Comprehensive Study Guide on Infinite Series: Convergence, Divergence, and Analytical Tests
Fundamental Definitions of Infinite Series
Sum of Finite Elements:
Given a sequence an, the summation notation denotes the sum of the first n elements:
a1+a2+⋯+an=∑k=1nak
Definition of an Infinite Series:
The sum of an infinite number of elements of the sequence an in which every element is followed by its next element, denoted a1+a2+a3+…∞, is called an infinite series.
It is formally represented as:
∑n=1∞anor simply∑an
Sometimes an infinite series is indexed from n=0:
∑n=0∞an
in which case the initial term is a0.
Sequence of Partial Sums:
Associated with the infinite series a1+a2+…∞ is a sequence of partial sums Sn defined by:
Sn=a1+a2+⋯+an=∑k=1nak
Sn is termed the nth partial sum of the series ∑an.
Convergence, Divergence, and Oscillation:
Convergence: If the sequence of nth partial sums Sn converges to a finite limit S, the series ∑n=1∞an is defined to be convergent. The limit S is defined as the sum of the infinite series:
∑n=1∞an=a1+a2+…∞=S
Divergence: The series ∑an is said to be divergent if the sequence of partial sums Sn diverges (i.e., limn→∞(Sn)=+∞ or −∞).
Oscillation: The series ∑an is said to be oscillatory if the sequence of partial sums Sn oscillates (finitely or infinitely).
The Geometric Series
Definition and Structure:
The geometric series is defined as:
∑n=0∞rn=1+r+r2+…∞
Convergence and Sum (∣r∣<1):
The geometric series converges if and only if ∣r∣<1.
The sum of the convergent series is:
S=1−r1
Derivation:
The nth partial sum of the series is:
Sn=1+r+r2+⋯+rn−1=1−r1−rn=1−r1−1−rrn
Taking the limit as n→∞:
limn→∞(Sn)=1−r1−1−r1limn→∞(rn)
For ∣r∣<1, limn→∞(rn)=0, yielding:
limn→∞(Sn)=1−r1
Therefore, the sequence Sn converges to 1−r1, and:
1+r+r2+…∞=1−r1
Behavior for Other Values of r:
Case r≥1:limn→∞(Sn)=+∞
The series diverges to +∞.
Case r=−1:limn→∞(Sn) oscillates between 0 and 1
The series oscillates finitely.
Case r<−1:limn→∞(Sn) oscillates between −∞ and +∞
The series oscillates infinitely.
Cauchy's General Principle of Convergence
Theorem (1.1) Statement:
The series ∑an converges if and only if for every ϵ>0, there exists a positive integer N such that for all positive integers m,n satisfying n>m>N:
∣Sn−Sm∣<ϵ
which is equivalent to:
∣am+1+am+2+⋯+an∣<ϵ
Proof:
Let Sn=a1+a2+⋯+an.
The series ∑an is convergent if and only if the sequence of partial sums Sn is convergent.
By Cauchy's Criterion for convergence of a sequence, Sn is convergent if and only if for any ϵ>0, there exists a positive integer N such that for all n>m>N:
∣Sn−Sm∣<ϵ
Expanding the difference of partial sums:
Sn−Sm=(a1+a2+⋯+an)−(a1+a2+⋯+am)=am+1+am+2+⋯+an
Hence:
∣am+1+am+2+⋯+an∣<ϵ
Alternative Formulations of the Criterion:
Setting m=N+1:
n>N⟹∣aN+2+aN+3+⋯+an∣<ϵ
Setting m=N+1 and n=N+p where p>1:
∣aN+2+aN+3+⋯+aN+p∣<ϵfor all positive integers p>1
Example-Set (1.2) — Divergence of the Harmonic Series:
To demonstrate using Cauchy's general principle that ∑n=1∞n1 does not converge:
Let N be any positive integer. Choose integers m,n such that m>N and n=2m.
