Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
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.

Best-approximation gap of a finite-dimensional eigenspace

Definition

Let V be a real or complex Hilbert space with a bounded, Hermitian, coercive form a as in Bounded, coercive and symmetric sesquilinear forms. Its energy norm is ∥v∥a:=a(v,v). Let E⊆V be a nonzero finite-dimensional subspace and let Vh⊆V be a finite-dimensional subspace. Define the directed energy distance and best-approximation gap by da(v,Vh):=inf⁡wh∈Vh∥v−wh∥a,δa(E,Vh):=sup⁡v∈E∥v∥a=1da(v,Vh). When E=span⁡{e1,…,em} is the first m continuous eigenspace directions and Vh is the conforming Galerkin space, write δh:=δa(E,Vh). This is a directed gap from E to Vh; it does not by itself assert a two-sided gap between two eigenspaces.

The quantity is finite and satisfies 0≤δa(E,Vh)≤1, since 0∈Vh gives da(v,Vh)≤∥v∥a on the unit sphere.

Depends on

Used by

Dependency tree · two levels

7 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