How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Series: Convergence and the Nonnegative Tests
1 · Prerequisites
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Foundations of the Real Numbers for Analysis
- limsup, liminf, and Subsequential Limits
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Order, Zorn's Lemma, and the Axiom of Choice
- Relations, Functions, and Quotients
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Suprema and Infima
- The ZFC Axioms and the Basic Set Constructions
2 · Summary
A note on the notation . A natural number here is a von Neumann natural, that is a set, so it is not an element of and cannot be divided into . The canonical natural is the real number that names (Canonical naturals are positive and strictly increasing), so is what an informal text writes as ; the shift by one is there because contains and .
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 , so that is the empty sum and is exactly the recursion of Finite sums and finite products, by recursion with no shift. Sequences in this library are functions on and contains (Sequences of reals: bounded, eventually, frequently, tails, subsequences), while many classical series are built from expressions undefined at : , , . So Series, partial sums, convergence and the sum, divergence, and the tail series also defines the series of a family from a general starting index , as the series of the shifted sequence . Every statement on this page says which starting index it uses, and the ones that must start at 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 plus the -th tail says convergence depends only on the terms from any index on, with the sum splitting as plus the -th tail sum. If a series converges then its terms tend to gives the necessary condition that the terms tend to , and FALSE: if then converges records at once that it is not sufficient. A series converges iff for every there is with for all is the sharp version: convergence is equivalent to a bound on every block with , 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 converges then converges proves that convergence of forces convergence of : 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 , , and for the series diverges evaluates for and shows divergence for ; it is the comparison object behind the root and ratio tests. converges iff converges, with sum handles , whose partial sums are , 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 eventually, convergence of gives convergence of , and divergence of gives divergence of compares against an arbitrary series, For with : if the two series share their behaviour, while and give one implication each does the same through the quotient , phrasing the infinite case as divergence to (Divergence to and to ) rather than as an extended limit equation, and For a nonincreasing nonnegative sequence, converges iff converges reindexes instead of comparing, squeezing blocks of terms between copies of the first and copies of the last. Condensation settles the whole -series family at a stroke: For rational , converges iff proves that converges exactly when , for every rational , which is every exponent this page can name (Rational powers of a positive base).
The tests that read the terms against a geometric series. Root test: gives absolute convergence and hence convergence, gives divergence, and decides nothing and Ratio test: gives absolute convergence and hence convergence, and gives divergence are stated with and in , so their hypotheses always mean something (The tail suprema of any real sequence are nonincreasing in , so the limit superior exists for every sequence); the root family is written , the shift of For : , since is undefined at . What the comparison with a geometric series delivers in each case is convergence of ; If converges then converges carries it the rest of the way, so both tests are stated in their standard form, concluding convergence of itself. Whenever the ratio test decides, the root test decides the same way, and the converse fails reads the chain of For : through the two tests: whenever the ratio test decides, the root test decides the same way, and the standard witness shows the converse fails. FALSE: implies the series diverges records why the divergence half of the ratio test is stated with and a strict inequality.
The tests that read the rate at which the ratios approach . Kummer: for positive terms and weights , gives convergence, and if diverges while that expression is eventually the series diverges is a family of criteria, one for each positive weight sequence , and its strength is the strength of the divergent series it carries. Positivity of the terms is load bearing there, not a normalisation: with the convergent series satisfies every hypothesis of the divergence half, so the half is false without it. Constant weights recover the ratio test (Kummer with recovers the ratio test) and the weights give Raabe is Kummer with : for positive terms, gives convergence and gives divergence, whose comparison series is the harmonic one. Gauss: for positive terms, if with for , some constant and some rational , the series converges iff covers the case Raabe leaves open: under the expansion with the series converges exactly when , and the borderline is proved divergent without any logarithm, by a telescoping product estimate that bounds below by a constant.
The hierarchy has no last term. For a divergent series of positive terms with partial sums , the series diverges and 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
Series, partial sums, convergence and the sum, divergence, and the tail series
Definition
Throughout, is the complete ordered field (The real numbers) and a sequence of reals is a function (Sequences of reals: bounded, eventually, frequently, tails, subsequences), written ; recall that contains .
Partial sums. Let be a sequence of reals. Its sequence of partial sums is
the finite sum of Finite sums and finite products, by recursion. In particular , the empty sum, and for every , those being exactly the two recursion clauses that define the finite sum. Note that is the sum of the terms , so the index counts terms rather than naming the last one.
Convergence, the sum, divergence. The series of , written , converges when the sequence of partial sums converges (Limits and Cauchy sequences of reals), and then the sum of the series is
The series diverges when 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 and let be a function on , which we call a family from and write . The series
is by definition the series of the sequence , , which is a genuine sequence of reals; it converges exactly when that series converges, and its sum is then written . Its partial sums are
in the notation of Finite sums and finite products, by recursion, the value at being the empty sum . A sequence on is the case , and the two readings of agree there, since .
This clause is not a convenience. Sequences in this library are functions on and contains (Sequences of reals: bounded, eventually, frequently, tails, subsequences), while many of the classical series are built from expressions that are undefined at the index : , and all require . Writing such a series as names an honest object, whereas writing it as a sequence on 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 , the -th tail series of is , that is the series of the -th tail of Sequences of reals: bounded, eventually, frequently, tails, subsequences, whose terms are . The -th tail series is the series itself.
Remarks
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"Diverges" here means "does not converge", and nothing more. A divergent series may have partial sums that run away to , or to , 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.
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The symbol 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 and of .
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Two indices, doing different work. The index runs over the terms and is bound; the index 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 rather than : with this choice the recursion is the one supplied by Finite sums and finite products, by recursion, with no shift anywhere.
A series converges iff each of its tail series converges, and the sum splits as plus the -th tail
Statement
Let be a sequence of reals with partial sums , let , and let be the partial sums of the -th tail series (Series, partial sums, convergence and the sum, divergence, and the tail series). Then:
- for every ;
- converges if and only if its -th tail series converges, and in that case
- hence the following are equivalent: converges; every tail series of converges; some tail series of 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 of reals, a natural number , the partial sums and the partial sums of the -th tail series (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).
Splitting of finite sums: if then (Laws of finite sums and finite products), and is by definition (Finite sums and finite products, by recursion).
Convergence depends only on the tail: a sequence converges to if and only if its -th tail converges to (Convergence depends only on the tail, Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Algebra of limits: if and then and (Algebra of limits: sums, scalar multiples, products and quotients).
A constant sequence converges to , immediately from the definition of a limit (Limits and Cauchy sequences of reals).
Proof
Fix and put , so that and .
The family is the -th tail of the sequence of partial sums.
Splitting the partial sum at gives .
Suppose converges, say ; then the -th tail converges to .
Claim 1 follows: for every .
The constant sequence with value converges to , so , and the -th tail series converges with sum .
Conversely, suppose the -th tail series converges, say ; then by the same two rules.
So the -th tail of converges to , hence itself converges to and converges.
Claim 2 follows: the two convergences are equivalent, and when they hold the sums are related by , which is the displayed identity.
Claim 3 follows as well: if 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 ; and if some tail series, say the -th, converges then by claim 2 again converges.
Remarks
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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.
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The sum does change. Only the fact of convergence is tail invariant. The identity in claim 2 is the exact bookkeeping: discarding the first terms lowers the sum by , and no more.
If a series converges then its terms tend to
Statement
Let be a sequence of reals. If the series converges (Series, partial sums, convergence and the sum, divergence, and the tail series) then the sequence converges (Limits and Cauchy sequences of reals), with
Equivalently, in the contrapositive form in which the lemma is almost always used: if does not converge to then diverges.
The same statement holds for a series with a general starting index, with the conclusion that converges to : that series is by definition the series of the sequence (Series, partial sums, convergence and the sum, divergence, and the tail series), so it is the statement above applied to .
The converse is false; it is refuted by FALSE: if then converges.
Facts & Assumptions
Given: A sequence of reals whose series converges, with partial sums (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).
The recursion clause of the finite sum: for every (Finite sums and finite products, by recursion, Series, partial sums, convergence and the sum, divergence, and the tail series).
Convergence depends only on the tail: if converges to then so does its -st tail (Convergence depends only on the tail, Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Algebra of limits: if and then (Algebra of limits: sums, scalar multiples, products and quotients).
Proof
The sequence is the -st tail of , and it converges to .
From the recursion clause, for every .
