How statement and proof provenance work
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Equivalent forms of unconditional convergence
Statement
Let be a Banach space and let , written , be a positively indexed family. The following are equivalent.
- is unconditionally convergent.
- The net , directed by inclusion over finite subsets of , converges.
- For every there is such that for every finite .
- Every subseries , for , converges.
- For every bounded scalar family , the series converges.
In (1) and (2) the limit is the fixed-order sum.
Facts & Assumptions
Every Cauchy sequence in a Banach space converges (Banach space).
Unconditional convergence means convergence of every permutation to the same sum (Unconditional convergence of a Banach-space series).
Proof
Given: The objects and hypotheses in the Statement.
Suppose (3) fails, and enumerate finite subsets of by their finite codes. [given] Recursively build a listing as follows. At stage , first append the least positive integer not yet listed, let be the greatest integer listed so far, and then take the least coded finite set with and append its members in increasing order. The negation of (3) supplies such an after every finite stage, and least codes make the recursion unique.
No integer is listed twice, because every block lies beyond all [given, L2, step 1.1] earlier entries. Every positive integer is eventually listed, since each stage appends the current least omitted integer. Thus the listing is a permutation of . Each is a consecutive block whose increment has norm at least , so the rearranged partial sums are not Cauchy. By [L2], (1) therefore implies (3).
Assume (3). Given , choose for . If finite [given, L1, step 2.1] both contain , their sums differ by two disjoint finite tail sums and hence by less than . In particular, the ordinary partial sums are Cauchy, so [L1] gives a limit . Applying (3) once more to a finite containing a sufficiently long initial segment shows . Thus the finite-subset net converges to , and (3) implies (2).
Every permutation's initial index sets are cofinal among finite subsets: [given, L2, step 3.1] each fixed finite set is eventually included. Hence (2) makes every rearranged partial-sum sequence converge to the net limit. The ordinary initial segments are also cofinal, so this limit is the fixed-order sum. Thus (2) implies (1).
Under (3), any finite tail of any subseries is a finite tail set of the [given, L1, step 1.1, step 4.1] original series. It satisfies the Cauchy criterion, so [L1] proves (4). Conversely, if (3) failed, the union of the disjoint blocks from step 1.1, listed increasingly, would define a subseries having successive block increments of norm at least , hence not Cauchy. Thus (3) and (4) are equivalent.
Assume (3), let , and take a finite tail set . A finite layer-cake decomposition shows that for , is a convex combination of subset sums of . Writing a real multiplier as its positive part minus its negative part, and a complex multiplier as the same decomposition of real and imaginary parts, gives
(The factor is over the reals.) Condition (3) and [L1] now prove (5). Taking to be the indicator of an infinite subset shows that (5) implies (4). [L1, (3), finite convexity]
Steps 2.1--6.1 give both directions among all five conditions. The [given, step 4.1, step 6.1] common-sum identification is the conclusion of step 4.1.
Depends on
Used by
Dependency tree · two levels
5 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Michael Müger, Introduction to Functional Analysis (standard reference, not scraped)