1321
−
−
−
−
−=⇒





+=
+++++=
+++++=
nnn
nnn
nnn
nnn
SSa
aSS
aaaaaS
aaaaaS


∑
∞
=
=
1n
n Sa
Geometric Series
+⋅+⋅+⋅+⋅+=⋅∑
∞
=
432
0
rcrcrcrccrc
n
n
Note that in this case we start counting from
zero. Technically it doesn’t matter, but we
have to be careful because the formula we
will use starts always at n=0.
First term
multiplied by r
Second term
multiplied by r
Third term
multiplied by r
Geometric Series
If we multiply both sides by r we get
If we subtract (2) from (1), we get
)1(32
0
N
N
N
n
n
N
rcrcrcrccS
rcS
⋅++⋅+⋅+⋅+=
⋅= ∑=

)2(1432 +
⋅++⋅+⋅+⋅+⋅=⋅ N
N rcrcrcrcrcSr 
( ) ( )
( )
r
rc
S
rcrS
rccSrS N
NN
N
N
NN
−
−
=⇒




−=−
⋅−=⋅− +
+
+
1
1
11
1
1
1
Geometric Series
An infinite GS diverges if , otherwise1≥r
1,
1
1
1,
1
1,
10
<
−
=⋅
<
−
⋅
=⋅
<
−
=⋅
∑
∑
∑
∞
=
∞
=
∞
=
r
r
term
rc
r
r
rc
rc
r
r
c
rc
st
Mn
n
M
Mn
n
n
n
Examples
( ) ( ) ( )
( )
∑∑
∑∑∑
∑∑∑∑
∞
=
∞
=
∞
=
∞
=
−
∞
=
∞
=
∞
=
−
∞
=
∞
=






+
+





 −






−⋅
10
11
1
1
2000
52
ln
6
23
26.0
5
1
3
1
2113
nn
n
nn
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
P-Series
A p-series is a series of the form
Convergence of p-series:
++++=∑
∞
=
ppp
n
p
n 4
1
3
1
2
1
1
11
1



≤
>
=∑
∞
= 1
11
1 pforDiverges
pforConverges
nn
p
Examples
( )
∑∑∑∑∑∑
∑∑∑∑∑∑
∑∑∑
∑∑∑∑
∞
=
−
∞
=
∞
=
−∞
=
∞
=
−
∞
=
−
∞
=
∞
=
∞
=
∞
=
∞
=
−
∞
=
∞
=
∞
=
−
−∞
=
+
∞
=
∞
=
∞
=
∞
=






+
−
+
111
1
1
1
11
5
1
1
5
1
11
5
1
5
1
5
1
5
1
53
1
1
1
1
1
1
2
2
1
001.0
11
2
5
1
5
1
555
5
1
11
5
6
3
45ln
11
n
n
n
n
n
n
n
n
n
n
n
nn
n
nnnn
nn
n
n
n
n
n
nnnn
n
n
n
nnn
nn
n
n
n
n
nn
π
Comparison Test
Assume that there exists such that
for
1. If converges, then also converges.
2. If diverges, then also diverges.
 if diverges this test does not help
 Also, if converges this test does not help
0>M nn ba ≤≤0
Mn ≥
∑
∞
=1n
nb ∑
∞
=1n
na
∑
∞
=1n
na ∑
∞
=1n
nb
∑
∞
=1n
nb
∑
∞
=1n
na
Limit Comparison Test
Let and be positive sequences. Assume that
the following limit exists
If , then converges if and only if
converges. (Note that L can not be infinity)
If and converges, then converges
{ }na { }nb
n
n
n b
a
L
∞→
= lim
0>L ∑
∞
=1n
na
∑
∞
=1n
nb0=L ∑
∞
=1n
nb
∑
∞
=1n
na
Examples
( )
( )∑∑∑
∑∑∑
∑∑∑∑
∞
=
−
∞
=
∞
=
∞
=
∞
=
∞
=
−
∞
=
∞
=
∞
=
∞
=
−
+
−
+
−−
+
−−
111
1
3
2
11
3
1
1
2
1
4
2
11
2
4
ln
4
1
ln
4
1
1
4
1
3
1
2
n
n
nn
nnn
nnn
n
n
n
en
nn
n
n
n
nn
n
n
n
nnn
n
n
Absolute/Conditional Convergence
 is called absolutely convergent if
converges
 Absolute convergence theorem:
If convs. Also convs.
(In words) if convs. Abs. convs.
∑
∞
=1n
na ∑
∞
=1n
na
∑
∞
=1n
na ⇒∑
∞
=1n
na
∑
∞
=1n
na ⇒∑
∞
=1n
na
( )
∑∑
∞
=
∞
=
−