Hence is the difference of two sequences converging to , so it converges to .
That is the claim, and its contrapositive is the assertion that a series whose terms do not tend to diverges.
Remarks
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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 and diverges, which is exactly the content of FALSE: if then converges.
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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 , and none is available at this point on the page.
A series converges iff for every there is with for all
Statement
Let be a sequence of reals, with partial sums (Series, partial sums, convergence and the sum, divergence, and the tail series). Then converges if and only if
The block is the finite sum of Finite sums and finite products, by recursion, and it equals .
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 of reals with partial sums (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).
Splitting of finite sums: if then (Laws of finite sums and finite products, Finite sums and finite products, by recursion).
Every convergent sequence of reals is Cauchy (Every convergent sequence is Cauchy).
Every Cauchy sequence of reals converges (The Cauchy criterion from the least-upper-bound property: in a complete ordered field every Cauchy sequence converges).
Cauchyness reads: for every rational there is with for all (Limits and Cauchy sequences of reals). Rational and real tolerances give the same condition, because every real exceeds some rational with natural (For every in a complete ordered field there is a natural with ), and conversely every positive rational is a positive real.
Proof
For all naturals , splitting at the index gives , hence .
Conversely, every pair of naturals is of the form , with .
Suppose converges, that is converges; then is Cauchy.
Suppose conversely that the stated condition holds, and let a rational be given; take for as in the condition and put .
Let a real be given, choose a rational with , and take for as in the Cauchy condition; put .
Let . If then ; otherwise one of them exceeds the other, and by symmetry we may take .
For all one has , so , which is the stated condition.
Writing and gives and , so the condition applies and .
So is Cauchy, hence converges, hence converges.
The two implications together are the stated equivalence.
Remarks
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The criterion is stated over blocks, not over partial sums, on purpose. In applications one estimates a run of consecutive terms directly; the translation into is step 1.1 and is done once here so that no later proof has to repeat it.
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Taking recovers the term test. The single-term block gives for all , which is ; so If a series converges then its terms tend to is the weakest consequence of this criterion. The criterion is strictly stronger, since it constrains arbitrarily long blocks and not only single terms.
Convergent series add and scale termwise
Statement
Let and be sequences of reals whose series converge (Series, partial sums, convergence and the sum, divergence, and the tail series), and let . Then:
- converges, with ;
- converges, with .
Moreover, for and an arbitrary sequence , whose series is not assumed to converge:
- converges if and only if converges. Equivalently, diverges if and only if diverges.
Claim 3 is the form used whenever a comparison is made against a constant multiple of a known series.
Facts & Assumptions
Given: Sequences , of reals and , with partial sums and (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).
Additivity and scaling of finite sums: and (Laws of finite sums and finite products).
Algebra of limits: if and then and (Algebra of limits: sums, scalar multiples, products and quotients).
Proof
The partial sums of are , and those of are .
Assume and converge, say and .
Then , so converges with sum , which is claim 1.
Likewise , so converges with sum , which is claim 2.
For claim 3, let and let be arbitrary. If converges then converges by claim 2.
Conversely, if converges then applying claim 2 to the sequence and the scalar , which exists since , shows that converges.
The two implications are claim 3, and its contrapositive form is the statement about divergence.
Remarks
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There is no product rule here, and there is no rule for . 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.
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Claim 3 needs 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.
If converges then converges
Statement
Let be a sequence of reals. If the series converges (Series, partial sums, convergence and the sum, divergence, and the tail series) then the series converges.
A series with the property that 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 , being this statement applied to the shifted sequence (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 of reals such that the series 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.
The Cauchy criterion for series: converges if and only if for every real there is with for all (A series converges iff for every there is with for all , Series, partial sums, convergence and the sum, divergence, and the tail series).
Triangle inequality for finite sums: (Triangle inequality for finite sums); the block is by definition the finite sum (Finite sums and finite products, by recursion), so applying the inequality to the shifted sequence gives for all naturals .
Monotonicity of finite sums: if for all then (Laws of finite sums and finite products).
Absolute value: for every real , and whenever (Basic properties of the absolute value).
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
Let be an arbitrary real; since converges, the Cauchy criterion applied to the sequence supplies with for all .
For all naturals the block is a finite sum of nonnegative terms, hence nonnegative, hence equal to its own absolute value.
So for all one has .
As was arbitrary, the sequence satisfies the Cauchy criterion, so converges.
Remarks
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Nothing here identifies the two sums, and they are in general different. What is proved is that the second series converges, not that it converges to the same value; the bound is true and is not needed anywhere on this page, so it is not proved here.
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Why the Cauchy criterion is the right instrument. The terms have no sign, so A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum does not apply to and boundedness of its partial sums would prove nothing. The Cauchy criterion is the one convergence test on this page that never names a candidate sum and never asks for a sign, and the whole proof is the observation that its hypothesis for implies its hypothesis for , term by term, through one application of the finite triangle inequality.
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What this unlocks on this page. The root test (Root test: gives absolute convergence and hence convergence, gives divergence, and decides nothing) and the ratio test (Ratio test: gives absolute convergence and hence convergence, and gives divergence) each produce convergence of directly, by comparison with a geometric series; with this lemma both reach their standard conclusion, the convergence of itself. Without it their convergence halves would be strictly weaker than the classical statements.
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The systematic theory is elsewhere. Rearrangement, the Riemann series theorem, conditional convergence and products of series all belong with absolute convergence and are developed on a later page of this track. This lemma is only the one implication those two tests need.
For , , and for the series diverges
Statement
Let and let be the integer power (Integer powers ), so that for every , including .
- If then the series converges (Series, partial sums, convergence and the sum, divergence, and the tail series) and
- If then diverges.
The series starts at and its first term is ; in particular , while the series starting at sums to . Which starting index is meant has to be said, and it is said here.
Facts & Assumptions
Given: A real number , the integer powers (Integer powers ), and the partial sums of (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).
Factorisation of a difference of powers: for and natural , (Factorisation of , and the resulting Lipschitz estimate).
For the sequence is null, that is (For the sequence is null, and for the sequence diverges to ).
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).
Absolute value: , , and exactly when ; also , since (Basic properties of the absolute value).
Powers and order: for every ; if and then ; and for every (Monotonicity of and of , Integer powers ).
The principle of induction (The principle of mathematical induction).
If a series converges then its terms tend to (If a series converges then its terms tend to ).
Notation of Finite sums and finite products, by recursion: is , and the empty sum is .
Proof
Assume .
Assume instead .
For every natural , applying [L1] with and gives , using and the notation of [L8].
At the identity also holds, both sides being because and is the empty sum.
In the case we have , since and ; hence .
In the case , an induction gives for every : at both sides are , and if then .
In the case we get for every : at this reads , and for it is the comparison .
In the case , dividing by gives for every .
In the case , combining the two previous steps gives for every .
In the case the sequence is null, so and therefore , the denominator being the nonzero constant ; hence converges with sum , which is claim 1.
In the case the sequence does not converge to , since the rational tolerance admits no index with for all ; so by the term test diverges, which is claim 2.
The two cases and exhaust the possibilities, since the order on is total, so claims 1 and 2 together cover every real .
Remarks
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The divergence half needs no separate treatment of and . Both are covered by , and the single reason is the same in every case: the terms have absolute value at least , so they cannot tend to . For the partial sums are and run to ; for they oscillate between and . 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).
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Why the identity is proved at separately. Factorisation of , and the resulting Lipschitz estimate requires , since its right-hand side is a sum over of a term involving , and is not a natural number at . The identity is still true at , 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.
converges iff converges, with sum
Statement
Let be a sequence of reals and put . Then the partial sums of are
and consequently converges (Series, partial sums, convergence and the sum, divergence, and the tail series) if and only if converges (Limits and Cauchy sequences of reals), in which case
For a family from a general starting index the same statement holds with replaced by , being this statement applied to the shifted sequence (Series, partial sums, convergence and the sum, divergence, and the tail series).
Facts & Assumptions
Given: A sequence of reals, the sequence , and the partial sums (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).
Telescoping of finite sums: for every sequence of reals and every (Laws of finite sums and finite products).
Algebra of limits: if and then (Algebra of limits: sums, scalar multiples, products and quotients).
A constant sequence with value converges to (Limits and Cauchy sequences of reals).
Proof
Apply [L1] to the sequence : it gives , that is .
So for every , and equivalently .
