Alphabeta Math
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23 results · all verified · 19 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 4 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Series: Convergence and the Nonnegative Tests

1 · Prerequisites

2 · Summary

A note on the notation ι\iota. A natural number here is a von Neumann natural, that is a set, so it is not an element of R\mathbb{R} and cannot be divided into 11. The canonical natural ι(n)=n1R\iota(n) = n \cdot 1_{\mathbb{R}} is the real number that nn names (Canonical naturals are positive and strictly increasing), so 1/ι(k+1)1/\iota(k+1) is what an informal text writes as 1/(k+1)1/(k+1); the shift by one is there because N\mathbb{N} contains 00 and ι(0)=0\iota(0) = 0.

Objective. A series is not a new kind of object. It is a sequence, namely the sequence of partial sums, looked at through the terms that generate it. This page makes that reduction precise in Series, partial sums, convergence and the sum, divergence, and the tail series and then spends itself on the one question the reduction leaves open: given the terms, and without ever computing the limit, how does one decide whether the partial sums converge?

Definition, and the index convention that runs through the page. Series, partial sums, convergence and the sum, divergence, and the tail series fixes the partial sums as sn=k<naks_n = \sum_{k<n} a_k, so that s0=0s_0 = 0 is the empty sum and sn+1=sn+ans_{n+1} = s_n + a_n is exactly the recursion of Finite sums and finite products, by recursion with no shift. Sequences in this library are functions on N\mathbb{N} and N\mathbb{N} contains 00 (Sequences of reals: bounded, eventually, frequently, tails, subsequences), while many classical series are built from expressions undefined at 00: 1/k1/k, 1/kp1/k^{p}, ak1/k|a_k|^{1/k}. So Series, partial sums, convergence and the sum, divergence, and the tail series also defines the series kmak\sum_{k \ge m} a_k of a family from a general starting index mm, as the series of the shifted sequence jaj+mj \mapsto a_{j+m}. Every statement on this page says which starting index it uses, and the ones that must start at 11 do.

The five general facts, true for terms of any sign. A series converges iff each of its tail series converges, and the sum splits as sNs_N plus the NN-th tail says convergence depends only on the terms from any index on, with the sum splitting as sNs_N plus the NN-th tail sum. If a series converges then its terms tend to 00 gives the necessary condition that the terms tend to 00, and FALSE: if ak0a_k \to 0 then ak\sum a_k converges records at once that it is not sufficient. A series converges iff for every ε>0\varepsilon > 0 there is NN with am+1++an<ε|a_{m+1} + \dots + a_n| < \varepsilon for all n>mNn > m \ge N is the sharp version: convergence is equivalent to a bound on every block am+1++ana_{m+1} + \dots + a_n with n>mNn > m \ge N, and it decides convergence without naming the sum. Convergent series add and scale termwise adds that convergent series may be added and scaled, and that scaling by a nonzero constant preserves both convergence and divergence. Finally If ak\sum |a_k| converges then ak\sum a_k converges proves that convergence of ak\sum |a_k| forces convergence of ak\sum a_k: the Cauchy criterion never asks for a sign, so the triangle inequality carries its hypothesis from the absolute values to the terms in one line. That is the only part of the theory of absolute convergence proved here, and it is the part the root and ratio tests need.

Two computable families. For r<1|r| < 1, k0rk=1/(1r)\sum_{k \ge 0} r^k = 1/(1-r), and for r1|r| \ge 1 the series diverges evaluates k0rk=1/(1r)\sum_{k \ge 0} r^{k} = 1/(1-r) for r<1|r| < 1 and shows divergence for r1|r| \ge 1; it is the comparison object behind the root and ratio tests. (bkbk+1)\sum (b_k - b_{k+1}) converges iff (bk)(b_k) converges, with sum b0limbkb_0 - \lim b_k handles (bkbk+1)\sum (b_k - b_{k+1}), whose partial sums are b0bnb_0 - b_n, and is the mechanism behind Kummer's test and the Abel-Dini theorem.

Where the sign hypothesis enters. A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum is the pivot of the page: for nonnegative terms the partial sums are nondecreasing, so convergence is exactly boundedness above of the partial sums, and the sum is their supremum. Every test that follows is an application of it. If 0akbk0 \le a_k \le b_k eventually, convergence of bk\sum b_k gives convergence of ak\sum a_k, and divergence of ak\sum a_k gives divergence of bk\sum b_k compares against an arbitrary series, For ak,bk>0a_k, b_k > 0 with ak/bkLa_k/b_k \to L: if L(0,)L \in (0,\infty) the two series share their behaviour, while L=0L = 0 and L=L = \infty give one implication each does the same through the quotient ak/bka_k/b_k, phrasing the infinite case as divergence to ++\infty (Divergence to ++\infty and to -\infty) rather than as an extended limit equation, and For a nonincreasing nonnegative sequence, ak\sum a_k converges iff 2ka2k\sum 2^k a_{2^k} converges reindexes instead of comparing, squeezing blocks of 2n2^{n} terms between 2n2^{n} copies of the first and 2n2^{n} copies of the last. Condensation settles the whole pp-series family at a stroke: For rational p>0p > 0, 1/kp\sum 1/k^p converges iff p>1p > 1 proves that k11/kp\sum_{k \ge 1} 1/k^{p} converges exactly when p>1p > 1, for every rational p>0p > 0, which is every exponent this page can name (Rational powers ara^r of a positive base).

The tests that read the terms against a geometric series. Root test: lim supak1/k<1\limsup |a_k|^{1/k} < 1 gives absolute convergence and hence convergence, >1> 1 gives divergence, and =1= 1 decides nothing and Ratio test: lim supak+1/ak<1\limsup |a_{k+1}/a_k| < 1 gives absolute convergence and hence convergence, and lim infak+1/ak>1\liminf |a_{k+1}/a_k| > 1 gives divergence are stated with lim sup\limsup and lim inf\liminf in R\overline{\mathbb{R}}, so their hypotheses always mean something (The tail suprema of any real sequence are nonincreasing in R\overline{\mathbb{R}}, so the limit superior exists for every sequence); the root family is written ak+11/(k+1)|a_{k+1}|^{1/(k+1)}, the shift of For ak>0a_k > 0: lim infak+1/aklim infak1/klim supak1/klim supak+1/ak\liminf a_{k+1}/a_k \le \liminf a_k^{1/k} \le \limsup a_k^{1/k} \le \limsup a_{k+1}/a_k, since ak1/k|a_k|^{1/k} is undefined at k=0k = 0. What the comparison with a geometric series delivers in each case is convergence of ak\sum |a_k|; If ak\sum |a_k| converges then ak\sum a_k converges carries it the rest of the way, so both tests are stated in their standard form, concluding convergence of ak\sum a_k itself. Whenever the ratio test decides, the root test decides the same way, and the converse fails reads the chain of For ak>0a_k > 0: lim infak+1/aklim infak1/klim supak1/klim supak+1/ak\liminf a_{k+1}/a_k \le \liminf a_k^{1/k} \le \limsup a_k^{1/k} \le \limsup a_{k+1}/a_k through the two tests: whenever the ratio test decides, the root test decides the same way, and the standard witness ak=2k+(1)ka_k = 2^{-k+(-1)^{k}} shows the converse fails. FALSE: lim supak+1/ak1\limsup |a_{k+1}/a_k| \ge 1 implies the series diverges records why the divergence half of the ratio test is stated with lim inf\liminf and a strict inequality.

The tests that read the rate at which the ratios approach 11. Kummer: for positive terms aka_k and weights ζk>0\zeta_k > 0, lim inf(ζkak/ak+1ζk+1)>0\liminf(\zeta_k a_k/a_{k+1} - \zeta_{k+1}) > 0 gives convergence, and if 1/ζk\sum 1/\zeta_k diverges while that expression is eventually 0\le 0 the series diverges is a family of criteria, one for each positive weight sequence (ζk)(\zeta_k), and its strength is the strength of the divergent series 1/ζk\sum 1/\zeta_k it carries. Positivity of the terms is load bearing there, not a normalisation: with ζk=1\zeta_k = 1 the convergent series (1/2)k\sum (-1/2)^{k} satisfies every hypothesis of the divergence half, so the half is false without it. Constant weights recover the ratio test (Kummer with ζk=1\zeta_k = 1 recovers the ratio test) and the weights k+1k+1 give Raabe is Kummer with ζk=k+1\zeta_k = k+1: for positive terms, lim inf(k+1)(ak/ak+11)>1\liminf\, (k+1)(a_k/a_{k+1} - 1) > 1 gives convergence and lim sup<1\limsup < 1 gives divergence, whose comparison series is the harmonic one. Gauss: for positive terms, if ak/ak+1=1+h/k+rka_k/a_{k+1} = 1 + h/k + r_k with rkCk1ε|r_k| \le C\,k^{-1-\varepsilon} for k1k \ge 1, some constant CC and some rational ε>0\varepsilon > 0, the series converges iff h>1h > 1 covers the case Raabe leaves open: under the expansion ak/ak+1=1+h/k+rka_k/a_{k+1} = 1 + h/k + r_k with rkCk1ε|r_k| \le C k^{-1-\varepsilon} the series converges exactly when h>1h > 1, and the borderline h=1h = 1 is proved divergent without any logarithm, by a telescoping product estimate that bounds kakk a_k below by a constant.

The hierarchy has no last term. For a divergent series of positive terms with partial sums sks_k, the series ak/sk\sum a_k/s_k diverges and ak/sk2\sum a_k/s_k^2 converges divides the terms of a divergent series of positive terms by the running total, producing a series that still diverges, and by the square of the running total, producing one that converges. FALSE: there is a divergent series of positive terms that diverges more slowly than every other, hence a universal comparison test draws the consequence: the first of those has eventually smaller terms than the series it came from, so no divergent series of positive terms is slowest, no comparison test is universal, and the sequence of refinements on this page cannot terminate. How the nonnegative tests are ordered by strength, and which of them this page cannot state without the logarithm collects exactly which comparisons are proved here, which are deliberately not claimed, and which classical tests, Bertrand's and the integral test among them, cannot even be stated at this point because the logarithm and the integral do not yet exist in this library.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

Series, partial sums, convergence and the sum, divergence, and the tail series

Definition

Throughout, R\mathbb{R} is the complete ordered field (The real numbers) and a sequence of reals is a function a:NRa : \mathbb{N} \to \mathbb{R} (Sequences of reals: bounded, eventually, frequently, tails, subsequences), written (ak)(a_k); recall that N\mathbb{N} contains 00.

Partial sums. Let (ak)(a_k) be a sequence of reals. Its sequence of partial sums is

sn  :=  k<nak(nN),s_n \;:=\; \sum_{k < n} a_k \qquad (n \in \mathbb{N}),

the finite sum of Finite sums and finite products, by recursion. In particular s0=0s_0 = 0, the empty sum, and sn+1=sn+ans_{n+1} = s_n + a_n for every nn, those being exactly the two recursion clauses that define the finite sum. Note that sns_n is the sum of the nn terms a0,,an1a_0, \dots, a_{n-1}, so the index nn counts terms rather than naming the last one.

Convergence, the sum, divergence. The series of (ak)(a_k), written ak\sum a_k, converges when the sequence (sn)(s_n) of partial sums converges (Limits and Cauchy sequences of reals), and then the sum of the series is

k=0ak  :=  limnsn.\sum_{k=0}^{\infty} a_k \;:=\; \lim_{n} s_n .

The series diverges when (sn)(s_n) does not converge. A convergent sequence of reals has exactly one limit (A sequence has at most one limit), so the displayed symbol names a single real number and nothing further has to be checked for it to be well defined.

Series with a general starting index. Let mNm \in \mathbb{N} and let aa be a function on {kN:km}\{\, k \in \mathbb{N} : k \ge m \,\}, which we call a family from mm and write (ak)km(a_k)_{k \ge m}. The series

kmak\sum_{k \ge m} a_k

is by definition the series of the sequence bj:=aj+mb_j := a_{j + m}, jNj \in \mathbb{N}, which is a genuine sequence of reals; it converges exactly when that series converges, and its sum is then written k=mak\sum_{k = m}^{\infty} a_k. Its partial sums are

k=mn1ak  =  j<nmam+j(nm),\sum_{k=m}^{n-1} a_k \;=\; \sum_{j < n-m} a_{m+j} \qquad (n \ge m),

in the notation of Finite sums and finite products, by recursion, the value at n=mn = m being the empty sum 00. A sequence on N\mathbb{N} is the case m=0m = 0, and the two readings of ak\sum a_k agree there, since bj=ajb_j = a_j.

This clause is not a convenience. Sequences in this library are functions on N\mathbb{N} and N\mathbb{N} contains 00 (Sequences of reals: bounded, eventually, frequently, tails, subsequences), while many of the classical series are built from expressions that are undefined at the index 00: 1/k1/k, 1/kp1/k^{p} and ak1/k|a_k|^{1/k} all require k1k \ge 1. Writing such a series as k1ak\sum_{k \ge 1} a_k names an honest object, whereas writing it as a sequence on N\mathbb{N} would require a value at an index where the defining expression has none. Every statement on this page says which starting index it uses.

Tail series. For NNN \in \mathbb{N}, the NN-th tail series of ak\sum a_k is kNak\sum_{k \ge N} a_k, that is the series of the NN-th tail a(N)a^{(N)} of Sequences of reals: bounded, eventually, frequently, tails, subsequences, whose terms are aj(N)=aj+Na^{(N)}_j = a_{j+N}. The 00-th tail series is the series itself.

Remarks

  • "Diverges" here means "does not converge", and nothing more. A divergent series may have partial sums that run away to ++\infty, or to -\infty, or that oscillate without settling anywhere. The three behaviours are not distinguished by the word, and no statement on this page uses "diverges" to mean "the partial sums are unbounded" unless it says so.

  • The symbol k=0ak\sum_{k=0}^{\infty} a_k is defined only for a convergent series. It denotes a real number, not a formal object, and it is illegitimate to write it down before convergence has been established. Where a proof needs to speak of the series without knowing whether it converges, it speaks of (ak)(a_k) and of (sn)(s_n).

  • Two indices, doing different work. The index kk runs over the terms and is bound; the index nn runs over the partial sums and is the variable in which the limit is taken. Confusing them is the commonest slip in the subject, and it is the reason the definition above fixes sn=k<naks_n = \sum_{k<n} a_k rather than knak\sum_{k \le n} a_k: with this choice the recursion sn+1=sn+ans_{n+1} = s_n + a_n is the one supplied by Finite sums and finite products, by recursion, with no shift anywhere.

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

A series converges iff each of its tail series converges, and the sum splits as sNs_N plus the NN-th tail

Statement

Let (ak)(a_k) be a sequence of reals with partial sums sn=k<naks_n = \sum_{k<n} a_k, let NNN \in \mathbb{N}, and let tj:=i<jaN+it_j := \sum_{i<j} a_{N+i} be the partial sums of the NN-th tail series kNak\sum_{k \ge N} a_k (Series, partial sums, convergence and the sum, divergence, and the tail series). Then:

  1. tj=sj+NsNt_j = s_{j+N} - s_N for every jNj \in \mathbb{N};
  2. ak\sum a_k converges if and only if its NN-th tail series converges, and in that case k=0ak  =  sN  +  k=Nak;\sum_{k=0}^{\infty} a_k \;=\; s_N \;+\; \sum_{k=N}^{\infty} a_k ;
  3. hence the following are equivalent: ak\sum a_k converges; every tail series of ak\sum a_k converges; some tail series of ak\sum a_k converges.

In words: convergence of a series is a property of its terms from any index on, and changing finitely many terms changes the sum but not the fact of convergence.

Facts & Assumptions

Given: A sequence (ak)(a_k) of reals, a natural number NN, the partial sums sn=k<naks_n = \sum_{k<n} a_k and the partial sums tj=i<jaN+it_j = \sum_{i<j} a_{N+i} of the NN-th tail series (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).

[L1]

Splitting of finite sums: if mnm \le n then k<nak=k<mak+k=mn1ak\sum_{k<n} a_k = \sum_{k<m} a_k + \sum_{k=m}^{n-1} a_k (Laws of finite sums and finite products), and k=mn1ak\sum_{k=m}^{n-1} a_k is by definition i<nmam+i\sum_{i<n-m} a_{m+i} (Finite sums and finite products, by recursion).

[L2]

Convergence depends only on the tail: a sequence (xn)(x_n) converges to xx if and only if its NN-th tail (xj+N)j(x_{j+N})_{j} converges to xx (Convergence depends only on the tail, Sequences of reals: bounded, eventually, frequently, tails, subsequences).

[L3]

Algebra of limits: if xjxx_j \to x and yjyy_j \to y then xj+yjx+yx_j + y_j \to x + y and xjyjxyx_j - y_j \to x - y (Algebra of limits: sums, scalar multiples, products and quotients).

[L4]

A constant sequence yj=cy_j = c converges to cc, immediately from the definition of a limit (Limits and Cauchy sequences of reals).

Proof

technique · direct
1.1

Fix jNj \in \mathbb{N} and put n:=j+Nn := j + N, so that NnN \le n and nN=jn - N = j.

given
1.2

The family (sj+N)jN(s_{j+N})_{j \in \mathbb{N}} is the NN-th tail of the sequence (sn)(s_n) of partial sums.

givenL2
2.1

Splitting the partial sum sns_n at NN gives sn=k<Nak+k=Nn1ak=sN+i<jaN+i=sN+tjs_n = \sum_{k<N} a_k + \sum_{k=N}^{n-1} a_k = s_N + \sum_{i<j} a_{N+i} = s_N + t_j.

step 1.1L1
2.2

Suppose ak\sum a_k converges, say snSs_n \to S; then the NN-th tail (sj+N)j(s_{j+N})_j converges to SS.

givenstep 1.2L2
3.1

Claim 1 follows: tj=sj+NsNt_j = s_{j+N} - s_N for every jNj \in \mathbb{N}.

step 2.1algebra
4.1

The constant sequence with value sNs_N converges to sNs_N, so tj=sj+NsNSsNt_j = s_{j+N} - s_N \to S - s_N, and the NN-th tail series converges with sum SsNS - s_N.

step 2.2step 3.1L3L4
4.2

Conversely, suppose the NN-th tail series converges, say tjTt_j \to T; then sj+N=sN+tjsN+Ts_{j+N} = s_N + t_j \to s_N + T by the same two rules.

step 3.1L3L4
5.1

So the NN-th tail of (sn)(s_n) converges to sN+Ts_N + T, hence (sn)(s_n) itself converges to sN+Ts_N + T and ak\sum a_k converges.

step 4.2step 1.2L2
6.1

Claim 2 follows: the two convergences are equivalent, and when they hold the sums are related by S=sN+TS = s_N + T, which is the displayed identity.

step 4.1step 5.1algebra
7.1

Claim 3 follows as well: if ak\sum a_k converges then by claim 2 every tail series converges; every tail series converging trivially gives some tail series converging, the family of tails being indexed by all of N\mathbb{N}; and if some tail series, say the NN-th, converges then by claim 2 again ak\sum a_k converges.

step 6.1

Remarks

  • Where the hypothesis-free character comes from. Nothing here assumes the terms have a sign or that any series converges: claim 1 is an identity between finite sums, valid always, and claims 2 and 3 are read off from it by two standard limit rules. That is why the lemma may be used to move between a series and its tails inside proofs that have not yet decided the convergence question.

  • The sum does change. Only the fact of convergence is tail invariant. The identity in claim 2 is the exact bookkeeping: discarding the first NN terms lowers the sum by sNs_N, and no more.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

If a series converges then its terms tend to 00

Statement

Let (ak)(a_k) be a sequence of reals. If the series ak\sum a_k converges (Series, partial sums, convergence and the sum, divergence, and the tail series) then the sequence (ak)(a_k) converges (Limits and Cauchy sequences of reals), with

limkak  =  0.\lim_{k} a_k \;=\; 0 .

Equivalently, in the contrapositive form in which the lemma is almost always used: if (ak)(a_k) does not converge to 00 then ak\sum a_k diverges.

The same statement holds for a series kmak\sum_{k \ge m} a_k with a general starting index, with the conclusion that (aj+m)jN(a_{j+m})_{j \in \mathbb{N}} converges to 00: that series is by definition the series of the sequence bj=aj+mb_j = a_{j+m} (Series, partial sums, convergence and the sum, divergence, and the tail series), so it is the statement above applied to (bj)(b_j).

The converse is false; it is refuted by FALSE: if ak0a_k \to 0 then ak\sum a_k converges.

Facts & Assumptions

Given: A sequence (ak)(a_k) of reals whose series converges, with partial sums sn=k<naks_n = \sum_{k<n} a_k (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).

[L1]

The recursion clause of the finite sum: sn+1=sn+ans_{n+1} = s_n + a_n for every nNn \in \mathbb{N} (Finite sums and finite products, by recursion, Series, partial sums, convergence and the sum, divergence, and the tail series).

[L2]

Convergence depends only on the tail: if (xn)(x_n) converges to xx then so does its 11-st tail (xn+1)n(x_{n+1})_{n} (Convergence depends only on the tail, Sequences of reals: bounded, eventually, frequently, tails, subsequences).

[L3]

Algebra of limits: if xnxx_n \to x and ynyy_n \to y then xnynxyx_n - y_n \to x - y (Algebra of limits: sums, scalar multiples, products and quotients).

Proof

technique · direct
1.1

The sequence (sn+1)nN(s_{n+1})_{n \in \mathbb{N}} is the 11-st tail of (sn)(s_n), and it converges to SS.

A1L2
1.2

From the recursion clause, an=sn+1sna_n = s_{n+1} - s_n for every nNn \in \mathbb{N}.

L1algebra
2.1

Hence (an)(a_n) is the difference of two sequences converging to SS, so it converges to SS=0S - S = 0.

step 1.1step 1.2A1L3
3.1

That is the claim, and its contrapositive is the assertion that a series whose terms do not tend to 00 diverges.

step 2.1

Remarks

  • This is a necessary condition and never a sufficient one. It rules a series out; it never rules one in. The harmonic series has terms tending to 00 and diverges, which is exactly the content of FALSE: if ak0a_k \to 0 then ak\sum a_k converges.

  • What the proof actually uses. Only that the partial sums converge and that consecutive partial sums differ by a term. No sign hypothesis is placed on (ak)(a_k), and none is available at this point on the page.

TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

A series converges iff for every ε>0\varepsilon > 0 there is NN with am+1++an<ε|a_{m+1} + \dots + a_n| < \varepsilon for all n>mNn > m \ge N

Statement

Let (ak)(a_k) be a sequence of reals, with partial sums sn=k<naks_n = \sum_{k<n} a_k (Series, partial sums, convergence and the sum, divergence, and the tail series). Then ak\sum a_k converges if and only if

for every real ε>0 there is NN such that k=m+1nak<ε for all n>mN.\text{for every real } \varepsilon > 0 \text{ there is } N \in \mathbb{N} \text{ such that } \Big| \sum_{k=m+1}^{n} a_k \Big| < \varepsilon \text{ for all } n > m \ge N .

The block k=m+1nak\sum_{k=m+1}^{n} a_k is the finite sum am+1++ana_{m+1} + \dots + a_n of Finite sums and finite products, by recursion, and it equals sn+1sm+1s_{n+1} - s_{m+1}.

This is the Cauchy criterion transported from sequences to series. Its value is that it decides convergence without producing, or even naming, the sum.

Facts & Assumptions

Given: A sequence (ak)(a_k) of reals with partial sums sn=k<naks_n = \sum_{k<n} a_k (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).

[L1]

Splitting of finite sums: if mnm' \le n' then k<nak=k<mak+k=mn1ak\sum_{k<n'} a_k = \sum_{k<m'} a_k + \sum_{k=m'}^{n'-1} a_k (Laws of finite sums and finite products, Finite sums and finite products, by recursion).

[L2]

Every convergent sequence of reals is Cauchy (Every convergent sequence is Cauchy).

[L4]

Cauchyness reads: for every rational ε>0\varepsilon > 0 there is KK with spsq<ε|s_p - s_q| < \varepsilon for all p,qKp, q \ge K (Limits and Cauchy sequences of reals). Rational and real tolerances give the same condition, because every real ε>0\varepsilon > 0 exceeds some rational 1/n1/n with n1n \ge 1 natural (For every ε>0\varepsilon > 0 in a complete ordered field there is a natural n1n \ge 1 with 1/n<ε1/n < \varepsilon), and conversely every positive rational is a positive real.

Proof

technique · direct
1.1

For all naturals m<nm < n, splitting sn+1s_{n+1} at the index m+1n+1m+1 \le n+1 gives sn+1=sm+1+k=m+1naks_{n+1} = s_{m+1} + \sum_{k=m+1}^{n} a_k, hence k=m+1nak=sn+1sm+1\sum_{k=m+1}^{n} a_k = s_{n+1} - s_{m+1}.

L1algebra
1.2

Conversely, every pair p>q1p > q \ge 1 of naturals is of the form p=n+1p = n+1, q=m+1q = m+1 with n=p1>m=q10n = p - 1 > m = q - 1 \ge 0.

givenalgebra
1.3

Suppose ak\sum a_k converges, that is (sn)(s_n) converges; then (sn)(s_n) is Cauchy.

givenL2
1.4

Suppose conversely that the stated condition holds, and let a rational ε>0\varepsilon > 0 be given; take NN for ε\varepsilon as in the condition and put K:=N+1K := N + 1.

givenchoose
2.1

Let a real ε>0\varepsilon > 0 be given, choose a rational ε\varepsilon' with 0<ε<ε0 < \varepsilon' < \varepsilon, and take KK for ε\varepsilon' as in the Cauchy condition; put N:=KN := K.

step 1.3L4choose
2.2

Let p,qKp, q \ge K. If p=qp = q then spsq=0<ε|s_p - s_q| = 0 < \varepsilon; otherwise one of them exceeds the other, and by symmetry we may take p>qK1p > q \ge K \ge 1.

step 1.4algebra
3.1

For all n>mNn > m \ge N one has n+1>m+1Kn + 1 > m + 1 \ge K, so k=m+1nak=sn+1sm+1<ε<ε\big|\sum_{k=m+1}^{n} a_k\big| = |s_{n+1} - s_{m+1}| < \varepsilon' < \varepsilon, which is the stated condition.

step 2.1step 1.1L4
3.2

Writing p=n+1p = n+1 and q=m+1q = m+1 gives n>mn > m and m=q1K1=Nm = q - 1 \ge K - 1 = N, so the condition applies and spsq=k=m+1nak<ε|s_p - s_q| = \big|\sum_{k=m+1}^{n} a_k\big| < \varepsilon.

step 2.2step 1.2step 1.1step 1.4
4.1

So (sn)(s_n) is Cauchy, hence converges, hence ak\sum a_k converges.

step 2.2step 3.2L4L3
5.1

The two implications together are the stated equivalence.

step 3.1step 4.1

Remarks

  • The criterion is stated over blocks, not over partial sums, on purpose. In applications one estimates a run of consecutive terms am+1,,ana_{m+1}, \dots, a_n directly; the translation into sn+1sm+1|s_{n+1} - s_{m+1}| is step 1.1 and is done once here so that no later proof has to repeat it.

  • Taking n=m+1n = m+1 recovers the term test. The single-term block gives am+1<ε|a_{m+1}| < \varepsilon for all mNm \ge N, which is ak0a_k \to 0; so If a series converges then its terms tend to 00 is the weakest consequence of this criterion. The criterion is strictly stronger, since it constrains arbitrarily long blocks and not only single terms.

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

Convergent series add and scale termwise

Statement

Let (ak)(a_k) and (bk)(b_k) be sequences of reals whose series converge (Series, partial sums, convergence and the sum, divergence, and the tail series), and let cRc \in \mathbb{R}. Then:

  1. (ak+bk)\sum (a_k + b_k) converges, with k=0(ak+bk)=k=0ak+k=0bk\displaystyle\sum_{k=0}^{\infty}(a_k + b_k) = \sum_{k=0}^{\infty} a_k + \sum_{k=0}^{\infty} b_k;
  2. cak\sum c\,a_k converges, with k=0cak=ck=0ak\displaystyle\sum_{k=0}^{\infty} c\,a_k = c \sum_{k=0}^{\infty} a_k.

Moreover, for c0c \ne 0 and an arbitrary sequence (ak)(a_k), whose series is not assumed to converge:

  1. cak\sum c\,a_k converges if and only if ak\sum a_k converges. Equivalently, ak\sum a_k diverges if and only if cak\sum c\,a_k diverges.

Claim 3 is the form used whenever a comparison is made against a constant multiple of a known series.

Facts & Assumptions

Given: Sequences (ak)(a_k), (bk)(b_k) of reals and cRc \in \mathbb{R}, with partial sums sn=k<naks_n = \sum_{k<n} a_k and tn=k<nbkt_n = \sum_{k<n} b_k (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).

[L1]

Additivity and scaling of finite sums: k<n(ak+bk)=k<nak+k<nbk\sum_{k<n}(a_k + b_k) = \sum_{k<n} a_k + \sum_{k<n} b_k and k<ncak=ck<nak\sum_{k<n} c\,a_k = c \sum_{k<n} a_k (Laws of finite sums and finite products).

[L2]

Algebra of limits: if xnxx_n \to x and ynyy_n \to y then xn+ynx+yx_n + y_n \to x + y and cxncxc\,x_n \to c\,x (Algebra of limits: sums, scalar multiples, products and quotients).

Proof

technique · direct
1.1

The partial sums of (ak+bk)\sum (a_k + b_k) are k<n(ak+bk)=sn+tn\sum_{k<n}(a_k + b_k) = s_n + t_n, and those of cak\sum c\,a_k are k<ncak=csn\sum_{k<n} c\,a_k = c\,s_n.

givenL1
1.2

Assume ak\sum a_k and bk\sum b_k converge, say snSs_n \to S and tnTt_n \to T.

given
2.1

Then sn+tnS+Ts_n + t_n \to S + T, so (ak+bk)\sum(a_k + b_k) converges with sum S+TS + T, which is claim 1.

step 1.2step 1.1L2
2.2

Likewise csncSc\,s_n \to c\,S, so cak\sum c\,a_k converges with sum cSc\,S, which is claim 2.

step 1.2step 1.1L2
3.1

For claim 3, let c0c \ne 0 and let (ak)(a_k) be arbitrary. If ak\sum a_k converges then cak\sum c\,a_k converges by claim 2.

step 2.2
3.2

Conversely, if cak\sum c\,a_k converges then applying claim 2 to the sequence (cak)(c\,a_k) and the scalar 1/c1/c, which exists since c0c \ne 0, shows that (1/c)(cak)=ak\sum (1/c)(c\,a_k) = \sum a_k converges.

step 2.2algebra
4.1

The two implications are claim 3, and its contrapositive form is the statement about divergence.

step 3.1step 3.2

Remarks

  • There is no product rule here, and there is no rule for akbk\sum a_k b_k. The proof works because a finite sum is additive and homogeneous, and neither property has an analogue for products. Multiplying series is a genuinely harder question, requiring absolute convergence, and it is not treated on this page.

  • Claim 3 needs c0c \ne 0 and nothing else. In particular it does not need either series to converge, which is what makes it usable in the divergence direction: scaling a divergent series by a nonzero constant leaves it divergent.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

If ak\sum |a_k| converges then ak\sum a_k converges

Statement

Let (ak)(a_k) be a sequence of reals. If the series ak\sum |a_k| converges (Series, partial sums, convergence and the sum, divergence, and the tail series) then the series ak\sum a_k converges.

A series with the property that ak\sum |a_k| converges is called absolutely convergent; the lemma says that absolute convergence implies convergence.

The same statement holds for a family from a general starting index mm, being this statement applied to the shifted sequence jaj+mj \mapsto a_{j+m} (Series, partial sums, convergence and the sum, divergence, and the tail series).

The converse is false, and the standard witness is the alternating harmonic series. That witness is not available on this page: its convergence is the alternating series test, which is not proved here. Nothing below asserts a converse, and no item on this page uses one.

Facts & Assumptions

Given: A sequence (ak)(a_k) of reals such that the series ak\sum |a_k| converges, with partial sums as in Series, partial sums, convergence and the sum, divergence, and the tail series and finite sums as in Finite sums and finite products, by recursion.

[L1]

The Cauchy criterion for series: dk\sum d_k converges if and only if for every real ε>0\varepsilon > 0 there is NNN \in \mathbb{N} with k=p+1ndk<ε\big|\sum_{k=p+1}^{n} d_k\big| < \varepsilon for all n>pNn > p \ge N (A series converges iff for every ε>0\varepsilon > 0 there is NN with am+1++an<ε|a_{m+1} + \dots + a_n| < \varepsilon for all n>mNn > m \ge N, Series, partial sums, convergence and the sum, divergence, and the tail series).

[L2]

Triangle inequality for finite sums: k<dukk<duk\big|\sum_{k<d} u_k\big| \le \sum_{k<d}|u_k| (Triangle inequality for finite sums); the block k=p+1nuk\sum_{k=p+1}^{n} u_k is by definition the finite sum t<npup+1+t\sum_{t < n-p} u_{p+1+t} (Finite sums and finite products, by recursion), so applying the inequality to the shifted sequence tup+1+tt \mapsto u_{p+1+t} gives k=p+1nukk=p+1nuk\big|\sum_{k=p+1}^{n} u_k\big| \le \sum_{k=p+1}^{n} |u_k| for all naturals n>pn > p.

[L3]

Monotonicity of finite sums: if xt0x_t \ge 0 for all t<dt < d then t<dxt0\sum_{t<d} x_t \ge 0 (Laws of finite sums and finite products).

[L4]

Absolute value: u0|u| \ge 0 for every real uu, and u=u|u| = u whenever u0u \ge 0 (Basic properties of the absolute value).

[L5]

Convergence of a real sequence, and the fact that the real and rational formulations of a tolerance agree (Limits and Cauchy sequences of reals).

Proof

technique · direct
1.1

Let ε>0\varepsilon > 0 be an arbitrary real; since ak\sum |a_k| converges, the Cauchy criterion applied to the sequence (ak)(|a_k|) supplies NNN \in \mathbb{N} with k=p+1nak<ε\big|\sum_{k=p+1}^{n} |a_k|\big| < \varepsilon for all n>pNn > p \ge N.

L1L5choose
1.2

For all naturals n>pn > p the block k=p+1nak\sum_{k=p+1}^{n} |a_k| is a finite sum of nonnegative terms, hence nonnegative, hence equal to its own absolute value.

L2L3L4
2.1

So for all n>pNn > p \ge N one has k=p+1nakk=p+1nak=k=p+1nak<ε\big|\sum_{k=p+1}^{n} a_k\big| \le \sum_{k=p+1}^{n} |a_k| = \big|\sum_{k=p+1}^{n} |a_k|\big| < \varepsilon.

step 1.1step 1.2L2
3.1

As ε>0\varepsilon > 0 was arbitrary, the sequence (ak)(a_k) satisfies the Cauchy criterion, so ak\sum a_k converges.

step 2.1L1

Remarks

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

For r<1|r| < 1, k0rk=1/(1r)\sum_{k \ge 0} r^k = 1/(1-r), and for r1|r| \ge 1 the series diverges

Statement

Let rRr \in \mathbb{R} and let rkr^k be the integer power (Integer powers ama^m), so that r0=1r^0 = 1 for every rr, including r=0r = 0.

  1. If r<1|r| < 1 then the series rk\sum r^k converges (Series, partial sums, convergence and the sum, divergence, and the tail series) and k=0rk  =  11r.\sum_{k=0}^{\infty} r^{k} \;=\; \frac{1}{1-r} .
  2. If r1|r| \ge 1 then rk\sum r^k diverges.

The series starts at k=0k = 0 and its first term is r0=1r^0 = 1; in particular k=02k=2\sum_{k=0}^{\infty} 2^{-k} = 2, while the series starting at k=1k = 1 sums to 11. Which starting index is meant has to be said, and it is said here.

Facts & Assumptions

Given: A real number rr, the integer powers rkr^k (Integer powers ama^m), and the partial sums sn=k<nrks_n = \sum_{k<n} r^k of rk\sum r^k (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).

[L1]

Factorisation of a difference of powers: for a,bRa, b \in \mathbb{R} and natural n1n \ge 1, bnan=(ba)k=0n1akbn1kb^n - a^n = (b-a)\sum_{k=0}^{n-1} a^k b^{\,n-1-k} (Factorisation of bnanb^n - a^n, and the resulting Lipschitz estimate).

[L3]

Algebra of limits: sums, differences and quotients of convergent sequences converge to the corresponding combination, the quotient rule requiring a nonzero limit and nonzero denominators (Algebra of limits: sums, scalar multiples, products and quotients, Limits and Cauchy sequences of reals).

[L4]

Absolute value: xy=xy|xy| = |x|\,|y|, x0|x| \ge 0, and x=0|x| = 0 exactly when x=0x = 0; also 1=1|1| = 1, since 1>01 > 0 (Basic properties of the absolute value).

[L5]

Powers and order: a0=1a^0 = 1 for every aa; if a1a \ge 1 and n1n \ge 1 then ana1a^n \ge a \ge 1; and 1n=11^n = 1 for every nn (Monotonicity of xxnx \mapsto x^n and of nann \mapsto a^n, Integer powers ama^m).

[L6]

The principle of induction (The principle of mathematical induction).

[L7]

If a series converges then its terms tend to 00 (If a series converges then its terms tend to 00).

[L8]

Notation of Finite sums and finite products, by recursion: k=0n1xk\sum_{k=0}^{n-1} x_k is k<nxk\sum_{k<n} x_k, and the empty sum k<0xk\sum_{k<0} x_k is 00.

Proof

technique · cases
1.1

Assume r<1|r| < 1.

assume-case lt
1.2

Assume instead r1|r| \ge 1.

assume-case ge
1.3

For every natural n1n \ge 1, applying [L1] with b=1b = 1 and a=ra = r gives 1rn=(1r)k=0n1rk1n1k=(1r)sn1 - r^n = (1-r)\sum_{k=0}^{n-1} r^k \cdot 1^{\,n-1-k} = (1-r)\,s_n, using 1m=11^m = 1 and the notation of [L8].

L1L5L8
1.4

At n=0n = 0 the identity 1rn=(1r)sn1 - r^n = (1-r)s_n also holds, both sides being 00 because r0=1r^0 = 1 and s0s_0 is the empty sum.

L5L8
2.1

In the case r<1|r| < 1 we have r1r \ne 1, since 1=1|1| = 1 and r<1|r| < 1; hence 1r01 - r \ne 0.

step 1.1L4algebra
2.2

In the case r1|r| \ge 1, an induction gives rk=rk|r^k| = |r|^k for every kNk \in \mathbb{N}: at k=0k = 0 both sides are 11, and if rk=rk|r^k| = |r|^k then rk+1=rkr=rkr=rkr=rk+1|r^{k+1}| = |r^k \cdot r| = |r^k|\,|r| = |r|^k |r| = |r|^{k+1}.

step 1.2L4L5L6
2.3

In the case r1|r| \ge 1 we get rk1|r|^k \ge 1 for every kNk \in \mathbb{N}: at k=0k = 0 this reads 111 \ge 1, and for k1k \ge 1 it is the comparison rkr1|r|^k \ge |r| \ge 1.

step 1.2L5
3.1

In the case r<1|r| < 1, dividing by 1r01 - r \ne 0 gives sn=(1rn)/(1r)s_n = (1 - r^n)/(1-r) for every nNn \in \mathbb{N}.

step 2.1step 1.3step 1.4algebra
3.2

In the case r1|r| \ge 1, combining the two previous steps gives rk0=rk=rk1|r^k - 0| = |r^k| = |r|^k \ge 1 for every kNk \in \mathbb{N}.

step 2.2step 2.3
4.1

In the case r<1|r| < 1 the sequence (rn)(r^n) is null, so 1rn11 - r^n \to 1 and therefore sn1/(1r)s_n \to 1/(1-r), the denominator being the nonzero constant 1r1-r; hence rk\sum r^k converges with sum 1/(1r)1/(1-r), which is claim 1.

step 1.1step 3.1step 2.1L2L3
4.2

In the case r1|r| \ge 1 the sequence (rk)(r^k) does not converge to 00, since the rational tolerance ε=1\varepsilon = 1 admits no index KK with rk0<1|r^k - 0| < 1 for all kKk \ge K; so by the term test rk\sum r^k diverges, which is claim 2.

step 3.2L7
5.1

The two cases r<1|r| < 1 and r1|r| \ge 1 exhaust the possibilities, since the order on R\mathbb{R} is total, so claims 1 and 2 together cover every real rr.

step 4.1step 4.2cases-exhaustive

Remarks

  • The divergence half needs no separate treatment of r=1r = 1 and r=1r = -1. Both are covered by r1|r| \ge 1, and the single reason is the same in every case: the terms have absolute value at least 11, so they cannot tend to 00. For r=1r = 1 the partial sums are sn=ns_n = n and run to ++\infty; for r=1r = -1 they oscillate between 00 and 11. The theorem says only that neither converges, which is all that "diverges" means here (Series, partial sums, convergence and the sum, divergence, and the tail series).

  • Why the identity is proved at n=0n = 0 separately. Factorisation of bnanb^n - a^n, and the resulting Lipschitz estimate requires n1n \ge 1, since its right-hand side is a sum over k<nk < n of a term involving bn1kb^{\,n-1-k}, and n1n-1 is not a natural number at n=0n = 0. The identity is still true at n=0n = 0, but by inspection of two empty objects rather than by that lemma, and step 1.4 says so rather than letting the reader assume the citation covers it.

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

(bkbk+1)\sum (b_k - b_{k+1}) converges iff (bk)(b_k) converges, with sum b0limbkb_0 - \lim b_k

Statement

Let (bk)(b_k) be a sequence of reals and put ak:=bkbk+1a_k := b_k - b_{k+1}. Then the partial sums of ak\sum a_k are

sn  =  k<n(bkbk+1)  =  b0bn(nN),s_n \;=\; \sum_{k<n} (b_k - b_{k+1}) \;=\; b_0 - b_n \qquad (n \in \mathbb{N}),

and consequently ak\sum a_k converges (Series, partial sums, convergence and the sum, divergence, and the tail series) if and only if (bk)(b_k) converges (Limits and Cauchy sequences of reals), in which case

k=0(bkbk+1)  =  b0limkbk.\sum_{k=0}^{\infty} (b_k - b_{k+1}) \;=\; b_0 - \lim_{k} b_k .

For a family from a general starting index mm the same statement holds with b0b_0 replaced by bmb_m, being this statement applied to the shifted sequence jbj+mj \mapsto b_{j+m} (Series, partial sums, convergence and the sum, divergence, and the tail series).

Facts & Assumptions

Given: A sequence (bk)(b_k) of reals, the sequence ak:=bkbk+1a_k := b_k - b_{k+1}, and the partial sums sn=k<naks_n = \sum_{k<n} a_k (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).

[L1]

Telescoping of finite sums: k<n(ck+1ck)=cnc0\sum_{k<n}(c_{k+1} - c_k) = c_n - c_0 for every sequence (ck)(c_k) of reals and every nNn \in \mathbb{N} (Laws of finite sums and finite products).

[L2]

Algebra of limits: if xnxx_n \to x and ynyy_n \to y then xnynxyx_n - y_n \to x - y (Algebra of limits: sums, scalar multiples, products and quotients).

[L3]

A constant sequence with value cc converges to cc (Limits and Cauchy sequences of reals).

Proof

technique · direct
1.1

Apply [L1] to the sequence ck:=bkc_k := -b_k: it gives k<n(bk+1(bk))=bn(b0)\sum_{k<n}(-b_{k+1} - (-b_k)) = -b_n - (-b_0), that is k<n(bkbk+1)=b0bn\sum_{k<n}(b_k - b_{k+1}) = b_0 - b_n.

L1algebra
2.1

So sn=b0bns_n = b_0 - b_n for every nNn \in \mathbb{N}, and equivalently bn=b0snb_n = b_0 - s_n.

step 1.1algebra
3.1

Suppose (bk)(b_k) converges, say bnBb_n \to B; then sn=b0bnb0Bs_n = b_0 - b_n \to b_0 - B, so ak\sum a_k converges with sum b0Bb_0 - B.

step 2.1L2L3
3.2

Suppose conversely that ak\sum a_k converges, say snSs_n \to S; then bn=b0snb0Sb_n = b_0 - s_n \to b_0 - S, so (bk)(b_k) converges.

step 2.1L2L3
4.1

The two implications give the stated equivalence, and in the convergent case step 3.1 gives the sum b0limkbkb_0 - \lim_k b_k.

step 3.1step 3.2

Remarks

  • The first term of (bk)(b_k) survives and the rest cancel. That is the whole content, and it is where an off-by-one error is easiest to make: the sum is b0limbkb_0 - \lim b_k and not b1limbkb_1 - \lim b_k, because the partial sum sn=k<ns_n = \sum_{k<n} starts at k=0k = 0 (Series, partial sums, convergence and the sum, divergence, and the tail series). A series written from k=1k = 1 telescopes to b1limbkb_1 - \lim b_k instead.

