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 weighted total-variation measure space is complete
Statement
The normed vector space of Weighted total-variation space for population measures is complete.
Facts & Assumptions
Given: , , and with norm .
Weighted total-variation space for population measures: consists of finite signed Borel measures with , and .
Proof
The map is linear. Multiplication by the positive function gives , so [F1] yields . It is onto because for any finite signed measure , satisfies and .
Let be Cauchy in total variation. Choose increasing indices with , taking the least qualifying index at each step. For each Borel set , the series converges absolutely, uniformly in , because each summand is bounded by its total-variation norm. Define by that sum. If are disjoint, the double series of absolute values is bounded by , so the two countable sums may be interchanged; hence is countably additive. The same tail bound gives . Given , choose so this is below and the Cauchy property gives for all . For any , choose and pass to the limit in ; since , this gives . Thus finite signed measures are complete in total variation.
Pulling the limit back through the inverse isometry gives a limit in for every Cauchy sequence there.
Depends on
Used by
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Sources
- Philippe Laurençot, Weak compactness techniques and coagulation equations, §2 (standard reference, not scraped)