Consider the absolute sum of terms from m+1 to n:
∣am+1+am+2+⋯+an∣=m+11+m+21+⋯+2m1
Since each term satisfies m+k1>2m1 for k<m:
m+11+m+21+⋯+2m1>2m1+2m1+⋯+2m1=m(2m1)=21
Choosing ϵ=21, there exists no N beyond which the block sum remains smaller than ϵ, because for every N, integers m,n (n>m>N) can be chosen such that:
∣am+1+am+2+⋯+an∣>21
By negation of Cauchy's general principle of convergence, the series ∑n=1∞n1 is not convergent.
Necessary Condition for Convergence and Boundedness
Proposition (1.3) — Limit of Terms:
If the series ∑an is convergent, then:
limn→∞(an)=0
Proof:
Let Sn=a1+a2+⋯+an.
Since ∑an is convergent, the sequence Sn converges to some limit S:
limn→∞(Sn)=S
Express the nth term as the difference between consecutive partial sums:
an=Sn−Sn−1
The condition limn→∞(an)=0 is necessary but not sufficient for convergence.
Counterexample: For the series ∑an=∑n1:
limn→∞(an)=limn→∞(n1)=0
However, the series ∑n1 is divergent.
Divergence Test (Contrapositive Note):
If limn→∞(an)=0, it definitively implies that the series ∑an is not convergent.
Theorem (1.2) — Series of Non-Negative Terms:
A series of non-negative terms (an≥0 for all n) converges if and only if its sequence of partial sums Sn is bounded.
Proof:
Necessity: If ∑an converges, the sequence Sn is convergent and hence bounded.
Sufficiency: Let Sn be bounded.
Since an≥0 for all n:
Sn+1=Sn+an+1≥Sn
Thus, the sequence Sn is monotonically increasing.
A monotonically increasing sequence that is bounded above converges.
Therefore, Sn converges, meaning ∑an is convergent.
Series of Positive Terms and Comparison Tests
Dichotomy of Positive Term Series:
A series of positive terms ∑an either converges or diverges to +∞.
It cannot oscillate.
Theorem (2.1) — Comparison Theorem:
Part (i): If ∑an is a convergent series of positive terms and ∑bn is a series of positive terms such that bn≤kan for all n (where k>0), then ∑bn is also convergent.
Proof: Let Sn=a1+a2+⋯+an and Sn′=b1+b2+⋯+bn.
Then b1+b2+⋯+bn≤k(a1+a2+⋯+an), so Sn′≤kSn.
Since ∑an converges, Sn is bounded. Therefore, Sn′ is bounded.
By Theorem (1.2), ∑bn is convergent.
Part (ii): If ∑an is divergent and bn≥kan for all n (where k>0), then ∑bn is also divergent.
Proof: If ∑an is divergent, limn→∞(Sn)=+∞.
For every k′>0, there exists N such that Sn>k′ for all n>N.
Since Sn′≥kSn, it follows that Sn′>kk′ for n>N.
Hence limn→∞(Sn′)=+∞, meaning Sn′ diverges to +∞, and ∑bn is divergent.
Theorem (2.2) — Comparison Test (Limit Form):
Let ∑an and ∑bn be two series of positive terms such that:
limn→∞(bnan)=l
If l is finite and non-zero (l=0), then both series are either both convergent or both divergent.
If l=0, the test fails.
Proof:
Since limn→∞(bnan)=l>0, choose ϵ such that 0<ϵ<l.
There exists a positive integer N such that for n>N:
bnan−l<ϵ⟹l−ϵ<bnan<l+ϵ
Setting k=l+ϵ>0 and k′=l−ϵ>0:
n>N⟹an<kbnandan>k′bn
Removing the first N terms from both series does not change their convergence nature.
By Comparison Theorem (2.1), if ∑bn converges, then ∑an converges; if ∑bn diverges, then ∑an diverges.
If l=0, one cannot choose ϵ such that 0<ϵ<l, so the argument fails.
The p-Series Test (Harmonic Series of Order p)
Theorem (2.3) — Convergence Criteria for ∑np1:
The series ∑np1 converges if p>1 and diverges if p≤1.
