Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-12
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.

Compact intertwiners produce finite dimensional invariant subspaces

Statement

Assume AC. A nonzero invariant square-integrable kernel with zero marginals for a measure-preserving transformation of a completed Lebesgue probability space produces a nonzero finite-dimensional UT-invariant subspace E of H0. The restriction UT∣E is unitary, even when T is not invertible.

Facts & Assumptions

[F1]

The associated S=K∗K is nonzero, positive, self-adjoint and compact on H0, and commutes with UT Nonzero compact kernel operators yield nonzero positive compact k star k.

[F3]

Invariant zero-marginal kernels give commuting operators preserving H0 Invariant square integrable kernel produces a compact intertwiner.

[F4]

Koopman is an isometry and H0 is closed Eigenfunction for a probability system.

[F5]

A finite-dimensional linear map satisfies rank-nullity Rank-nullity: dim⁡FV=nullity⁡T+rank⁡T.

[F6]

Proof

Given: The kernel in the statement and AC.

1.1F1F2F3F4F6

F3 supplies the nonzero restriction of K to the closed space H0, so this space is nonzero. Apply F1 there, then F2, to obtain α>0 and the nonzero finite-dimensional subspace E=ker⁡(S−αI)⊆H0. AC supplies all inherited projection and compactness selections.

2.1F1F4F5step 1.1∎

For f∈E, commutation gives S(UTf)=UT(Sf)=αUTf, so UTf∈E. The restriction is injective because UT preserves norm. Rank-nullity gives image dimension equal to dim⁡E, and a subspace of a finite-dimensional space with full dimension equals that space: a basis of a proper subspace could be enlarged by a vector outside it, contradicting the dimension. Thus the restriction is surjective. Being a surjective isometry, it is unitary.

Depends on

Used by

Dependency tree · two levels

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Sources