−
1
2
1
1
2
1
n
n
n
n
n
Ratio Test
Let be a sequence and assume that the following
limit exists:
If , then converges absolutely
 If , then diverges
If , the Ratio Test is INCONCLUSIVE
{ }na
n
n
n a
a 1
lim +
∞→
=ρ
1<ρ ∑
∞
=1n
na
1=ρ
1>ρ
∑
∞
=1n
na
( ) ∑∑∑∑∑
∞
=
−
∞
=
∞
=
∞
=
∞
=
−
1
2
1
2
11
2
1 100
!
1
2!
1
nnn
n
n
n
n
n
nn
nn
n
Examples
Root Test
Let be a sequence and assume that the following
limit exists:
If , then converges absolutely
 If , then diverges
If , the Ratio Test is INCONCLUSIVE
{ }na
n
n
n
aL
∞→
= lim
1<L ∑
∞
=1n
na
1=L
1>L ∑
∞
=1n
na
∑∑∑∑
∞
=
−
∞
=
∞
=
∞
=






+ 1
2
1
2
1
2
1 232 nnn
n
n
n
nn
n
n
n
Examples
Power Series
A power series is a series of the form:
( ) ( ) ( ) 

+−+−+=−
+++++=
∑
∑
∞
=
∞
=
2
21
0
0
2
21
0
0
axcaxccaxc
xcxcxccxc
n
n
n
n
n
n
n
n
Power Series
Theorem: For a given power series
there are 3 possibilities:
1. The series converges only when
2.The series converges for all
3. There is a positive number R, such that the series
converges if and diverges if
( )∑
∞
=
−
0n
n
n axc
ax =
x
Rax <− Rax >−
Taylor & Maclaurin Series
Let , then
therefore ,
,234)0(,23)0(,2)0(,)0(,)0( 4
)(
3210 afafafafaf IV
⋅⋅=⋅=′′′=′′=′=
+++++== ∑
∞
=
4
4
3
3
2
210
0
)( xaxaxaxaaxaxf n
n
n
n
n
nk
k x
n
f
xf
k
f
a ∑
∞
=
=⇒=
0
)()(
!
)0(
)(
!
)0(
2
2
cossin xxx
eexxxe
Examples
−
Infinite sequence and series

Contenu connexe

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Infinite sequence and series