Proof by Grouping:
Case I (p>1):
Because all terms are positive, terms can be grouped in brackets without altering the nature of the series:
1p1+(2p1+3p1)+(4p1+5p1+6p1+7p1)+(8p1+⋯+to 8 terms)+…— (1)
Comparing this with the corresponding upper-bound groupings:
1p1+(2p1+2p1)+(4p1+4p1+4p1+4p1)+(8p1+⋯+to 8 terms)+…=1p1+2(2p1)+4(4p1)+8(8p1)+…=1p1+2p−11+(2p−11)2+(2p−11)3+…— (2)
The terms of grouped series (1) are less than the corresponding terms of series (2) after the first term.
Series (2) is a geometric series with common ratio r=2p−11.
Since p>1, p−1>0, so 2p−1>1, which implies r=2p−11<1.
Hence, series (2) converges. By Comparison Theorem (2.1) (with k=1), series (1) converges, and ∑np1 is convergent.
Case II (p=1):
The series becomes the harmonic series:
1+21+31+41+…
The terms of ∑p=2∞aN+p are greater than k(=aN+1) times the terms of ∑p=1∞Rp.
Since R>1, the geometric series diverges.
By Comparison Theorem (2.1), ∑p=2∞aN+p diverges, and ∑n=1∞an is divergent.
Case (l=1):
One cannot choose ϵ>0 such that 1+ϵ<1 or 1−ϵ>1, causing the argument to fail.
Note — Alternative Form (First Ratio Test):
If ∑an is a series of positive terms and:
limn→∞(an+1an)=L
(i) ∑an is convergent if L>1.
(ii) ∑an is divergent if L<1.
If L=1, the test fails.
Comparison of Ratios Theorem
Theorem (2.5) Statement:
Let ∑an and ∑bn be two series of positive terms such that:
an+1an>bn+1bnfor all n>m (where m is a fixed positive integer)
(i) ∑an is convergent if ∑bn converges.
(ii) ∑bn is divergent if ∑an diverges.
Proof:
Let partial tail sums be defined as:
Sp=am+1+am+2+⋯+am+pSp′=bm+1+bm+2+⋯+bm+p
Factoring out initial terms:
Sp=am+1(1+am+1am+2+am+2am+3⋅am+1am+2+…)
Because anan+1<bnbn+1 for all indices greater than m:
Sp<am+1(1+bm+1bm+2+bm+2bm+3⋅bm+1bm+2+…)Sp<bm+1am+1(bm+1+bm+2+bm+3+⋯+bm+p)=bm+1am+1Sp′
Thus Sp<kSp′, where k=bm+1am+1.
If ∑p=1∞bm+p is convergent, the sequence Sp′ is bounded.
Consequently, Sp is bounded, establishing that ∑p=1∞am+p and hence ∑an converges.
Part (ii) follows analogously by contraposition.
Raabe's Test
Theorem (2.6) Statement:
Let ∑an be a series of positive terms and:
limn→∞(n(an+1an−1))=l
(i) ∑an is convergent if l>1.
(ii) ∑an is divergent if l<1.
If l=1, the test fails.
Proof:
Part (i) (l>1):
Choose p such that 1<p<l.
Select the comparison series bn=np1, which converges by Theorem (2.3) since p>1.
By Theorem (2.5) (Comparison of Ratios), ∑an converges if:
an+1an>bn+1bn=np(n+1)p=(1+n1)p
Expanding via the binomial theorem:
an+1an>1+np+2!n2p(p−1)+…n(an+1an−1)>p+nA+n2B+…
Taking the limit as n→∞:
limn→∞(n(an+1an−1))>p+limn→∞(na+n2b+…)limn→∞(n(an+1an−1))>p
This condition holds because l>p>1. Therefore, ∑an is convergent.
Part (ii) (l<1):
Analogously, comparing with bn=np1 with p<1 establishes divergence.
Failure at l=1:
If l=1, one cannot choose p strictly between 1 and l, so the test fails.
Operational Context:
Raabe's test is applied when D'Alembert's Ratio Test fails (i.e., when limn→∞(an+1an)=1).
Logarithmic Ratio Test
Theorem (2.7) Statement:
A series ∑an of positive terms is:
(i) Convergent if:
limn→∞(nlog(an+1an))>1
(ii) Divergent if:
limn→∞(nlog(an+1an))<1
The test fails if the limit is 1.
Proof:
Let bn=np1 with p>1, so ∑bn is convergent.
