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LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generated
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.

Smooth functionals extend continuously to the white-noise topology

Statement

Let H(δ) be the coefficient Hilbert space of Logarithmic negative Sobolev spaces for white noise, with weights wl=al−1(log⁡al)−2δ. If g∈H2s for some s>1/2, then the pairing Lg(x)=∑l,kxlkglk, where glk=⟨g,ψlk⟩, converges absolutely for every x∈H(δ) and is continuous, with ∣Lg(x)∣≤Cs,δ∥g∥H2s∥x∥H(δ). On L2([0,1]) this extension agrees with the usual inner product ⟨f,g⟩L2.

Facts & Assumptions

Given: The wavelet coefficient weights and the Sobolev coefficient norm in the Statement.

[F1]

Smooth linear functionals on the white-noise topology: g∈H2s means ∑l,kal2s∣glk∣2<∞, and its pairing with an L2 function is the L2 inner product.

[F2]

Logarithmic negative Sobolev spaces for white noise: ∥x∥H(δ)2=∑l,kwl∣xlk∣2, where wl=al−1(log⁡al)−2δ and the coarsest level has finite multiplicity.

Proof

1.1F1F2givenalgebra

Since s>1/2, the level factor al1−2s(log⁡al)2δ is bounded: it tends to zero as al→∞, because a positive power of al dominates every fixed power of log⁡al, and the finitely many coarsest levels have finite weights. Thus wl−1≤Cs,δ2al2s after increasing a finite constant.

2.1F1F2step 1.1algebra

Weighted Cauchy–Schwarz gives ∑l,k∣xlkglk∣≤(∑l,kwl∣xlk∣2)1/2(∑l,kwl−1∣glk∣2)1/2≤Cs,δ∥x∥H(δ)∥g∥H2s. The same bound applied to x−y proves continuity and absolute convergence of the series.

3.1F1F2step 2.1algebra∎

If x is the coefficient sequence of f∈L2, its finite orthonormal projections converge to f in L2 because (ψlk) is a complete orthonormal basis. Their inner products with g are the finite partial sums of the displayed pairing, and converge to ⟨f,g⟩L2 by continuity of the inner product. Step 2.1 identifies the same limit with Lg(x).

Depends on

Used by

Cited to discharge well-definedness by Smooth linear functionals on the white-noise topology.

Dependency tree · two levels

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Sources