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.
The Riemann series theorem: a conditionally convergent real series has, for every , a rearrangement with sum , and rearrangements diverging to , to , and oscillating with any prescribed in
Statement
Let be a sequence of reals whose series converges conditionally (Absolutely convergent and conditionally convergent series, and the general starting index). Let (The extended real line , its order, and the arithmetic that is left undefined) with . Then there is a bijection (Injection, surjection, bijection) such that the partial sums of the rearranged series (Rearrangement of a series along a bijection of , and unconditional convergence) satisfy
(Limit superior and limit inferior of a real sequence as and in ). In particular:
- for every , taking , there is a rearrangement of that converges with sum ;
- taking , there is a rearrangement whose partial sums diverge to (Divergence to and to ), and taking , one whose partial sums diverge to ;
- taking , there is a rearrangement whose partial sums oscillate, with limit inferior exactly and limit superior exactly .
So the sum of a conditionally convergent series is an artefact of the order in which its terms are written, and every prescribed asymptotic behaviour is attainable. Contrast Dirichlet's rearrangement theorem: an absolutely convergent series converges unconditionally, and every rearrangement of it has the same sum, where absolute convergence makes the sum independent of the order.
The construction. Write and , which partition , and enumerate each increasingly as and . Fix real sequences and with and for every ; these are the targets. The rearrangement is produced one index at a time by a greedy rule: while the running sum is at most the current upper target, take the next unused nonnegative term; once it exceeds that target, take negative terms until the running sum falls below the current lower target; then move to the next pair of targets and repeat. Both supplies are inexhaustible, because for a conditionally convergent series both and diverge to (Positive and negative parts: and ; a series converges absolutely iff both and converge, and for a conditionally convergent series both diverge to ); and the overshoot at each turning point is at most the term just used, which tends to because (If a series converges then its terms tend to ). Those two facts are the whole theorem.
Facts & Assumptions
Given: A sequence of reals with convergent and divergent; the positive and negative parts , ; the sets and ; and extended reals .
and are disjoint with union , since the order on is total; and for , while and for (Positive and negative parts: and ; a series converges absolutely iff both and converge, and for a conditionally convergent series both diverge to ).
For a conditionally convergent series, the partial sums of and of both diverge to (Positive and negative parts: and ; a series converges absolutely iff both and converge, and for a conditionally convergent series both diverge to , Divergence to and to ).
The terms of a convergent series tend to (If a series converges then its terms tend to ).
Every nonempty subset of has a least element (The well-ordering principle).
The recursion theorem: for a set , an element and a function there is a unique with and (The recursion theorem).
The principle of induction on (The principle of mathematical induction).
Finite sums: , , splitting at an intermediate index, and (Finite sums and finite products, by recursion, Laws of finite sums and finite products).
Partial sums of a series and their recursion (Series, partial sums, convergence and the sum, divergence, and the tail series).
Limits preserve non-strict inequalities holding eventually (Limits preserve non-strict inequalities, Limits and Cauchy sequences of reals).
A bijection is an injective surjection (Injection, surjection, bijection).
A sequence converges to a real exactly when its limit inferior and limit superior both equal , and diverges to exactly when both equal (A real sequence converges to iff , and diverges to iff both equal , Convergence in and the extended subsequential limit set: is an extended subsequential limit when some subsequence converges to , or diverges to ).
For nonnegative terms, a series diverges exactly when the range of its partial sums is unbounded above, and then those partial sums diverge to (A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum).
Proof
Since converges, .
For every there is with : otherwise for every , so for every , so the partial sums of are constant from on and hence bounded, contradicting [L1]. The same argument with shows that for every there is with .
In particular and are nonempty, and for every the sets and are nonempty; so by [L3] each has a least element.
Define by and , and by and ; both are legitimate applications of the recursion theorem, the "next element" operations being total functions by step 2.1. Both and take values in , respectively , and are strictly increasing.
An induction gives and for every index, since and forces .
An induction on gives : at both sides are empty because is the least element of ; and passing from to adds exactly , since is the least element of strictly greater than , so no element of lies strictly between them. The same holds for and .