  • No sign or monotonicity hypothesis is used. The lemma is an identity between finite sums followed by one limit rule, so it applies to sequences (bk)(b_k) of any sign and is not restricted to the decreasing case in which telescoping series usually appear.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum

Statement

Let (ak)(a_k) be a sequence of reals with ak0a_k \ge 0 for every kNk \in \mathbb{N}, let sn=k<naks_n = \sum_{k<n} a_k be its partial sums and let S={sn:nN}S = \{\, s_n : n \in \mathbb{N} \,\} be the range of (sn)(s_n) (Series, partial sums, convergence and the sum, divergence, and the tail series). Then:

  1. (sn)(s_n) is nondecreasing (Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences) and sn0s_n \ge 0 for every nn;
  2. ak\sum a_k converges if and only if SS is bounded above (Lower bound, bounded below, bounded set), and in that case k=0ak  =  supS,\sum_{k=0}^{\infty} a_k \;=\; \sup S , so in particular snk=0aks_n \le \sum_{k=0}^{\infty} a_k for every nn;
  3. if SS is not bounded above then sn+s_n \to +\infty (Divergence to ++\infty and to -\infty) and ak\sum a_k diverges.

This is the theorem that makes the nonnegative theory work: for terms of one sign, convergence is a boundedness question and no candidate limit is ever needed. Every comparison test on this page is an application of it.

Facts & Assumptions

Given: A sequence (ak)(a_k) of reals with ak0a_k \ge 0 for every kk, its partial sums sn=k<naks_n = \sum_{k<n} a_k, and the range S={sn:nN}S = \{s_n : n \in \mathbb{N}\} (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion, Sequences of reals: bounded, eventually, frequently, tails, subsequences).

[L1]

The recursion clause of the finite sum: sn+1=sn+ans_{n+1} = s_n + a_n (Finite sums and finite products, by recursion).

[L2]

Consecutive comparisons suffice for monotonicity: (xk)(x_k) is nondecreasing if and only if xkxk+1x_k \le x_{k+1} for every kk; and a nondecreasing sequence is bounded below by its first term (Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences).

[L3]

Monotonicity of finite sums: if ak0a_k \ge 0 for all k<nk < n then k<nak0\sum_{k<n} a_k \ge 0 (Laws of finite sums and finite products).

[L4]

A monotone sequence converges if and only if it is bounded, that is if and only if there is MM with xkM|x_k| \le M for every kk (A monotone sequence converges if and only if it is bounded, Sequences of reals: bounded, eventually, frequently, tails, subsequences).

[L6]

A nondecreasing sequence whose range is not bounded above diverges to ++\infty (A nondecreasing sequence that is not bounded above diverges to ++\infty, Divergence to ++\infty and to -\infty).

Proof

technique · direct
1.1

For every nn, sn+1sn=an0s_{n+1} - s_n = a_n \ge 0, so snsn+1s_n \le s_{n+1} and (sn)(s_n) is nondecreasing.

givenL1L2
1.2

For every nn, sn=k<nak0s_n = \sum_{k<n} a_k \ge 0, all terms being nonnegative.

givenL3
2.1

Claim 1 is steps 1.1 and 1.2 together.

step 1.1step 1.2
2.2

Since sn0s_n \ge 0 we have sn=sn|s_n| = s_n, so (sn)(s_n) is bounded in the sense of [L4] if and only if SS is bounded above.

step 1.2L4
3.1

By [L4] applied to the monotone sequence (sn)(s_n), the series converges if and only if (sn)(s_n) is bounded, hence if and only if SS is bounded above.

step 1.1step 2.2L4
4.1

If SS is bounded above then (sn)(s_n) converges to supS\sup S, so ak\sum a_k converges with sum supS\sup S; and since supS\sup S is an upper bound of SS, snsupSs_n \le \sup S for every nn.

step 1.1step 3.1L5
4.2

If SS is not bounded above then sn+s_n \to +\infty, and by step 3.1 the series diverges.

step 1.1step 3.1L6
5.1

The equivalence and the identification of the sum as the supremum together make claim 2, and the divergence statement is claim 3.

step 3.1step 4.1step 4.2

Remarks

TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

If 0akbk0 \le a_k \le b_k eventually, convergence of bk\sum b_k gives convergence of ak\sum a_k, and divergence of ak\sum a_k gives divergence of bk\sum b_k

Statement

Let (ak)(a_k) and (bk)(b_k) be sequences of reals and suppose there is KNK \in \mathbb{N} with

0    ak    bkfor all kK.0 \;\le\; a_k \;\le\; b_k \qquad \text{for all } k \ge K .

Then:

  1. if bk\sum b_k converges then ak\sum a_k converges (Series, partial sums, convergence and the sum, divergence, and the tail series);
  2. if ak\sum a_k diverges then bk\sum b_k diverges.

The same statement holds verbatim for series with a general starting index mm, applied to the shifted sequences of Series, partial sums, convergence and the sum, divergence, and the tail series.

The hypothesis is on the terms from some index on, not on all of them: finitely many terms of either sequence may violate it, or be negative, without affecting the conclusion. What may not be dropped is nonnegativity of (ak)(a_k) from that index on.

Facts & Assumptions

Given: Sequences (ak)(a_k), (bk)(b_k) of reals and KNK \in \mathbb{N} with 0akbk0 \le a_k \le b_k for all kKk \ge K; the partial sums αj=i<jaK+i\alpha_j = \sum_{i<j} a_{K+i} and βj=i<jbK+i\beta_j = \sum_{i<j} b_{K+i} of the KK-th tail series (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).

[L1]

Monotonicity of finite sums: if xiyix_i \le y_i for all i<ji < j then i<jxii<jyi\sum_{i<j} x_i \le \sum_{i<j} y_i (Laws of finite sums and finite products).

[L2]
[L3]

For a series of nonnegative terms: it converges if and only if the range of its partial sums is bounded above, and in the convergent case every partial sum is at most the sum (A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum, Lower bound, bounded below, bounded set).

Proof

technique · direct
1.1

For every iNi \in \mathbb{N} the index K+iK + i is at least KK, so 0aK+ibK+i0 \le a_{K+i} \le b_{K+i}; in particular both tail series have nonnegative terms.

given
1.2

Assume bk\sum b_k converges. Then its KK-th tail series kKbk\sum_{k \ge K} b_k converges.

givenL2
2.1

By monotonicity of finite sums, αjβj\alpha_j \le \beta_j for every jNj \in \mathbb{N}.

step 1.1L1
2.2

That tail series has nonnegative terms, so its partial sums satisfy βjB\beta_j \le B for every jj, where BB is its sum.

step 1.2step 1.1L3
3.1

Hence αjβjB\alpha_j \le \beta_j \le B for every jj, so the range of (αj)(\alpha_j) is bounded above by BB.

step 2.1step 2.2
4.1

The tail series kKak\sum_{k \ge K} a_k has nonnegative terms and partial sums bounded above, so it converges.

step 3.1step 1.1L3
5.1

Therefore ak\sum a_k converges, which is claim 1.

step 4.1L2
6.1

Claim 2 is the contrapositive of claim 1: if ak\sum a_k diverges then bk\sum b_k cannot converge.

step 5.1

Remarks

  • Both nonnegativity hypotheses are used, and in different places. ak0a_k \ge 0 is what lets convergence of kKak\sum_{k \ge K} a_k be read off from boundedness of its partial sums, and bkak0b_k \ge a_k \ge 0 is what makes the sum of kKbk\sum_{k \ge K} b_k an upper bound for the partial sums βj\beta_j. Drop the sign hypothesis and the theorem is false, not merely unproved; the companion page exhibits a pair with akbka_k \le b_k for every kk, bk\sum b_k convergent and ak\sum a_k divergent.

  • The comparison is with a series, not with a limit. No quotient ak/bka_k/b_k appears and no bkb_k is required to be nonzero, which is what distinguishes this test from the limit comparison test proved next.

TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passverified 2026-08-09 (gpt-5.6-terra-codex-subscription)Open item page →

For ak,bk>0a_k, b_k > 0 with ak/bkLa_k/b_k \to L: if L(0,)L \in (0,\infty) the two series share their behaviour, while L=0L = 0 and L=L = \infty give one implication each

Statement

Let (ak)(a_k) and (bk)(b_k) be sequences of reals with ak>0a_k > 0 and bk>0b_k > 0 for every kNk \in \mathbb{N}, and put qk:=ak/bkq_k := a_k / b_k. Then:

  1. if (qk)(q_k) converges with limkqk=L\lim_k q_k = L for a real L>0L > 0 (Limits and Cauchy sequences of reals), then ak\sum a_k converges if and only if bk\sum b_k converges;
  2. if (qk)(q_k) converges with limkqk=0\lim_k q_k = 0, then convergence of bk\sum b_k implies convergence of ak\sum a_k; equivalently, divergence of ak\sum a_k implies divergence of bk\sum b_k;
  3. if (qk)(q_k) diverges to ++\infty (Divergence to ++\infty and to -\infty), then convergence of ak\sum a_k implies convergence of bk\sum b_k; equivalently, divergence of bk\sum b_k implies divergence of ak\sum a_k.

In each clause the convergence of (qk)(q_k), or its divergence to ++\infty, is part of the hypothesis, so the symbol limkqk\lim_k q_k denotes wherever it is written (A sequence has at most one limit).

Neither implication in claim 2 can be reversed, and by symmetry neither can the one in claim 3; the companion page exhibits a pair with limkqk=0\lim_k q_k = 0, ak\sum a_k convergent and bk\sum b_k divergent.

For families from a general starting index mm the statement is the same, applied to the shifted sequences jaj+mj \mapsto a_{j+m} and jbj+mj \mapsto b_{j+m} (Series, partial sums, convergence and the sum, divergence, and the tail series).

On the third regime. "L=L = \infty" is written here as divergence of (qk)(q_k) to ++\infty in the sense of Divergence to ++\infty and to -\infty, and never as a limit equation with an infinite right-hand side. A sequence diverging to ++\infty has no limit in R\mathbb{R}, and this library does not write limqk=+\lim q_k = +\infty.

Facts & Assumptions

Given: Sequences (ak)(a_k), (bk)(b_k) of reals with ak>0a_k > 0 and bk>0b_k > 0 for every kk, the quotients qk=ak/bkq_k = a_k/b_k, and the assumption that one of the three regimes of the Statement holds: (qk)(q_k) converges with limkqk=L\lim_k q_k = L for some real L>0L > 0; or (qk)(q_k) converges with limkqk=0\lim_k q_k = 0; or (qk)(q_k) diverges to ++\infty (A sequence has at most one limit).

[L1]

Convergence to xx means: for every rational ε>0\varepsilon > 0 there is KK with xkx<ε|x_k - x| < \varepsilon for all kKk \ge K; and the same holds for every real ε>0\varepsilon > 0, since every real ε>0\varepsilon > 0 exceeds some rational 1/n1/n with n1n \ge 1 natural (Limits and Cauchy sequences of reals, For every ε>0\varepsilon > 0 in a complete ordered field there is a natural n1n \ge 1 with 1/n<ε1/n < \varepsilon, Sequences of reals: bounded, eventually, frequently, tails, subsequences).

[L2]

qk+q_k \to +\infty means: for every real MM there is KK with qk>Mq_k > M for all kKk \ge K (Divergence to ++\infty and to -\infty).

[L3]

Direct comparison: if 0xkyk0 \le x_k \le y_k for all kk from some index on, then convergence of yk\sum y_k gives convergence of xk\sum x_k (If 0akbk0 \le a_k \le b_k eventually, convergence of bk\sum b_k gives convergence of ak\sum a_k, and divergence of ak\sum a_k gives divergence of bk\sum b_k).

[L4]

For c0c \ne 0: cxk\sum c\,x_k converges if and only if xk\sum x_k converges (Convergent series add and scale termwise).

[L5]

Since qk=ak/bkq_k=a_k/b_k and bk>0b_k>0, the field laws give ak=qkbka_k=q_kb_k. Multiplication by a positive scalar preserves strict inequalities; the non-strict form follows by adjoining the equality case (Field, Sign rules for products and monotonicity of multiplication).

Proof

technique · cases
1.1

Assume (qk)(q_k) converges with limkqk=L\lim_k q_k = L for a real L>0L > 0.

assume-case pos
1.2

Assume instead (qk)(q_k) converges with limkqk=0\lim_k q_k = 0.

assume-case zero
1.3

Assume instead (qk)(q_k) diverges to ++\infty.

assume-case inf
2.1

In the case limkqk=L>0\lim_k q_k = L > 0, apply [L1] with the real tolerance L/2>0L/2 > 0: there is KK with qkL<L/2|q_k - L| < L/2, hence L/2<qk<3L/2L/2 < q_k < 3L/2, for all kKk \ge K.

step 1.1L1choose
2.2

In the case limkqk=0\lim_k q_k = 0, apply [L1] with the rational tolerance 11: there is KK with qk<1|q_k| < 1, hence qk<1q_k < 1, for all kKk \ge K.

step 1.2L1choose
2.3

In the case qk+q_k \to +\infty, apply [L2] with M=1M = 1: there is KK with qk>1q_k > 1 for all kKk \ge K.

step 1.3L2choose
3.1

In the case limkqk=L>0\lim_k q_k = L > 0, multiplying by bk>0b_k > 0 turns step 2.1 into (L/2)bk<ak<(3L/2)bk(L/2)\,b_k < a_k < (3L/2)\,b_k for all kKk \ge K, and all three quantities are positive.

step 2.1L5algebra
3.2

In the case limkqk=0\lim_k q_k = 0, multiplying by bk>0b_k > 0 turns step 2.2 into 0<ak<bk0 < a_k < b_k for all kKk \ge K.

step 2.2L5algebra
3.3

In the case qk+q_k \to +\infty, multiplying by bk>0b_k > 0 turns step 2.3 into 0<bk<ak0 < b_k < a_k for all kKk \ge K.

step 2.3L5algebra
4.1

In the case L>0L > 0: if bk\sum b_k converges then so does (3L/2)bk\sum (3L/2)b_k, and 0ak(3L/2)bk0 \le a_k \le (3L/2) b_k for kKk \ge K, so ak\sum a_k converges.

step 3.1L3L4
4.2

In the case L>0L > 0: if ak\sum a_k converges then, since 0(L/2)bkak0 \le (L/2)b_k \le a_k for kKk \ge K, the series (L/2)bk\sum (L/2) b_k converges, and L/20L/2 \ne 0 gives convergence of bk\sum b_k.

step 3.1L3L4
4.3

In the case limkqk=0\lim_k q_k = 0: 0akbk0 \le a_k \le b_k for kKk \ge K, so convergence of bk\sum b_k gives convergence of ak\sum a_k, and the contrapositive is the divergence form.

step 3.2L3
4.4

In the case qk+q_k \to +\infty: 0bkak0 \le b_k \le a_k for kKk \ge K, so convergence of ak\sum a_k gives convergence of bk\sum b_k, and the contrapositive is the divergence form.

step 3.3L3
5.1

The two implications in the case L>0L > 0 are the two directions of claim 1, and the remaining two cases give claims 2 and 3. The three assumed regimes are the cases of the disjunction in the Given, and they exhaust it, so every instance of the theorem is covered: outside those three regimes each of the three implications is vacuous, its hypothesis being false.

step 4.1step 4.2step 4.3step 4.4cases-exhaustive

Remarks

  • Why the three regimes are treated as one proof. The Statement is a conjunction of three implications, each with its own hypothesis on (qk)(q_k). Fixing the two sequences and arguing by cases on which regime holds proves all three at once, and costs nothing: if none of the regimes holds, every one of the three implications is vacuously true.

  • Positivity of (bk)(b_k) is needed twice. It is what makes qkq_k defined at all, and it is what lets an inequality between the qkq_k be multiplied through to an inequality between the aka_k and the bkb_k without reversing. Positivity of (ak)(a_k) is what supplies the lower bound 00 that the direct comparison test requires.

  • The limit is only used through an eventual two-sided estimate. No step needs the exact value of LL, only that qkq_k is eventually trapped strictly between two positive multiples of it. That is why the test still works when the quotients merely stay between two positive constants, and why the hypothesis limkqk=L\lim_k q_k = L is stronger than what the proof consumes.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

For a nonincreasing nonnegative sequence, ak\sum a_k converges iff 2ka2k\sum 2^k a_{2^k} converges

Statement

Let (ak)k1(a_k)_{k \ge 1} be a family from 11 (Series, partial sums, convergence and the sum, divergence, and the tail series) with

ak0  (k1)andajak  whenever 1jk.a_k \ge 0 \ \ (k \ge 1) \qquad \text{and} \qquad a_j \ge a_k \ \ \text{whenever } 1 \le j \le k .

Then

k1ak convergesj02ja2j converges.\sum_{k \ge 1} a_k \ \text{converges} \qquad \Longleftrightarrow \qquad \sum_{j \ge 0} 2^{j} a_{2^{j}} \ \text{converges} .

Every term of the condensed series is defined, because 2j12^{j} \ge 1 for every jNj \in \mathbb{N} (Monotonicity of xxnx \mapsto x^n and of nann \mapsto a^n), and the condensed series starts at j=0j = 0, its first term being 20a20=a12^0 a_{2^0} = a_1.

The monotonicity hypothesis is equivalent to the consecutive form ak+1aka_{k+1} \le a_k for every k1k \ge 1, since it says that the sequence bi:=ai+1b_i := a_{i+1}, iNi \in \mathbb{N}, is nonincreasing (Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences). It cannot be dropped: the companion page exhibits a nonnegative non-monotone family for which the two series behave differently.

Facts & Assumptions

Given: A family (ak)k1(a_k)_{k \ge 1} of reals with ak0a_k \ge 0 for k1k \ge 1 and ajaka_j \ge a_k whenever 1jk1 \le j \le k; the partial sums An=k=1nakA_n = \sum_{k=1}^{n} a_k of k1ak\sum_{k \ge 1} a_k, with A0=0A_0 = 0; and the partial sums Cn=j<n2ja2jC_n = \sum_{j<n} 2^{j} a_{2^{j}} of the condensed series (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).

[L1]

Splitting of finite sums, and the meaning of a sum with general bounds: for mnm \le n, k=1nak=k=1mak+k=m+1nak\sum_{k=1}^{n} a_k = \sum_{k=1}^{m} a_k + \sum_{k=m+1}^{n} a_k, and k=pqak=t<q+1pap+t\sum_{k=p}^{q} a_k = \sum_{t < q+1-p} a_{p+t} (Laws of finite sums and finite products, Finite sums and finite products, by recursion).

[L2]

Monotonicity and scaling of finite sums: if xtytx_t \le y_t for all t<dt < d then t<dxtt<dyt\sum_{t<d} x_t \le \sum_{t<d} y_t; and a constant sum is t<dλ=dλ\sum_{t<d} \lambda = d\,\lambda (Laws of finite sums and finite products).

[L3]

Powers of 22: 2j12^{j} \ge 1 for every jNj \in \mathbb{N}, 2j+1=22j2^{j+1} = 2 \cdot 2^{j}, and 2j<2j+12^{j} < 2^{j+1} (Integer powers ama^m, Monotonicity of xxnx \mapsto x^n and of nann \mapsto a^n).

[L4]

The principle of induction (The principle of mathematical induction).

[L5]

For a series of nonnegative terms: its partial sums are nondecreasing, it converges if and only if the range of its partial sums is bounded above, and in the convergent case every partial sum is at most the sum (A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum, Lower bound, bounded below, bounded set).

Proof

technique · direct
1.1

Every term of the condensed series is nonnegative, since 2j1>02^{j} \ge 1 > 0 and a2j0a_{2^{j}} \ge 0; and every AnA_n, every CnC_n is nonnegative, both series having nonnegative terms.

givenL3L5
1.2

For every nNn \in \mathbb{N} the block from 2n2^{n} to 2n+112^{n+1}-1 is k=2n2n+11ak=t<2na2n+t\sum_{k=2^{n}}^{2^{n+1}-1} a_k = \sum_{t < 2^{n}} a_{2^{n}+t}, since the number of terms is (2n+11)+12n=2n(2^{n+1}-1)+1-2^{n} = 2^{n}.

L1L3algebra
1.3

For every nNn \in \mathbb{N} the block from 2n+12^{n}+1 to 2n+12^{n+1} is k=2n+12n+1ak=t<2na2n+1+t\sum_{k=2^{n}+1}^{2^{n+1}} a_k = \sum_{t < 2^{n}} a_{2^{n}+1+t}, since the number of terms is 2n+1+1(2n+1)=2n2^{n+1}+1-(2^{n}+1) = 2^{n}.

L1L3algebra
1.4

Index growth: n2n1n \le 2^{n} - 1 for every nNn \in \mathbb{N}, by induction on nn. At n=0n = 0 this reads 000 \le 0; and if n2n1n \le 2^{n}-1, that is n+12nn+1 \le 2^{n}, then n+12n22n1=2n+11n+1 \le 2^{n} \le 2 \cdot 2^{n} - 1 = 2^{n+1}-1, the second inequality being 2n12^{n} \ge 1.

