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.
Fourier transform of a tempered distribution
Definition
Assume Countable Choice, exactly as required by the published Schwartz Fourier theorem. For put
For define its Fourier transform by
The published automorphism Fourier transform is a topological automorphism of Schwartz space sends Schwartz tests continuously to Schwartz tests, so composition with the continuous functional of Tempered distribution is again a continuous complex-linear functional. Hence . The pairing is bilinear: there is no conjugation and no inverse transform on the right-hand side. Countable Choice is used only through the cited published Fourier construction; transposition itself uses no additional choice.
Depends on
Used by
- Fourier transform on tempered distributions is well defined and continuous Lemma
- Dirac comb is fourier invariant Theorem
- Fourier differentiation and multiplication identities on tempered distributions Theorem
- Fourier transform agrees with l one and plancherel transforms Theorem
- Fourier transform of a compactly supported distribution is a smooth polynomially bounded multiplier Theorem
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
- Semyon Dyatlov, Lecture notes for 18.155 (2022) (standard reference, not scraped)