By Comparison of Ratios Theorem (2.5), ∑an is convergent if for every n>m:
an+1an>bn+1bn=(1+n1)p
Taking the natural logarithm of both sides:
log(an+1an)>plog(1+n1)=p(n1−2n21+3n31−…)log(an+1an)>np−2n2p+3n3p−…
Multiplying across by n:
nlog(an+1an)>p−2np+3n2p−…
Since p>1, convergence is guaranteed if limn→∞(nlog(an+1an))>1.
The divergence condition follows similarly.
Application Note:
The Logarithmic Ratio Test serves as an alternative to Raabe's Test.
It is particularly suitable when limn→∞(an+1an) evaluates to an expression involving the base e, or when evaluating limn→∞(nlog(an+1an)) is straightforward.
De Morgan's and Bertrand's Test
Theorem (2.8) Statement:
If ∑an is a series of positive terms, the series is convergent or divergent according as:
limn→∞({n(an+1an−1)−1}log(n))>1or<1
Proof:
Use the comparison series bn=n(log(n))p1, which converges if p>1 and diverges if p≤1.
Compute the ratio of consecutive terms:
bn+1bn=nn+1{log(n)log(n+1)}p=(1+n1){log(n)log(n)+log(1+n1)}p=(1+n1){1+log(n)1(n1−2n21+…)}p=(1+n1){1+nlog(n)p+…}=1+n1+nlog(n)p+…
By Comparison of Ratios Theorem, ∑an converges if for n>m and p>1:
an+1an>1+n1+nlog(n)p+…n(an+1an−1)>1+log(n)p+…{n(an+1an−1)−1}log(n)>p+terms containing n and log(n) in denominator
Taking the limit as n→∞:
limn→∞({n(an+1an−1)−1}log(n))>p>1
Thus, ∑an is convergent if the limit is strictly greater than 1.
Cauchy's Root Test
Theorem (2.9) Statement:
If ∑an is a series of positive terms such that:
limn→∞(an)1/n=l
∑an is convergent if l<1.
∑an is divergent if l>1.
The test fails if l=1.
Proof:
Case (i) (l<1):
Choose ϵ>0 such that l+ϵ<1.
Since limn→∞(an)1/n=l, there exists a positive integer N such that for n>N:
(an)1/n<l+ϵ=rwhere r<1an<rn
The terms of ∑n=N+1∞an are less than the corresponding terms of the geometric series ∑n=N+1∞rn.
Since r<1, the geometric series converges.
By Comparison Theorem, ∑an is convergent.
Case (ii) (l>1):
Choose ϵ>0 such that l−ϵ>1.
There exists a positive integer N such that for n>N:
(an)1/n>l−ϵ=Rwhere R>1an>Rn
Since ∑Rn diverges for R>1, by Comparison Theorem, ∑an is divergent.
Case (iii) (l=1):
One cannot choose ϵ>0 such that l+ϵ<1 or l−ϵ>1, so the argument fails.
Cauchy's Condensation Test
Theorem (2.10) Statement:
Let ϕ be a function such that:
(i) ϕ(n) is positive for all positive integers n.
(ii) The sequence ϕ(n) is non-increasing.
Then the two series:
∑ϕ(n)and∑anϕ(an)
are either both convergent or both divergent, where a is a positive integer greater than 1.
Proof:
Consider the block sum:
ϕ(ak+1)+ϕ(ak+2)+⋯+ϕ(ak+1)
This group consists of ak+1−ak=ak(a−1) terms.
Because ϕ(n) is non-increasing, each term is greater than or equal to ϕ(ak+1) and less than or equal to ϕ(ak).