L3L4algebra
2.1

In the first block every index satisfies 2n2n+t2^{n} \le 2^{n}+t, so a2n+ta2na_{2^{n}+t} \le a_{2^{n}}, and therefore k=2n2n+11akt<2na2n=2na2n\sum_{k=2^{n}}^{2^{n+1}-1} a_k \le \sum_{t<2^{n}} a_{2^{n}} = 2^{n} a_{2^{n}}.

step 1.2givenL2
2.2

In the second block every index satisfies 2n+1+t2n+12^{n}+1+t \le 2^{n+1} for t<2nt < 2^{n}, so a2n+1+ta2n+1a_{2^{n}+1+t} \ge a_{2^{n+1}}, and therefore k=2n+12n+1akt<2na2n+1=2na2n+1\sum_{k=2^{n}+1}^{2^{n+1}} a_k \ge \sum_{t<2^{n}} a_{2^{n+1}} = 2^{n} a_{2^{n+1}}.

step 1.3givenL2L3
2.3

Suppose the condensed series converges, with sum CC; then CnCC_n \le C for every nn.

givenstep 1.1L5
2.4

Suppose conversely that k1ak\sum_{k \ge 1} a_k converges, with sum AA; then AnAA_n \le A for every nn.

givenstep 1.1L5
3.1

Upper estimate: A2n1CnA_{2^{n}-1} \le C_n for every nNn \in \mathbb{N}, by induction on nn. At n=0n = 0 both sides are 00, since 201=02^0 - 1 = 0 and C0C_0 is the empty sum; and if A2n1CnA_{2^{n}-1} \le C_n, then splitting at 2n12^{n}-1 gives A2n+11=A2n1+k=2n2n+11akCn+2na2n=Cn+1A_{2^{n+1}-1} = A_{2^{n}-1} + \sum_{k=2^{n}}^{2^{n+1}-1} a_k \le C_n + 2^{n} a_{2^{n}} = C_{n+1}.

step 2.1L1L3L4
3.2

Lower estimate: 2A2nj=1n2ja2j2 A_{2^{n}} \ge \sum_{j=1}^{n} 2^{j} a_{2^{j}} for every nNn \in \mathbb{N}, by induction on nn. At n=0n = 0 the right-hand side is the empty sum 00 and the left-hand side is 2a102a_1 \ge 0; and if the inequality holds at nn, then splitting at 2n2^{n} gives A2n+1=A2n+k=2n+12n+1akA2n+2na2n+1A_{2^{n+1}} = A_{2^{n}} + \sum_{k=2^{n}+1}^{2^{n+1}} a_k \ge A_{2^{n}} + 2^{n} a_{2^{n+1}}, whence 2A2n+12A2n+2n+1a2n+1j=1n+12ja2j2A_{2^{n+1}} \ge 2A_{2^{n}} + 2^{n+1} a_{2^{n+1}} \ge \sum_{j=1}^{n+1} 2^{j} a_{2^{j}}.

step 2.2step 1.1L1L3L4
4.1

For every NNN \in \mathbb{N} we have N2N1N \le 2^{N}-1, so ANA2N1CNCA_N \le A_{2^{N}-1} \le C_N \le C, the first inequality because the partial sums AnA_n are nondecreasing.

step 1.4step 3.1step 2.3step 1.1L5
4.2

For every nNn \in \mathbb{N}, j=1n2ja2j2A2n2A\sum_{j=1}^{n} 2^{j} a_{2^{j}} \le 2 A_{2^{n}} \le 2A, and splitting the condensed partial sum at j=1j = 1 gives Cn+1=a1+j=1n2ja2ja1+2AC_{n+1} = a_1 + \sum_{j=1}^{n} 2^{j} a_{2^{j}} \le a_1 + 2A.

step 3.2step 2.4L1L3
5.1

So the partial sums of k1ak\sum_{k \ge 1} a_k are bounded above by CC, and that series converges.

step 4.1L5
5.2

Also C0=0a1+2AC_0 = 0 \le a_1 + 2A, so every condensed partial sum is at most a1+2Aa_1 + 2A, and the condensed series converges.

step 4.2step 1.1L5
6.1

The two implications just established combine, so the two series converge or diverge together.

step 5.1step 5.2

Remarks

  • What monotonicity buys, in one sentence. It lets a block of 2n2^{n} consecutive terms be squeezed between 2n2^{n} copies of its last term and 2n2^{n} copies of its first, which is exactly the pair of estimates in steps 2.1 and 2.2. Without it a block carries no information about any single term in it, and the two series decouple entirely.

  • The factor 22 in the lower estimate is not an artefact. The blocks used for the two estimates are different: the upper estimate groups 2n,,2n+112^{n}, \dots, 2^{n+1}-1 and the lower estimate groups 2n+1,,2n+12^{n}+1, \dots, 2^{n+1}, and the second grouping produces 2na2n+12^{n} a_{2^{n+1}}, which is half of the condensed term 2n+1a2n+12^{n+1} a_{2^{n+1}}. Since only boundedness of the partial sums is at stake, a constant factor is harmless.

  • Base 22 is a choice, not a necessity. The same argument with blocks of length cnc^{n} gives the analogous test for any integer c2c \ge 2. Base 22 is taken here because it is the one every later application uses, and because the arithmetic of 2n+1=22n2^{n+1} = 2 \cdot 2^{n} keeps the induction free of extra bookkeeping.

TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

For rational p>0p > 0, 1/kp\sum 1/k^p converges iff p>1p > 1

Statement

Let pQp \in \mathbb{Q} with p>0p > 0. For a natural number k1k \ge 1 write ι(k)=k1R\iota(k) = k \cdot 1_{\mathbb{R}} for the canonical natural, which is positive (Canonical naturals are positive and strictly increasing), and write kp:=ι(k)pk^{p} := \iota(k)^{p} for its rational power (Rational powers ara^r of a positive base). Then

k11kp convergesp>1.\sum_{k \ge 1} \frac{1}{k^{p}} \ \text{converges} \qquad \Longleftrightarrow \qquad p > 1 .

In particular the harmonic series k11/k\sum_{k \ge 1} 1/k diverges, at p=1p = 1, and k11/k2\sum_{k \ge 1} 1/k^{2} converges, at p=2p = 2.

The index range is not cosmetic. The series starts at k=1k = 1 because 1/0p1/0^{p} is undefined: Rational powers ara^r of a positive base gives 0p=00^{p} = 0 for rational p>0p > 0, and 00 has no inverse. Sequences here are functions on N\mathbb{N} and N\mathbb{N} contains 00 (Series, partial sums, convergence and the sum, divergence, and the tail series), so the object named above is a series from the starting index 11 in the sense of Series, partial sums, convergence and the sum, divergence, and the tail series, not a series of a sequence on N\mathbb{N}.

The exponent is rational, and that is a limitation of this page. Rational powers of a positive base are what Rational powers ara^r of a positive base supplies; real exponents require the exponential and the logarithm, which this library develops later. The statement above is therefore the full pp-series theorem for every exponent this page can name.

Facts & Assumptions

Given: A rational p>0p > 0 and the family ak:=1/kp=ι(k)pa_k := 1/k^{p} = \iota(k)^{-p}, defined for naturals k1k \ge 1 (Rational powers ara^r of a positive base, Series, partial sums, convergence and the sum, divergence, and the tail series).

[L1]

Rational powers of a positive base are positive, and ar+s=arasa^{r+s} = a^{r}a^{s}, (ar)s=ars(a^{r})^{s} = a^{rs}, ar=1/ara^{-r} = 1/a^{r} for a>0a > 0 and rationals r,sr, s (Laws of rational exponents).

[L2]

Monotonicity of rational powers: for rational t>0t > 0 and 0<a<b0 < a < b one has at<bta^{t} < b^{t}; and for a>1a > 1 and rationals r<sr < s one has ar<asa^{r} < a^{s} (Monotonicity of rarr \mapsto a^{r} and of aara \mapsto a^{r}).

[L3]

The integer power and the rational power agree at an integer exponent: for a>0a > 0 and nZn \in \mathbb{Z}, ana^{n} read as in Integer powers ama^m equals ana^{n} read as in Rational powers ara^r of a positive base, since n=n/1n = n/1 and a1/1=aa^{1/1} = a (Existence and uniqueness of nn-th roots: a unique a1/n0a^{1/n} \ge 0 with (a1/n)n=a(a^{1/n})^n = a, Rational powers ara^r of a positive base). In particular a0=1a^{0} = 1.

[L4]

Reciprocation reverses the order on the positives: 0<a<b0 < a < b implies 0<1/b<1/a0 < 1/b < 1/a (Inverses of positives are positive, and reciprocation reverses order).

[L5]

Condensation: for a family (xk)k1(x_k)_{k \ge 1} that is nonnegative and nonincreasing, k1xk\sum_{k \ge 1} x_k converges if and only if j02jx2j\sum_{j \ge 0} 2^{j} x_{2^{j}} converges (For a nonincreasing nonnegative sequence, ak\sum a_k converges iff 2ka2k\sum 2^k a_{2^k} converges, Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences).

[L7]

The canonical naturals are positive and order preserving: 0<ι(1)ι(j)<ι(k)0 < \iota(1) \le \iota(j) < \iota(k) for naturals 1j<k1 \le j < k, and ι(2)=2>1\iota(2) = 2 > 1 (Canonical naturals are positive and strictly increasing).

Proof

technique · direct
1.1

For every natural k1k \ge 1 the base ι(k)\iota(k) is positive, so ak=ι(k)pa_k = \iota(k)^{-p} is defined and positive; in particular the family is nonnegative.

givenL7L1
1.2

For naturals 1j<k1 \le j < k we have 0<ι(j)<ι(k)0 < \iota(j) < \iota(k), hence ι(j)p<ι(k)p\iota(j)^{p} < \iota(k)^{p} since p>0p > 0, hence aj=1/ι(j)p>1/ι(k)p=aka_j = 1/\iota(j)^{p} > 1/\iota(k)^{p} = a_k; and for j=kj = k the two are equal. So ajaka_j \ge a_k whenever 1jk1 \le j \le k.

givenL7L2L4L1
1.3

For every jNj \in \mathbb{N} the base 2j2^{j} is positive and, reading the exponent jj as a rational, 2ja2j=2j(2j)p=2j2jp=2jjp=2(1p)j=(21p)j2^{j} a_{2^{j}} = 2^{j} \big(2^{j}\big)^{-p} = 2^{j} \cdot 2^{-jp} = 2^{\,j - jp} = 2^{\,(1-p)j} = \big(2^{\,1-p}\big)^{j}.

L1L3L7algebra
1.4

Since 2>12 > 1, the map t2tt \mapsto 2^{t} is strictly increasing on Q\mathbb{Q} and 20=12^{0} = 1; hence r=21p<1=20r = 2^{\,1-p} < 1 = 2^{0} holds exactly when 1p<01 - p < 0, that is exactly when p>1p > 1.

L2L3L7
2.1

Condensation applies to (ak)k1(a_k)_{k \ge 1}: k1ak\sum_{k \ge 1} a_k converges if and only if j02ja2j\sum_{j \ge 0} 2^{j} a_{2^{j}} converges.

step 1.1step 1.2L5
2.2

So the condensed series is the geometric series j0rj\sum_{j \ge 0} r^{j} with r:=21pr := 2^{\,1-p}, and r>0r > 0, so r=r|r| = r.

step 1.3L1L3
3.1

By the geometric series theorem, j0rj\sum_{j \ge 0} r^{j} converges if and only if r<1r < 1.

step 2.2L6
4.1

Chaining the three equivalences: k11/kp\sum_{k \ge 1} 1/k^{p} converges     \iff the condensed series converges     \iff r<1r < 1     \iff p>1p > 1.

step 2.1step 2.2step 3.1step 1.4

Remarks

  • Where the threshold comes from. Condensation turns the pp-series into a geometric series of ratio 21p2^{1-p}, and the geometric threshold r=1r = 1 pulls back to p=1p = 1. Nothing about the number 11 is special to the pp-series; it is the exponent at which the condensed terms stop shrinking.

  • At p=1p = 1 the condensed series is j01\sum_{j \ge 0} 1. Its terms do not tend to 00, so it diverges, and with it the harmonic series. That instance is worked out on the companion page, together with the older block argument that does not use condensation at all.

  • Only rational exponents are covered, and the gap is real. For irrational pp the expression kpk^{p} has no meaning in this library yet, so the statement is not merely unproved there, it is unstatable. The same limitation is what keeps the Bertrand-type series 1/(k(logk)p)\sum 1/(k (\log k)^{p}) off this page entirely, the logarithm not being available.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passverified 2026-08-09 (gpt-5.6-terra-codex-subscription)Open item page →

Root test: lim supak1/k<1\limsup |a_k|^{1/k} < 1 gives absolute convergence and hence convergence, >1> 1 gives divergence, and =1= 1 decides nothing

Statement

Let (ak)k1(a_k)_{k \ge 1} be a family of reals from the starting index 11 (Series, partial sums, convergence and the sum, divergence, and the tail series), put

ρk  :=  ak+11/(k+1)(kN),ρ  :=  lim supkρk    R,\rho_k \;:=\; |a_{k+1}|^{1/(k+1)} \qquad (k \in \mathbb{N}), \qquad \rho \;:=\; \limsup_{k} \rho_k \;\in\; \overline{\mathbb{R}} ,

and note that ρ\rho exists for every such family, with no hypothesis whatever (The tail suprema of any real sequence are nonincreasing in R\overline{\mathbb{R}}, so the limit superior exists for every sequence, Limit superior and limit inferior of a real sequence as infnsupknxk\inf_n \sup_{k \ge n} x_k and supninfknxk\sup_n \inf_{k \ge n} x_k in R\overline{\mathbb{R}}). Then:

  1. if ρ<1\rho < 1 then k1ak\sum_{k \ge 1} |a_k| converges, and hence k1ak\sum_{k \ge 1} a_k converges as well;
  2. if ρ>1\rho > 1 then k1ak\sum_{k \ge 1} a_k diverges;
  3. if ρ=1\rho = 1 neither conclusion follows: k11/k\sum_{k \ge 1} 1/k diverges, k11/k2\sum_{k \ge 1} 1/k^{2} converges, and both have ρ=1\rho = 1.

The root family is shifted, and that is forced. The classical expression an1/n|a_n|^{1/n} is meaningful only for n1n \ge 1, since 1/01/0 is not a rational number (Rational powers ara^r of a positive base), while sequences here are functions on N\mathbb{N} and N\mathbb{N} contains 00. So the roots are written ρk=ak+11/(k+1)\rho_k = |a_{k+1}|^{1/(k+1)}, which is an1/n|a_n|^{1/n} reindexed by n=k+1n = k+1, exactly the convention of For ak>0a_k > 0: lim infak+1/aklim infak1/klim supak1/klim supak+1/ak\liminf a_{k+1}/a_k \le \liminf a_k^{1/k} \le \limsup a_k^{1/k} \le \limsup a_{k+1}/a_k. Every ρk\rho_k is defined, including where ak+1=0a_{k+1} = 0, by the supplementary clause of Rational powers ara^r of a positive base.

What claim 1 does and does not say. The comparison with a geometric series delivers convergence of the series of absolute values; that k1ak\sum_{k \ge 1} a_k itself converges is a separate step, and it is supplied by If ak\sum |a_k| converges then ak\sum a_k converges earlier on this page. Nothing here identifies the sum, and nothing here says anything about rearranging the series, which is taken up later in this track.

Facts & Assumptions

Given: A family (ak)k1(a_k)_{k \ge 1} of reals, the roots ρk=ak+11/(k+1)\rho_k = |a_{k+1}|^{1/(k+1)} for kNk \in \mathbb{N}, the tail suprema sn=sup{ρk:kn}s_n = \sup\{\rho_k : k \ge n\} taken in R\overline{\mathbb{R}}, and ρ=lim supkρk=inf{sn:nN}\rho = \limsup_k \rho_k = \inf\{s_n : n \in \mathbb{N}\} (Limit superior and limit inferior of a real sequence as infnsupknxk\inf_n \sup_{k \ge n} x_k and supninfknxk\sup_n \inf_{k \ge n} x_k in R\overline{\mathbb{R}}, The extended real line R=R{,+}\overline{\mathbb{R}} = \mathbb{R} \cup \{-\infty, +\infty\}, its order, and the arithmetic that is left undefined).

[L1]

Every subset of R\overline{\mathbb{R}} has a least upper bound and a greatest lower bound there, and the extended order is total (Every subset of R\overline{\mathbb{R}} has a least upper bound and a greatest lower bound in R\overline{\mathbb{R}}, agreeing with the real supremum and infimum on nonempty sets bounded in R\mathbb{R}, The extended real line R=R{,+}\overline{\mathbb{R}} = \mathbb{R} \cup \{-\infty, +\infty\}, its order, and the arithmetic that is left undefined). In particular ρsn\rho \le s_n for every nn, and ρksn\rho_k \le s_n for every knk \ge n; a real tt with ρ<t\rho < t fails to be a lower bound of {sn}\{s_n\}, and a real uu with sn>us_n > u fails to be an upper bound of {ρk:kn}\{\rho_k : k \ge n\}.

[L3]

Roots and powers: for x0x \ge 0 and natural n1n \ge 1, x1/n0x^{1/n} \ge 0 and (x1/n)n=x(x^{1/n})^{n} = x; on the nonnegatives yyny \mapsto y^{n} is strictly increasing for n1n \ge 1; and 1n=11^{n} = 1 (Existence and uniqueness of nn-th roots: a unique a1/n0a^{1/n} \ge 0 with (a1/n)n=a(a^{1/n})^n = a, Rational powers ara^r of a positive base, Monotonicity of xxnx \mapsto x^n and of nann \mapsto a^n).

[L4]

Absolute value: x0|x| \ge 0 for every real xx (Basic properties of the absolute value).

[L5]

The geometric series j0tj\sum_{j \ge 0} t^{j} converges when t<1|t| < 1, and a series converges if and only if each of its tail series converges (For r<1|r| < 1, k0rk=1/(1r)\sum_{k \ge 0} r^k = 1/(1-r), and for r1|r| \ge 1 the series diverges, A series converges iff each of its tail series converges, and the sum splits as sNs_N plus the NN-th tail).

[L6]

Direct comparison, in the form for families from a general starting index: if 0xkyk0 \le x_k \le y_k from some index on and yk\sum y_k converges then xk\sum x_k converges (If 0akbk0 \le a_k \le b_k eventually, convergence of bk\sum b_k gives convergence of ak\sum a_k, and divergence of ak\sum a_k gives divergence of bk\sum b_k, Series, partial sums, convergence and the sum, divergence, and the tail series).

[L7]

If a series converges then its terms tend to 00; contrapositively, terms not tending to 00 force divergence (If a series converges then its terms tend to 00, Limits and Cauchy sequences of reals).

[L8]

1n1/n1 \le n^{1/n} for every natural n1n \ge 1, and the sequence (k+1)1/(k+1)(k+1)^{1/(k+1)} converges to 11 (n1/n1n^{1/n} \to 1); a sequence converging to a real cc has lim sup=lim inf=c\limsup = \liminf = c (A real sequence converges to LRL \in \mathbb{R} iff lim infxk=lim supxk=L\liminf x_k = \limsup x_k = L, and diverges to ±\pm\infty iff both equal ±\pm\infty); products and quotients of convergent sequences converge, the quotient requiring nonzero limit and nonzero denominators (Algebra of limits: sums, scalar multiples, products and quotients).

[L9]

Laws of rational exponents on a positive base: (ar)s=ars(a^{r})^{s} = a^{rs}, ar=1/ara^{-r} = 1/a^{r} and ar>0a^{r} > 0; and for rational t>0t > 0, a>1a > 1 implies at>1a^{t} > 1 (Laws of rational exponents, Monotonicity of rarr \mapsto a^{r} and of aara \mapsto a^{r}).

[L10]

For rational p>0p > 0, k11/kp\sum_{k \ge 1} 1/k^{p} converges if and only if p>1p > 1 (For rational p>0p > 0, 1/kp\sum 1/k^p converges iff p>1p > 1).

[L11]

If xj\sum |x_j| converges then xj\sum x_j converges; for a family from the starting index 11 this is the same statement applied to the shifted sequence jaj+1j \mapsto a_{j+1}, whose series is k1ak\sum_{k \ge 1} a_k and whose absolute-value series is k1ak\sum_{k \ge 1} |a_k| (If ak\sum |a_k| converges then ak\sum a_k converges, Series, partial sums, convergence and the sum, divergence, and the tail series).

Proof

technique · cases
1.1

Assume ρ<1\rho < 1.

assume-case lt
1.2

Assume instead ρ>1\rho > 1.

assume-case gt
1.3

Assume instead ρ=1\rho = 1.

assume-case one
2.1

Every ρk\rho_k is a nonnegative real, so each snρn0s_n \ge \rho_n \ge 0 and hence 00 is a lower bound of {sn}\{s_n\}, giving ρ0\rho \ge 0; combined with the case hypothesis ρ<1\rho < 1 this puts ρ\rho strictly between the reals 00 and 11, so ρ\rho is a real number.

step 1.1L1L2L3L4
2.2

In the case ρ>1\rho > 1, the value ρ\rho is a lower bound of {sn}\{s_n\}, so snρ>1s_n \ge \rho > 1 for every nNn \in \mathbb{N}.

step 1.2L1
2.3

In the case ρ=1\rho = 1, take first bk:=1/kb_k := 1/k for k1k \ge 1. Its root family is (1/(k+1))1/(k+1)=1/(k+1)1/(k+1)\big(1/(k+1)\big)^{1/(k+1)} = 1 / (k+1)^{1/(k+1)}, and since (k+1)1/(k+1)1(k+1)^{1/(k+1)} \to 1 with every term at least 11, the quotient rule gives convergence to 11, so the limit superior of the root family is 11; and k11/k\sum_{k \ge 1} 1/k diverges, being the case p=1p = 1.

step 1.3L8L9L10
2.4

In the case ρ=1\rho = 1, take next ck:=1/k2c_k := 1/k^{2} for k1k \ge 1. Its root family is ((k+1)2)1/(k+1)=((k+1)1/(k+1))2\big((k+1)^{-2}\big)^{1/(k+1)} = \big((k+1)^{1/(k+1)}\big)^{-2}, which converges to 12=11^{-2} = 1 by the product and quotient rules, so again the limit superior of the root family is 11; and k11/k2\sum_{k \ge 1} 1/k^{2} converges, being the case p=2p = 2.

step 1.3L8L9L10
3.1

In the case ρ<1\rho < 1 put t:=(ρ+1)/2t := (\rho + 1)/2, a real number with 0ρ<t<10 \le \rho < t < 1; since tt is not a lower bound of {sn}\{s_n\} there is NNN \in \mathbb{N} with sN<ts_N < t.

step 2.1L1choose
3.2

In the case ρ>1\rho > 1, for each nn the real 11 is not an upper bound of {ρk:kn}\{\rho_k : k \ge n\}, so there is knk \ge n with ρk>1\rho_k > 1.

step 2.2L1
3.3

So at ρ=1\rho = 1 one family gives a divergent series and another a convergent one, and neither of the two conclusions can be drawn, which is claim 3.

step 2.3step 2.4
4.1

In the case ρ<1\rho < 1, for every kNk \ge N we have ρksN<t\rho_k \le s_N < t, and raising both nonnegative sides to the power k+11k+1 \ge 1 gives ak+1=(ρk)k+1<tk+1|a_{k+1}| = (\rho_k)^{k+1} < t^{\,k+1}.

step 3.1L1L3
4.2

In the case ρ>1\rho > 1, whenever ρk>1\rho_k > 1 we get ak+1=(ρk)k+1>1k+1=1|a_{k+1}| = (\rho_k)^{k+1} > 1^{\,k+1} = 1; so by step 3.2 there are indices knk \ge n with ak+1>1|a_{k+1}| > 1 for every nn.

step 3.2L3
4.3

In the case ρ<1\rho < 1: since 0<t<10 < t < 1 the geometric series j0tj\sum_{j \ge 0} t^{j} converges, hence so does its first tail series m1tm\sum_{m \ge 1} t^{m}.

step 3.1L5
5.1

In the case ρ<1\rho < 1: putting xj:=aj+1x_j := |a_{j+1}| and yj:=tj+1y_j := t^{\,j+1} for jNj \in \mathbb{N}, step 4.1 gives 0xjyj0 \le x_j \le y_j for all jNj \ge N, and jyj\sum_j y_j is the convergent series of step 4.3; so k1ak\sum_{k \ge 1} |a_k| converges.

step 4.1step 4.3L4L6
5.2

In the case ρ>1\rho > 1: the sequence jaj+1j \mapsto a_{j+1} does not converge to 00, because with the rational tolerance 11 no index KK satisfies ak+1<1|a_{k+1}| < 1 for all kKk \ge K; hence k1ak\sum_{k \ge 1} a_k diverges, which is claim 2.

step 4.2L7
6.1

In the case ρ<1\rho < 1: the series k1ak\sum_{k \ge 1} |a_k| having been shown to converge, the sequence jaj+1j \mapsto a_{j+1} has a convergent absolute-value series, so k1ak\sum_{k \ge 1} a_k converges as well; together with the convergence of k1ak\sum_{k \ge 1}|a_k| that is claim 1.

step 5.1L11
7.1

The three cases ρ<1\rho < 1, ρ>1\rho > 1 and ρ=1\rho = 1 exhaust R\overline{\mathbb{R}}, the extended order being total, so the three claims together cover every family.

step 6.1step 5.2step 3.3L1cases-exhaustive

Remarks

  • The test reads only the tail suprema, and that is why it never needs the roots to converge. Claim 1 uses a single index NN beyond which all roots sit below a fixed t<1t < 1; claim 2 uses only that roots above 11 occur arbitrarily late. Neither argument asks whether (ρk)(\rho_k) has a limit, which is exactly the advantage of lim sup\limsup over lim\lim here.