  • 1. Shantilal Shah Engineering College, Bhavnagar. Mechanical Engineering Department
  • 2.
  • 3.
  • 4. Sequences A sequence can be thought as a list of numbers written in a definite order  ,,,,,, 4321 naaaaa { }na
  • 5. Examples ( ) ( ) ( ) ( ) { }    ,3,,3,2,1,03 , 3 11 ,, 27 4 , 9 3 , 3 2 3 11 , 1 ,, 4 3 , 3 2 , 2 1 1 3 −=− +− −−=       +− + =       + ∞ = nn nn n n n n n n n n n
  • 6. Limit of a sequence (Definition) A sequence has the limit if for every there is a corresponding integer N such that We write { }na L ∞→→= ∞→ nasLaorLa nn n lim 0>ε NnwheneverLan ><− ,ε
  • 7. Convergence/Divergence If exists we say that the sequence converges. Note that for the sequence to converge, the limit must be finite If the sequence does not converge we will say that it diverges Note that a sequence diverges if it approaches to infinity or if the sequence does not approach to anything n n a ∞→ lim
  • 8. Divergence to infinity  means that for every positive number M there is an integer N such that  means that for every positive number M there is an integer N such that ∞= ∞→ n n alim NnwheneverMan >> , −∞= ∞→ n n alim NnwheneverMan >−< ,
  • 9. The limit laws If and are convergent sequences and c is a constant, then { }na { }nb ( ) ( ) ccacac baba n n n n n n n n n nn n =⋅=⋅ ±=± ∞→∞→∞→ ∞→∞→∞→ lim,limlim limlimlim
  • 10. The limit laws ( ) ( ) ( ) ( ) ( ) 00,limlim 0lim, lim lim lim limlimlim >>= ≠=      ⋅=⋅ ∞→∞→ ∞→ ∞→ ∞→ ∞→ ∞→∞→∞→ n p n n p n n n n n n n n n n n n n n n nn n aandpifaa bif b a b a baba
  • 11. Infinite Series Is the summation of all elements in a sequence. Remember the difference: Sequence is a collection of numbers, a Series is its summation.  +++++=∑ ∞ = n n n aaaaa 321 1
  • 12. Visual proof of convergence It seems difficult to understand how it is possible that a sum of infinite numbers could be finite. Let’s see an example   ++++++= ++++++= ∑ ∑ ∞ = ∞ = n n n n n n 2 1 16 1 8 1 4 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 1 432 1
  • 13. Convergence/Divergence We say that an infinite series converges if the sum is finite, otherwise we will say that it diverges. To define properly the concepts of convergence and divergence, we need to introduce the concept of partial sum N N n nN aaaaaS ++++== ∑= 321 1
  • 14. Convergence/Divergence The partial sum is the finite sum of the first terms.  converges to if and we write: If the sequence of partial sums diverges, we say that diverges. th N NS ∑ ∞ =1n na S SSN N = ∞→ lim ∑ ∞ = = 1n naS ∑ ∞ =1n na
  • 15. Laws of Series If and both converge, then Note that the laws do not apply to multiplication, division nor exponentiation. ∑ ∞ =1n na ∑ ∞ =1n nb ( ) ∑∑ ∑∑∑ ∞ = ∞ = ∞ = ∞ = ∞ = ⋅=⋅ ±=± 11 111 n n n n n nn n n n n acac baba
  • 16. Divergence Test If does not converge to zero, then diverges. Note that in many cases we will have sequences that converge to zero but its sum diverges { }na ∑ ∞ =1n na ( ) ∑∑∑∑∑ ∞ = ∞ = ∞ = ∞ = ∞ = − 11 2 111 sin 111 1 nnnnn n n nnn
  • 17. Proof Divergence Test If , then ( ) 1 1 1321 1321 − − − − −=⇒      += +++++= +++++= nnn nnn nnn nnn SSa aSS aaaaaS aaaaaS   ∑ ∞ = = 1n n Sa