Suppose converges, say ; then , so converges with sum .
Suppose conversely that converges, say ; then , so converges.
The two implications give the stated equivalence, and in the convergent case step 3.1 gives the sum .
Remarks
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The first term of 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 and not , because the partial sum starts at (Series, partial sums, convergence and the sum, divergence, and the tail series). A series written from telescopes to instead.
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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 of any sign and is not restricted to the decreasing case in which telescoping series usually appear.
A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum
Statement
Let be a sequence of reals with for every , let be its partial sums and let be the range of (Series, partial sums, convergence and the sum, divergence, and the tail series). Then:
- is nondecreasing (Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences) and for every ;
- converges if and only if is bounded above (Lower bound, bounded below, bounded set), and in that case so in particular for every ;
- if is not bounded above then (Divergence to and to ) and 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 of reals with for every , its partial sums , and the range (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).
The recursion clause of the finite sum: (Finite sums and finite products, by recursion).
Consecutive comparisons suffice for monotonicity: is nondecreasing if and only if for every ; and a nondecreasing sequence is bounded below by its first term (Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences).
Monotonicity of finite sums: if for all then (Laws of finite sums and finite products).
A monotone sequence converges if and only if it is bounded, that is if and only if there is with for every (A monotone sequence converges if and only if it is bounded, Sequences of reals: bounded, eventually, frequently, tails, subsequences).
A nondecreasing sequence bounded above converges to the supremum of its range, which exists by the least-upper-bound property (A nondecreasing sequence bounded above converges to the supremum of its range, and a nonincreasing sequence bounded below to the infimum, Complete ordered field (least-upper-bound property), Lower bound, bounded below, bounded set).
A nondecreasing sequence whose range is not bounded above diverges to (A nondecreasing sequence that is not bounded above diverges to , Divergence to and to ).
Proof
For every , , so and is nondecreasing.
For every , , all terms being nonnegative.
Claim 1 is steps 1.1 and 1.2 together.
Since we have , so is bounded in the sense of [L4] if and only if is bounded above.
By [L4] applied to the monotone sequence , the series converges if and only if is bounded, hence if and only if is bounded above.
If is bounded above then converges to , so converges with sum ; and since is an upper bound of , for every .
If is not bounded above then , and by step 3.1 the series diverges.
The equivalence and the identification of the sum as the supremum together make claim 2, and the divergence statement is claim 3.
Remarks
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"Bounded" and "bounded above" coincide here, and only here. The equivalence used in step 2.2 rests on , which rests on every term being nonnegative. For a series with terms of both signs the partial sums can be bounded above and still fail to converge, so nothing in this theorem survives the loss of the sign hypothesis. That failure is exhibited by Two series with for all , convergent and divergent, when the terms may be negative ↗ on the companion page.
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Claim 3 is a strictly stronger statement than "diverges". Divergence alone permits oscillation (Series, partial sums, convergence and the sum, divergence, and the tail series); for nonnegative terms it cannot occur, and the partial sums necessarily run to . This is what licenses the phrase "the series diverges to " for nonnegative terms, and it is what the Abel-Dini theorem later on this page uses.
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This criterion is the monotone convergence property, worn differently. The proof above is monotone convergence for applied to the nondecreasing sequence of partial sums, and nothing is lost going back the other way. Given a nondecreasing sequence of reals, put and let , ; then (Series, partial sums, convergence and the sum, divergence, and the tail series), the partial sums are bounded exactly when is bounded above, and claim 1 returns the convergence of and so of . Testing boundedness of partial sums is therefore not a device special to series. Read in the vocabulary of The five completeness properties of an ordered field: least upper bound, monotone convergence, nested intervals, Bolzano-Weierstrass, and Cauchy completeness it is the property (MCT), which in an arbitrary ordered field already forces the Archimedean property on its own (The monotone convergence property alone forces the Archimedean property, so it carries no separate Archimedean hypothesis) and with it the least-upper-bound property (The monotone convergence property plus the Archimedean property imply the least-upper-bound property). The translation just given is carried out in , since Series, partial sums, convergence and the sum, divergence, and the tail series is stated for sequences of reals and this library defines no series over a general ordered field.
If eventually, convergence of gives convergence of , and divergence of gives divergence of
Statement
Let and be sequences of reals and suppose there is with
Then:
- if converges then converges (Series, partial sums, convergence and the sum, divergence, and the tail series);
- if diverges then diverges.
The same statement holds verbatim for series with a general starting index , 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 from that index on.
Facts & Assumptions
Given: Sequences , of reals and with for all ; the partial sums and of the -th tail series (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).
Monotonicity of finite sums: if for all then (Laws of finite sums and finite products).
A series converges if and only if its -th tail series converges (A series converges iff each of its tail series converges, and the sum splits as plus the -th tail).
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
For every the index is at least , so ; in particular both tail series have nonnegative terms.
Assume converges. Then its -th tail series converges.
By monotonicity of finite sums, for every .
That tail series has nonnegative terms, so its partial sums satisfy for every , where is its sum.
Hence for every , so the range of is bounded above by .
The tail series has nonnegative terms and partial sums bounded above, so it converges.
Therefore converges, which is claim 1.
Claim 2 is the contrapositive of claim 1: if diverges then cannot converge.
Remarks
-
Both nonnegativity hypotheses are used, and in different places. is what lets convergence of be read off from boundedness of its partial sums, and is what makes the sum of an upper bound for the partial sums . Drop the sign hypothesis and the theorem is false, not merely unproved; the companion page exhibits a pair with for every , convergent and divergent.
-
The comparison is with a series, not with a limit. No quotient appears and no is required to be nonzero, which is what distinguishes this test from the limit comparison test proved next.
For with : if the two series share their behaviour, while and give one implication each
Statement
Let and be sequences of reals with and for every , and put . Then:
- if converges with for a real (Limits and Cauchy sequences of reals), then converges if and only if converges;
- if converges with , then convergence of implies convergence of ; equivalently, divergence of implies divergence of ;
- if diverges to (Divergence to and to ), then convergence of implies convergence of ; equivalently, divergence of implies divergence of .
In each clause the convergence of , or its divergence to , is part of the hypothesis, so the symbol 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 , convergent and divergent.
For families from a general starting index the statement is the same, applied to the shifted sequences and (Series, partial sums, convergence and the sum, divergence, and the tail series).
On the third regime. "" is written here as divergence of to in the sense of Divergence to and to , and never as a limit equation with an infinite right-hand side. A sequence diverging to has no limit in , and this library does not write .
Facts & Assumptions
Given: Sequences , of reals with and for every , the quotients , and the assumption that one of the three regimes of the Statement holds: converges with for some real ; or converges with ; or diverges to (A sequence has at most one limit).
Convergence to means: for every rational there is with for all ; and the same holds for every real , since every real exceeds some rational with natural (Limits and Cauchy sequences of reals, For every in a complete ordered field there is a natural with , Sequences of reals: bounded, eventually, frequently, tails, subsequences).
means: for every real there is with for all (Divergence to and to ).
Direct comparison: if for all from some index on, then convergence of gives convergence of (If eventually, convergence of gives convergence of , and divergence of gives divergence of ).
For : converges if and only if converges (Convergent series add and scale termwise).
Since and , the field laws give . 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
Assume converges with for a real .
Assume instead converges with .
Assume instead diverges to .
In the case , apply [L1] with the real tolerance : there is with , hence , for all .
In the case , apply [L1] with the rational tolerance : there is with , hence , for all .
In the case , apply [L2] with : there is with for all .
In the case , multiplying by turns step 2.1 into for all , and all three quantities are positive.
In the case , multiplying by turns step 2.2 into for all .
In the case , multiplying by turns step 2.3 into for all .
In the case : if converges then so does , and for , so converges.
In the case : if converges then, since for , the series converges, and gives convergence of .
In the case : for , so convergence of gives convergence of , and the contrapositive is the divergence form.
In the case : for , so convergence of gives convergence of , and the contrapositive is the divergence form.
The two implications in the case 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.
Remarks
-
Why the three regimes are treated as one proof. The Statement is a conjunction of three implications, each with its own hypothesis on . 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 is needed twice. It is what makes defined at all, and it is what lets an inequality between the be multiplied through to an inequality between the and the without reversing. Positivity of is what supplies the lower bound that the direct comparison test requires.
-
The limit is only used through an eventual two-sided estimate. No step needs the exact value of , only that 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 is stronger than what the proof consumes.
