Advanced Calculus (I)
WEN-CHINGLIEN
Department of Mathematics National Cheng Kung University
6.1 Introduction
Definition Let S =
∞
P
k =1
ak be an infinite series whose terms ak belong toR
(i)
The partial sums of S of order n are the numbers defined, for each n ∈N, by
Sn :=
n
Xak.
6.1 Introduction
Definition Let S =
∞
P
k =1
ak be an infinite series whose terms ak belong toR
(i)
The partial sums of S of order n are the numbers defined, for each n ∈N, by
Sn :=
n
Xak.
6.1 Introduction
Definition Let S =
∞
P
k =1
ak be an infinite series whose terms ak belong toR
(i)
The partial sums of S of order n are the numbers defined, for each n ∈N, by
Sn :=
n
Xak.
6.1 Introduction
Definition Let S =
∞
P
k =1
ak be an infinite series whose terms ak belong toR
(i)
The partial sums of S of order n are the numbers defined, for each n ∈N, by
Sn :=
n
Xak.
Definition (ii)
S is said to converge if and only if its sequence of partial sums {sn} converges to some s ∈ R as n → ∞; i.e., for every > 0 there is an N ∈N such that n ≥ N implies that
|sn− s| < . In this case we shall write
∞
X
k =1
ak =s
and called s the sum, or value, of the seriesP∞
a
Definition (ii)
S is said to converge if and only if its sequence of partial sums {sn} converges to some s ∈ R as n → ∞; i.e., for every > 0 there is an N ∈N such that n ≥ N implies that
|sn− s| < . In this case we shall write
∞
X
k =1
ak =s
and called s the sum, or value, of the seriesP∞
a
Definition (ii)
S is said to converge if and only if its sequence of partial sums {sn} converges to some s ∈ R as n → ∞; i.e., for every > 0 there is an N ∈N such that n ≥ N implies that
|sn− s| < . In this case we shall write
∞
X
k =1
ak =s
and called s the sum, or value, of the seriesP∞
a
Definition (iii)
S is said to diverge if and only if its sequence of partial sums {sn} does not converge as n → ∞. When sn diverges to +∞ as n → ∞, we shall also write
∞
X
k =1
ak = ∞.
Definition (iii)
S is said to diverge if and only if its sequence of partial sums {sn} does not converge as n → ∞. When sn diverges to +∞ as n → ∞, we shall also write
∞
X
k =1
ak = ∞.
Definition (iii)
S is said to diverge if and only if its sequence of partial sums {sn} does not converge as n → ∞. When sn diverges to +∞ as n → ∞, we shall also write
∞
X
k =1
ak = ∞.
Example:
[Harmonic Series]Prove that the sequence 1
k converges but the series
∞
P
k =1
1 k diverges to +∞.
Example:
[Harmonic Series]Prove that the sequence 1
k converges but the series
∞
P
k =1
1 k diverges to +∞.
Proof:
The sequence 1/k converges to zero (by Example 2.2).
On the other hand, by the Comparison Theorem for Integrals,
n
X
k =1
1 k ≥
n
X
k =1
Z k +1 k
1 xdx =
Z n+1 1
1
xdx = log(n + 1).
We conclude that sn → ∞ as n → ∞. 2
Proof:
The sequence 1/k converges to zero (by Example 2.2).
On the other hand, by the Comparison Theorem for Integrals,
n
X
k =1
1 k ≥
n
X
k =1
Z k +1 k
1 xdx =
Z n+1 1
1
xdx = log(n + 1).
We conclude that sn → ∞ as n → ∞. 2
Proof:
The sequence 1/k converges to zero (by Example 2.2).
On the other hand, by the Comparison Theorem for Integrals,
n
X
k =1
1 k ≥
n
X
k =1
Z k +1 k
1 xdx =
Z n+1 1
1
xdx = log(n + 1).
We conclude that sn → ∞ as n → ∞. 2
Proof:
The sequence 1/k converges to zero (by Example 2.2).
On the other hand, by the Comparison Theorem for Integrals,
n
X
k =1
1 k ≥
n
X
k =1
Z k +1 k
1 xdx =
Z n+1 1
1
xdx = log(n + 1).
We conclude that sn → ∞ as n → ∞. 2
Proof:
The sequence 1/k converges to zero (by Example 2.2).
