Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-generatedPipeline-generatedjudge pass (gpt-6-luna)
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  • 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.

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Tensor products of operator matrix units form a basis

Statement

Let H,H′ be finite-dimensional (have finite bases by Finite-dimensional vector space, and its dimension dim⁡FV; infinite-dimensional means having no finite basis) complex inner-product spaces with ordered orthonormal bases (eu)u<n and (fs)s<m. For u,v<n and s,t<m define Euvx:=⟨x,ev⟩eu and Fsty:=⟨y,ft⟩fs. Then (Euv⊗Fst)u,v,s,t is a basis of L(H⊗H′). Empty dimensions give the empty basis of the zero endomorphism space. The root pairing is linear in its first argument, so the displayed matrix-unit maps are linear.

Facts & Assumptions

Given: The finite-dimensional spaces, their ordered orthonormal bases, and the matrix-unit maps in the Statement.

[F1]

Ordered tensor registers, their inner product, and wire permutations: the tensor product has its ordered product basis and product inner product.

[F2]

The product basis is orthonormal and tensor dimensions multiply: the product basis is orthonormal, spans, and has dimension nm, including zero factors.

[F3]

Tensor products of finitely many linear maps: the tensor of linear maps is the unique linear extension of its action on elementary tensors.

Proof

1.1givenF1F2F3algebra

For a product basis vector ev′⊗ft′, [F3] gives (Euv⊗Fst)(ev′⊗ft′)=eu⊗fs when v′=v and t′=t, and gives 0 otherwise, by orthonormality in [F1]. Thus each tensor matrix unit has a single coordinate 1 and zeros elsewhere in the product basis.

2.1givenF2F4step 1.1algebra∎

Every endomorphism T of H⊗H′ has a unique coordinate coefficient c(u,s),(v,t) for the image of each product basis vector ev⊗ft. The finite sum ∑u,s,v,tc(u,s),(v,t)Euv⊗Fst has the same image as T on each such basis vector by step 1.1; [F4] therefore makes it equal to T. The same coordinate entries show that this expression is unique. If n=0 or m=0, the product space is zero by [F2] and both the basis and sum are empty.

Depends on

Used by

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Sources