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.
Uniqueness of the L1 Fourier transform
Statement
Assume countable choice. If and , then almost everywhere. Equality of the transforms almost everywhere already suffices.
Facts & Assumptions
Given: , the stated inputs and The Axiom of Countable Choice ().
The transform is linear and continuous as a function of frequency (The L1 transform is bounded and uniformly continuous).
A function and its integrable transform obey inversion almost everywhere (L1 Fourier inversion with an integrable transform).
Proof
Set . By linearity, . If equality was given only almost everywhere, continuity still implies this everywhere: a nonzero value would remain bounded away from zero on an open ball, which contains a positive-volume box and cannot be null. Thus the transform of h is the zero integrable function.
F2 applies to h, since both h and its zero transform are integrable. It gives almost everywhere, so as classes. Countable choice is inherited from inversion (and the Euclidean measure interface in the optional almost-everywhere hypothesis).
Depends on
Used by
Dependency tree · two levels
20 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
- Gerald Teschl, Topics in Real and Functional Analysis (2017) (standard reference, not scraped)