On the other hand, by the Comparison Theorem for Integrals,
n
X
k =1
1 k ≥
n
X
k =1
Z k +1 k
1 xdx =
Z n+1 1
1
xdx = log(n + 1).
We conclude that sn → ∞ as n → ∞. 2
Theorem (Divergence Test)
Let {ak}k ∈Nbe a sequence of real numbers. If ak does not converge to zero, then the series
∞
P
k =1
ak diverges.
Theorem (Divergence Test)
Let {ak}k ∈Nbe a sequence of real numbers. If ak does not converge to zero, then the series
∞
P
k =1
ak diverges.
Proof:
Suppose to the contrary that
∞
P
k =1
ak converges to some s ∈R. By definition,the sequence of partial sums sn :=
n
P
k =1
ak converges to s as n → ∞. Therefore,
ak =sk − sk −1→ s − s = 0 as k → ∞, a contradiction. 2
Proof:
Suppose to the contrary that
∞
P
k =1
ak converges to some s ∈R. By definition, the sequence of partial sums sn :=
n
P
k =1
ak converges to s as n → ∞. Therefore,
ak =sk − sk −1→ s − s = 0 as k → ∞, a contradiction. 2
Proof:
Suppose to the contrary that
∞
P
k =1
ak converges to some s ∈R. By definition,the sequence of partial sums sn :=
n
P
k =1
ak converges to s as n → ∞. Therefore,
ak =sk − sk −1→ s − s = 0 as k → ∞, a contradiction. 2
Proof:
Suppose to the contrary that
∞
P
k =1
ak converges to some s ∈R. By definition, the sequence of partial sums sn :=
n
P
k =1
ak converges to s as n → ∞. Therefore,
ak =sk − sk −1→ s − s = 0 as k → ∞,a contradiction. 2
Proof:
Suppose to the contrary that
∞
P
k =1
ak converges to some s ∈R. By definition, the sequence of partial sums sn :=
n
P
k =1
ak converges to s as n → ∞. Therefore,
ak =sk − sk −1→ s − s = 0 as k → ∞, a contradiction. 2
Proof:
Suppose to the contrary that
∞
P
k =1
ak converges to some s ∈R. By definition, the sequence of partial sums sn :=
n
P
k =1
ak converges to s as n → ∞. Therefore,
ak =sk − sk −1→ s − s = 0 as k → ∞,a contradiction. 2
Proof:
Suppose to the contrary that
∞
P
k =1
ak converges to some s ∈R. By definition, the sequence of partial sums sn :=
n
P
k =1
ak converges to s as n → ∞. Therefore,
ak =sk − sk −1→ s − s = 0 as k → ∞, a contradiction. 2
Theorem (Telescopic Test)
If {ak} is a convergent real sequence, then
∞
X
k =1
(ak − ak +1) =a1− lim
k →∞ak.
Theorem (Telescopic Test)
If {ak} is a convergent real sequence, then
∞
X
k =1
(ak − ak +1) =a1− lim
k →∞ak.
Proof:
By telescoping, we have
sn:=
n
X
k =1
(ak− ak +1) =a1− an+1.
Hence sn → a1− lim
k →∞ak as n → ∞.2
Proof:
By telescoping,we have
sn:=
n
X
k =1
(ak− ak +1) =a1− an+1.
Hence sn → a1− lim
k →∞ak as n → ∞.2
Proof:
By telescoping, we have
sn:=
n
X
k =1
(ak− ak +1) =a1− an+1.
Hence sn → a1− lim
k →∞ak as n → ∞.2
Proof:
By telescoping, we have
sn:=
n
X
k =1
(ak− ak +1) =a1− an+1.
Hence sn → a1− lim
k →∞ak as n → ∞.2
Theorem (Geometric Series) The series
∞
P
k =1
xk converges if and only if |x | < 1, in which
case ∞
X
k =1
xk = x 1 − x. (see also Exercise 1.)
Theorem (Geometric Series) The series
∞
P
k =1
xk converges if and only if |x | < 1, in which
case ∞
X
k =1
xk = x 1 − x. (see also Exercise 1.)
Proof:
If |x | ≥ 1, then
∞
P
k =1
xk diverges by the Divergence Test. If
|x| < 1, then set sn =
n
P
k =1
xk and observe by the telescoping that
(1 − x )Sn = (1 − x )(x + x2+ · · · +xn)
=x + x2+ · · · +xn− x2− x3− · · · − xn+1
=x − xn+1.