  • 18. Geometric Series +⋅+⋅+⋅+⋅+=⋅∑ ∞ = 432 0 rcrcrcrccrc n n Note that in this case we start counting from zero. Technically it doesn’t matter, but we have to be careful because the formula we will use starts always at n=0. First term multiplied by r Second term multiplied by r Third term multiplied by r
  • 19. Geometric Series If we multiply both sides by r we get If we subtract (2) from (1), we get )1(32 0 N N N n n N rcrcrcrccS rcS ⋅++⋅+⋅+⋅+= ⋅= ∑=  )2(1432 + ⋅++⋅+⋅+⋅+⋅=⋅ N N rcrcrcrcrcSr  ( ) ( ) ( ) r rc S rcrS rccSrS N NN N N NN − − =⇒     −=− ⋅−=⋅− + + + 1 1 11 1 1 1
  • 20. Geometric Series An infinite GS diverges if , otherwise1≥r 1, 1 1 1, 1 1, 10 < − =⋅ < − ⋅ =⋅ < − =⋅ ∑ ∑ ∑ ∞ = ∞ = ∞ = r r term rc r r rc rc r r c rc st Mn n M Mn n n n
  • 21. Examples ( ) ( ) ( ) ( ) ∑∑ ∑∑∑ ∑∑∑∑ ∞ = ∞ = ∞ = ∞ = − ∞ = ∞ = ∞ = − ∞ = ∞ =       + +       −       −⋅ 10 11 1 1 2000 52 ln 6 23 26.0 5 1 3 1 2113 nn n nn n n n n n n n n n n n n n n n n
  • 22. P-Series A p-series is a series of the form Convergence of p-series: ++++=∑ ∞ = ppp n p n 4 1 3 1 2 1 1 11 1    ≤ > =∑ ∞ = 1 11 1 pforDiverges pforConverges nn p
  • 24. Comparison Test Assume that there exists such that for 1. If converges, then also converges. 2. If diverges, then also diverges.  if diverges this test does not help  Also, if converges this test does not help 0>M nn ba ≤≤0 Mn ≥ ∑ ∞ =1n nb ∑ ∞ =1n na ∑ ∞ =1n na ∑ ∞ =1n nb ∑ ∞ =1n nb ∑ ∞ =1n na
  • 25. Limit Comparison Test Let and be positive sequences. Assume that the following limit exists If , then converges if and only if converges. (Note that L can not be infinity) If and converges, then converges { }na { }nb n n n b a L ∞→ = lim 0>L ∑ ∞ =1n na ∑ ∞ =1n nb0=L ∑ ∞ =1n nb ∑ ∞ =1n na
  • 27. Absolute/Conditional Convergence  is called absolutely convergent if converges  Absolute convergence theorem: If convs. Also convs. (In words) if convs. Abs. convs. ∑ ∞ =1n na ∑ ∞ =1n na ∑ ∞ =1n na ⇒∑ ∞ =1n na ∑ ∞ =1n na ⇒∑ ∞ =1n na ( ) ∑∑ ∞ = ∞ = −       − 1 2 1 1 2 1 n n n n n
  • 28. Ratio Test Let be a sequence and assume that the following limit exists: If , then converges absolutely  If , then diverges If , the Ratio Test is INCONCLUSIVE { }na n n n a a 1 lim + ∞→ =ρ 1<ρ ∑ ∞ =1n na 1=ρ 1>ρ ∑ ∞ =1n na ( ) ∑∑∑∑∑ ∞ = − ∞ = ∞ = ∞ = ∞ = − 1 2 1 2 11 2 1 100 ! 1 2! 1 nnn n n n n n nn nn n Examples
  • 29. Root Test Let be a sequence and assume that the following limit exists: If , then converges absolutely  If , then diverges If , the Ratio Test is INCONCLUSIVE { }na n n n aL ∞→ = lim 1<L ∑ ∞ =1n na 1=L 1>L ∑ ∞ =1n na ∑∑∑∑ ∞ = − ∞ = ∞ = ∞ =       + 1 2 1 2 1 2 1 232 nnn n n n nn n n n Examples
  • 30. Power Series A power series is a series of the form: ( ) ( ) ( )   +−+−+=− +++++= ∑ ∑ ∞ = ∞ = 2 21 0 0 2 21 0 0 axcaxccaxc xcxcxccxc n n n n n n n n
  • 31. Power Series Theorem: For a given power series there are 3 possibilities: 1. The series converges only when 2.The series converges for all 3. There is a positive number R, such that the series converges if and diverges if ( )∑ ∞ = − 0n n n axc ax = x Rax <− Rax >−
  • 32. Taylor & Maclaurin Series Let , then therefore , ,234)0(,23)0(,2)0(,)0(,)0( 4 )( 3210 afafafafaf IV ⋅⋅=⋅=′′′=′′=′= +++++== ∑ ∞ = 4 4 3 3 2 210 0 )( xaxaxaxaaxaxf n n n n n nk k x n f xf k f a ∑ ∞ = =⇒= 0 )()( ! )0( )( ! )0( 2 2 cossin xxx eexxxe Examples −