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Advanced Calculus (I)

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(1)

Advanced Calculus (I)

WEN-CHINGLIEN

Department of Mathematics National Cheng Kung University

(2)

6.2 Series with nonnegative terms

Theorem

Suppose that ak ≥ 0 for k ≥ N. Then

P

k =1

ak converges if and only if its sequence of partial sums {sn} is bounded, i.e., if and only if there exists a finite number M > 0 such

that

n

X

k =1

ak

≤ M for all n ∈ N.

(3)

6.2 Series with nonnegative terms

Theorem

Suppose that ak ≥ 0 for k ≥ N. Then

P

k =1

ak converges if and only if its sequence of partial sums {sn} is bounded, i.e., if and only if there exists a finite number M > 0 such

that

n

X

k =1

ak

≤ M for all n ∈ N.

(4)

Proof:

Set sn =

n

P

k =1

ak for n ∈N. If

P

k =1

ak converges, then sn

converges as n → ∞. Since every convergent sequence is bounded (Theorem 2.8),

P

k =1

ak has bounded partial sums.

Conversely, suppose that |sn| ≤ M for n ∈ N. Since ak ≥ 0 for k ≥ N, snis an increasing sequence when n ≥ N.

Hence by the Monotone Convergence Theorem (Theorem 2.19), sn converges. 2

(5)

Proof:

Set sn =

n

P

k =1

ak for n ∈N. If

P

k =1

ak converges, then sn

converges as n → ∞. Since every convergent sequence is bounded (Theorem 2.8),

P

k =1

ak has bounded partial sums.

Conversely, suppose that |sn| ≤ M for n ∈ N. Since ak ≥ 0 for k ≥ N, snis an increasing sequence when n ≥ N.

Hence by the Monotone Convergence Theorem (Theorem 2.19), sn converges. 2

(6)

Proof:

Set sn =

n

P

k =1

ak for n ∈N. If

P

k =1

ak converges, then sn

converges as n → ∞. Since every convergent sequence is bounded (Theorem 2.8),

P

k =1

ak has bounded partial sums.

Conversely, suppose that |sn| ≤ M for n ∈ N. Since ak ≥ 0 for k ≥ N, snis an increasing sequence when n ≥ N.

Hence by the Monotone Convergence Theorem (Theorem 2.19), sn converges. 2

(7)

Proof:

Set sn =

n

P

k =1

ak for n ∈N. If

P

k =1

ak converges, then sn

converges as n → ∞. Since every convergent sequence is bounded (Theorem 2.8),

P

k =1

ak has bounded partial sums.

Conversely, suppose that |sn| ≤ M for n ∈ N.Since ak ≥ 0 for k ≥ N, snis an increasing sequence when n ≥ N.

Hence by the Monotone Convergence Theorem (Theorem 2.19), sn converges. 2

(8)

Proof:

Set sn =

n

P

k =1

ak for n ∈N. If

P

k =1

ak converges, then sn

converges as n → ∞. Since every convergent sequence is bounded (Theorem 2.8),

P

k =1

ak has bounded partial sums.

Conversely, suppose that |sn| ≤ M for n ∈ N. Since ak ≥ 0 for k ≥ N,snis an increasing sequence when n ≥ N.

Hence by the Monotone Convergence Theorem (Theorem 2.19), sn converges. 2

(9)

Proof:

Set sn =

n

P

k =1

ak for n ∈N. If

P

k =1

ak converges, then sn

converges as n → ∞. Since every convergent sequence is bounded (Theorem 2.8),

P

k =1

ak has bounded partial sums.

Conversely, suppose that |sn| ≤ M for n ∈ N.Since ak ≥ 0 for k ≥ N, snis an increasing sequence when n ≥ N.

Hence by the Monotone Convergence Theorem (Theorem 2.19), sn converges. 2

(10)

Proof:

Set sn =

n

P

k =1

ak for n ∈N. If

P

k =1

ak converges, then sn

converges as n → ∞. Since every convergent sequence is bounded (Theorem 2.8),

P

k =1

ak has bounded partial sums.

Conversely, suppose that |sn| ≤ M for n ∈ N. Since ak ≥ 0 for k ≥ N,snis an increasing sequence when n ≥ N.

