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.
FALSE: finite partitions always suffice for complex total variation
Statement
False claim. For every complex measure, some finite measurable partition of each measurable set attains the total variation.
Facts & Assumptions
Given: The complex measure on .
For this measure, . (A complex L^1 density defines a complex measure whose total variation is |h| dmu)
If has positive measure, then .
Refutation
Let be any finite measurable partition of . [L1, A1] Applying [A1] on each positive-measure piece and summing gives
By [L1], the total variation of the whole interval is exactly , so [L1, step 1.1] ∎ step 1.1 shows that no finite partition attains it. Therefore the claim is false.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
13 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
- Sheldon Axler, Measure, Integration & Real Analysis, Chapter 9A (standard reference, not scraped)