Evaluating this inequality successively for k=1,2,…,p:
(a−1)aϕ(a2)≤ϕ(a+1)+⋯+ϕ(a2)≤(a−1)aϕ(a)(a−1)a2ϕ(a3)≤ϕ(a2+1)+⋯+ϕ(a3)≤(a−1)a2ϕ(a2)…(a−1)apϕ(ap+1)≤ϕ(ap+1)+⋯+ϕ(ap+1)≤(a−1)apϕ(ap)
Summing these inequalities yields inequality (1):
aa−1[a2ϕ(a2)+a3ϕ(a3)+⋯+ap+1ϕ(ap+1)]≤ϕ(a+1)+ϕ(a+2)+⋯+ϕ(ap+1)≤(a−1)[aϕ(a)+a2ϕ(a2)+⋯+apϕ(ap)]
Convergence of ∑anϕ(an) when ∑ϕ(n) converges:
Let ∑ϕ(n) converge. Its partial sums are bounded: there exists A such that:
ϕ(1)+ϕ(2)+⋯+ϕ(n)<Afor all n
By the left side of inequality (1):
aa−1[a2ϕ(a2)+⋯+ap+1ϕ(ap+1)]<Aa2ϕ(a2)+⋯+ap+1ϕ(ap+1)<a−1aA+aϕ(a)
Thus, the partial sums of ∑anϕ(an) are bounded for all p, meaning ∑anϕ(an) converges.
Convergence of ∑ϕ(n) when ∑anϕ(an) converges:
Let ∑anϕ(an) converge. Its partial sums are bounded: there exists B such that:
aϕ(a)+a2ϕ(a2)+⋯+anϕ(an)<Bfor all n
By the right side of inequality (1):
ϕ(a+1)+ϕ(a+2)+⋯+ϕ(ap+1)<(a−1)Bϕ(1)+ϕ(2)+⋯+ϕ(ap+1)<(a−1)B+ϕ(1)+⋯+ϕ(a)
For any positive integer n, choose p such that n<ap+1. Then:
ϕ(1)+ϕ(2)+⋯+ϕ(n)<ϕ(1)+ϕ(2)+⋯+ϕ(ap+1)<(a−1)B+ϕ(1)+⋯+ϕ(a)
The sequence of partial sums of ∑ϕ(n) is bounded, so ∑ϕ(n) converges.
Detailed Example Applications and Proofs
Example-Set (2.2) — Logarithmic Ratio Test on a Power-Factorial Series:
Series: 1+2x+322!x2+433!x3+544!x4+…
Omitting the first term, the nth term is:
an=(n+1)nn!xn,an+1=(n+2)n+1(n+1)!xn+1
Compute the ratio:
an+1an=(n+1)nn!(n+1)!(n+2)n+1x1=(n+1n+2)n+1x1=(1+n+11)n+1x1
Taking limits:
limn→∞(an+1an)=xe
By the First Ratio Test, the series converges if xe>1⟺x<e, and diverges if x>e.
When x=e, the ratio test fails (xe=1). Apply the Logarithmic Ratio Test:
an+1an=(1+n+11)n+1e1log(an+1an)=(n+1)log(1+n+11)−log(e)=(n+1)[n+11−2(n+1)21+3(n+1)31−…]−1=1−2(n+1)1+3(n+1)21−⋯−1=−2(n+1)1+3(n+1)21−…
Multiply by n:
nlog(an+1an)=−21(n+1n)+3(n+1)2n−…
Taking the limit as n→∞:
limn→∞(nlog(an+1an))=−21<1
By the Logarithmic Ratio Test, the series diverges when x=e.
Conclusion: The series is convergent when x<e and divergent when x≥e.
Example-Set (2.3) — Factorial Product Series:
Series: 1+a+2!a(a+1)+3!a(a+1)(a+2)+…
Omitting the first term:
an=n!a(a+1)(a+2)…(a+n−1)an+1an=n!a(a+1)…(a+n−1)a(a+1)…(a+n)(n+1)!=a+nn+1=1+na1+n1
Limit:
limn→∞(an+1an)=1
D'Alembert's Test fails. Apply Raabe's Test:
n(an+1an−1)=n(a+nn+1−1)=n(a+n1−a)=1+na1−alimn→∞(n(an+1an−1))=1−a
By Raabe's Test:
Converges if 1−a>1⟺a<0.
Diverges if 1−a<1⟺a>0.
If 1−a=1⟺a=0, Raabe's test fails.
Direct inspection for a=0: The series becomes 1+0+0+⋯=1, which converges.
Conclusion: The series is convergent if a≤0 and divergent if a>0.