Proof:
If |x | ≥ 1,then
∞
P
k =1
xk diverges by the Divergence Test. If
|x| < 1,then set sn =
n
P
k =1
xk and observe by the telescoping that
(1 − x )Sn = (1 − x )(x + x2+ · · · +xn)
=x + x2+ · · · +xn− x2− x3− · · · − xn+1
=x − xn+1.
Proof:
If |x | ≥ 1, then
∞
P
k =1
xk diverges by the Divergence Test. If
|x| < 1, then set sn =
n
P
k =1
xk and observe by the telescoping that
(1 − x )Sn = (1 − x )(x + x2+ · · · +xn)
=x + x2+ · · · +xn− x2− x3− · · · − xn+1
=x − xn+1.
Proof:
If |x | ≥ 1, then
∞
P
k =1
xk diverges by the Divergence Test. If
|x| < 1,then set sn =
n
P
k =1
xk and observe by the telescoping that
(1 − x )Sn = (1 − x )(x + x2+ · · · +xn)
=x + x2+ · · · +xn− x2− x3− · · · − xn+1
=x − xn+1.
Proof:
If |x | ≥ 1, then
∞
P
k =1
xk diverges by the Divergence Test. If
|x| < 1, then set sn =
n
P
k =1
xk and observe by the telescoping that
(1 − x )Sn = (1 − x )(x + x2+ · · · +xn)
=x + x2+ · · · +xn− x2− x3− · · · − xn+1
=x − xn+1.
Proof:
If |x | ≥ 1, then
∞
P
k =1
xk diverges by the Divergence Test. If
|x| < 1, then set sn =
n
P
k =1
xk and observe by the telescoping that
(1 − x )Sn = (1 − x )(x + x2+ · · · +xn)
=x + x2+ · · · +xn− x2− x3− · · · − xn+1
=x − xn+1.
Proof:
If |x | ≥ 1, then
∞
P
k =1
xk diverges by the Divergence Test. If
|x| < 1, then set sn =
n
P
k =1
xk and observe by the telescoping that
(1 − x )Sn = (1 − x )(x + x2+ · · · +xn)
=x + x2+ · · · +xn− x2− x3− · · · − xn+1
=x − xn+1.
Proof:
If |x | ≥ 1, then
∞
P
k =1
xk diverges by the Divergence Test. If
|x| < 1, then set sn =
n
P
k =1
xk and observe by the telescoping that
(1 − x )Sn = (1 − x )(x + x2+ · · · +xn)
=x + x2+ · · · +xn− x2− x3− · · · − xn+1
=x − xn+1.
Proof:
If |x | ≥ 1, then
∞
P
k =1
xk diverges by the Divergence Test. If
|x| < 1, then set sn =
n
P
k =1
xk and observe by the telescoping that
(1 − x )Sn = (1 − x )(x + x2+ · · · +xn)
=x + x2+ · · · +xn− x2− x3− · · · − xn+1
=x − xn+1.
Hence,
sn= x
1 − x − xn+1 1 − x
for all n ∈N. Since xn+1 → 0 as n → ∞ for all |x| < 1 (see Example 2.20), we conclude that sn → x
(1 − x ) as n → ∞.
2
Hence,
sn= x
1 − x − xn+1 1 − x
for all n ∈N. Since xn+1 → 0 as n → ∞ for all |x| < 1 (see Example 2.20),we conclude that sn → x
(1 − x ) as n → ∞.
2
Hence,
sn= x
1 − x − xn+1 1 − x
for all n ∈N. Since xn+1 → 0 as n → ∞ for all |x| < 1 (see Example 2.20), we conclude that sn → x
(1 − x ) as n → ∞.
2
Hence,
sn= x
1 − x − xn+1 1 − x
for all n ∈N. Since xn+1 → 0 as n → ∞ for all |x| < 1 (see Example 2.20),we conclude that sn → x
(1 − x ) as n → ∞.
2
Hence,
sn= x
1 − x − xn+1 1 − x
for all n ∈N. Since xn+1 → 0 as n → ∞ for all |x| < 1 (see Example 2.20), we conclude that sn → x
(1 − x ) as n → ∞.
2
Theorem (Cauchy Criterion)
Let {ak} be a real sequence. Then the infinite series
∞
P
k =1
ak converges if and only if for every > 0 there is an N ∈N such that
m > n ≥ N imply
m
X
k =n
ak
< .