  • Claim 2 is proved through the term test, not through a comparison. What the hypothesis delivers is infinitely many terms of absolute value greater than 11, which already forbids the terms from tending to 00. No estimate on the partial sums is needed, and none is available, the terms having no sign.

  • The witnesses in claim 3 are chosen so that both root computations reduce to the single standard limit n1/n1n^{1/n} \to 1. The companion page carries the same phenomenon with the exponents 1/2-1/2 and 2-2, where the divergent witness is not the harmonic series.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passverified 2026-08-09 (gpt-5.6-terra-codex-subscription)Open item page →

Ratio test: lim supak+1/ak<1\limsup |a_{k+1}/a_k| < 1 gives absolute convergence and hence convergence, and lim infak+1/ak>1\liminf |a_{k+1}/a_k| > 1 gives divergence

Statement

Let (ak)(a_k) be a sequence of reals with ak0a_k \ne 0 for every kNk \in \mathbb{N} and put

qk  :=  ak+1ak  =  ak+1ak(kN),q_k \;:=\; \Big|\frac{a_{k+1}}{a_k}\Big| \;=\; \frac{|a_{k+1}|}{|a_k|} \qquad (k \in \mathbb{N}),

a genuine sequence on N\mathbb{N}, whose limit superior and limit inferior exist in R\overline{\mathbb{R}} for every such (ak)(a_k) (The tail suprema of any real sequence are nonincreasing in R\overline{\mathbb{R}}, so the limit superior exists for every sequence). Then:

  1. if lim supkqk<1\limsup_{k} q_k < 1 then ak\sum |a_k| converges, and hence ak\sum a_k converges as well (If ak\sum |a_k| converges then ak\sum a_k converges);
  2. if lim infkqk>1\liminf_{k} q_k > 1 then ak\sum a_k diverges.

The hypothesis ak0a_k \ne 0 is what makes qkq_k exist and is not a convenience: a single vanishing term leaves the ratio at that index undefined. For a family from a starting index mm the statement is the one above applied to the shifted sequence jaj+mj \mapsto a_{j+m} (Series, partial sums, convergence and the sum, divergence, and the tail series), whose ratios are aj+m+1/aj+m|a_{j+m+1}/a_{j+m}|.

Nothing is claimed when lim supkqk1lim infkqk\limsup_k q_k \ge 1 \ge \liminf_k q_k. In that regime the test is silent, and it has to be: the companion page carries a convergent series whose ratios have limit superior 22, and both a convergent and a divergent series with ratio limit exactly 11.

Facts & Assumptions

Given: A sequence (ak)(a_k) of reals with ak0a_k \ne 0 for every kk; the ratios qk=ak+1/akq_k = |a_{k+1}|/|a_k|; the tail bounds sn=sup{qk:kn}s_n = \sup\{q_k : k \ge n\} and in=inf{qk:kn}i_n = \inf\{q_k : k \ge n\} taken in R\overline{\mathbb{R}}, so that lim supkqk=inf{sn}\limsup_k q_k = \inf\{s_n\} and lim infkqk=sup{in}\liminf_k q_k = \sup\{i_n\} (Limit superior and limit inferior of a real sequence as infnsupknxk\inf_n \sup_{k \ge n} x_k and supninfknxk\sup_n \inf_{k \ge n} x_k in R\overline{\mathbb{R}}, The extended real line R=R{,+}\overline{\mathbb{R}} = \mathbb{R} \cup \{-\infty, +\infty\}, its order, and the arithmetic that is left undefined); and the assumption that one of the two hypotheses of the Statement holds.

[L1]

Every subset of R\overline{\mathbb{R}} has a least upper bound and a greatest lower bound there, and the extended order is total (Every subset of R\overline{\mathbb{R}} has a least upper bound and a greatest lower bound in R\overline{\mathbb{R}}, agreeing with the real supremum and infimum on nonempty sets bounded in R\mathbb{R}). In particular inf{sn}sn\inf\{s_n\} \le s_n and sup{in}in\sup\{i_n\} \ge i_n for every nn; qksnq_k \le s_n and qkinq_k \ge i_n for every knk \ge n; a real tt exceeding inf{sn}\inf\{s_n\} is not a lower bound of {sn}\{s_n\}; and a real uu below sup{in}\sup\{i_n\} is not an upper bound of {in}\{i_n\}.

[L3]

Absolute value: x0|x| \ge 0; x=0|x| = 0 exactly when x=0x = 0; xy=xy|xy| = |x||y|, so ak+1/ak=ak+1/ak|a_{k+1}/a_k| = |a_{k+1}|/|a_k| (Basic properties of the absolute value).

[L4]

The principle of induction (The principle of mathematical induction).

[L5]

The geometric series j0tj\sum_{j \ge 0} t^{j} converges when t<1|t| < 1; a series converges if and only if each of its tail series converges; and cxj\sum c\,x_j converges when xj\sum x_j does (For r<1|r| < 1, k0rk=1/(1r)\sum_{k \ge 0} r^k = 1/(1-r), and for r1|r| \ge 1 the series diverges, A series converges iff each of its tail series converges, and the sum splits as sNs_N plus the NN-th tail, Convergent series add and scale termwise).

[L6]

Direct comparison: if 0xjyj0 \le x_j \le y_j from some index on and yj\sum y_j converges then xj\sum x_j converges (If 0akbk0 \le a_k \le b_k eventually, convergence of bk\sum b_k gives convergence of ak\sum a_k, and divergence of ak\sum a_k gives divergence of bk\sum b_k).

[L7]

If a series converges then its terms tend to 00 (If a series converges then its terms tend to 00, Limits and Cauchy sequences of reals); and for every real c>0c > 0 there is a natural n1n \ge 1 with the rational 1/n<c1/n < c (For every ε>0\varepsilon > 0 in a complete ordered field there is a natural n1n \ge 1 with 1/n<ε1/n < \varepsilon).

[L8]

Powers: t0=1t^{0} = 1, tj+1=tjtt^{j+1} = t^{j} t, and tj>0t^{j} > 0 for t>0t > 0 (Integer powers ama^m, Monotonicity of xxnx \mapsto x^n and of nann \mapsto a^n).

[L9]

If xk\sum |x_k| converges then xk\sum x_k converges (If ak\sum |a_k| converges then ak\sum a_k converges).

Proof

technique · cases
1.1

Assume lim supkqk<1\limsup_{k} q_k < 1.

assume-case lt
1.2

Assume instead lim infkqk>1\liminf_{k} q_k > 1.

assume-case gt
1.3

Each qkq_k is a nonnegative real, being a quotient of a nonnegative real by a positive one, so every snqn0s_n \ge q_n \ge 0 and hence lim supkqk0\limsup_k q_k \ge 0.

givenL1L2L3
2.1

In the case lim supkqk<1\limsup_k q_k < 1 the value Λ:=lim supkqk\Lambda := \limsup_k q_k therefore lies strictly between the reals 00 and 11 inclusive of 00, so it is a real number; put t:=(Λ+1)/2t := (\Lambda + 1)/2, a real with 0Λ<t<10 \le \Lambda < t < 1.

step 1.1step 1.3L1choose
2.2

In the case lim infkqk>1\liminf_k q_k > 1, the real 11 is not an upper bound of {in}\{i_n\}, so there is NNN \in \mathbb{N} with iN>1i_N > 1.

step 1.2L1choose
3.1

In the case Λ<1\Lambda < 1: since t>Λ=inf{sn}t > \Lambda = \inf\{s_n\}, the real tt is not a lower bound of {sn}\{s_n\}, so there is NN with sN<ts_N < t, and then qksN<tq_k \le s_N < t for every kNk \ge N.

step 2.1L1choose
3.2

In the case lim infkqk>1\liminf_k q_k > 1: qkiN>1q_k \ge i_N > 1 for every kNk \ge N, since iNi_N is a lower bound of {qk:kN}\{q_k : k \ge N\}.

step 2.2L1
3.3

In the case Λ<1\Lambda < 1: the series j0tj\sum_{j \ge 0} t^{\,j} converges since t=t<1|t| = t < 1, hence so does j0aNtj\sum_{j \ge 0} |a_N| t^{\,j}.

step 2.1L5
4.1

In the case Λ<1\Lambda < 1: for kNk \ge N, ak+1/ak<t|a_{k+1}|/|a_k| < t with ak>0|a_k| > 0, hence ak+1<tak|a_{k+1}| < t\,|a_k|.

step 3.1L3algebra
4.2

In the case lim infkqk>1\liminf_k q_k > 1: for kNk \ge N, ak+1>ak|a_{k+1}| > |a_k|, again multiplying by ak>0|a_k| > 0.

step 3.2L3algebra
5.1

In the case Λ<1\Lambda < 1: an induction on jj gives aN+jaNtj|a_{N+j}| \le |a_N|\,t^{\,j} for every jNj \in \mathbb{N}. At j=0j = 0 this is an equality, since t0=1t^{0} = 1; and if it holds at jj then aN+j+1<taN+jtaNtj=aNtj+1|a_{N+j+1}| < t\,|a_{N+j}| \le t\,|a_N| t^{\,j} = |a_N| t^{\,j+1}, using t>0t > 0.

step 4.1L4L8
5.2

In the case lim infkqk>1\liminf_k q_k > 1: an induction on jj gives aN+jaN>0|a_{N+j}| \ge |a_N| > 0 for every jNj \in \mathbb{N}. At j=0j = 0 it is an equality, and if it holds at jj then aN+j+1>aN+jaN|a_{N+j+1}| > |a_{N+j}| \ge |a_N|.

step 4.2L3L4
6.1

In the case Λ<1\Lambda < 1: with xj:=aN+jx_j := |a_{N+j}| and yj:=aNtjy_j := |a_N| t^{\,j} we have 0xjyj0 \le x_j \le y_j for every jj, so jaN+j\sum_j |a_{N+j}| converges; that is the NN-th tail series of ak\sum |a_k|, so ak\sum |a_k| converges.

step 5.1step 3.3L3L5L6
6.2

In the case lim infkqk>1\liminf_k q_k > 1: (ak)(a_k) does not converge to 00. Choose a natural n1n \ge 1 with 1/n<aN1/n < |a_N|; if ak0a_k \to 0 there would be KK with ak<1/n|a_k| < 1/n for all kKk \ge K, contradicting akaN>1/n|a_k| \ge |a_N| > 1/n at any index kk that is at least both KK and NN.

step 5.2L7choose
7.1

In the case lim infkqk>1\liminf_k q_k > 1: by the term test ak\sum a_k diverges, which is claim 2.

step 6.2L7
7.2

In the case Λ<1\Lambda < 1: the series ak\sum |a_k| having been shown to converge, ak\sum a_k converges as well; together with the convergence of ak\sum |a_k| that is claim 1.

step 6.1L9
8.1

The two assumed hypotheses are the cases of the disjunction in the Given, and they exhaust it; outside them both claims are vacuous, each hypothesis being false, so the theorem holds for every sequence with nonvanishing terms.

step 7.2step 7.1cases-exhaustive

Remarks

  • The two halves are not dual, and the asymmetry is real. Convergence needs the ratios to be eventually below a fixed t<1t < 1, which lim sup<1\limsup < 1 supplies; divergence needs them eventually above 11, which is what lim inf>1\liminf > 1 supplies. A hypothesis on lim sup\limsup alone can never force divergence, since a single large ratio occurring arbitrarily late says nothing about the size of the terms. That is exactly what FALSE: lim supak+1/ak1\limsup |a_{k+1}/a_k| \ge 1 implies the series diverges records.

  • The geometric series is the only convergent series the proof knows. Claim 1 is a comparison against aNtj|a_N| t^{j}, and every later refinement on this page, Kummer's test included, exists because that comparison is too coarse when the ratios approach 11.

CorollaryStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

Whenever the ratio test decides, the root test decides the same way, and the converse fails

Statement

Let (ak)(a_k) be a sequence of reals with ak0a_k \ne 0 for every kNk \in \mathbb{N}, and put

qk:=ak+1ak,ρk:=ak+11/(k+1)(kN),q_k := \frac{|a_{k+1}|}{|a_k|}, \qquad \rho_k := |a_{k+1}|^{1/(k+1)} \qquad (k \in \mathbb{N}) ,

the ratio and root families of Ratio test: lim supak+1/ak<1\limsup |a_{k+1}/a_k| < 1 gives absolute convergence and hence convergence, and lim infak+1/ak>1\liminf |a_{k+1}/a_k| > 1 gives divergence and Root test: lim supak1/k<1\limsup |a_k|^{1/k} < 1 gives absolute convergence and hence convergence, >1> 1 gives divergence, and =1= 1 decides nothing. Then, in R\overline{\mathbb{R}},

lim infkqk    lim infkρk    lim supkρk    lim supkqk,\liminf_{k} q_k \;\le\; \liminf_{k} \rho_k \;\le\; \limsup_{k} \rho_k \;\le\; \limsup_{k} q_k ,

and consequently:

  1. if lim supkqk<1\limsup_k q_k < 1, so that the ratio test gives convergence of ak\sum |a_k| and hence of ak\sum a_k, then lim supkρk<1\limsup_k \rho_k < 1 and the root test gives the same;
  2. if lim infkqk>1\liminf_k q_k > 1, so that the ratio test gives divergence of ak\sum a_k, then lim supkρk>1\limsup_k \rho_k > 1 and the root test gives it too.

The converse fails. Let (sk)(s_k) be the alternating sequence of The even and odd index maps and the alternating sequence: strictly increasing e,oe, o with N\mathbb{N} their disjoint union, and the unique (sk)(s_k) with s0=1s_0 = 1, sσ(k)=sks_{\sigma(k)} = -s_k, which satisfies sk=1|s_k| = 1, se1s \circ e \equiv 1 and so1s \circ o \equiv -1, let tk:=2t_k := 2 when sk=1s_k = 1 and tk:=1/2t_k := 1/2 when sk=1s_k = -1, and put ak:=2ktka_k := 2^{-k} t_k, the sequence usually written ak=2k+(1)ka_k = 2^{-k+(-1)^k}. For it, lim supkρk=1/2<1\limsup_k \rho_k = 1/2 < 1 while lim supkqk=2\limsup_k q_k = 2 and lim infkqk=1/8\liminf_k q_k = 1/8 (FALSE: lim supak1/k=lim supak+1/ak\limsup a_k^{1/k} = \limsup a_{k+1}/a_k for every positive sequence), so the root test gives convergence of ak\sum |a_k| and neither half of the ratio test applies. So the root test decides strictly more series than the ratio test.

Facts & Assumptions

Given: A sequence (ak)(a_k) of reals with ak0a_k \ne 0 for every kk, the ratios qk=ak+1/akq_k = |a_{k+1}|/|a_k| and the roots ρk=ak+11/(k+1)\rho_k = |a_{k+1}|^{1/(k+1)} (Limit superior and limit inferior of a real sequence as infnsupknxk\inf_n \sup_{k \ge n} x_k and supninfknxk\sup_n \inf_{k \ge n} x_k in R\overline{\mathbb{R}}, The extended real line R=R{,+}\overline{\mathbb{R}} = \mathbb{R} \cup \{-\infty, +\infty\}, its order, and the arithmetic that is left undefined).

[L1]

For a sequence (bk)(b_k) of reals with bk>0b_k > 0 for every kk, writing qk=bk+1/bkq'_k = b_{k+1}/b_k and rk=bk+11/(k+1)r_k = b_{k+1}^{1/(k+1)}, one has lim infkqklim infkrklim supkrklim supkqk\liminf_k q'_k \le \liminf_k r_k \le \limsup_k r_k \le \limsup_k q'_k in R\overline{\mathbb{R}} (For ak>0a_k > 0: lim infak+1/aklim infak1/klim supak1/klim supak+1/ak\liminf a_{k+1}/a_k \le \liminf a_k^{1/k} \le \limsup a_k^{1/k} \le \limsup a_{k+1}/a_k).

[L2]

lim infkxklim supkxk\liminf_k x_k \le \limsup_k x_k for every real sequence (lim infxklim supxk\liminf x_k \le \limsup x_k for every real sequence).

[L3]

Absolute value: x0|x| \ge 0, and x=0|x| = 0 exactly when x=0x = 0 (Basic properties of the absolute value).

[L4]

The root test: for a family from 11, lim supkak+11/(k+1)<1\limsup_k |a_{k+1}|^{1/(k+1)} < 1 gives convergence of k1ak\sum_{k \ge 1}|a_k| and hence of k1ak\sum_{k \ge 1} a_k, and >1> 1 gives divergence of k1ak\sum_{k \ge 1} a_k (Root test: lim supak1/k<1\limsup |a_k|^{1/k} < 1 gives absolute convergence and hence convergence, >1> 1 gives divergence, and =1= 1 decides nothing).

[L5]

The ratio test: lim supkqk<1\limsup_k q_k < 1 gives convergence of ak\sum |a_k| and hence of ak\sum a_k, and lim infkqk>1\liminf_k q_k > 1 gives divergence of ak\sum a_k (Ratio test: lim supak+1/ak<1\limsup |a_{k+1}/a_k| < 1 gives absolute convergence and hence convergence, and lim infak+1/ak>1\liminf |a_{k+1}/a_k| > 1 gives divergence).

[L7]

For the sequence ak=2ktka_k = 2^{-k} t_k built from the alternating sequence as in the Statement: lim supkak+11/(k+1)=1/2\limsup_k |a_{k+1}|^{1/(k+1)} = 1/2, lim supkak+1/ak=2\limsup_k |a_{k+1}|/|a_k| = 2 and lim infkak+1/ak=1/8\liminf_k |a_{k+1}|/|a_k| = 1/8; and 2k>02^{-k} > 0, tk>0t_k > 0, so every term is positive and in particular nonzero (FALSE: lim supak1/k=lim supak+1/ak\limsup a_k^{1/k} = \limsup a_{k+1}/a_k for every positive sequence, The even and odd index maps and the alternating sequence: strictly increasing e,oe, o with N\mathbb{N} their disjoint union, and the unique (sk)(s_k) with s0=1s_0 = 1, sσ(k)=sks_{\sigma(k)} = -s_k, which satisfies sk=1|s_k| = 1, se1s \circ e \equiv 1 and so1s \circ o \equiv -1, Integer powers ama^m, Monotonicity of xxnx \mapsto x^n and of nann \mapsto a^n).

Proof

technique · direct
1.1

Put bk:=akb_k := |a_k|. Since ak0a_k \ne 0 we have bk>0b_k > 0 for every kk, so [L1] applies to (bk)(b_k).

givenL3L1
1.2

For the sequence ak=2ktka_k = 2^{-k} t_k of the Statement every term is nonzero, lim supkρk=1/2<1\limsup_k \rho_k = 1/2 < 1, and neither lim supkqk=2<1\limsup_k q_k = 2 < 1 nor lim infkqk=1/8>1\liminf_k q_k = 1/8 > 1 holds.

L7
2.1

For this (bk)(b_k) the ratio family is bk+1/bk=ak+1/ak=qkb_{k+1}/b_k = |a_{k+1}|/|a_k| = q_k and the root family is bk+11/(k+1)=ak+11/(k+1)=ρkb_{k+1}^{1/(k+1)} = |a_{k+1}|^{1/(k+1)} = \rho_k.

step 1.1
3.1

Therefore lim infkqklim infkρklim supkρklim supkqk\liminf_k q_k \le \liminf_k \rho_k \le \limsup_k \rho_k \le \limsup_k q_k, which is the displayed chain.

step 1.1step 2.1L1
4.1

Suppose lim supkqk<1\limsup_k q_k < 1. By the chain, lim supkρklim supkqk<1\limsup_k \rho_k \le \limsup_k q_k < 1, so the root test applies to the family (ak)k1(a_k)_{k \ge 1} and gives convergence of k1ak\sum_{k \ge 1}|a_k| and of k1ak\sum_{k \ge 1} a_k, hence of ak\sum |a_k| and of ak\sum a_k; the ratio test gives the same conclusions. That is claim 1.

step 3.1L4L5L6
4.2

Suppose lim infkqk>1\liminf_k q_k > 1. By the chain and [L2], lim supkρklim infkρklim infkqk>1\limsup_k \rho_k \ge \liminf_k \rho_k \ge \liminf_k q_k > 1, so the root test gives divergence of k1ak\sum_{k \ge 1} a_k, hence of ak\sum a_k; the ratio test gives the same conclusion. That is claim 2.

step 3.1L2L4L5L6
5.1

So for that sequence the root test gives convergence of k1ak\sum_{k \ge 1} |a_k| while neither half of the ratio test applies, and the converse of claims 1 and 2 fails.

step 1.2L4L5

Remarks

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

Kummer: for positive terms aka_k and weights ζk>0\zeta_k > 0, lim inf(ζkak/ak+1ζk+1)>0\liminf(\zeta_k a_k/a_{k+1} - \zeta_{k+1}) > 0 gives convergence, and if 1/ζk\sum 1/\zeta_k diverges while that expression is eventually 0\le 0 the series diverges

Statement

Let (ak)(a_k) and (ζk)(\zeta_k) be sequences of reals with

ak>0andζk>0for every kN,a_k > 0 \quad \text{and} \quad \zeta_k > 0 \qquad \text{for every } k \in \mathbb{N},

and define Kummer's expression

Kk  :=  ζkakak+1    ζk+1(kN),K_k \;:=\; \zeta_k \frac{a_k}{a_{k+1}} \;-\; \zeta_{k+1} \qquad (k \in \mathbb{N}),

a sequence of reals whose limit inferior exists in R\overline{\mathbb{R}} (The tail suprema of any real sequence are nonincreasing in R\overline{\mathbb{R}}, so the limit superior exists for every sequence). Then:

  1. if lim infkKk>0\liminf_{k} K_k > 0 then ak\sum a_k converges;
  2. if 1/ζk\sum 1/\zeta_k diverges and Kk0K_k \le 0 for all kk from some index on, then ak\sum a_k diverges.

