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.

Distributional derivative

Definition

For a distribution u∈D′(Ω) in the convention of Distribution and a multi-index α∈N0n, its distributional derivative is ⟨∂αu,φ⟩=(−1)∣α∣⟨u,∂αφ⟩(φ∈D(Ω)). The test derivative is a continuous linear endomorphism by Test function operations are continuous. Its composition with u, multiplied by the indicated sign, is therefore a continuous complex-linear functional, so this definition produces a distribution. The pairing is bilinear, with no complex conjugation. For α=0 the operation is the identity; for one coordinate derivative its sign is minus. Every derivative of the zero distribution is zero, including on the empty domain. No choice axiom enters this construction. Compatibility with classical derivatives requires an integration-by-parts argument where it is used; it is not part of the definition.

Depends on

Dependency tree · 2 levels

Sources