For a nonincreasing nonnegative sequence, converges iff converges
Statement
Let be a family from (Series, partial sums, convergence and the sum, divergence, and the tail series) with
Then
Every term of the condensed series is defined, because for every (Monotonicity of and of ), and the condensed series starts at , its first term being .
The monotonicity hypothesis is equivalent to the consecutive form for every , since it says that the sequence , , 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 of reals with for and whenever ; the partial sums of , with ; and the partial sums of the condensed series (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).
Splitting of finite sums, and the meaning of a sum with general bounds: for , , and (Laws of finite sums and finite products, Finite sums and finite products, by recursion).
Monotonicity and scaling of finite sums: if for all then ; and a constant sum is (Laws of finite sums and finite products).
Powers of : for every , , and (Integer powers , Monotonicity of and of ).
The principle of induction (The principle of mathematical induction).
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
Every term of the condensed series is nonnegative, since and ; and every , every is nonnegative, both series having nonnegative terms.
For every the block from to is , since the number of terms is .
For every the block from to is , since the number of terms is .
Index growth: for every , by induction on . At this reads ; and if , that is , then , the second inequality being .
In the first block every index satisfies , so , and therefore .
In the second block every index satisfies for , so , and therefore .
Suppose the condensed series converges, with sum ; then for every .
Suppose conversely that converges, with sum ; then for every .
Upper estimate: for every , by induction on . At both sides are , since and is the empty sum; and if , then splitting at gives .
Lower estimate: for every , by induction on . At the right-hand side is the empty sum and the left-hand side is ; and if the inequality holds at , then splitting at gives , whence .
For every we have , so , the first inequality because the partial sums are nondecreasing.
For every , , and splitting the condensed partial sum at gives .
So the partial sums of are bounded above by , and that series converges.
Also , so every condensed partial sum is at most , and the condensed series converges.
The two implications just established combine, so the two series converge or diverge together.
Remarks
-
What monotonicity buys, in one sentence. It lets a block of consecutive terms be squeezed between copies of its last term and 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 in the lower estimate is not an artefact. The blocks used for the two estimates are different: the upper estimate groups and the lower estimate groups , and the second grouping produces , which is half of the condensed term . Since only boundedness of the partial sums is at stake, a constant factor is harmless.
-
Base is a choice, not a necessity. The same argument with blocks of length gives the analogous test for any integer . Base is taken here because it is the one every later application uses, and because the arithmetic of keeps the induction free of extra bookkeeping.
For rational , converges iff
Statement
Let with . For a natural number write for the canonical natural, which is positive (Canonical naturals are positive and strictly increasing), and write for its rational power (Rational powers of a positive base). Then
In particular the harmonic series diverges, at , and converges, at .
The index range is not cosmetic. The series starts at because is undefined: Rational powers of a positive base gives for rational , and has no inverse. Sequences here are functions on and contains (Series, partial sums, convergence and the sum, divergence, and the tail series), so the object named above is a series from the starting index in the sense of Series, partial sums, convergence and the sum, divergence, and the tail series, not a series of a sequence on .
The exponent is rational, and that is a limitation of this page. Rational powers of a positive base are what Rational powers 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 -series theorem for every exponent this page can name.
Facts & Assumptions
Given: A rational and the family , defined for naturals (Rational powers of a positive base, Series, partial sums, convergence and the sum, divergence, and the tail series).
Rational powers of a positive base are positive, and , , for and rationals (Laws of rational exponents).
Monotonicity of rational powers: for rational and one has ; and for and rationals one has (Monotonicity of and of ).
The integer power and the rational power agree at an integer exponent: for and , read as in Integer powers equals read as in Rational powers of a positive base, since and (Existence and uniqueness of -th roots: a unique with , Rational powers of a positive base). In particular .
Reciprocation reverses the order on the positives: implies (Inverses of positives are positive, and reciprocation reverses order).
Condensation: for a family that is nonnegative and nonincreasing, converges if and only if converges (For a nonincreasing nonnegative sequence, converges iff converges, Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences).
The geometric series: converges if and only if (For , , and for the series diverges, Basic properties of the absolute value).
The canonical naturals are positive and order preserving: for naturals , and (Canonical naturals are positive and strictly increasing).
Proof
For every natural the base is positive, so is defined and positive; in particular the family is nonnegative.
For naturals we have , hence since , hence ; and for the two are equal. So whenever .
For every the base is positive and, reading the exponent as a rational, .
Since , the map is strictly increasing on and ; hence holds exactly when , that is exactly when .
Condensation applies to : converges if and only if converges.
So the condensed series is the geometric series with , and , so .
By the geometric series theorem, converges if and only if .
Chaining the three equivalences: converges the condensed series converges .
Remarks
-
Where the threshold comes from. Condensation turns the -series into a geometric series of ratio , and the geometric threshold pulls back to . Nothing about the number is special to the -series; it is the exponent at which the condensed terms stop shrinking.
-
At the condensed series is . Its terms do not tend to , 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 the expression 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 off this page entirely, the logarithm not being available.
Root test: gives absolute convergence and hence convergence, gives divergence, and decides nothing
Statement
Let be a family of reals from the starting index (Series, partial sums, convergence and the sum, divergence, and the tail series), put
and note that exists for every such family, with no hypothesis whatever (The tail suprema of any real sequence are nonincreasing in , so the limit superior exists for every sequence, Limit superior and limit inferior of a real sequence as and in ). Then:
- if then converges, and hence converges as well;
- if then diverges;
- if neither conclusion follows: diverges, converges, and both have .
The root family is shifted, and that is forced. The classical expression is meaningful only for , since is not a rational number (Rational powers of a positive base), while sequences here are functions on and contains . So the roots are written , which is reindexed by , exactly the convention of For : . Every is defined, including where , by the supplementary clause of Rational powers 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 itself converges is a separate step, and it is supplied by If converges then 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 of reals, the roots for , the tail suprema taken in , and (Limit superior and limit inferior of a real sequence as and in , The extended real line , its order, and the arithmetic that is left undefined).
Every subset of has a least upper bound and a greatest lower bound there, and the extended order is total (Every subset of has a least upper bound and a greatest lower bound in , agreeing with the real supremum and infimum on nonempty sets bounded in , The extended real line , its order, and the arithmetic that is left undefined). In particular for every , and for every ; a real with fails to be a lower bound of , and a real with fails to be an upper bound of .
Both quantities exist for every sequence, bounded or not (The tail suprema of any real sequence are nonincreasing in , so the limit superior exists for every sequence).
Roots and powers: for and natural , and ; on the nonnegatives is strictly increasing for ; and (Existence and uniqueness of -th roots: a unique with , Rational powers of a positive base, Monotonicity of and of ).
Absolute value: for every real (Basic properties of the absolute value).
The geometric series converges when , and a series converges if and only if each of its tail series converges (For , , and for the series diverges, A series converges iff each of its tail series converges, and the sum splits as plus the -th tail).
Direct comparison, in the form for families from a general starting index: if from some index on and converges then converges (If eventually, convergence of gives convergence of , and divergence of gives divergence of , Series, partial sums, convergence and the sum, divergence, and the tail series).
If a series converges then its terms tend to ; contrapositively, terms not tending to force divergence (If a series converges then its terms tend to , Limits and Cauchy sequences of reals).
for every natural , and the sequence converges to (); a sequence converging to a real has (A real sequence converges to iff , and diverges to iff both equal ); products and quotients of convergent sequences converge, the quotient requiring nonzero limit and nonzero denominators (Algebra of limits: sums, scalar multiples, products and quotients).
Laws of rational exponents on a positive base: , and ; and for rational , implies (Laws of rational exponents, Monotonicity of and of ).
For rational , converges if and only if (For rational , converges iff ).
If converges then converges; for a family from the starting index this is the same statement applied to the shifted sequence , whose series is and whose absolute-value series is (If converges then converges, Series, partial sums, convergence and the sum, divergence, and the tail series).
Proof
Assume .
Assume instead .
Assume instead .
Every is a nonnegative real, so each and hence is a lower bound of , giving ; combined with the case hypothesis this puts strictly between the reals and , so is a real number.
In the case , the value is a lower bound of , so for every .
In the case , take first for . Its root family is , and since with every term at least , the quotient rule gives convergence to , so the limit superior of the root family is ; and diverges, being the case .