Example-Set (2.4) — Double-Factorial Ratio Series:
Series: 1+21x+2⋅41⋅3x2+2⋅4⋅61⋅3⋅5x3+…(x>0)
Omitting the first term:
an=2⋅4⋅6…(2n)1⋅3⋅5…(2n−1)xnan+1=2⋅4⋅6…(2n)(2n+2)1⋅3⋅5…(2n−1)(2n+1)xn+1an+1an=2n+12n+2x1
Taking the limit:
limn→∞(an+1an)=x1
By the First Ratio Test:
Converges if x1>1⟺x<1.
Diverges if x1<1⟺x>1.
Fails if x=1.
For x=1, apply Raabe's Test:
an+1an=2n+12n+2n(an+1an−1)=n(2n+12n+2−2n−1)=2n+1n=2+n11limn→∞(n(an+1an−1))=21<1
Hence, the series diverges when x=1.
Conclusion: Convergent when x<1 and divergent when x≥1.
Omitting the first term:
an=n!γ(γ+1)…(γ+n−1)α(α+1)…(α+n−1)β(β+1)…(β+n−1)xnan+1an=(α+n)(β+n)(n+1)(γ+n)x1
Taking the limit as n→∞:
limn→∞(an+1an)=x1
Convergent if x<1, divergent if x>1. At x=1, apply Raabe's Test:
n(an+1an−1)=n[(n+α)(n+β)n2+n+nγ+γ−(n2+nα+nβ+αβ)]=n[n2(1+nα)(1+nβ)n(1+γ−α−β)+(γ−αβ)]=(1+nα)(1+nβ)(1+γ−α−β)+nγ−αβ— (1)limn→∞(n(an+1an−1))=1+γ−α−β
By Raabe's Test:
Converges if 1+γ−α−β>1⟺γ>α+β.
Diverges if 1+γ−α−β<1⟺γ<α+β.
Fails if γ=α+β.
For x=1 and γ=α+β, apply De Morgan's Test:
n(an+1an−1)=(1+nα)(1+nβ)1+nγ−αβn(an+1an−1)−1=(1+nα)(1+nβ)1+nγ−αβ−(1+nα+β+n2αβ)=(1+nα)(1+nβ)nγ−α−β−nαβ−n2αβ=(1+nα)(1+nβ)−nαβ(1+n1)(since γ=α+β)limn→∞({n(an+1an−1)−1}log(n))=limn→∞((1+nα)(1+nβ)−αβ(1+n1)nlog(n))
Since limn→∞(nlog(n))=0, this limit equals 0<1.
By De Morgan's Test, the series is divergent when x=1 and γ=α+β.
Complete Conclusion:
Convergent when x<1.
Divergent when x>1.
When x=1, convergent if γ>α+β and divergent if γ≤α+β.
Example-Set (2.6) — Cauchy's Root Test on Power Fractions:
Testing ∑vn=∑ann2 via D'Alembert's Ratio Test:
limn→∞(vnvn+1)=limn→∞(an+1(n+1)2n2an)=a1<1
Thus ∑vn converges, meaning ∑anϕ(an) converges.
By Condensation Test, ∑n2(log(n))2 is convergent.
Example-Set (2.10):
Series: 1+2!2x+3!32x2+4!43x3+5!54x4+…
Omitting the first term:
an=(n+1)!(n+1)nxnan+1an=(n+1)!(n+1)nxn(n+2)n+1xn+1(n+2)!=(n+2)n+1x(n+1)n(n+2)=(n+2)n(n+1)nx1=(1+n+11)nx1limn→∞(an+1an)=ex1
By the First Ratio Test, convergent if ex1>1⟺x<e1, and divergent if x>e1.
When x=e1, test fails. Apply the Logarithmic Ratio Test:
an+1an=(1+n2)n(1+n1)nelog(an+1an)=nlog(1+n1)+log(e)−nlog(1+n2)=n(n1−2n21+3n31−…)+1−n(n2−2n24+…)=(1−2n1+3n21−…)+1−(2−n2+…)=2n3+n2A+…nlog(an+1an)=23+nA+…limn→∞(nlog(an+1an))=23>1
Hence, the series converges when x=e1.