Positivity of (ak)(a_k) is load bearing and is not a normalisation. Claim 2 is FALSE for terms of mixed sign, and the failure is not delicate: see the first remark below, where a convergent geometric series with negative ratio satisfies every hypothesis of claim 2 with the weights ζk=1\zeta_k = 1.

The two claims specialise to the ratio test at ζk=1\zeta_k = 1 and to Raabe's test at ζk=k+1\zeta_k = k+1; those two corollaries follow immediately below, and they are the only ways this theorem is used on this page.

Facts & Assumptions

Given: Sequences (ak)(a_k), (ζk)(\zeta_k) of reals with ak>0a_k > 0 and ζk>0\zeta_k > 0 for every kk; Kummer's expression Kk=ζkak/ak+1ζk+1K_k = \zeta_k a_k/a_{k+1} - \zeta_{k+1}; the auxiliary sequence bk:=ζkakb_k := \zeta_k a_k, which is positive; and the tail infima in=inf{Kk:kn}i_n = \inf\{K_k : k \ge n\} taken in R\overline{\mathbb{R}}, so that lim infkKk=sup{in:nN}\liminf_k K_k = \sup\{i_n : n \in \mathbb{N}\} (Limit superior and limit inferior of a real sequence as infnsupknxk\inf_n \sup_{k \ge n} x_k and supninfknxk\sup_n \inf_{k \ge n} x_k in R\overline{\mathbb{R}}, The extended real line R=R{,+}\overline{\mathbb{R}} = \mathbb{R} \cup \{-\infty, +\infty\}, its order, and the arithmetic that is left undefined).

[L1]

Every subset of R\overline{\mathbb{R}} has a least upper bound and a greatest lower bound there (Every subset of R\overline{\mathbb{R}} has a least upper bound and a greatest lower bound in R\overline{\mathbb{R}}, agreeing with the real supremum and infimum on nonempty sets bounded in R\mathbb{R}). In particular a real uu below sup{in}\sup\{i_n\} is not an upper bound of {in}\{i_n\}; ini_n is a lower bound of {Kk:kn}\{K_k : k \ge n\}; and inKni_n \le K_n, so ini_n is not ++\infty.

[L4]

(xkxk+1)\sum (x_k - x_{k+1}) converges whenever (xk)(x_k) converges ((bkbk+1)\sum (b_k - b_{k+1}) converges iff (bk)(b_k) converges, with sum b0limbkb_0 - \lim b_k).

[L5]

Direct comparison: if 0xkyk0 \le x_k \le y_k from some index on and yk\sum y_k converges then xk\sum x_k converges (If 0akbk0 \le a_k \le b_k eventually, convergence of bk\sum b_k gives convergence of ak\sum a_k, and divergence of ak\sum a_k gives divergence of bk\sum b_k).

[L6]

For c0c \ne 0, cxk\sum c\,x_k converges if and only if xk\sum x_k converges (Convergent series add and scale termwise); and a series converges if and only if each of its tail series converges (A series converges iff each of its tail series converges, and the sum splits as sNs_N plus the NN-th tail, Series, partial sums, convergence and the sum, divergence, and the tail series).

[L7]

The principle of induction (The principle of mathematical induction); and 1/x>01/x > 0 for x>0x > 0, with xyx \le y implying 1/y1/x1/y \le 1/x for positive x,yx, y (Inverses of positives are positive, and reciprocation reverses order).

Proof

technique · direct
1.1

Suppose lim infkKk>0\liminf_k K_k > 0. The real 00 is then not an upper bound of {in}\{i_n\}, so there is NNN \in \mathbb{N} with iN>0i_N > 0.

givenL1L2choose
1.2

Suppose now that 1/ζk\sum 1/\zeta_k diverges and that there is NN with Kk0K_k \le 0 for every kNk \ge N.

given
2.1

Since iNKNi_N \le K_N and iN>0i_N > 0, the value iNi_N is a real number; put c:=iN>0c := i_N > 0, so that KkcK_k \ge c for every kNk \ge N.

step 1.1L1
2.2

Multiplying Kk0K_k \le 0 by ak+1>0a_{k+1} > 0 gives ζkakζk+1ak+1\zeta_k a_k \le \zeta_{k+1} a_{k+1}, that is bkbk+1b_k \le b_{k+1}, for every kNk \ge N.

step 1.2givenalgebra
3.1

Multiplying KkcK_k \ge c by ak+1>0a_{k+1} > 0 gives ζkakζk+1ak+1cak+1\zeta_k a_k - \zeta_{k+1} a_{k+1} \ge c\,a_{k+1}, that is bkbk+1cak+1>0b_k - b_{k+1} \ge c\,a_{k+1} > 0, for every kNk \ge N.

step 2.1givenalgebra
3.2

An induction on jj gives bN+jbNb_{N+j} \ge b_N for every jNj \in \mathbb{N}: at j=0j = 0 it is an equality, and if it holds at jj then bN+j+1bN+jbNb_{N+j+1} \ge b_{N+j} \ge b_N.

step 2.2L7
4.1

Hence bN+jbN+j+1b_{N+j} \ge b_{N+j+1} for every jNj \in \mathbb{N}, so the tail sequence (bN+j)j(b_{N+j})_{j} is nonincreasing; and it is bounded below by 00, every bkb_k being positive.

step 3.1givenL3
4.2

So ζmambN>0\zeta_m a_m \ge b_N > 0 for every mNm \ge N, and dividing by ζm>0\zeta_m > 0 gives ambN(1/ζm)>0a_m \ge b_N \cdot (1/\zeta_m) > 0.

step 3.2givenL7
5.1

Therefore (bN+j)j(b_{N+j})_{j} converges, and by the telescoping lemma j(bN+jbN+j+1)\sum_{j} \big(b_{N+j} - b_{N+j+1}\big) converges.

step 4.1L3L4
5.2

Since 1/ζk\sum 1/\zeta_k diverges and bN0b_N \ne 0, the series bN(1/ζk)\sum b_N (1/\zeta_k) diverges.

step 1.2step 4.2L6
6.1

By step 3.1 we have 0caN+j+1bN+jbN+j+10 \le c\,a_{N+j+1} \le b_{N+j} - b_{N+j+1} for every jj, so jcaN+j+1\sum_{j} c\,a_{N+j+1} converges by comparison, and since c0c \ne 0 so does jaN+j+1\sum_{j} a_{N+j+1}.

step 3.1step 5.1L5L6
7.1

That last series is the (N+1)(N+1)-th tail series of ak\sum a_k, so ak\sum a_k converges, which is claim 1.

step 6.1L6
8.1

If ak\sum a_k converged then, since 0bN(1/ζm)am0 \le b_N(1/\zeta_m) \le a_m for mNm \ge N, comparison would make bN(1/ζk)\sum b_N(1/\zeta_k) converge, contradicting step 5.2; so ak\sum a_k diverges, which is claim 2.

step 4.2step 5.2L5

Remarks

  • Claim 2 fails for terms of mixed sign, and here is the witness. Take ζk=1\zeta_k = 1 for every kk and ak=(1/2)ka_k = (-1/2)^{k}. Then ak/ak+1=1/(1/2)=2a_k / a_{k+1} = 1/(-1/2) = -2 (Laws of integer exponents, Integer powers ama^m), so Kk=21=30K_k = -2 - 1 = -3 \le 0 at every index; and 1/ζk=1\sum 1/\zeta_k = \sum 1 diverges, its terms not tending to 00 (If a series converges then its terms tend to 00). Both hypotheses of claim 2 hold. Yet (1/2)k\sum (-1/2)^{k} converges, with sum 2/32/3, since 1/2<1|-1/2| < 1 (For r<1|r| < 1, k0rk=1/(1r)\sum_{k \ge 0} r^k = 1/(1-r), and for r1|r| \ge 1 the series diverges). The conclusion therefore fails, and what fails with it is exactly step 2.2, which multiplied an inequality by ak+1a_{k+1} and needed that factor to be positive. The classical signed witness at ζk=1\zeta_k = 1 is ak=(1)k/ka_k = (-1)^{k}/k, whose hypotheses check the same way; its convergence is the alternating series test, which this page does not prove, and that is why the geometric witness is the one used here.

  • The weights are a free parameter, and that is the point of the theorem. Kummer's test is not a single criterion but a family of them, one for each positive sequence (ζk)(\zeta_k), and the strength of the resulting test is exactly the strength of the divergent comparison series 1/ζk\sum 1/\zeta_k it carries. Constant weights give the ratio test, weights k+1k+1 give Raabe's test, and the pattern continues past what this page can state, since the next natural choice needs the logarithm.

  • Claim 1 does not need 1/ζk\sum 1/\zeta_k to diverge. The convergence half uses only positivity of the weights, through the telescoping bound in step 5.1. The divergence half is where the weights have to be tied to a known divergent series, and that asymmetry is why the two halves are not mirror images.

CorollaryStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

Kummer with ζk=1\zeta_k = 1 recovers the ratio test

Statement

Let (ak)(a_k) be a sequence of reals with ak>0a_k > 0 for every kNk \in \mathbb{N}, and put qk:=ak+1/akq_k := a_{k+1}/a_k, which is the ratio family of Ratio test: lim supak+1/ak<1\limsup |a_{k+1}/a_k| < 1 gives absolute convergence and hence convergence, and lim infak+1/ak>1\liminf |a_{k+1}/a_k| > 1 gives divergence since ak=ak|a_k| = a_k here. Take the constant weights ζk:=1\zeta_k := 1, so that Kummer's expression (Kummer: for positive terms aka_k and weights ζk>0\zeta_k > 0, lim inf(ζkak/ak+1ζk+1)>0\liminf(\zeta_k a_k/a_{k+1} - \zeta_{k+1}) > 0 gives convergence, and if 1/ζk\sum 1/\zeta_k diverges while that expression is eventually 0\le 0 the series diverges) is

Kk  =  akak+11(kN).K_k \;=\; \frac{a_k}{a_{k+1}} - 1 \qquad (k \in \mathbb{N}) .

Then:

  1. if lim supkqk<1\limsup_{k} q_k < 1 then lim infkKk>0\liminf_{k} K_k > 0, so Kummer's convergence criterion applies and yields convergence of ak\sum a_k;
  2. if lim infkqk>1\liminf_{k} q_k > 1 then 1/ζk\sum 1/\zeta_k diverges and Kk0K_k \le 0 from some index on, so Kummer's divergence criterion applies and yields divergence of ak\sum a_k.

Both conclusions are exactly those of Ratio test: lim supak+1/ak<1\limsup |a_{k+1}/a_k| < 1 gives absolute convergence and hence convergence, and lim infak+1/ak>1\liminf |a_{k+1}/a_k| > 1 gives divergence for a sequence of positive terms. So the ratio test is the constant-weight case of Kummer's test, and every strengthening of Kummer's test by a better choice of weights is a strengthening of the ratio test.

Facts & Assumptions

[L3]

Reciprocation on the positives: 0<x<y0 < x < y implies 0<1/y<1/x0 < 1/y < 1/x (Inverses of positives are positive, and reciprocation reverses order).

[L4]

A series whose terms do not tend to 00 diverges (If a series converges then its terms tend to 00).

Proof

technique · direct
1.1

The constant weights ζk=1\zeta_k = 1 are positive, and the terms aka_k are positive, so Kummer's test applies with these data and its expression is Kk=ak/ak+11K_k = a_k/a_{k+1} - 1.

givenL2
1.2

Each qkq_k is positive, so lim supkqk0\limsup_k q_k \ge 0, every tail supremum being at least qn>0q_n > 0.

givenL1
1.3

Suppose instead lim infkqk>1\liminf_k q_k > 1. The real 11 is not an upper bound of {in}\{i'_n\}, the tail infima of (qk)(q_k), so there is NN with iN>1i'_N > 1, and then qkiN>1q_k \ge i'_N > 1 for every kNk \ge N.

givenL1choose
1.4

The weight series 1/ζk\sum 1/\zeta_k is 1\sum 1, whose terms are constantly 11 and so do not tend to 00; it diverges.

givenL4
2.1

Suppose lim supkqk<1\limsup_k q_k < 1. Then Λ:=lim supkqk\Lambda := \limsup_k q_k lies between the reals 00 and 11 and is therefore real; put t:=(Λ+1)/2t := (\Lambda+1)/2, so that Λ<t<1\Lambda < t < 1 and t1/2>0t \ge 1/2 > 0.

step 1.2L1choose
2.2

For kNk \ge N: ak+1/ak>1a_{k+1}/a_k > 1 gives ak+1>ak>0a_{k+1} > a_k > 0, hence ak/ak+1<1a_k/a_{k+1} < 1, hence Kk<0K_k < 0 and in particular Kk0K_k \le 0.

step 1.3L3algebra
3.1

Since t>inf{sn}t > \inf\{s_n\}, the real tt is not a lower bound of {sn}\{s_n\}, so there is NN with sN<ts_N < t, and then qksN<tq_k \le s_N < t for every kNk \ge N.

step 2.1L1choose
3.2

Kummer's divergence criterion therefore applies and ak\sum a_k diverges, which is claim 2.

step 2.2step 1.4step 1.1L2
4.1

For kNk \ge N: 0<ak+1/ak<t0 < a_{k+1}/a_k < t, so ak/ak+1>1/ta_k/a_{k+1} > 1/t, and hence Kk=ak/ak+11>1/t1=:cK_k = a_k/a_{k+1} - 1 > 1/t - 1 =: c, where c>0c > 0 because 0<t<10 < t < 1 gives 1/t>11/t > 1.

step 3.1L3algebra
5.1

So cc is a lower bound of {Kk:kN}\{K_k : k \ge N\}, whence iNci_N \ge c and lim infkKk=sup{in}iNc>0\liminf_k K_k = \sup\{i_n\} \ge i_N \ge c > 0.

step 4.1L1
6.1

Kummer's convergence criterion therefore applies and ak\sum a_k converges, which is claim 1.

step 5.1step 1.1L2
7.1

The hypotheses in claims 1 and 2 are precisely those of the two halves of the ratio test for this sequence, and the conclusions agree, so the ratio test for positive terms is the case ζk=1\zeta_k = 1 of Kummer's test.

step 6.1step 3.2L5

Remarks

  • What this corollary is for. It is not a new criterion. It fixes the place of the ratio test inside the Kummer family, so that the later choices of weights on this page can be read as improvements on a known test rather than as unrelated criteria.

  • The ratio test proved earlier is more general in one respect. It allows terms of either sign, provided none vanishes, and concludes convergence of ak\sum |a_k|. Kummer's test needs positivity throughout, so the identification above is between the positive-term case of the ratio test and the constant-weight case of Kummer's test, and it says nothing about signed terms.

CorollaryStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

Raabe is Kummer with ζk=k+1\zeta_k = k+1: for positive terms, lim inf(k+1)(ak/ak+11)>1\liminf\, (k+1)(a_k/a_{k+1} - 1) > 1 gives convergence and lim sup<1\limsup < 1 gives divergence

Statement

Let (ak)(a_k) be a sequence of reals with ak>0a_k > 0 for every kNk \in \mathbb{N}. Write k+1k+1 for the canonical natural ι(k+1)R\iota(k+1) \in \mathbb{R}, which is positive (Canonical naturals are positive and strictly increasing), take the weights ζk:=k+1\zeta_k := k+1 in Kummer: for positive terms aka_k and weights ζk>0\zeta_k > 0, lim inf(ζkak/ak+1ζk+1)>0\liminf(\zeta_k a_k/a_{k+1} - \zeta_{k+1}) > 0 gives convergence, and if 1/ζk\sum 1/\zeta_k diverges while that expression is eventually 0\le 0 the series diverges, and put

Rk  :=  (k+1)(akak+11)(kN),R_k \;:=\; (k+1)\left(\frac{a_k}{a_{k+1}} - 1\right) \qquad (k \in \mathbb{N}),

so that Kummer's expression for these weights is Kk=Rk1K_k = R_k - 1. Then:

  1. if lim infkRk>1\liminf_{k} R_k > 1 then ak\sum a_k converges;
  2. if lim supkRk<1\limsup_{k} R_k < 1 then ak\sum a_k diverges.

The weights are k+1k+1 rather than kk because ζ0\zeta_0 has to be positive and N\mathbb{N} contains 00; the classical statement, indexed from 11, is the same criterion read along the shift k=j+1k = j+1.

Nothing is claimed when lim infkRk1lim supkRk\liminf_k R_k \le 1 \le \limsup_k R_k. The Gauss test proved next is exactly the tool for the borderline case Rk1R_k \to 1, where Raabe's test is silent.

Facts & Assumptions

Given: A sequence (ak)(a_k) of reals with ak>0a_k > 0 for every kk; the weights ζk=ι(k+1)\zeta_k = \iota(k+1); and Rk=(k+1)(ak/ak+11)R_k = (k+1)(a_k/a_{k+1} - 1) (Limit superior and limit inferior of a real sequence as infnsupknxk\inf_n \sup_{k \ge n} x_k and supninfknxk\sup_n \inf_{k \ge n} x_k in R\overline{\mathbb{R}}, Canonical naturals are positive and strictly increasing).

[L3]

k11/kp\sum_{k \ge 1} 1/k^{p} converges if and only if p>1p > 1; at p=1p = 1 it therefore diverges (For rational p>0p > 0, 1/kp\sum 1/k^p converges iff p>1p > 1). Moreover k1=ι(k)k^{1} = \iota(k), the rational power at exponent 11 being the element itself (Rational powers ara^r of a positive base, Existence and uniqueness of nn-th roots: a unique a1/n0a^{1/n} \ge 0 with (a1/n)n=a(a^{1/n})^n = a, Integer powers ama^m).

[L4]

The canonical naturals ι(k+1)\iota(k+1) are positive, and ι(k+2)=ι(k+1)+1\iota(k+2) = \iota(k+1) + 1 (Canonical naturals are positive and strictly increasing).

[L5]

The series k1xk\sum_{k \ge 1} x_k from the starting index 11 is by definition the series of the sequence jxj+1j \mapsto x_{j+1} (Series, partial sums, convergence and the sum, divergence, and the tail series).

Proof

technique · direct
1.1

The weights ζk=ι(k+1)\zeta_k = \iota(k+1) are positive for every kNk \in \mathbb{N}, and the terms aka_k are positive, so Kummer's test applies with these data.

givenL4L2
1.2

Suppose lim infkRk>1\liminf_k R_k > 1. The real 11 is not an upper bound of the set of tail infima of (Rk)(R_k), so there is NN with iN>1i_N > 1, and iNi_N is real because iNRNi_N \le R_N.

givenL1choose
1.3

Suppose instead lim supkRk<1\limsup_k R_k < 1. The real 11 is not a lower bound of the set of tail suprema of (Rk)(R_k), so there is NN with sN<1s_N < 1, and then RksN<1R_k \le s_N < 1 for every kNk \ge N.

givenL1choose
2.1

Kummer's expression for these weights is Kk=(k+1)akak+1(k+2)=(k+1)(akak+11)1=Rk1K_k = (k+1)\dfrac{a_k}{a_{k+1}} - (k+2) = (k+1)\left(\dfrac{a_k}{a_{k+1}} - 1\right) - 1 = R_k - 1.

step 1.1L4algebra
2.2

The weight series is k1/ζk=k1/ι(k+1)\sum_k 1/\zeta_k = \sum_k 1/\iota(k+1), which is precisely the series k11/k\sum_{k \ge 1} 1/k from the starting index 11, and that is the case p=1p = 1 of the pp-series, hence divergent.

step 1.1L3L5
3.1

Put c:=iN1>0c := i_N - 1 > 0. For every kNk \ge N we have RkiNR_k \ge i_N, hence Kk=Rk1iN1=cK_k = R_k - 1 \ge i_N - 1 = c.

step 1.2step 2.1L1algebra
3.2

Hence Kk=Rk1<0K_k = R_k - 1 < 0, in particular Kk0K_k \le 0, for every kNk \ge N.

step 1.3step 2.1algebra
4.1

So cc is a lower bound of {Kk:kN}\{K_k : k \ge N\}, whence lim infkKkc>0\liminf_k K_k \ge c > 0, and Kummer's convergence criterion gives convergence of ak\sum a_k, which is claim 1.

step 3.1step 1.1L1L2
5.1

Together with the divergence of the weight series, Kummer's divergence criterion gives divergence of ak\sum a_k, which is claim 2.

step 3.2step 2.2step 1.1L2

Remarks

  • Raabe's test is a genuine strengthening of the ratio test. Whenever the ratios ak+1/aka_{k+1}/a_k converge to 11 the ratio test is silent, while RkR_k may still be bounded away from 11 on either side; the companion page carries a series with ratio limit exactly 11 that Raabe decides. The reason is visible in the weights: the divergent comparison series behind the test has moved from 1\sum 1 to the harmonic series, which diverges far more slowly.

  • The threshold is 11 and not 00, and step 2.1 says why. Kummer's criterion is a statement about Kk=Rk1K_k = R_k - 1; the shift by 11 between the two expressions is the whole difference between the two thresholds, and it comes from ζk+1ζk=1\zeta_{k+1} - \zeta_k = 1 for these weights.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

Gauss: for positive terms, if ak/ak+1=1+h/k+rka_k/a_{k+1} = 1 + h/k + r_k with rkCk1ε|r_k| \le C\,k^{-1-\varepsilon} for k1k \ge 1, some constant CC and some rational ε>0\varepsilon > 0, the series converges iff h>1h > 1

Statement

Let (ak)(a_k) be a sequence of reals with ak>0a_k > 0 for every kNk \in \mathbb{N}. Suppose there are a real hh, a real C0C \ge 0, a rational ε>0\varepsilon > 0 and reals rkr_k for k1k \ge 1 such that

akak+1  =  1+hk+rkandrk    Ck1ε(k1),\frac{a_k}{a_{k+1}} \;=\; 1 + \frac{h}{k} + r_k \qquad \text{and} \qquad |r_k| \;\le\; C\,k^{-1-\varepsilon} \qquad (k \ge 1),

where kk denotes the canonical natural ι(k)>0\iota(k) > 0 and k1εk^{-1-\varepsilon} is the rational power (Rational powers ara^r of a positive base, Canonical naturals are positive and strictly increasing). Then

ak convergesh>1.\sum a_k \ \text{converges} \qquad \Longleftrightarrow \qquad h > 1 .

The hypotheses are imposed from k=1k = 1 on, since h/kh/k has no value at k=0k = 0; a0a_0 is unconstrained beyond being positive, which costs nothing because convergence is a tail property (A series converges iff each of its tail series converges, and the sum splits as sNs_N plus the NN-th tail).

The exponent ε\varepsilon is rational because that is what Rational powers ara^r of a positive base supplies, and the error bound is a pp-series bound with p=1+ε>1p = 1 + \varepsilon > 1, which is exactly the summability the proof consumes.

The borderline case h=1h = 1 is the whole point of the theorem. There Rk=(k+1)(ak/ak+11)R_k = (k+1)(a_k/a_{k+1} - 1) tends to 11, so both halves of Raabe's test (Raabe is Kummer with ζk=k+1\zeta_k = k+1: for positive terms, lim inf(k+1)(ak/ak+11)>1\liminf\, (k+1)(a_k/a_{k+1} - 1) > 1 gives convergence and lim sup<1\limsup < 1 gives divergence) are silent; the theorem asserts divergence there, and the argument below establishes it without any logarithm, by a telescoping product estimate.

Facts & Assumptions

Given: A sequence (ak)(a_k) of reals with ak>0a_k > 0 for every kk; reals hh, C0C \ge 0, a rational ε>0\varepsilon > 0 and reals rkr_k (k1k \ge 1) with ak/ak+1=1+h/k+rka_k/a_{k+1} = 1 + h/k + r_k and rkCk1ε|r_k| \le C k^{-1-\varepsilon} for k1k \ge 1; and Rk:=(k+1)(ak/ak+11)R_k := (k+1)(a_k/a_{k+1} - 1) for kNk \in \mathbb{N} (Raabe is Kummer with ζk=k+1\zeta_k = k+1: for positive terms, lim inf(k+1)(ak/ak+11)>1\liminf\, (k+1)(a_k/a_{k+1} - 1) > 1 gives convergence and lim sup<1\limsup < 1 gives divergence).

[L1]

Raabe's test: for positive terms, lim infkRk>1\liminf_k R_k > 1 gives convergence of ak\sum a_k and lim supkRk<1\limsup_k R_k < 1 gives divergence (Raabe is Kummer with ζk=k+1\zeta_k = k+1: for positive terms, lim inf(k+1)(ak/ak+11)>1\liminf\, (k+1)(a_k/a_{k+1} - 1) > 1 gives convergence and lim sup<1\limsup < 1 gives divergence).

[L3]

For every real c>0c > 0 there is a natural n1n \ge 1 with 1/n<c1/n < c, and for every real xx there is a natural nn with ι(n)>x\iota(n) > x (For every ε>0\varepsilon > 0 in a complete ordered field there is a natural n1n \ge 1 with 1/n<ε1/n < \varepsilon, Every complete ordered field is Archimedean).

[L4]

Rational powers on a positive base: ar+s=arasa^{r+s} = a^{r}a^{s}, (ar)s=ars(a^{r})^{s} = a^{rs}, ar=1/ara^{-r} = 1/a^{r}, ar>0a^{r} > 0; and for rational t>0t > 0, 0<x<y0 < x < y implies xt<ytx^{t} < y^{t} (Laws of rational exponents, Monotonicity of rarr \mapsto a^{r} and of aara \mapsto a^{r}, Rational powers ara^r of a positive base).

[L5]

Limit rules: sums, scalar multiples, products and quotients of convergent sequences (Algebra of limits: sums, scalar multiples, products and quotients); the squeeze theorem (The squeeze theorem); convergence depends only on the tail (Convergence depends only on the tail); a convergent sequence satisfies its estimate for every real tolerance (Limits and Cauchy sequences of reals, For every ε>0\varepsilon > 0 in a complete ordered field there is a natural n1n \ge 1 with 1/n<ε1/n < \varepsilon).

[L6]

k11/kp\sum_{k \ge 1} 1/k^{p} converges if and only if p>1p > 1 (For rational p>0p > 0, 1/kp\sum 1/k^p converges iff p>1p > 1).

[L8]

The principle of induction (The principle of mathematical induction); reciprocation reverses order on the positives (Inverses of positives are positive, and reciprocation reverses order); x0|x| \ge 0 and xxx \le |x| (Basic properties of the absolute value).

Proof

technique · cases
1.1

Assume h>1h > 1.

assume-case gt
1.2

Assume instead h<1h < 1.

assume-case lt
1.3

Assume instead h=1h = 1.

assume-case eq
1.4

For every k1k \ge 1, Rk=(k+1)(hk+rk)=h(1+1k)+(k+1)rkR_k = (k+1)\left(\dfrac{h}{k} + r_k\right) = h\left(1 + \dfrac{1}{k}\right) + (k+1) r_k.

givenalgebra
1.5

The sequence j1/(j+1)j \mapsto 1/(j+1) converges to 00: given a rational η>0\eta > 0, choose a natural n1n \ge 1 with 1/n<η1/n < \eta; then 1/(j+1)1/n<η1/(j+1) \le 1/n < \eta for every jj with j+1nj+1 \ge n.

L3L8choose
1.6

The sequence j(j+1)εj \mapsto (j+1)^{-\varepsilon} converges to 00: given a real η>0\eta > 0, put M:=max{1/η,1}>0M := \max\{1/\eta,\, 1\} > 0 and choose a natural nn with ι(n)>M1/ε\iota(n) > M^{1/\varepsilon}; then for j+1nj + 1 \ge n we get (j+1)ε>(M1/ε)ε=M1/η(j+1)^{\varepsilon} > \big(M^{1/\varepsilon}\big)^{\varepsilon} = M \ge 1/\eta, hence 0<(j+1)ε<η0 < (j+1)^{-\varepsilon} < \eta.

L3L4L8choose
1.7

For every jNj \in \mathbb{N}, (j+2)rj+1C(j+2)(j+1)1ε2C(j+1)(j+1)1ε=2C(j+1)ε|(j+2)\,r_{j+1}| \le C (j+2)(j+1)^{-1-\varepsilon} \le 2C (j+1)\,(j+1)^{-1-\varepsilon} = 2C\,(j+1)^{-\varepsilon}, using j+22(j+1)j + 2 \le 2(j+1).

givenL4L8algebra
2.1

Hence 2C(j+1)ε(j+2)rj+12C(j+1)ε-2C(j+1)^{-\varepsilon} \le (j+2) r_{j+1} \le 2C(j+1)^{-\varepsilon} with both bounds converging to 00, so (j+2)rj+10(j+2) r_{j+1} \to 0 by the squeeze theorem.

step 1.7step 1.6L5
2.2

In the case h=1h = 1, put uk:=kk+1rku_k := \dfrac{k}{k+1}\,r_k and tk:=kakt_k := k\,a_k for k1k \ge 1; then tk>0t_k > 0, ukrkCk1ε|u_k| \le |r_k| \le C k^{-1-\varepsilon} since 0<k/(k+1)<10 < k/(k+1) < 1, and akak+1=k+1k+rk=k+1k(1+uk)\dfrac{a_k}{a_{k+1}} = \dfrac{k+1}{k} + r_k = \dfrac{k+1}{k}\big(1 + u_k\big).

step 1.3givenL8algebra
3.1

Therefore Rj+1=h(1+1/(j+1))+(j+2)rj+1h(1+0)+0=hR_{j+1} = h\big(1 + 1/(j+1)\big) + (j+2) r_{j+1} \to h(1+0) + 0 = h, and since convergence depends only on the tail, the sequence (Rk)kN(R_k)_{k \in \mathbb{N}} converges to hh.

step 1.4step 1.5step 2.1L5
3.2

Consequently tktk+1=kk+1akak+1=1+uk\dfrac{t_k}{t_{k+1}} = \dfrac{k}{k+1}\cdot\dfrac{a_k}{a_{k+1}} = 1 + u_k for k1k \ge 1, so 1+uk=tk/tk+1>01 + u_k = t_k/t_{k+1} > 0 and tk+1tk=11+uk\dfrac{t_{k+1}}{t_k} = \dfrac{1}{1+u_k}.

step 2.2algebra
3.3

In the case h=1h = 1: k1k1ε\sum_{k \ge 1} k^{-1-\varepsilon} converges, since 1+ε1 + \varepsilon is a rational exceeding 11; hence so does k1Ck1ε\sum_{k \ge 1} C k^{-1-\varepsilon}, and by comparison with it so does k1uk\sum_{k \ge 1} |u_k|, whose terms are nonnegative.

step 2.2L6L7
4.1

In the case h>1h > 1: applying the limit estimate with the real tolerance (h1)/2>0(h-1)/2 > 0 gives an NN with Rk>h(h1)/2=(h+1)/2R_k > h - (h-1)/2 = (h+1)/2 for all kNk \ge N; so (h+1)/2(h+1)/2 is a lower bound of {Rk:kN}\{R_k : k \ge N\}, whence lim infkRk(h+1)/2>1\liminf_k R_k \ge (h+1)/2 > 1 and ak\sum a_k converges.

step 1.1step 3.1L2L5L1
4.2

In the case h<1h < 1: the tolerance (1h)/2>0(1-h)/2 > 0 gives an NN with Rk<h+(1h)/2=(h+1)/2R_k < h + (1-h)/2 = (h+1)/2 for all kNk \ge N; so (h+1)/2(h+1)/2 is an upper bound of {Rk:kN}\{R_k : k \ge N\}, whence lim supkRk(h+1)/2<1\limsup_k R_k \le (h+1)/2 < 1 and ak\sum a_k diverges.

step 1.2step 3.1L2L5L1
4.3

For k1k \ge 1: (1uk)(1+uk)=1uk21(1-u_k)(1+u_k) = 1 - u_k^{2} \le 1 and 1+uk>01 + u_k > 0, so 11+uk1uk1uk\dfrac{1}{1+u_k} \ge 1 - u_k \ge 1 - |u_k|.

step 3.2L8algebra
4.4

Writing UU for the sum of k1uk\sum_{k \ge 1} |u_k| and Pn=k=1nukP_n = \sum_{k=1}^{n} |u_k| for its partial sums, PnUP_n \to U, so there is a natural N0N_0 with UPN01/2U - P_{N_0} \le 1/2; put N:=N0+1N := N_0 + 1.

step 3.3L5L7choose
5.1

For every nNn \ge N the block k=Nnuk\sum_{k=N}^{n} |u_k| is a partial sum of the N0N_0-th tail series of k1uk\sum_{k \ge 1}|u_k|, whose terms are nonnegative and whose sum is UPN0U - P_{N_0}; hence k=Nnuk1/2\sum_{k=N}^{n} |u_k| \le 1/2, and in particular uk1/2|u_k| \le 1/2 for every kNk \ge N.

step 4.4L7
6.1

In the case h=1h = 1: for every nN1n \ge N-1, tn+1tN1k=Nnuk\dfrac{t_{n+1}}{t_N} \ge 1 - \sum_{k=N}^{n} |u_k|, by induction on nn. At n=N1n = N-1 both sides equal 11, the sum being empty. Assume it at nn; then, since tn+1/tN>0t_{n+1}/t_N > 0 and 1/(1+un+1)1un+11/2>01/(1+u_{n+1}) \ge 1 - |u_{n+1}| \ge 1/2 > 0, and since the induction hypothesis gives tn+1/tN1k=Nnuk1/2>0t_{n+1}/t_N \ge 1 - \sum_{k=N}^{n}|u_k| \ge 1/2 > 0, we get tn+2tN=11+un+1tn+1tN(1un+1)(1k=Nnuk)1k=Nn+1uk\dfrac{t_{n+2}}{t_N} = \dfrac{1}{1+u_{n+1}}\cdot\dfrac{t_{n+1}}{t_N} \ge \big(1-|u_{n+1}|\big)\Big(1 - \sum_{k=N}^{n}|u_k|\Big) \ge 1 - \sum_{k=N}^{n+1}|u_k|, the last step expanding the product and discarding a nonnegative term.

step 3.2step 4.3step 5.1L8
7.1

Hence tn+1/tN11/2=1/2t_{n+1}/t_N \ge 1 - 1/2 = 1/2 for every nN1n \ge N-1, that is mam=tmtN/2>0m\,a_m = t_m \ge t_N/2 > 0 for every mNm \ge N, and so amtN21ma_m \ge \dfrac{t_N}{2}\cdot\dfrac{1}{m} for every mNm \ge N.

step 6.1step 5.1L8algebra
8.1

The series m11/m\sum_{m \ge 1} 1/m diverges, so m1tN21m\sum_{m \ge 1} \frac{t_N}{2}\cdot\frac{1}{m} diverges, the factor tN/2t_N/2 being nonzero.

step 7.1L6L7
9.1

If ak\sum a_k converged, then so would m1am\sum_{m \ge 1} a_m, and comparison with the estimate of step 7.1 would make m1tN2m\sum_{m \ge 1} \frac{t_N}{2m} converge, contradicting step 8.1; so in the case h=1h = 1 the series ak\sum a_k diverges.

step 7.1step 8.1L7
10.1

The three cases h>1h > 1, h<1h < 1 and h=1h = 1 exhaust the reals, and they give convergence, divergence and divergence respectively; so ak\sum a_k converges exactly when h>1h > 1.

step 4.1step 4.2step 9.1cases-exhaustive

Remarks

  • No logarithm anywhere, and that is deliberate. The classical treatment of h=1h = 1 compares aka_k with 1/(klogk)1/(k \log k) or invokes Bertrand's test. Neither is available in this library at this point, and neither is needed: the hypothesis rkCk1ε|r_k| \le C k^{-1-\varepsilon} makes uk\sum |u_k| convergent, and a convergent sum of nonnegative errors is exactly what the product estimate of step 6.1 consumes. The price is that the theorem is stated with an ε\varepsilon of decay to spare, rather than for an arbitrary summable error.

  • Step 7.1 is the Weierstrass product inequality in disguise. In the form j(1xj)1jxj\prod_{j}(1 - x_j) \ge 1 - \sum_j x_j for xj[0,1]x_j \in [0,1], it is the standard statement; here the product is tn+1/tNt_{n+1}/t_N, telescoped in advance, so that one induction does the work of two and no separate lemma about products of inequalities is needed.

  • What the conclusion at h=1h = 1 says about the terms. The estimate am(tN/2)(1/m)a_m \ge (t_N/2)\,(1/m) is a genuine lower bound of harmonic type: at the borderline the terms cannot decay faster than a constant multiple of 1/m1/m, and divergence follows from the divergence of the harmonic series alone.

  • The three cases are decided by hh and by nothing else. The constants CC and ε\varepsilon never appear in the conclusion; they enter only through the requirement that the error be summable, which is what keeps the case h=1h = 1 from being genuinely borderline in this argument.

TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

For a divergent series of positive terms with partial sums sks_k, the series ak/sk\sum a_k/s_k diverges and ak/sk2\sum a_k/s_k^2 converges

Statement

Let (ak)(a_k) be a sequence of reals with ak>0a_k > 0 for every kNk \in \mathbb{N} and suppose ak\sum a_k diverges (Series, partial sums, convergence and the sum, divergence, and the tail series). Write

Sn  :=  k=0nak(nN)S_n \;:=\; \sum_{k=0}^{n} a_k \qquad (n \in \mathbb{N})

for the inclusive partial sums, so that Sn=sn+1S_n = s_{n+1} in the notation sn=k<naks_n = \sum_{k<n} a_k of Series, partial sums, convergence and the sum, divergence, and the tail series. Then Sn>0S_n > 0 for every nNn \in \mathbb{N}, and:

  1. nanSn\displaystyle\sum_{n} \frac{a_n}{S_n} diverges;
  2. nanSn2\displaystyle\sum_{n} \frac{a_n}{S_n^{2}} converges.

Why the divisor is the inclusive partial sum. The exclusive partial sum of Series, partial sums, convergence and the sum, divergence, and the tail series has s0=0s_0 = 0, the empty sum, so a0/s0a_0/s_0 has no value and a series divided by sns_n would have to begin at n=1n = 1. The inclusive sum has S0=a0>0S_0 = a_0 > 0, so both series above are series of sequences on N\mathbb{N} with no shift and no excluded index. The classical statement, which writes sn=a1++ans_n = a_1 + \dots + a_n and starts at n=1n = 1, is this one with the indices moved by one.

What the theorem says. No divergent series of positive terms is slowest: dividing its terms by the running total produces a series that still diverges but whose terms are eventually strictly smaller. Dividing by the square of the running total overshoots and produces a convergent series. Claim 1 is what refutes the existence of a universal comparison series (FALSE: there is a divergent series of positive terms that diverges more slowly than every other, hence a universal comparison test).

Facts & Assumptions

Given: A sequence (ak)(a_k) of reals with ak>0a_k > 0 for every kk, with ak\sum a_k divergent; the exclusive partial sums sn=k<naks_n = \sum_{k<n} a_k and the inclusive partial sums Sn=k=0nak=sn+1S_n = \sum_{k=0}^{n} a_k = s_{n+1} (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).

[L2]

Splitting of finite sums: for mnm \le n, k=0nak=k=0mak+k=m+1nak\sum_{k=0}^{n} a_k = \sum_{k=0}^{m} a_k + \sum_{k=m+1}^{n} a_k, so k=m+1nak=SnSm\sum_{k=m+1}^{n} a_k = S_n - S_m; and monotonicity of finite sums (Laws of finite sums and finite products, Finite sums and finite products, by recursion).

[L3]

The Cauchy criterion: dk\sum d_k converges if and only if for every real ε>0\varepsilon > 0 there is NN with k=m+1ndk<ε\big|\sum_{k=m+1}^{n} d_k\big| < \varepsilon for all n>mNn > m \ge N (A series converges iff for every ε>0\varepsilon > 0 there is NN with am+1++an<ε|a_{m+1} + \dots + a_n| < \varepsilon for all n>mNn > m \ge N).

[L4]

For positive terms, xn0x_n \to 0 if and only if 1/xn+1/x_n \to +\infty (For positive terms, null and divergence to ++\infty are reciprocal, Limits and Cauchy sequences of reals).

[L5]

(bnbn+1)\sum (b_n - b_{n+1}) converges whenever (bn)(b_n) converges ((bkbk+1)\sum (b_k - b_{k+1}) converges iff (bk)(b_k) converges, with sum b0limbkb_0 - \lim b_k).

[L7]

Reciprocation on the positives: 0<xy0 < x \le y implies 0<1/y1/x0 < 1/y \le 1/x (Inverses of positives are positive, and reciprocation reverses order); and x2=xxx^{2} = x \cdot x (Integer powers ama^m).

Proof

technique · direct
1.1

Every SnS_n is a sum of positive terms, so Sn>0S_n > 0; and SnSn+1S_n \le S_{n+1} since Sn+1Sn=an+1>0S_{n+1} - S_n = a_{n+1} > 0, so (Sn)(S_n) is nondecreasing and SmSnS_m \le S_n whenever mnm \le n.

givenL2L1
1.2

Since ak\sum a_k diverges and its terms are nonnegative, the exclusive partial sums are unbounded above and sn+s_n \to +\infty; hence Sn=sn+1+S_n = s_{n+1} \to +\infty, because for a given real MM any index bound KK working for (sn)(s_n) also works for (Sn)(S_n).

givenL1algebra
2.1

For all naturals n>mn > m, using SkSnS_k \le S_n for knk \le n and ak>0a_k > 0: k=m+1nakSk  k=m+1nakSn = SnSmSn = 1SmSn\displaystyle\sum_{k=m+1}^{n} \frac{a_k}{S_k} \ \ge \ \sum_{k=m+1}^{n} \frac{a_k}{S_n} \ = \ \frac{S_n - S_m}{S_n} \ = \ 1 - \frac{S_m}{S_n}.

step 1.1L2L7
2.2

Put bn:=1/Snb_n := 1/S_n, which is positive; since 1/bn=Sn+1/b_n = S_n \to +\infty, the sequence (bn)(b_n) converges to 00.

step 1.1step 1.2L4L7
2.3

For every nNn \in \mathbb{N}: bnbn+1=1Sn1Sn+1=Sn+1SnSnSn+1=an+1SnSn+1  an+1Sn+12 > 0b_n - b_{n+1} = \dfrac{1}{S_n} - \dfrac{1}{S_{n+1}} = \dfrac{S_{n+1}-S_n}{S_n S_{n+1}} = \dfrac{a_{n+1}}{S_n S_{n+1}} \ \ge \ \dfrac{a_{n+1}}{S_{n+1}^{2}} \ > \ 0, the inequality because 0<SnSn+1Sn+120 < S_n S_{n+1} \le S_{n+1}^{2}.

step 1.1L2L7algebra
3.1

Let NNN \in \mathbb{N} be arbitrary and put m:=Nm := N. Since Sn+S_n \to +\infty there is n>mn > m with Sn>2SmS_n > 2 S_m, and then Sm/Sn<1/2S_m/S_n < 1/2, so the block of step 2.1 satisfies k=m+1nak/Sk>1/2\sum_{k=m+1}^{n} a_k/S_k > 1/2.

step 1.2step 2.1L7choose
3.2

Therefore n(bnbn+1)\sum_n (b_n - b_{n+1}) converges.

step 2.2L5
4.1

So no NN witnesses the Cauchy condition for the tolerance ε=1/2\varepsilon = 1/2, and nan/Sn\sum_n a_n/S_n diverges, which is claim 1.

step 3.1L3
5.1

By comparison, nan+1Sn+12\sum_n \dfrac{a_{n+1}}{S_{n+1}^{2}} converges; that series is the 11-st tail series of nanSn2\sum_n \dfrac{a_n}{S_n^{2}}, so the latter converges, which is claim 2.

step 3.2step 2.3L6

Remarks

  • The two claims are not two theorems but one pair of estimates. Divergence comes from bounding a block below by 1Sm/Sn1 - S_m/S_n, which the Cauchy criterion turns into a refutation of convergence; convergence comes from bounding a single term above by a telescoping difference. The first estimate needs SnS_n to grow without bound and the second needs it to be nondecreasing, and both facts come from divergence of ak\sum a_k together with positivity of its terms.

  • The exponent 22 is not optimal, and this page does not pursue that. The classical refinement replaces Sn2S_n^{2} by Sn1+δS_n^{1+\delta} for a rational δ>0\delta > 0; the argument is the same in outline but needs an estimate for SnδSn+1δS_n^{-\delta} - S_{n+1}^{-\delta} that the tools on this page do not supply cleanly. The square is what claim 1 needs a companion for, and it is enough for every use made of the theorem here.

  • Positivity is used at every step. It gives Sn>0S_n > 0, so the quotients exist; it makes (Sn)(S_n) nondecreasing, which both estimates use; and it makes the terms of the two derived series nonnegative, which is what lets comparison and the boundedness criterion apply to them.

RemarkRemark: AI-adaptedProof: Not applicableverified 2026-08-09 (gpt-5.6-terra-codex-subscription)Open item page →

How the nonnegative tests are ordered by strength, and which of them this page cannot state without the logarithm

The tests on this page are not independent criteria of comparable status. Some of them are strictly stronger than others, in the precise sense that whenever the weaker one decides a series, the stronger one decides it the same way, and there are series the stronger one decides and the weaker one does not. This remark records exactly which comparisons are proved here, and, equally importantly, which are not.

Everything on this page is a comparison in disguise. If 0akbk0 \le a_k \le b_k eventually, convergence of bk\sum b_k gives convergence of ak\sum a_k, and divergence of ak\sum a_k gives divergence of bk\sum b_k compares against an arbitrary series; the strength of every later test is the strength of the particular series it compares against. The root and ratio tests compare against a geometric series (For r<1|r| < 1, k0rk=1/(1r)\sum_{k \ge 0} r^k = 1/(1-r), and for r1|r| \ge 1 the series diverges); Raabe's test compares against the harmonic series, through the weights ζk=k+1\zeta_k = k+1 in Kummer: for positive terms aka_k and weights ζk>0\zeta_k > 0, lim inf(ζkak/ak+1ζk+1)>0\liminf(\zeta_k a_k/a_{k+1} - \zeta_{k+1}) > 0 gives convergence, and if 1/ζk\sum 1/\zeta_k diverges while that expression is eventually 0\le 0 the series diverges; and the borderline branch of Gauss: for positive terms, if ak/ak+1=1+h/k+rka_k/a_{k+1} = 1 + h/k + r_k with rkCk1ε|r_k| \le C\,k^{-1-\varepsilon} for k1k \ge 1, some constant CC and some rational ε>0\varepsilon > 0, the series converges iff h>1h > 1 compares against the harmonic series again. For a nonincreasing nonnegative sequence, ak\sum a_k converges iff 2ka2k\sum 2^k a_{2^k} converges is of a different kind: it does not compare, it reindexes, and that is why it settles the whole pp-series family (For rational p>0p > 0, 1/kp\sum 1/k^p converges iff p>1p > 1) in one step.

The comparisons proved on this page.

Two comparisons that are not claimed here. Raabe's test is not compared with the root test on this page, in either direction, and nothing above should be read as ordering them. Nor is Kummer's test claimed to be universal: the choice of weights is free, and the question of which series some choice of weights decides is not addressed.

And one that is refuted. No comparison test can be final. For a divergent series of positive terms with partial sums sks_k, the series ak/sk\sum a_k/s_k diverges and ak/sk2\sum a_k/s_k^2 converges turns any divergent series of positive terms into a divergent series of positive terms with eventually smaller terms, and FALSE: there is a divergent series of positive terms that diverges more slowly than every other, hence a universal comparison test draws the conclusion: there is no slowest divergent series of positive terms, hence no universal comparison test. The hierarchy above is therefore an initial segment of something with no last term, not an approach to a best test.

What this page cannot state, and why. Every gap below is a missing definition, not a missing proof.

  • The pp-series at irrational exponents. Rational powers ara^r of a positive base defines ara^{r} for rational rr and positive aa. So 1/kp\sum 1/k^{p} is a well-formed expression here only for rational pp, and For rational p>0p > 0, 1/kp\sum 1/k^p converges iff p>1p > 1 is the full theorem for every exponent this page can name. Real exponents wait for the exponential and the logarithm.
  • Bertrand's test. Its criterion is a condition on logk(k(ak/ak+11)1)\log k \,\big(k(a_k/a_{k+1} - 1) - 1\big), and it is the natural next member of the Kummer family, with weights ζk=klogk\zeta_k = k \log k. Both the weights and the criterion mention the logarithm, so neither can be written down here.
  • The integral test. It compares f(k)\sum f(k) with f\int f, and the Riemann integral is developed much later in this library. Condensation is the substitute used on this page, and for the pp-series it does the same work.
  • The general form of Gauss's test. The classical statement assumes rk=O(kβ)r_k=O(k^{-\beta}) for some real β>1\beta>1. The version proved here writes β=1+ε\beta=1+\varepsilon with ε\varepsilon a positive rational. This loses no case covered by the classical hypothesis: given β>1\beta>1, choose a rational 0<ε<β10<\varepsilon<\beta-1 and weaken the eventual bound. An error of order 1/(klogk)1/(k\log k) is not a Gauss remainder at h=1h=1; it is the next Bertrand borderline.

A limitation that has been removed, and one that has not. The comparison with a geometric series inside Root test: lim supak1/k<1\limsup |a_k|^{1/k} < 1 gives absolute convergence and hence convergence, >1> 1 gives divergence, and =1= 1 decides nothing and Ratio test: lim supak+1/ak<1\limsup |a_{k+1}/a_k| < 1 gives absolute convergence and hence convergence, and lim infak+1/ak>1\liminf |a_{k+1}/a_k| > 1 gives divergence delivers convergence of ak\sum |a_k| and not, on its own, of ak\sum a_k. That the second follows from the first is If ak\sum |a_k| converges then ak\sum a_k converges, proved on this page from A series converges iff for every ε>0\varepsilon > 0 there is NN with am+1++an<ε|a_{m+1} + \dots + a_n| < \varepsilon for all n>mNn > m \ge N and the triangle inequality for finite sums, so both tests do reach their standard conclusion here. What is not on this page is the rest of that theory: the converse fails, and the alternating harmonic series that witnesses the failure needs the alternating series test, which is not proved here; rearrangement, the Riemann series theorem and products of series belong with it on the page that follows. Nothing above asserts a converse or identifies any sum.

5 · Examples, counterexamples and false statements

False statementConstruction: AI-adaptedVerification: AI-generatedprecheck passverified 2026-08-09 (gpt-5.6-terra-codex-subscription)Open item page →

FALSE: if ak0a_k \to 0 then ak\sum a_k converges

Statement

False claim: for every sequence (ak)(a_k) of reals, if (ak)(a_k) converges to 00 (Limits and Cauchy sequences of reals) then ak\sum a_k converges (Series, partial sums, convergence and the sum, divergence, and the tail series).

What is true is the converse implication, If a series converges then its terms tend to 00: a convergent series has terms tending to 00. The claim above reverses it, and the reversal fails at the very first place one looks, the harmonic series.

The witness is ak:=1/(k+1)a_k := 1/(k+1) for kNk \in \mathbb{N}, which is the family 1/k1/k, k1k \ge 1, written as a sequence on N\mathbb{N}; by Series, partial sums, convergence and the sum, divergence, and the tail series the series of this sequence is exactly k11/k\sum_{k \ge 1} 1/k.

Facts & Assumptions

Given: The sequence ak:=1/ι(k+1)a_k := 1/\iota(k+1), kNk \in \mathbb{N}, where ι(k+1)\iota(k+1) is the canonical natural, positive for every kk (Canonical naturals are positive and strictly increasing).

[L1]

For every real ε>0\varepsilon > 0 there is a natural n1n \ge 1 with 1/n<ε1/n < \varepsilon (For every ε>0\varepsilon > 0 in a complete ordered field there is a natural n1n \ge 1 with 1/n<ε1/n < \varepsilon); and 0<xy0 < x \le y implies 0<1/y1/x0 < 1/y \le 1/x (Inverses of positives are positive, and reciprocation reverses order).

[L2]

Convergence to 00 means: for every rational ε>0\varepsilon > 0 there is KK with ak<ε|a_k| < \varepsilon for all kKk \ge K (Limits and Cauchy sequences of reals).

[L3]

k11/kp\sum_{k \ge 1} 1/k^{p} converges if and only if p>1p > 1; and k1=ι(k)k^{1} = \iota(k), the rational power at exponent 11 being the element itself (For rational p>0p > 0, 1/kp\sum 1/k^p converges iff p>1p > 1, Rational powers ara^r of a positive base, Existence and uniqueness of nn-th roots: a unique a1/n0a^{1/n} \ge 0 with (a1/n)n=a(a^{1/n})^n = a, Integer powers ama^m).

[L4]

The series k1xk\sum_{k \ge 1} x_k from the starting index 11 is by definition the series of the sequence jxj+1j \mapsto x_{j+1} (Series, partial sums, convergence and the sum, divergence, and the tail series).

[L5]

The refuted claim: for every sequence of reals converging to 00, the associated series converges.

Refutation

technique · direct
1.1

Every term ak=1/ι(k+1)a_k = 1/\iota(k+1) is a positive real, the canonical naturals ι(k+1)\iota(k+1) being positive.

givenL1
1.2

The series of (ak)(a_k) is k11/k\sum_{k \ge 1} 1/k, the series from starting index 11 of the family 1/k1/k, since that series is by definition the series of j1/ι(j+1)j \mapsto 1/\iota(j+1).

givenL4
2.1

The sequence (ak)(a_k) converges to 00: given a rational ε>0\varepsilon > 0, choose a natural n1n \ge 1 with 1/n<ε1/n < \varepsilon; then for every knk \ge n we have ι(k+1)ι(n)\iota(k+1) \ge \iota(n), hence ak=1/ι(k+1)1/n<ε|a_k| = 1/\iota(k+1) \le 1/n < \varepsilon.

step 1.1L1L2choose
2.2

That series is the case p=1p = 1 of the pp-series, and p=1p = 1 does not exceed 11, so it diverges.

step 1.2L3
3.1

So (ak)(a_k) converges to 00 while ak\sum a_k diverges, and the claim fails for this sequence.

step 2.1step 2.2L5
4.1

The claim is therefore false, and what survives of it is only the converse implication, that a convergent series has null terms.

step 3.1L5

Remarks

  • The failure is not marginal. The harmonic series has terms tending to 00 and partial sums diverging to ++\infty, so no weakening of the false claim to "the partial sums are bounded" would rescue it either. The rate at which the terms tend to 00 is what decides convergence, and the term test reads no rate at all.

  • The other tests use rate information that the term test ignores. The pp-series theorem distinguishes 1/k1/k from 1/k21/k^2. The basic root and ratio tests do not: for both sequences their relevant limit is the boundary value 11, so those two tests are inconclusive.

False statementConstruction: AI-adaptedVerification: AI-generatedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

FALSE: lim supak+1/ak1\limsup |a_{k+1}/a_k| \ge 1 implies the series diverges

Statement

False claim: for every sequence (ak)(a_k) of reals with ak0a_k \ne 0 for every kk, if

lim supkak+1ak    1\limsup_{k} \Big|\frac{a_{k+1}}{a_k}\Big| \;\ge\; 1

then ak\sum a_k diverges (Series, partial sums, convergence and the sum, divergence, and the tail series, Limit superior and limit inferior of a real sequence as infnsupknxk\inf_n \sup_{k \ge n} x_k and supninfknxk\sup_n \inf_{k \ge n} x_k in R\overline{\mathbb{R}}).

The true divergence half of the ratio test (Ratio test: lim supak+1/ak<1\limsup |a_{k+1}/a_k| < 1 gives absolute convergence and hence convergence, and lim infak+1/ak>1\liminf |a_{k+1}/a_k| > 1 gives divergence) has the hypothesis lim infkak+1/ak>1\liminf_k |a_{k+1}/a_k| > 1, on the limit inferior and with a strict inequality. The claim above weakens it in both respects at once, and either weakening alone already destroys it.

The witness is built from the alternating sequence: with (sk)(s_k) as in The even and odd index maps and the alternating sequence: strictly increasing e,oe, o with N\mathbb{N} their disjoint union, and the unique (sk)(s_k) with s0=1s_0 = 1, sσ(k)=sks_{\sigma(k)} = -s_k, which satisfies sk=1|s_k| = 1, se1s \circ e \equiv 1 and so1s \circ o \equiv -1, put ck:=2+skc_k := 2 + s_k, so ckc_k is 33 at the even indices and 11 at the odd ones, and let

ak  :=  ck2k(kN).a_k \;:=\; c_k \, 2^{-k} \qquad (k \in \mathbb{N}).

Its ratios take only the two values 3/23/2 and 1/61/6, so their limit superior is at least 11, while the series converges by comparison with a geometric series.

Facts & Assumptions

[L1]

The alternating sequence: s0=1s_0 = 1, sk+1=sks_{k+1} = -s_k, sk=1|s_k| = 1 for every kk, sej=1s_{e_j} = 1 and soj=1s_{o_j} = -1, with ee and oo strictly increasing (The even and odd index maps and the alternating sequence: strictly increasing e,oe, o with N\mathbb{N} their disjoint union, and the unique (sk)(s_k) with s0=1s_0 = 1, sσ(k)=sks_{\sigma(k)} = -s_k, which satisfies sk=1|s_k| = 1, se1s \circ e \equiv 1 and so1s \circ o \equiv -1); a strictly increasing index map satisfies njjn_j \ge j (A strictly increasing index map satisfies nkkn_k \ge k).

[L2]

Powers of 22: 2k>02^{-k} > 0, 2(k+1)=2k/22^{-(k+1)} = 2^{-k}/2, and 2k=1/2k2^{-k} = 1/2^{k} (Integer powers ama^m, Laws of integer exponents, Monotonicity of xxnx \mapsto x^n and of nann \mapsto a^n).

[L5]

The ratio test: lim infkak+1/ak>1\liminf_k |a_{k+1}/a_k| > 1 gives divergence, and that is the only divergence criterion it supplies (Ratio test: lim supak+1/ak<1\limsup |a_{k+1}/a_k| < 1 gives absolute convergence and hence convergence, and lim infak+1/ak>1\liminf |a_{k+1}/a_k| > 1 gives divergence).

[L6]

The refuted claim: for every sequence of nonzero reals with lim supkak+1/ak1\limsup_k |a_{k+1}/a_k| \ge 1, the series ak\sum a_k diverges.

Refutation

technique · direct
1.1

Each sks_k is 11 or 1-1, since sk=1|s_k| = 1; so ck=2+skc_k = 2 + s_k is 33 or 11, in either case 1ck31 \le c_k \le 3 and ck>0c_k > 0.

givenL1
2.1

Hence ak=ck2k>0a_k = c_k 2^{-k} > 0 for every kk, so in particular ak0a_k \ne 0 and the claim applies to (ak)(a_k).

step 1.1L2L6
2.2

For every kk, 0<ak=ck2k32k0 < a_k = c_k 2^{-k} \le 3 \cdot 2^{-k}.

step 1.1L2
3.1

The ratios are qk:=ak+1/ak=ak+1/ak=ck+1ck12q_k := |a_{k+1}/a_k| = a_{k+1}/a_k = \dfrac{c_{k+1}}{c_k}\cdot\dfrac{1}{2}, so qk=(1/3)(1/2)=1/6q_k = (1/3)(1/2) = 1/6 when sk=1s_k = 1 and qk=3(1/2)=3/2q_k = 3 \cdot (1/2) = 3/2 when sk=1s_k = -1, using sk+1=sks_{k+1} = -s_k.

step 1.1step 2.1L1L2algebra
3.2

The geometric series k(1/2)k\sum_k (1/2)^{k} converges, since 1/2<1|1/2| < 1; hence so does k32k\sum_k 3 \cdot 2^{-k}, and by comparison so does kak\sum_k a_k.

step 2.2L2L4
4.1

For every nNn \in \mathbb{N} there is an index knk \ge n with sk=1s_k = -1, namely k=onk = o_n, since onno_n \ge n; so qk=3/2q_k = 3/2 at some index knk \ge n, for every nn.

step 3.1L1
5.1

Therefore every tail supremum satisfies sup{qk:kn}3/2\sup\{q_k : k \ge n\} \ge 3/2, so 3/23/2 is a lower bound of the set of tail suprema and lim supkqk3/21\limsup_k q_k \ge 3/2 \ge 1.

step 4.1L3
6.1

So (ak)(a_k) has nonzero terms and lim supkak+1/ak1\limsup_k |a_{k+1}/a_k| \ge 1, yet ak\sum a_k converges; the claim fails for it and is therefore false.

step 2.1step 5.1step 3.2L6
7.1

Nothing in the ratio test is contradicted: its divergence half requires lim infkqk>1\liminf_k q_k > 1, and here lim infkqk1/6<1\liminf_k q_k \le 1/6 < 1, since qk=1/6q_k = 1/6 at indices enne_n \ge n for every nn.

step 6.1step 3.1L1L3L5

Remarks

  • Replacing lim inf\liminf by lim sup\limsup is already fatal, even with the inequality kept strict. The witness above has lim supkqk3/2\limsup_k q_k \ge 3/2, which is strictly greater than 11, and its series converges. So the false claim is not rescued by demanding lim supkak+1/ak>1\limsup_k |a_{k+1}/a_k| > 1: the two quantities lim inf\liminf and lim sup\limsup are genuinely different hypotheses here, and only the first one works.

  • The asymmetry of the ratio test is not an accident of its proof. A large ratio occurring arbitrarily late says only that the terms grow at those steps; it says nothing about their size, because they may have been made very small in between. Only an eventual lower bound on the ratios forces the terms to stay away from 00, and that is precisely a hypothesis on lim inf\liminf.

False statementConstruction: AI-adaptedVerification: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27Open item page →

FALSE: there is a divergent series of positive terms that diverges more slowly than every other, hence a universal comparison test

Statement

False claim: there is a sequence (bk)(b_k) of reals with bk>0b_k > 0 for every kNk \in \mathbb{N} such that bk\sum b_k diverges (Series, partial sums, convergence and the sum, divergence, and the tail series) and such that every sequence (ak)(a_k) of reals with ak>0a_k > 0 for every kk and ak\sum a_k divergent satisfies

bkakfor all k from some index on.b_k \le a_k \quad \text{for all } k \text{ from some index on.}

Such a (bk)(b_k) would be a slowest divergent series of positive terms, and it would give a universal comparison test: a positive series would diverge exactly when its terms eventually dominate those of (bk)(b_k).

No such sequence exists. The refutation is direct and uses no choice: given any divergent bk\sum b_k with positive terms, the Abel-Dini theorem (For a divergent series of positive terms with partial sums sks_k, the series ak/sk\sum a_k/s_k diverges and ak/sk2\sum a_k/s_k^2 converges) manufactures a divergent series of positive terms whose terms are eventually strictly smaller than the bkb_k, so (bk)(b_k) fails its own defining property.

Facts & Assumptions

Given: An arbitrary sequence (bk)(b_k) of reals with bk>0b_k > 0 for every kk and bk\sum b_k divergent; its inclusive partial sums Bn=k=0nbkB_n = \sum_{k=0}^{n} b_k (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).

[L2]

Abel-Dini: if (ak)(a_k) has positive terms and ak\sum a_k diverges, then with Sn=k=0nakS_n = \sum_{k=0}^{n} a_k the series nan/Sn\sum_n a_n/S_n diverges (For a divergent series of positive terms with partial sums sks_k, the series ak/sk\sum a_k/s_k diverges and ak/sk2\sum a_k/s_k^2 converges).

[L3]

Order and reciprocals: for x>0x > 0 and y>1y > 1 one has 0<x/y<x0 < x/y < x (Inverses of positives are positive, and reciprocation reverses order); and a sum of positive terms is positive (Laws of finite sums and finite products).

[L4]

The refuted claim: some divergent series of positive terms is eventually dominated by every divergent series of positive terms.

Refutation

technique · direct
1.1

Let (bk)(b_k) be any sequence of positive reals with bk\sum b_k divergent, and put Bn=k=0nbkB_n = \sum_{k=0}^{n} b_k; every BnB_n is positive, being a sum of positive terms.

givenL3
1.2

Since bk\sum b_k diverges and its terms are nonnegative, its exclusive partial sums sn=k<nbks_n = \sum_{k<n} b_k diverge to ++\infty; and Bn=sn+1B_n = s_{n+1}, so Bn+B_n \to +\infty as well, any index bound for (sn)(s_n) serving for (Bn)(B_n).

givenL1algebra
2.1

Define cn:=bn/Bnc_n := b_n / B_n for nNn \in \mathbb{N}. Each cnc_n is positive, and by Abel-Dini applied to (bk)(b_k) the series cn\sum c_n diverges.

step 1.1L2L3
2.2

Since Bn+B_n \to +\infty there is NNN \in \mathbb{N} with Bn>1B_n > 1 for every nNn \ge N; for such nn, cn=bn/Bn<bnc_n = b_n/B_n < b_n.

step 1.2L3choose
3.1

So (cn)(c_n) is a sequence of positive reals with cn\sum c_n divergent, and there is no index from which bncnb_n \le c_n holds onwards: given any KK, at every index nn that is at least both KK and NN one has cn<bnc_n < b_n.

step 2.1step 2.2
4.1

Therefore the sequence (bk)(b_k) does not have the property demanded of it, and since (bk)(b_k) was an arbitrary divergent series of positive terms, no such sequence exists and the claim is false.

step 3.1L4

Remarks

  • What this rules out. There is no fixed series against which comparison decides divergence for all positive series, so the direct comparison test is unavoidably a family of tests, one for each comparison series, with none of them final. The refutation is constructive in the strong sense: it does not merely show that a slowest series cannot exist, it exhibits, for each candidate, a specific divergent series that beats it.

  • The scale of tests on this page inherits the same limitation. Ratio, Raabe and Gauss are successive refinements, each deciding series the previous one cannot, and the argument above says the sequence of refinements can never terminate in a universal criterion. What Kummer's test adds is a uniform way of describing the whole family, by naming the weights; it does not escape the obstruction, since each choice of weights is still a comparison against the single series 1/ζk\sum 1/\zeta_k.

Sources

Standard references

Recommended treatments; not extraction sources.