In the case , take next for . Its root family is , which converges to by the product and quotient rules, so again the limit superior of the root family is ; and converges, being the case .
In the case put , a real number with ; since is not a lower bound of there is with .
In the case , for each the real is not an upper bound of , so there is with .
So at one family gives a divergent series and another a convergent one, and neither of the two conclusions can be drawn, which is claim 3.
In the case , for every we have , and raising both nonnegative sides to the power gives .
In the case , whenever we get ; so by step 3.2 there are indices with for every .
In the case : since the geometric series converges, hence so does its first tail series .
In the case : putting and for , step 4.1 gives for all , and is the convergent series of step 4.3; so converges.
In the case : the sequence does not converge to , because with the rational tolerance no index satisfies for all ; hence diverges, which is claim 2.
In the case : the series having been shown to converge, the sequence has a convergent absolute-value series, so converges as well; together with the convergence of that is claim 1.
The three cases , and exhaust , the extended order being total, so the three claims together cover every family.
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 beyond which all roots sit below a fixed ; claim 2 uses only that roots above occur arbitrarily late. Neither argument asks whether has a limit, which is exactly the advantage of over 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 , which already forbids the terms from tending to . 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 . The companion page carries the same phenomenon with the exponents and , where the divergent witness is not the harmonic series.
Ratio test: gives absolute convergence and hence convergence, and gives divergence
Statement
Let be a sequence of reals with for every and put
a genuine sequence on , whose limit superior and limit inferior exist in for every such (The tail suprema of any real sequence are nonincreasing in , so the limit superior exists for every sequence). Then:
- if then converges, and hence converges as well (If converges then converges);
- if then diverges.
The hypothesis is what makes exist and is not a convenience: a single vanishing term leaves the ratio at that index undefined. For a family from a starting index the statement is the one above applied to the shifted sequence (Series, partial sums, convergence and the sum, divergence, and the tail series), whose ratios are .
Nothing is claimed when . In that regime the test is silent, and it has to be: the companion page carries a convergent series whose ratios have limit superior , and both a convergent and a divergent series with ratio limit exactly .
Facts & Assumptions
Given: A sequence of reals with for every ; the ratios ; the tail bounds and taken in , so that and (Limit superior and limit inferior of a real sequence as and in , The extended real line , its order, and the arithmetic that is left undefined); and the assumption that one of the two hypotheses of the Statement holds.
Every subset of has a least upper bound and a greatest lower bound there, and the extended order is total (Every subset of has a least upper bound and a greatest lower bound in , agreeing with the real supremum and infimum on nonempty sets bounded in ). In particular and for every ; and for every ; a real exceeding is not a lower bound of ; and a real below is not an upper bound of .
Both quantities exist for every sequence (The tail suprema of any real sequence are nonincreasing in , so the limit superior exists for every sequence, Limit superior and limit inferior of a real sequence as and in ).
Absolute value: ; exactly when ; , so (Basic properties of the absolute value).
The principle of induction (The principle of mathematical induction).
The geometric series converges when ; a series converges if and only if each of its tail series converges; and converges when does (For , , and for the series diverges, A series converges iff each of its tail series converges, and the sum splits as plus the -th tail, Convergent series add and scale termwise).
Direct comparison: if from some index on and converges then converges (If eventually, convergence of gives convergence of , and divergence of gives divergence of ).
If a series converges then its terms tend to (If a series converges then its terms tend to , Limits and Cauchy sequences of reals); and for every real there is a natural with the rational (For every in a complete ordered field there is a natural with ).
Powers: , , and for (Integer powers , Monotonicity of and of ).
If converges then converges (If converges then converges).
Proof
Assume .
Assume instead .
Each is a nonnegative real, being a quotient of a nonnegative real by a positive one, so every and hence .
In the case the value therefore lies strictly between the reals and inclusive of , so it is a real number; put , a real with .
In the case , the real is not an upper bound of , so there is with .
In the case : since , the real is not a lower bound of , so there is with , and then for every .
In the case : for every , since is a lower bound of .
In the case : the series converges since , hence so does .
In the case : for , with , hence .
In the case : for , , again multiplying by .
In the case : an induction on gives for every . At this is an equality, since ; and if it holds at then , using .
In the case : an induction on gives for every . At it is an equality, and if it holds at then .
In the case : with and we have for every , so converges; that is the -th tail series of , so converges.
In the case : does not converge to . Choose a natural with ; if there would be with for all , contradicting at any index that is at least both and .
In the case : by the term test diverges, which is claim 2.
In the case : the series having been shown to converge, converges as well; together with the convergence of that is claim 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.
Remarks
-
The two halves are not dual, and the asymmetry is real. Convergence needs the ratios to be eventually below a fixed , which supplies; divergence needs them eventually above , which is what supplies. A hypothesis on 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: implies the series diverges records.
-
The geometric series is the only convergent series the proof knows. Claim 1 is a comparison against , and every later refinement on this page, Kummer's test included, exists because that comparison is too coarse when the ratios approach .
Whenever the ratio test decides, the root test decides the same way, and the converse fails
Statement
Let be a sequence of reals with for every , and put
the ratio and root families of Ratio test: gives absolute convergence and hence convergence, and gives divergence and Root test: gives absolute convergence and hence convergence, gives divergence, and decides nothing. Then, in ,
and consequently:
- if , so that the ratio test gives convergence of and hence of , then and the root test gives the same;
- if , so that the ratio test gives divergence of , then and the root test gives it too.
The converse fails. Let be the alternating sequence of The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and , let when and when , and put , the sequence usually written . For it, while and (FALSE: for every positive sequence), so the root test gives convergence of 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 of reals with for every , the ratios and the roots (Limit superior and limit inferior of a real sequence as and in , The extended real line , its order, and the arithmetic that is left undefined).
For a sequence of reals with for every , writing and , one has in (For : ).
for every real sequence ( for every real sequence).
Absolute value: , and exactly when (Basic properties of the absolute value).
The root test: for a family from , gives convergence of and hence of , and gives divergence of (Root test: gives absolute convergence and hence convergence, gives divergence, and decides nothing).
The ratio test: gives convergence of and hence of , and gives divergence of (Ratio test: gives absolute convergence and hence convergence, and gives divergence).
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 plus the -th tail, Series, partial sums, convergence and the sum, divergence, and the tail series).
For the sequence built from the alternating sequence as in the Statement: , and ; and , , so every term is positive and in particular nonzero (FALSE: for every positive sequence, The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and , Integer powers , Monotonicity of and of ).
Proof
Put . Since we have for every , so [L1] applies to .
For the sequence of the Statement every term is nonzero, , and neither nor holds.
For this the ratio family is and the root family is .
Therefore , which is the displayed chain.
Suppose . By the chain, , so the root test applies to the family and gives convergence of and of , hence of and of ; the ratio test gives the same conclusions. That is claim 1.
Suppose . By the chain and [L2], , so the root test gives divergence of , hence of ; the ratio test gives the same conclusion. That is claim 2.
So for that sequence the root test gives convergence of while neither half of the ratio test applies, and the converse of claims 1 and 2 fails.
Remarks
-
The dominance is a statement about , not about series. The whole content is the chain of For : , proved on the previous page precisely because it is about limits superior and nothing else. Claims 1 and 2 are the translation of that chain through the two tests, and they carry no further mathematics.
-
Strictly more, not merely at least as much. The witness in the Statement settles that: its roots converge to while its ratios oscillate between and , so the ratio test is silent about a series the root test decides. The reason is structural rather than accidental. Taking an -th root divides the exponent by and so damps a bounded oscillation, while forming a ratio differences the exponent and preserves it.
-
The ratio test survives because it is easier to compute. Nothing here says the ratio test should be abandoned; the ratios of a series given by an explicit formula are usually elementary, and the roots usually are not.
Kummer: for positive terms and weights , gives convergence, and if diverges while that expression is eventually the series diverges
Statement
Let and be sequences of reals with
and define Kummer's expression
a sequence of reals whose limit inferior exists in (The tail suprema of any real sequence are nonincreasing in , so the limit superior exists for every sequence). Then:
- if then converges;
- if diverges and for all from some index on, then diverges.
Positivity of 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 .
The two claims specialise to the ratio test at and to Raabe's test at ; those two corollaries follow immediately below, and they are the only ways this theorem is used on this page.