Conclusion: Convergent when x≤e1 and divergent when x>e1.
Example-Set (2.11):
Series: 1!a+x+2!(a+2x)2+3!(a+3x)3+…(x>0)
General term:
an=n!(a+nx)n=n!nnxn(1+nxa)n
Compare with bn=n!nnxn from Example (2.10):
limn→∞(bnan)=limn→∞(1+nxa)n=limn→∞[(1+nxa)anx]a/x=ea/x
Since x>0, ea/x is finite and non-zero.
By Comparison Test, ∑an converges when x≤e1 and diverges when x>e1.
Example-Set (2.12):
Series: 1+2x+322!x2+433!x3+…(x>0)
Omitting the first term:
an=(n+1)nn!xnan+1an=(n+1)nn!xn(n+1)!xn+1(n+2)n+1=(n+1)n+1(n+2)n+1x1=(1+n+11)n+1x1limn→∞(an+1an)=xe
Ratio Test: Converges for x<e, diverges for x>e. Fails at x=e.
At x=e, apply Logarithmic Ratio Test:
log(an+1an)=(n+1)log(1+n+11)−log(e)=−2(n+1)1+3(n+1)21−…nlog(an+1an)=−21(n+1n)+…limn→∞(nlog(an+1an))=−21<1
Hence divergent when x=e.
Conclusion: Convergent when x<e and divergent when x≥e.
Example-Set (2.13):
Series: x+53x2+108x3+⋯+n2+1n2−1xn+…(x>0)
General term is an=n2+1n2−1xn.
Choose comparison series bn=xn.
limn→∞(bnan)=limn→∞(n2+1n2−1)=1
The geometric series ∑xn converges for 0<x<1 and diverges for x≥1.
By Comparison Test, ∑an converges when x<1 and diverges when x≥1.
Problem-Set Items and Solutions
Problem (2.1) — Assorted Convergence Determinations:
(i)an=n2+1n
Comparison with bn=n1: limn→∞(bnan)=1.
Result: Divergent. (Note: Text answer key lists Conv. for alternative print variant n4+1n, where p=3/2>1). Text answer: Conv.
(ii)an=(a+nb)2n
an≈b2n1. Compare with bn=n1.
Result: Divergent.
(iii)an=(n3+1)1/3−n
Binomial expansion: n(1+n31)1/3−n=3n21−…. Compare with bn=n21.
Result: Convergent.
(iv)an=n5−2n2+n−1
Leading power is n5n2=n−3/2. Compare with bn=n3/21.
Result: Convergent.
(v)an=2n+n22+sin3(n+1)
Bound: 2+sin3(n+1)≤3 since ∣sin(θ)∣≤1, and 2n+n2>2n.
Thus an<2n3. Compare with convergent geometric series bn=2n1.
Result: Convergent.
(vi)an=2n−1+sin2(n3)1
Bound: 0≤sin2(n3)≤1, so an<2n−11. Compare with bn=2n1.
If ∑an is convergent and an=1, test the convergence of ∑1−anan.
Proof/Hint: Let bn=1−anan.
Then:
limn→∞(bnan)=limn→∞(1−an)=1−0=1
Since this limit is finite and non-zero, by Comparison Test (2.2), ∑bn=∑1−anan is convergent.
Supplementary Background Topics from Marginal Notes
Linear Algebra and Algebraic Structures Checklist:
Definition of Field: Axiomatic properties and canonical numerical examples: R (real field), C (complex field), Q (rational field), and Zp (finite prime fields).
Vector Space Definition: Axioms over a ground field, concrete examples, and basic closure properties.
Subspaces: Subspace criteria, intersections, and subspaces generated (spans).
Linear Dependence and Independence: Formal linear combinations yielding the zero vector.
Bases and Dimension: Minimal generating sets, maximal independent sets, and the invariant dimension of a vector space V.
Sum and Direct Sum: Internal and external sums; direct sum U⊕W characterized by unique representation and trivial intersection (U∩W=0).
Quotient Spaces: Construction of V/W, cosets v+W, and dimensionality relation dim(V/W)=dim(V)−dim(W).
Pattern Printing Code Outline:
Nested loop programming exercise for triangle star patterns: