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 criterion for Banach spaces
Statement
For a normed space , the following are equivalent.
- is a Banach space.
- Every absolutely convergent series in converges.
Facts & Assumptions
Given: A normed space .
A Banach space is complete for its norm metric (Banach space).
An absolutely convergent series has Cauchy partial sums (An absolutely convergent series has Cauchy partial sums).
Every absolutely convergent series in converges.
Proof
Assume is Banach. If is absolutely convergent, [L2] makes its partial sums Cauchy, and [L1] then makes those partial sums converge in . So every absolutely convergent series converges.
Assume [A1]. Let be a Cauchy sequence in . Choose inductively a strictly increasing sequence with whenever . Then for every .
The series is absolutely convergent because converges and each term has norm at most . By [A1] it therefore converges to some .
Its partial sums are , so the subsequence converges to .
Given , choose so that for , and choose with and . Then for every , . So converges, and is complete.
Step 1.1 proves and steps 1.2 through 4.1 prove , so the two conditions are equivalent.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
17 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
- Andrew Lin and Casey Rodriguez, MIT 18.102 Introduction to Functional Analysis (standard reference, not scraped)
- Gerald Teschl, Topics in Real and Functional Analysis (standard reference, not scraped)