Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-13
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.

Regular distribution from a locally integrable function

Definition

For open Ω⊆Rn, write f∈Lloc1(Ω) when f:Ω→C is Lebesgue measurable and ∫K∣f∣<∞ for every compact K⊆Ω. This extends A locally integrable function on Rn: equivalently, require integrability on every ball whose closure is a compact subset of Ω. Such balls finitely cover each compact K, and conversely their closures are compact; on all of Rn, any ball lies in a larger compact closed ball.

For a test φ as in Test function space d of an open set, define the regular functional

⟨uf,φ⟩=∫Ωf(x)φ(x) dx.

This is well-defined since ∣∫fφ∣≤sup⁡K∣φ∣∫K∣f∣ for K=supp⁡φ. It is complex-linear in f and in φ and depends only on the almost-everywhere class of f. For an empty support the integral is zero. The subsequent embedding theorem establishes continuity, so that this is a distribution, and injectivity modulo almost-everywhere equality. That theorem states the Countable Choice cost of its injectivity proof; no choice is needed to define the displayed pairing.

Depends on

Dependency tree · 2 levels

Sources