Hence by the Monotone Convergence Theorem (Theorem 2.19),sn converges. 2

(11)

Proof:

Set sn =

n

P

k =1

ak for n ∈N. If

P

k =1

ak converges, then sn

converges as n → ∞. Since every convergent sequence is bounded (Theorem 2.8),

P

k =1

ak has bounded partial sums.

Conversely, suppose that |sn| ≤ M for n ∈ N. Since ak ≥ 0 for k ≥ N, snis an increasing sequence when n ≥ N.

Hence by the Monotone Convergence Theorem (Theorem 2.19), sn converges. 2

(12)

Proof:

Set sn =

n

P

k =1

ak for n ∈N. If

P

k =1

ak converges, then sn

converges as n → ∞. Since every convergent sequence is bounded (Theorem 2.8),

P

k =1

ak has bounded partial sums.

Conversely, suppose that |sn| ≤ M for n ∈ N. Since ak ≥ 0 for k ≥ N, snis an increasing sequence when n ≥ N.

Hence by the Monotone Convergence Theorem (Theorem 2.19),sn converges. 2

(13)

Proof:

Set sn =

n

P

k =1

ak for n ∈N. If

P

k =1

ak converges, then sn

converges as n → ∞. Since every convergent sequence is bounded (Theorem 2.8),

P

k =1

ak has bounded partial sums.

Conversely, suppose that |sn| ≤ M for n ∈ N. Since ak ≥ 0 for k ≥ N, snis an increasing sequence when n ≥ N.

Hence by the Monotone Convergence Theorem (Theorem 2.19), sn converges. 2

(14)

Theorem (Integral Test)

Suppose that f : [1, ∞) →R is positive and decreasing on [1, ∞). Then

P

k =1

f (k ) converges if and only if f is improperly integrable on [1, ∞), i.e., if and only if

Z 1

f (x )dx < ∞.

(15)

Theorem (Integral Test)

Suppose that f : [1, ∞) →R is positive and decreasing on [1, ∞). Then

P

k =1

f (k ) converges if and only if f is improperly integrable on [1, ∞), i.e., if and only if

Z 1

f (x )dx < ∞.

(16)

Corollary:

[p-Series Test]

The series

(4)

X

k =1

1 kp converges if and only if p > 1.

(17)

Corollary:

[p-Series Test]

The series

(4)

X

k =1

1 kp converges if and only if p > 1.

(18)

Proof:

If p = 1 or p ≤ 0, the series diverges. If p > 0 and p 6= 1, set f (x ) = x−p and observe that f0(x ) = −px−p−1 <0 for all x ∈ [1, ∞). Hence, f is nonnegative and decreasing on [1, ∞). Since,

Z 1

dx

xp = lim

x →∞

x1−p 1 − p

n

1

= lim

n→∞

n1−p− 1 1 − p

has a finite limit if and only if 1 − p < 0, it follows from the Integral Test that (4) converges if and only if p > 1.2

(19)

Proof:

If p = 1 or p ≤ 0,the series diverges. If p > 0 and p 6= 1, set f (x ) = x−p and observe that f0(x ) = −px−p−1 <0 for all x ∈ [1, ∞). Hence, f is nonnegative and decreasing on [1, ∞). Since,

Z 1

dx

xp = lim

x →∞

x1−p 1 − p

n

1

= lim

n→∞

n1−p− 1 1 − p

has a finite limit if and only if 1 − p < 0, it follows from the Integral Test that (4) converges if and only if p > 1.2

(20)

Proof:

If p = 1 or p ≤ 0, the series diverges. If p > 0 and p 6= 1, set f (x ) = x−p and observe that f0(x ) = −px−p−1 <0 for all x ∈ [1, ∞). Hence, f is nonnegative and decreasing on [1, ∞). Since,

Z 1

dx

xp = lim

x →∞

x1−p 1 − p

n

1

= lim

n→∞

n1−p− 1 1 − p

has a finite limit if and only if 1 − p < 0, it follows from the Integral Test that (4) converges if and only if p > 1.2

(21)

Proof:

If p = 1 or p ≤ 0, the series diverges. If p > 0 and p 6= 1, set f (x ) = x−p and observe that f0(x ) = −px−p−1 <0 for all x ∈ [1, ∞). Hence, f is nonnegative and decreasing on [1, ∞).Since,

Z 1

dx

xp = lim

x →∞

x1−p 1 − p

n

1

= lim

n→∞

n1−p− 1 1 − p

has a finite limit if and only if 1 − p < 0, it follows from the Integral Test that (4) converges if and only if p > 1.2

(22)

Proof:

If p = 1 or p ≤ 0, the series diverges. If p > 0 and p 6= 1, set f (x ) = x−p and observe that f0(x ) = −px−p−1 <0 for all x ∈ [1, ∞). Hence, f is nonnegative and decreasing on [1, ∞). Since,

Z 1

dx

xp = lim

x →∞

x1−p 1 − p

n

1

= lim

n→∞

n1−p− 1 1 − p

has a finite limit if and only if 1 − p < 0,it follows from the Integral Test that (4) converges if and only if p > 1.2

(23)

Proof:

If p = 1 or p ≤ 0, the series diverges. If p > 0 and p 6= 1, set f (x ) = x−p and observe that f0(x ) = −px−p−1 <0 for all x ∈ [1, ∞). Hence, f is nonnegative and decreasing on [1, ∞).Since,

Z 1

dx

xp = lim

x →∞

x1−p 1 − p

n

1

= lim

n→∞

n1−p− 1 1 − p

has a finite limit if and only if 1 − p < 0, it follows from the Integral Test that (4) converges if and only if p > 1.2

(24)

Proof:

If p = 1 or p ≤ 0, the series diverges. If p > 0 and p 6= 1, set f (x ) = x−p and observe that f0(x ) = −px−p−1 <0 for all x ∈ [1, ∞). Hence, f is nonnegative and decreasing on [1, ∞). Since,

Z 1

dx

xp = lim

x →∞

x1−p 1 − p

n

1

= lim

n→∞

n1−p− 1 1 − p

has a finite limit if and only if 1 − p < 0,it follows from the Integral Test that (4) converges if and only if p > 1.2

(25)

Proof:

If p = 1 or p ≤ 0, the series diverges. If p > 0 and p 6= 1, set f (x ) = x−p and observe that f0(x ) = −px−p−1 <0 for all x ∈ [1, ∞). Hence, f is nonnegative and decreasing on [1, ∞). Since,

Z 1

dx

xp = lim

x →∞

x1−p 1 − p

n

1

= lim

n→∞

n1−p− 1 1 − p

has a finite limit if and only if 1 − p < 0, it follows from the Integral Test that (4) converges if and only if p > 1.2

(26)

Theorem (Comparison Test)

Suppose that 0 ≤ ak ≤ bk for large k.

(i)If

P

k =1

bk < ∞, then

P

k =1

ak < ∞.

(ii)If

P

k =1

ak = ∞, then

P

k =1

bk = ∞.

(27)

Theorem (Comparison Test)

Suppose that 0 ≤ ak ≤ bk for large k.

(i)If

P

k =1

bk < ∞, then

P

k =1

ak < ∞.

(ii)If

P

k =1

ak = ∞, then

P

k =1

bk = ∞.

(28)

Theorem (Comparison Test)

Suppose that 0 ≤ ak ≤ bk for large k.

(i)If

P

k =1

bk < ∞, then

P

k =1

ak < ∞.

(ii)If

P

k =1

ak = ∞, then

P

k =1

bk = ∞.

(29)

Theorem (Comparison Test)

Suppose that 0 ≤ ak ≤ bk for large k.

(i)If

P

k =1

bk < ∞, then

P

k =1

ak < ∞.

(ii)If

P

k =1

ak = ∞, then

P

k =1

bk = ∞.

(30)

Theorem (Comparison Test)

Suppose that 0 ≤ ak ≤ bk for large k.

(i)If

P

k =1

bk < ∞, then

P

k =1

ak < ∞.

(ii)If

P

k =1

ak = ∞, then

P

k =1

bk = ∞.

(31)

Theorem (Comparison Test)

Suppose that 0 ≤ ak ≤ bk for large k.

(i)If

P

k =1

bk < ∞, then

P

k =1

ak < ∞.

(ii)If

P

k =1

ak = ∞, then

P

k =1

bk = ∞.

(32)

Example:

Determine whether the following series converges or diverges.

X

k =1

3k k2+k

rlog k k

(33)

Example:

Determine whether the following series converges or diverges.

X

k =1

3k k2+k

rlog k k

(34)

Theorem (Limit Comparison Test)

Suppose that ak ≥ 0 and bk >0 for large k and L := lim

n→∞

an

bn

exists as an extended real number.

(i)If 0 < L < ∞, then

P

k =1

ak converges if and only if

P

k =1

bk

converges.

(ii) If L = 0 and

P

k =1

ak converges, then

P

k =1

ak converges.

(iii) If L = 0 and

P

k =1

bk diverges, then

P

k =1

ak diverges.

(35)

Theorem (Limit Comparison Test)

Suppose that ak ≥ 0 and bk >0 for large k and L := lim

n→∞

an

bn

exists as an extended real number.

(i) If 0 < L < ∞, then

P

k =1

ak converges if and only if

P

k =1

bk

converges.

(ii) If L = 0 and

P

k =1

ak converges, then

P

k =1

ak converges.

(iii) If L = 0 and

P

k =1

bk diverges, then

P

k =1

ak diverges.

(36)

Theorem (Limit Comparison Test)

Suppose that ak ≥ 0 and bk >0 for large k and L := lim

n→∞

an

bn

exists as an extended real number.

(i)If 0 < L < ∞, then

P

k =1

ak converges if and only if

P

k =1

bk

converges.

(ii)If L = 0 and

P

k =1

ak converges, then

P

k =1

ak converges.

(iii) If L = 0 and

P

k =1

bk diverges, then

P

k =1

ak diverges.

(37)

Theorem (Limit Comparison Test)

Suppose that ak ≥ 0 and bk >0 for large k and L := lim

n→∞

an

bn

exists as an extended real number.

(i) If 0 < L < ∞, then

P

k =1

ak converges if and only if

P

k =1

bk

converges.

(ii) If L = 0 and

P

k =1

ak converges, then

P

k =1

ak converges.

(iii) If L = 0 and

P

k =1

bk diverges, then

P

k =1

ak diverges.

(38)

Theorem (Limit Comparison Test)

Suppose that ak ≥ 0 and bk >0 for large k and L := lim

n→∞

an

bn

exists as an extended real number.

(i) If 0 < L < ∞, then

P

k =1

ak converges if and only if

P

k =1

bk

converges.

(ii)If L = 0 and

P

k =1

ak converges, then

P

k =1

ak converges.

(iii)If L = 0 and

P

k =1

bk diverges, then

P

k =1

ak diverges.

(39)

Theorem (Limit Comparison Test)

Suppose that ak ≥ 0 and bk >0 for large k and L := lim

n→∞

an

bn

exists as an extended real number.

(i) If 0 < L < ∞, then

P

k =1

ak converges if and only if

P

k =1

bk

converges.

(ii) If L = 0 and

P

k =1

ak converges, then

P

k =1

ak converges.

(iii) If L = 0 and

P

k =1

bk diverges, then

P

k =1

ak diverges.

(40)

Theorem (Limit Comparison Test)

Suppose that ak ≥ 0 and bk >0 for large k and L := lim

n→∞

an

bn

exists as an extended real number.

(i) If 0 < L < ∞, then

P

k =1

ak converges if and only if

P

k =1

bk

converges.

(ii) If L = 0 and

P

k =1

ak converges, then

P

k =1

ak converges.

(iii)If L = 0 and

P

k =1

bk diverges, then

P

k =1

ak diverges.

(41)

Theorem (Limit Comparison Test)

Suppose that ak ≥ 0 and bk >0 for large k and L := lim

n→∞

an

bn

exists as an extended real number.

(i) If 0 < L < ∞, then

P

k =1

ak converges if and only if

P

k =1

bk

converges.

(ii) If L = 0 and

P

k =1

ak converges, then

P

k =1

ak converges.

(iii) If L = 0 and

P

k =1

bk diverges, then

P

k =1

ak diverges.

(42)

Example:

(1)

P

k =1

k

k k

(2)

P

k =1

√ 1 k 3k −1

(43)

Example:

(1)

P

k =1

k

k k

(2)

P

k =1

√ 1 k 3k −1

(44)

Example:

(1)

P

k =1

k

k k

(2)

P

k =1

√ 1 k 3k −1

(45)

Thank you.

參考文獻

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