Facts & Assumptions
Given: Sequences , of reals with and for every ; Kummer's expression ; the auxiliary sequence , which is positive; and the tail infima taken in , so that (Limit superior and limit inferior of a real sequence as and in , The extended real line , its order, and the arithmetic that is left undefined).
Every subset of has a least upper bound and a greatest lower bound there (Every subset of has a least upper bound and a greatest lower bound in , agreeing with the real supremum and infimum on nonempty sets bounded in ). In particular a real below is not an upper bound of ; is a lower bound of ; and , so is not .
Both limit quantities exist for every sequence (The tail suprema of any real sequence are nonincreasing in , so the limit superior exists for every sequence, Limit superior and limit inferior of a real sequence as and in ).
A nonincreasing sequence bounded below converges (A nondecreasing sequence bounded above converges to the supremum of its range, and a nonincreasing sequence bounded below to the infimum, Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences, Lower bound, bounded below, bounded set); consecutive comparisons suffice to establish monotonicity (Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences).
converges whenever converges ( converges iff converges, with sum ).
Direct comparison: if from some index on and converges then converges (If eventually, convergence of gives convergence of , and divergence of gives divergence of ).
For , converges if and only if 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 plus the -th tail, Series, partial sums, convergence and the sum, divergence, and the tail series).
The principle of induction (The principle of mathematical induction); and for , with implying for positive (Inverses of positives are positive, and reciprocation reverses order).
Proof
Suppose . The real is then not an upper bound of , so there is with .
Suppose now that diverges and that there is with for every .
Since and , the value is a real number; put , so that for every .
Multiplying by gives , that is , for every .
Multiplying by gives , that is , for every .
An induction on gives for every : at it is an equality, and if it holds at then .
Hence for every , so the tail sequence is nonincreasing; and it is bounded below by , every being positive.
So for every , and dividing by gives .
Therefore converges, and by the telescoping lemma converges.
Since diverges and , the series diverges.
By step 3.1 we have for every , so converges by comparison, and since so does .
That last series is the -th tail series of , so converges, which is claim 1.
If converged then, since for , comparison would make converge, contradicting step 5.2; so diverges, which is claim 2.
Remarks
-
Claim 2 fails for terms of mixed sign, and here is the witness. Take for every and . Then (Laws of integer exponents, Integer powers ), so at every index; and diverges, its terms not tending to (If a series converges then its terms tend to ). Both hypotheses of claim 2 hold. Yet converges, with sum , since (For , , and for the series diverges). The conclusion therefore fails, and what fails with it is exactly step 2.2, which multiplied an inequality by and needed that factor to be positive. The classical signed witness at is , 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 , and the strength of the resulting test is exactly the strength of the divergent comparison series it carries. Constant weights give the ratio test, weights 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 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.
Kummer with recovers the ratio test
Statement
Let be a sequence of reals with for every , and put , which is the ratio family of Ratio test: gives absolute convergence and hence convergence, and gives divergence since here. Take the constant weights , so that Kummer's expression (Kummer: for positive terms and weights , gives convergence, and if diverges while that expression is eventually the series diverges) is
Then:
- if then , so Kummer's convergence criterion applies and yields convergence of ;
- if then diverges and from some index on, so Kummer's divergence criterion applies and yields divergence of .
Both conclusions are exactly those of Ratio test: gives absolute convergence and hence convergence, and 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
Given: A sequence of reals with for every ; the ratios , which are positive; the constant weights ; and Kummer's expression (Kummer: for positive terms and weights , gives convergence, and if diverges while that expression is eventually the series diverges, Limit superior and limit inferior of a real sequence as and in ).
Every subset of has a least upper bound and a greatest lower bound there (Every subset of has a least upper bound and a greatest lower bound in , agreeing with the real supremum and infimum on nonempty sets bounded in , The extended real line , its order, and the arithmetic that is left undefined); and with the tail bounds, and both exist for every sequence (Limit superior and limit inferior of a real sequence as and in , The tail suprema of any real sequence are nonincreasing in , so the limit superior exists for every sequence).
Kummer's test, in both halves, for positive terms and positive weights (Kummer: for positive terms and weights , gives convergence, and if diverges while that expression is eventually the series diverges).
Reciprocation on the positives: implies (Inverses of positives are positive, and reciprocation reverses order).
A series whose terms do not tend to diverges (If a series converges then its terms tend to ).
For positive terms , so the ratio family of Ratio test: gives absolute convergence and hence convergence, and gives divergence is the family above (Basic properties of the absolute value).
Proof
The constant weights are positive, and the terms are positive, so Kummer's test applies with these data and its expression is .
Each is positive, so , every tail supremum being at least .
Suppose instead . The real is not an upper bound of , the tail infima of , so there is with , and then for every .
The weight series is , whose terms are constantly and so do not tend to ; it diverges.
Suppose . Then lies between the reals and and is therefore real; put , so that and .
For : gives , hence , hence and in particular .
Since , the real is not a lower bound of , so there is with , and then for every .
Kummer's divergence criterion therefore applies and diverges, which is claim 2.
For : , so , and hence , where because gives .
So is a lower bound of , whence and .
Kummer's convergence criterion therefore applies and converges, which is claim 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 of Kummer's test.
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 . 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.
Raabe is Kummer with : for positive terms, gives convergence and gives divergence
Statement
Let be a sequence of reals with for every . Write for the canonical natural , which is positive (Canonical naturals are positive and strictly increasing), take the weights in Kummer: for positive terms and weights , gives convergence, and if diverges while that expression is eventually the series diverges, and put
so that Kummer's expression for these weights is . Then:
- if then converges;
- if then diverges.
The weights are rather than because has to be positive and contains ; the classical statement, indexed from , is the same criterion read along the shift .
Nothing is claimed when . The Gauss test proved next is exactly the tool for the borderline case , where Raabe's test is silent.
Facts & Assumptions
Given: A sequence of reals with for every ; the weights ; and (Limit superior and limit inferior of a real sequence as and in , Canonical naturals are positive and strictly increasing).
Every subset of has a least upper bound and a greatest lower bound there, and , for the tail bounds , both existing for every sequence (Every subset of has a least upper bound and a greatest lower bound in , agreeing with the real supremum and infimum on nonempty sets bounded in , The extended real line , its order, and the arithmetic that is left undefined, Limit superior and limit inferior of a real sequence as and in , The tail suprema of any real sequence are nonincreasing in , so the limit superior exists for every sequence).
Kummer's test in both halves, for positive terms and positive weights (Kummer: for positive terms and weights , gives convergence, and if diverges while that expression is eventually the series diverges).
converges if and only if ; at it therefore diverges (For rational , converges iff ). Moreover , the rational power at exponent being the element itself (Rational powers of a positive base, Existence and uniqueness of -th roots: a unique with , Integer powers ).
The canonical naturals are positive, and (Canonical naturals are positive and strictly increasing).
The series from the starting index is by definition the series of the sequence (Series, partial sums, convergence and the sum, divergence, and the tail series).
Proof
The weights are positive for every , and the terms are positive, so Kummer's test applies with these data.
Suppose . The real is not an upper bound of the set of tail infima of , so there is with , and is real because .
Suppose instead . The real is not a lower bound of the set of tail suprema of , so there is with , and then for every .
Kummer's expression for these weights is .
The weight series is , which is precisely the series from the starting index , and that is the case of the -series, hence divergent.
Put . For every we have , hence .
Hence , in particular , for every .
So is a lower bound of , whence , and Kummer's convergence criterion gives convergence of , which is claim 1.
Together with the divergence of the weight series, Kummer's divergence criterion gives divergence of , which is claim 2.
Remarks
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Raabe's test is a genuine strengthening of the ratio test. Whenever the ratios converge to the ratio test is silent, while may still be bounded away from on either side; the companion page carries a series with ratio limit exactly that Raabe decides. The reason is visible in the weights: the divergent comparison series behind the test has moved from to the harmonic series, which diverges far more slowly.
-
The threshold is and not , and step 2.1 says why. Kummer's criterion is a statement about ; the shift by between the two expressions is the whole difference between the two thresholds, and it comes from for these weights.
Gauss: for positive terms, if with for , some constant and some rational , the series converges iff
Statement
Let be a sequence of reals with for every . Suppose there are a real , a real , a rational and reals for such that
where denotes the canonical natural and is the rational power (Rational powers of a positive base, Canonical naturals are positive and strictly increasing). Then
The hypotheses are imposed from on, since has no value at ; 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 plus the -th tail).
