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.

Covariance operator and reproducing-kernel Hilbert space of a Banach Gaussian

Definition

Assume AC. Let W be a centered Borel Gaussian random element in a real separable Banach space B, with law μ. For ℓ∈B∗ define Cℓ=E[ℓ(W)W]∈B,Q(ℓ,m)=E[ℓ(W)m(W)](ℓ,m∈B∗). The Cameron–Martin reproducing-kernel Hilbert space H is the completion of B∗/N in the inner product induced by Q, where N={ℓ∈B∗:Q(ℓ,ℓ)=0}. The canonical map sends the class of ℓ to Cℓ and extends continuously to an injective map i:H→B; we identify H with its image in B and use the completed Hilbert norm ∥⋅∥H. The preceding construction is well-defined by The Banach Gaussian covariance and RKHS construction is well-defined ↗.

The term RKHS here denotes this covariance-induced Hilbert space of shifts inside B; it is not the space of all continuous functions on an arbitrary index set.

Depends on

Used by

Dependency tree · two levels

37 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