Fix real sequences and with and for every . Put , whose elements are written , and define and by: if and , then and ; if and , then and ; if and , then and ; if and , then and . The four cases are exhaustive and mutually exclusive, the order on being total, so and are functions.
Every element of is some , and every element of is some : given , the set is nonempty by step 4.1, so it has a least element ; since , and , so by step 4.2. Together with step 3.1 this says that is a bijection onto and a bijection onto ; both are injective because they are strictly increasing.
An induction on gives : at every lies in , so and both sides are ; and splitting at and at isolates the single term , all remaining indices with lying in by step 4.2 and contributing . The same argument gives .
By the recursion theorem let satisfy and , write , and define .
For general choose real sequences with and as follows: if are real, and ; if and is real, and ; if is real and , and ; if , and ; if , and ; and if , , and . In every case tends to and to in , and both conditions of step 4.3 hold.
Hence as and as : the left-hand sides are the values of the partial sums of , respectively of , at the strictly increasing indices , respectively , and by step 4.1 those indices are at least , respectively .
An induction on gives and : both hold at , and each transition increases exactly one of by one and adds to exactly the term indexed by the emitted natural. So , the -th partial sum of the rearranged series.
Consequently, for every and every real there is with , and for every and every real there is with ; this is step 6.1 together with splitting of finite sums, the omitted initial block being a fixed real.
An induction on gives that at every step that increments , and at every step that increments ; since and are nondecreasing and increase by one exactly at those steps, distinct steps of the first kind carry distinct values of and distinct steps of the second kind distinct values of . As and are injective with disjoint ranges and , the map is injective.
There are infinitely many steps of each kind: if from some step on no step increments , then is eventually constantly , because a step with that does not increment sets to and a step with that does not increment leaves at ; then is eventually constant, say , and every subsequent step satisfies , while by step 7.1 the values , which from on increase by the successive terms , exceed for some . Symmetrically, if from some step on no step increments , then is eventually constantly , is eventually constant , every subsequent step satisfies , and step 7.1 makes fall below .
Hence and , so every and every occurs as some ; since and enumerate and , the map is surjective, and with step 7.2 it is a bijection of .
Likewise : if were eventually constant , then from some step on no round is completed, so no step has and ; by the argument of step 8.1 the mode is then eventually constant, and either it is forever, whence always while increases past , or it is forever, whence always while falls below .
For each let be the step at which the mode of round changes from to , that is the unique with , and , and let be the step at which round is completed, the unique with , and ; both exist by step 8.1 and step 9.2, and .
The step is preceded, within round , either by a step that added a term to a value , or by the completing step of the previous round, which added a term to a value . In both situations for the index used at the immediately preceding step.
Likewise the step is preceded within round by a step that added a term to a value , that step being either an earlier descent step or the switch itself, at which ; so for the index used at that step.
For the partial sums increase, every step of the climb adding a term ; for they decrease, every step of the descent adding a term . Hence for every with one has .
Put for the two indices appearing in step 11.1 and step 11.2. As those indices tend to infinity, by step 8.1 and step 9.2, so and by step 4.1, and by step 1.1. Thus and for every .
Fix and let be least with , which exists because the are strictly increasing. By step 11.3 every satisfies , and only the finitely many indices with are unaccounted for; each of those lies in a round of index at most and so is at most together with itself. Hence is finite or according as is, and taking the infimum over , which drives to infinity, gives .
Take for all , which satisfies the two conditions of step 4.3. Then and , so by step 11.3 every with has . Given a real , choose with for all ; then for all , so and the rearranged series converges with sum . This is claim 1.
Take and , which satisfy the two conditions. Then , so by step 11.3 every with has , a quantity that exceeds any prescribed real for all large ; hence . Taking instead and , which also satisfy the two conditions, gives on the same ranges, hence . This is claim 2.
By step 12.1 the subsequence tends to and tends to , in : when the target sequence is real-valued and convergent the two-sided bound of step 12.1 with gives it, and when the target sequence diverges the one-sided bound does.
By step 13.3 and [L11], ; so . The same argument applied to infima, with in place of and the lower bound of step 11.3 in place of the upper one, gives .
The bijection of step 5.3, built from the targets chosen in step 5.4, is therefore a rearrangement of whose partial sums have limit inferior and limit superior ; claims 1 and 2 are the special cases computed directly in step 13.1 and step 13.2, and claim 3 is the case .
Remarks
-
Only two properties of the series are used. That both part series diverge to (Positive and negative parts: and ; a series converges absolutely iff both and converge, and for a conditionally convergent series both diverge to ), which is what keeps the two supplies inexhaustible, and that (If a series converges then its terms tend to ), which is what makes the overshoot at each turning point vanish. Both hold for every conditionally convergent series and neither holds for an absolutely convergent one, whose part series both converge.
-
Where the well-ordering principle is used, and where it is not. It appears in step 2.1 and step 3.1, to define the increasing enumerations of and , and in step 5.1. It does not appear in the greedy rule: "take terms until the running sum crosses the target" is implemented as a one-step recursion whose state carries the two counters, the round and the running sum, so no least crossing index is ever selected. No choice principle is used anywhere; every object is determined by the data.
-
Zero terms are not a special case. They are collected into , so a run of zeros is consumed during a climb without moving the running sum, and the climb still terminates because the tail sums of are unbounded. Had been defined as , the zero-indexed terms would have had to be inserted separately for to be surjective.
-
The oscillating case is genuinely more than the two divergences. With both finite, the partial sums visit every neighbourhood of and of infinitely often and are eventually confined to a neighbourhood of ; the subsequential limit set of is then the whole interval, though nothing on this page needs that refinement.
Depends on
- Positive and negative parts: $a_k = a_k^{+} - a_k^{-}$ and $|a_k| = a_k^{+} + a_k^{-}$; a series converges absolutely iff both $\sum a_k^{+}$ and $\sum a_k^{-}$ converge, and for a conditionally convergent series both diverge to $+\infty$
- Rearrangement of a series along a bijection of $\mathbb{N}$, and unconditional convergence
- Absolutely convergent and conditionally convergent series, and the general starting index
- If a series converges then its terms tend to $0$
- The recursion theorem
- The well-ordering principle
- Injection, surjection, bijection
- Divergence to $+\infty$ and to $-\infty$
- Limit superior and limit inferior of a real sequence as $\inf_n \sup_{k \ge n} x_k$ and $\sup_n \inf_{k \ge n} x_k$ in $\overline{\mathbb{R}}$
- The extended real line $\overline{\mathbb{R}} = \mathbb{R} \cup \{-\infty, +\infty\}$, its order, and the arithmetic that is left undefined
- Convergence in $\overline{\mathbb{R}}$ and the extended subsequential limit set: $L \in \overline{\mathbb{R}}$ is an extended subsequential limit when some subsequence converges to $L$, or diverges to $L = \pm\infty$
- A real sequence converges to $L \in \mathbb{R}$ iff $\liminf x_k = \limsup x_k = L$, and diverges to $\pm\infty$ iff both equal $\pm\infty$
- 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
- Limits preserve non-strict inequalities
- The principle of mathematical induction
- Limits and Cauchy sequences of reals
Used by
- For a series of real numbers, unconditional convergence and absolute convergence are the same property Corollary
- A convergent series in ℝ² with Γ a line and Γ^⊥ a line, computed from the definition Example
- An explicit greedy rearrangement of the alternating harmonic series with sum 0, and the same recipe for any prescribed real Example
- FALSE: every rearrangement of a convergent series converges, and to the same sum False statement
- FALSE: if a convergent series in ℝⁿ does not converge absolutely, then every point of ℝⁿ is the sum of some rearrangement of it False statement
- Selected sums and products on this page that are proved to exist without being evaluated, and what their evaluation waits for Remark
- The same question in ℝᵈ: what the set of rearrangement sums looks like, and why that answer is not reachable at this point in the reading order Remark
- The set of rearrangement sums of a convergent series in ℝⁿ is a nonempty subset of the affine subspace s + Γ^⊥ Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 117 results over 26 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- Riemann series theorem (Wikipedia) (standard reference, not scraped)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 3 (standard reference, not scraped)
- N. Donaldson, Math 140A: Real Analysis notes (standard reference, not scraped)
- John K. Hunter, An Introduction to Real Analysis, Chapter 4 (standard reference, not scraped)
- W. Fisher, Introduction to Analysis (standard reference, not scraped)