Theorem (Cauchy Criterion)
Let {ak} be a real sequence. Then the infinite series
∞
P
k =1
ak converges if and only if for every > 0 there is an N ∈N such that
m > n ≥ N imply
m
X
k =n
ak
< .
Proof:
Let sn represent the sequence of partial sums of
∞
P
k =1
ak
and set s0 =0. By Cauchy’s Theorem (Theorem 2.29),sn
converges if and only if given > 0 there is an N ∈N such that m, n ≥ N imply |sm− sn−1| < . Since
sm− sn−1 =
m
X
k =n
ak
for all integers m > n ≥ 1, the proof is complete. 2
Proof:
Let sn represent the sequence of partial sums of
∞
P
k =1
ak
and set s0 =0. By Cauchy’s Theorem (Theorem 2.29), sn
converges if and only if given > 0there is an N ∈N such that m, n ≥ N imply |sm− sn−1| < . Since
sm− sn−1 =
m
X
k =n
ak
for all integers m > n ≥ 1, the proof is complete. 2
Proof:
Let sn represent the sequence of partial sums of
∞
P
k =1
ak
and set s0 =0. By Cauchy’s Theorem (Theorem 2.29),sn
converges if and only if given > 0 there is an N ∈N such that m, n ≥ N imply |sm− sn−1| < . Since
sm− sn−1 =
m
X
k =n
ak
for all integers m > n ≥ 1, the proof is complete. 2
Proof:
Let sn represent the sequence of partial sums of
∞
P
k =1
ak
and set s0 =0. By Cauchy’s Theorem (Theorem 2.29), sn
converges if and only if given > 0there is an N ∈N such that m, n ≥ N imply |sm− sn−1| < . Since
sm− sn−1 =
m
X
k =n
ak
for all integers m > n ≥ 1,the proof is complete. 2
Proof:
Let sn represent the sequence of partial sums of
∞
P
k =1
ak
and set s0 =0. By Cauchy’s Theorem (Theorem 2.29), sn
converges if and only if given > 0 there is an N ∈N such that m, n ≥ N imply |sm− sn−1| < . Since
sm− sn−1 =
m
X
k =n
ak
for all integers m > n ≥ 1, the proof is complete. 2
Proof:
Let sn represent the sequence of partial sums of
∞
P
k =1
ak
and set s0 =0. By Cauchy’s Theorem (Theorem 2.29), sn
converges if and only if given > 0 there is an N ∈N such that m, n ≥ N imply |sm− sn−1| < . Since
sm− sn−1 =
m
X
k =n
ak
for all integers m > n ≥ 1,the proof is complete. 2
Proof:
Let sn represent the sequence of partial sums of
∞
P
k =1
ak
and set s0 =0. By Cauchy’s Theorem (Theorem 2.29), sn
converges if and only if given > 0 there is an N ∈N such that m, n ≥ N imply |sm− sn−1| < . Since
sm− sn−1 =
m
X
k =n
ak
for all integers m > n ≥ 1, the proof is complete. 2
Theorem
Let {ak} and {bk} be real sequences. If
∞
P
k =1
ak and
∞
P
k =1
bk
are convergent series, then
∞
X
k =1
(ak +bk) =
∞
X
k =1
ak +
∞
X
k =1
bk
and ∞
X
k =1
(αak) = α
∞
X
k =1
ak
Theorem
Let {ak} and {bk} be real sequences. If
∞
P
k =1
ak and
∞
P
k =1
bk
are convergent series, then
∞
X
k =1
(ak +bk) =
∞
X
k =1
ak +
∞
X
k =1
bk
and ∞
X
k =1
(αak) = α
∞
X
k =1
ak
Theorem
Let {ak} and {bk} be real sequences. If
∞
P
k =1
ak and
∞
P
k =1
bk
are convergent series, then
∞
X
k =1
(ak +bk) =
∞
X
k =1
ak +
∞
X
k =1
bk
and ∞
X
k =1
(αak) = α
∞
X
k =1
ak
Exmple:
(1)
∞
P
k =1
1 k (k + 1)
(2)
∞
P
k =1
1 − 1
k
k
Exmple:
(1)
∞
P
k =1
1 k (k + 1)
(2)
∞
P
k =1
1 − 1
k
k
Exmple:
(1)
∞
P
k =1
1 k (k + 1)
(2)
∞
P
k =1
1 − 1
k
k