Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)
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.

Sobolev spaces on a compact Riemannian domain with boundary

Definition

Assume Countable Choice.

Let n=dim⁡M≥0 and let (M,g) be a compact smooth Riemannian manifold with smooth boundary, with no orientability assumption. Fix a finite smooth atlas of interior and boundary charts and a smooth partition of unity subordinate to it. If n=0, define every Hk(M) to be the space of scalar-valued functions on the finite set M with the counting-measure ℓ2 norm. For n≥1 and an integer k≥0, define Hk(M) as the completion of C∞(M) in the sum of the Euclidean Wk,2 norms of the localized coordinate representatives; derivatives in a boundary chart are taken on the corresponding half-space. Define H01(M) as the closure of Cc∞(M∘) in H1(M). If ∂M=∅, set H1/2(∂M)={0}. If n=1, set H1/2(∂M)=K∂M with its counting-measure ℓ2 norm, where K is the scalar field. For n≥2, define H1/2(∂M) by the fixed finite boundary atlas and partition of unity, using the Euclidean fractional Slobodeckij space W1/2,2(Rn−1) for each localized representative. For real scalars, define H−1/2(∂M) as the continuous linear dual of H1/2(∂M). For complex scalars, define it as the continuous conjugate-linear dual: its pairing with h∈H1/2(∂M) is linear in the dual element and conjugate-linear in h, using the Riemannian boundary density. These are the fixed-atlas norms used on this page; no atlas-independence assertion is part of this definition.

Depends on

Used by

Dependency tree · two levels

32 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