The exponent is rational because that is what Rational powers of a positive base supplies, and the error bound is a -series bound with , which is exactly the summability the proof consumes.
The borderline case is the whole point of the theorem. There tends to , so both halves of Raabe's test (Raabe is Kummer with : for positive terms, gives convergence and 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 of reals with for every ; reals , , a rational and reals () with and for ; and for (Raabe is Kummer with : for positive terms, gives convergence and gives divergence).
Raabe's test: for positive terms, gives convergence of and gives divergence (Raabe is Kummer with : for positive terms, gives convergence and gives divergence).
Every subset of has least upper and greatest lower bounds there; and for the tail bounds, both existing for every sequence (Every subset of has a least upper bound and a greatest lower bound in , agreeing with the real supremum and infimum on nonempty sets bounded in , The extended real line , its order, and the arithmetic that is left undefined, Limit superior and limit inferior of a real sequence as and in , The tail suprema of any real sequence are nonincreasing in , so the limit superior exists for every sequence).
For every real there is a natural with , and for every real there is a natural with (For every in a complete ordered field there is a natural with , Every complete ordered field is Archimedean).
Rational powers on a positive base: , , , ; and for rational , implies (Laws of rational exponents, Monotonicity of and of , Rational powers of a positive base).
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 in a complete ordered field there is a natural with ).
converges if and only if (For rational , converges iff ).
Direct comparison, and the fact that scaling by a nonzero constant preserves convergence and divergence (If eventually, convergence of gives convergence of , and divergence of gives divergence of , Convergent series add and scale termwise); a series converges if and only if each of its tail series converges, and for nonnegative terms every partial sum is at most the sum (A series converges iff each of its tail series converges, and the sum splits as plus the -th tail, A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum, Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion, Laws of finite sums and finite products).
The principle of induction (The principle of mathematical induction); reciprocation reverses order on the positives (Inverses of positives are positive, and reciprocation reverses order); and (Basic properties of the absolute value).
Proof
Assume .
Assume instead .
Assume instead .
For every , .
The sequence converges to : given a rational , choose a natural with ; then for every with .
The sequence converges to : given a real , put and choose a natural with ; then for we get , hence .
For every , , using .
Hence with both bounds converging to , so by the squeeze theorem.
In the case , put and for ; then , since , and .
Therefore , and since convergence depends only on the tail, the sequence converges to .
Consequently for , so and .
In the case : converges, since is a rational exceeding ; hence so does , and by comparison with it so does , whose terms are nonnegative.
In the case : applying the limit estimate with the real tolerance gives an with for all ; so is a lower bound of , whence and converges.
In the case : the tolerance gives an with for all ; so is an upper bound of , whence and diverges.
For : and , so .
Writing for the sum of and for its partial sums, , so there is a natural with ; put .
For every the block is a partial sum of the -th tail series of , whose terms are nonnegative and whose sum is ; hence , and in particular for every .
In the case : for every , , by induction on . At both sides equal , the sum being empty. Assume it at ; then, since and , and since the induction hypothesis gives , we get , the last step expanding the product and discarding a nonnegative term.
Hence for every , that is for every , and so for every .
The series diverges, so diverges, the factor being nonzero.
If converged, then so would , and comparison with the estimate of step 7.1 would make converge, contradicting step 8.1; so in the case the series diverges.
The three cases , and exhaust the reals, and they give convergence, divergence and divergence respectively; so converges exactly when .
Remarks
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No logarithm anywhere, and that is deliberate. The classical treatment of compares with or invokes Bertrand's test. Neither is available in this library at this point, and neither is needed: the hypothesis makes 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 of decay to spare, rather than for an arbitrary summable error.
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Step 7.1 is the Weierstrass product inequality in disguise. In the form for , it is the standard statement; here the product is , telescoped in advance, so that one induction does the work of two and no separate lemma about products of inequalities is needed.
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What the conclusion at says about the terms. The estimate is a genuine lower bound of harmonic type: at the borderline the terms cannot decay faster than a constant multiple of , and divergence follows from the divergence of the harmonic series alone.
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The three cases are decided by and by nothing else. The constants and never appear in the conclusion; they enter only through the requirement that the error be summable, which is what keeps the case from being genuinely borderline in this argument.
For a divergent series of positive terms with partial sums , the series diverges and converges
Statement
Let be a sequence of reals with for every and suppose diverges (Series, partial sums, convergence and the sum, divergence, and the tail series). Write
for the inclusive partial sums, so that in the notation of Series, partial sums, convergence and the sum, divergence, and the tail series. Then for every , and:
- diverges;
- 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 , the empty sum, so has no value and a series divided by would have to begin at . The inclusive sum has , so both series above are series of sequences on with no shift and no excluded index. The classical statement, which writes and starts at , 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 of reals with for every , with divergent; the exclusive partial sums and the inclusive partial sums (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).
For a series of nonnegative terms: the partial sums are nondecreasing, the series converges if and only if their range is bounded above, and otherwise they diverge to (A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum, A nondecreasing sequence that is not bounded above diverges to , Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences, Divergence to and to ).
Splitting of finite sums: for , , so ; and monotonicity of finite sums (Laws of finite sums and finite products, Finite sums and finite products, by recursion).
The Cauchy criterion: converges if and only if for every real there is with for all (A series converges iff for every there is with for all ).
For positive terms, if and only if (For positive terms, null and divergence to are reciprocal, Limits and Cauchy sequences of reals).
converges whenever converges ( converges iff converges, with sum ).
Direct comparison (If eventually, convergence of gives convergence of , and divergence of gives divergence of ), 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 plus the -th tail).
Reciprocation on the positives: implies (Inverses of positives are positive, and reciprocation reverses order); and (Integer powers ).
Proof
Every is a sum of positive terms, so ; and since , so is nondecreasing and whenever .
Since diverges and its terms are nonnegative, the exclusive partial sums are unbounded above and ; hence , because for a given real any index bound working for also works for .
For all naturals , using for and : .
Put , which is positive; since , the sequence converges to .
For every : , the inequality because .
Let be arbitrary and put . Since there is with , and then , so the block of step 2.1 satisfies .
Therefore converges.
So no witnesses the Cauchy condition for the tolerance , and diverges, which is claim 1.
By comparison, converges; that series is the -st tail series of , so the latter converges, which is claim 2.
Remarks
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The two claims are not two theorems but one pair of estimates. Divergence comes from bounding a block below by , 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 to grow without bound and the second needs it to be nondecreasing, and both facts come from divergence of together with positivity of its terms.
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The exponent is not optimal, and this page does not pursue that. The classical refinement replaces by for a rational ; the argument is the same in outline but needs an estimate for 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.
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Positivity is used at every step. It gives , so the quotients exist; it makes 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.
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 eventually, convergence of gives convergence of , and divergence of gives divergence of 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 , , and for the series diverges); Raabe's test compares against the harmonic series, through the weights in Kummer: for positive terms and weights , gives convergence, and if diverges while that expression is eventually the series diverges; and the borderline branch of Gauss: for positive terms, if with for , some constant and some rational , the series converges iff compares against the harmonic series again. For a nonincreasing nonnegative sequence, converges iff converges is of a different kind: it does not compare, it reindexes, and that is why it settles the whole -series family (For rational , converges iff ) in one step.
The comparisons proved on this page.
- Root over ratio. Whenever the ratio test decides, the root test decides the same way, and the converse fails: whenever the ratio test (Ratio test: gives absolute convergence and hence convergence, and gives divergence) decides, the root test (Root test: gives absolute convergence and hence convergence, gives divergence, and decides nothing) decides the same way, and there is a series the root test decides and the ratio test does not. This is a consequence of the inequality chain , proved on the previous page, and of nothing else.
- Ratio as a case of Kummer. Kummer with recovers the ratio test: for positive terms, the ratio test is Kummer's test with the constant weights .
- Raabe as a case of Kummer. Raabe is Kummer with : for positive terms, gives convergence and gives divergence: Raabe's test is Kummer's test with the weights .
- Gauss over Raabe, inside Gauss's hypothesis. Gauss: for positive terms, if with for , some constant and some rational , the series converges iff assumes an expansion with a summable error. Under that hypothesis converges to . When , Raabe's test already decides, and Gauss's proof says so by invoking it. When Raabe's test cannot decide: would force to stay above a fixed number greater than from some index on, and would force it to stay below a fixed number less than , and rules out both. Gauss decides that case, and it is the reason the theorem exists.
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 , the series diverges and 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 -series at irrational exponents. Rational powers of a positive base defines for rational and positive . So is a well-formed expression here only for rational , and For rational , converges iff 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 , and it is the natural next member of the Kummer family, with weights . Both the weights and the criterion mention the logarithm, so neither can be written down here.
- The integral test. It compares with , and the Riemann integral is developed much later in this library. Condensation is the substitute used on this page, and for the -series it does the same work.
- The general form of Gauss's test. The classical statement assumes for some real . The version proved here writes with a positive rational. This loses no case covered by the classical hypothesis: given , choose a rational and weaken the eventual bound. An error of order is not a Gauss remainder at ; 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: gives absolute convergence and hence convergence, gives divergence, and decides nothing and Ratio test: gives absolute convergence and hence convergence, and gives divergence delivers convergence of and not, on its own, of . That the second follows from the first is If converges then converges, proved on this page from A series converges iff for every there is with for all 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: if then converges
Statement
False claim: for every sequence of reals, if converges to (Limits and Cauchy sequences of reals) then 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 : a convergent series has terms tending to . The claim above reverses it, and the reversal fails at the very first place one looks, the harmonic series.
The witness is for , which is the family , , written as a sequence on ; by Series, partial sums, convergence and the sum, divergence, and the tail series the series of this sequence is exactly .
Facts & Assumptions
Given: The sequence , , where is the canonical natural, positive for every (Canonical naturals are positive and strictly increasing).
For every real there is a natural with (For every in a complete ordered field there is a natural with ); and implies (Inverses of positives are positive, and reciprocation reverses order).
Convergence to means: for every rational there is with for all (Limits and Cauchy sequences of reals).
converges if and only if ; and , the rational power at exponent being the element itself (For rational , converges iff , Rational powers of a positive base, Existence and uniqueness of -th roots: a unique with , Integer powers ).
The series from the starting index is by definition the series of the sequence (Series, partial sums, convergence and the sum, divergence, and the tail series).
The refuted claim: for every sequence of reals converging to , the associated series converges.
Refutation
Every term is a positive real, the canonical naturals being positive.
The series of is , the series from starting index of the family , since that series is by definition the series of .
The sequence converges to : given a rational , choose a natural with ; then for every we have , hence .
That series is the case of the -series, and does not exceed , so it diverges.
So converges to while diverges, and the claim fails for this sequence.
The claim is therefore false, and what survives of it is only the converse implication, that a convergent series has null terms.
Remarks
-
The failure is not marginal. The harmonic series has terms tending to and partial sums diverging to , 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 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 -series theorem distinguishes from . The basic root and ratio tests do not: for both sequences their relevant limit is the boundary value , so those two tests are inconclusive.
FALSE: implies the series diverges
Statement
False claim: for every sequence of reals with for every , if
then diverges (Series, partial sums, convergence and the sum, divergence, and the tail series, Limit superior and limit inferior of a real sequence as and in ).
The true divergence half of the ratio test (Ratio test: gives absolute convergence and hence convergence, and gives divergence) has the hypothesis , 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 as in The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and , put , so is at the even indices and at the odd ones, and let
Its ratios take only the two values and , so their limit superior is at least , while the series converges by comparison with a geometric series.
Facts & Assumptions
Given: The alternating sequence and the index maps of The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and ; ; and for .
The alternating sequence: , , for every , and , with and strictly increasing (The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and ); a strictly increasing index map satisfies (A strictly increasing index map satisfies ).
Powers of : , , and (Integer powers , Laws of integer exponents, Monotonicity of and of ).
Limit superior in : with ; every subset of has a least upper bound and a greatest lower bound there; and both quantities exist for every sequence (Limit superior and limit inferior of a real sequence as and in , Every subset of has a least upper bound and a greatest lower bound in , agreeing with the real supremum and infimum on nonempty sets bounded in , The extended real line , its order, and the arithmetic that is left undefined, The tail suprema of any real sequence are nonincreasing in , so the limit superior exists for every sequence).
The geometric series converges for ; scaling by a nonzero constant preserves convergence; and direct comparison applies to nonnegative terms (For , , and for the series diverges, Convergent series add and scale termwise, If eventually, convergence of gives convergence of , and divergence of gives divergence of , Basic properties of the absolute value).
The ratio test: gives divergence, and that is the only divergence criterion it supplies (Ratio test: gives absolute convergence and hence convergence, and gives divergence).
The refuted claim: for every sequence of nonzero reals with , the series diverges.
Refutation
Each is or , since ; so is or , in either case and .
Hence for every , so in particular and the claim applies to .
For every , .
The ratios are , so when and when , using .
The geometric series converges, since ; hence so does , and by comparison so does .
For every there is an index with , namely , since ; so at some index , for every .
Therefore every tail supremum satisfies , so is a lower bound of the set of tail suprema and .
So has nonzero terms and , yet converges; the claim fails for it and is therefore false.
Nothing in the ratio test is contradicted: its divergence half requires , and here , since at indices for every .
Remarks
-
Replacing by is already fatal, even with the inequality kept strict. The witness above has , which is strictly greater than , and its series converges. So the false claim is not rescued by demanding : the two quantities and 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 , and that is precisely a hypothesis on .
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 of reals with for every such that diverges (Series, partial sums, convergence and the sum, divergence, and the tail series) and such that every sequence of reals with for every and divergent satisfies
Such a 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 .
No such sequence exists. The refutation is direct and uses no choice: given any divergent with positive terms, the Abel-Dini theorem (For a divergent series of positive terms with partial sums , the series diverges and converges) manufactures a divergent series of positive terms whose terms are eventually strictly smaller than the , so fails its own defining property.
Facts & Assumptions
Given: An arbitrary sequence of reals with for every and divergent; its inclusive partial sums (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).
For a series of nonnegative terms: the partial sums are nondecreasing, and if the series diverges their range is not bounded above and they diverge to (A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum, A nondecreasing sequence that is not bounded above diverges to , Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences, Divergence to and to ).
Abel-Dini: if has positive terms and diverges, then with the series diverges (For a divergent series of positive terms with partial sums , the series diverges and converges).
Order and reciprocals: for and one has (Inverses of positives are positive, and reciprocation reverses order); and a sum of positive terms is positive (Laws of finite sums and finite products).
The refuted claim: some divergent series of positive terms is eventually dominated by every divergent series of positive terms.
Refutation
Let be any sequence of positive reals with divergent, and put ; every is positive, being a sum of positive terms.
Since diverges and its terms are nonnegative, its exclusive partial sums diverge to ; and , so as well, any index bound for serving for .
Define for . Each is positive, and by Abel-Dini applied to the series diverges.
Since there is with for every ; for such , .
So is a sequence of positive reals with divergent, and there is no index from which holds onwards: given any , at every index that is at least both and one has .
Therefore the sequence does not have the property demanded of it, and since was an arbitrary divergent series of positive terms, no such sequence exists and the claim is false.
Remarks
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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 .
Sources
Standard references
Recommended treatments; not extraction sources.
- Series (mathematics) (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 3
- T. Tao, Analysis I, 3rd ed., §7.2
- John K. Hunter, An Introduction to Real Analysis
- Term test (Wikipedia)
- Cauchy's convergence test (Wikipedia)
- Absolute convergence (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 3 (3.45)
- Stephen Semmes, Elements of Analysis
- Geometric series (Wikipedia)
- Telescoping series (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 3 (3.24)
- Direct comparison test (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 3 (3.25)
- Limit comparison test (Wikipedia)
- T. Tao, Analysis I, 3rd ed., §7.3
- APEX Calculus, Section 9.4: Comparison Tests
- MIT 18.100B Real Analysis lecture notes
- Cauchy condensation test (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 3 (3.27)
- Harmonic series (mathematics) (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 3 (3.28)
- Root test (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 3 (3.33)
- Ratio test (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 3 (3.34)
- Convergence tests (Wikipedia)
- CSUDH notes on the ratio and root tests
- K. Knopp, Theory and Application of Infinite Series, Ch. IX
- Thomson, Bruckner, and Bruckner, Elementary Real Analysis
- Binghamton University notes on Kummer, Raabe, and Gauss tests
- Raabe's test (Wikipedia)
- Divergent series (Wikipedia)
- Abel-Dini-Pringsheim theorem (Wikipedia)