Alphabeta Math
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.

Bounded tensor maps: extension, norm estimate, adjoint and commutation

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let H,H′,K,K′ be complex Hilbert spaces and let S∈B(H,H′), T∈B(K,K′) be bounded linear operators (A bounded linear operator between normed spaces). Write H⊗^K for the completion of the algebraic tensor product constructed in Hilbert tensor construction: inner product, completion and product bases, with inclusion κ.

(a) There is a unique bounded linear operator S⊗T:H⊗^K→H′⊗^K′ with (S⊗T)κ(u⊗v)=κ′(Su⊗Tv) for all u∈H, v∈K, and it satisfies ∥S⊗T∥≤∥S∥ ∥T∥ (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

(b) For Hilbert spaces H′′,K′′ and bounded S′:H′′→H, T′:K′′→K, one has (S⊗T)(S′⊗T′)=(SS′)⊗(TT′). In particular, for endomorphisms S:H→H, T:K→K, the endomorphisms S⊗IK and IH⊗T commute and their composite is S⊗T.

(c) The Hilbert adjoint (The Hilbert-space adjoint of a bounded operator) is (S⊗T)∗=S∗⊗T∗.

(d) If S,T are unitary, then so is S⊗T. No extension of unbounded maps, and no algebraic manipulation of domains of unbounded operators, is asserted.

Facts & Assumptions

Given: Complex Hilbert spaces H,H′,K,K′; bounded operators S∈B(H,H′), T∈B(K,K′); in (b), composable S′:H′′→H, T′:K′′→K; the completions H⊗^K, H′⊗^K′ of Hilbert tensor construction: inner product, completion and product bases with inclusions κ,κ′; the elementary tensors u⊗v.

[F1]

The construction of Hilbert tensor construction: inner product, completion and product bases gives: the algebraic tensor product H⊙K with u⊗v bilinear; a positive definite inner product with ⟨u⊗v,u′⊗v′⟩=⟨u,u′⟩H⟨v,v′⟩K; the completion H⊗^K with dense inclusion κ; unique orthonormal-coordinate expansions with ∥∑a,bcabea⊗fb∥2=∑a,b∣cab∣2 for orthonormal families (ea)⊆H, (fb)⊆K spanning finite-dimensional subspaces; and ∥κ(u⊗v)∥=∥u∥ ∥v∥.

[F2]

If X is a normed space, D⊆X a dense normed subspace, Y a Banach space and L:D→Y bounded linear, then L has a unique bounded linear extension to X of the same norm (A bounded linear map from a dense normed subspace into a Banach space extends uniquely with the same norm).

[F3]

A linear map is bounded exactly when it admits a finite bound ∥Lx∥≤C∥x∥, and the operator norm is the least such bound (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[F4]

The Hilbert adjoint L∗ of a bounded operator L∈B(X,Y) is the unique bounded operator with ⟨Lx,y⟩Y=⟨x,L∗y⟩X for all x∈X, y∈Y; it satisfies (L1L2)∗=L2∗L1∗, L∗∗=L and ∥L∗∥=∥L∥ (The Hilbert-space adjoint of a bounded operator, Hilbert-adjoint identities).

Proof

1.1givenF1algebra

[The bilinear extension on the algebraic tensor product] Put R0(u⊗v):=κ′(Su⊗Tv) and extend C-linearly to finite sums. This is well defined and C-linear on H⊙K because (u,v)↦Su⊗Tv is C-bilinear, composition of the linear maps S,T with the bilinear tensor map; thus R0 is the unique linear map on H⊙K with R0(u⊗v)=κ′(Su⊗Tv).

2.1step 1.1F1F3algebra

[One-sided norm estimates] Let z=∑i=1nui⊗vi∈H⊙K. Let V0=span⁡{vi} and let f1,…,fq be an orthonormal basis of V0; grouping the expansion of each vi in this basis gives z=∑b=1qub⊗fb with ub∈span⁡{ui}. By the norm formula of [F1] and ∥Sub∥≤∥S∥ ∥ub∥, ∥(S⊗I)z∥2=∑b∥Sub∥2≤∥S∥2∑b∥ub∥2=∥S∥2∥z∥2, so the map S⊗IK on elementary tensors is bounded with norm at most ∥S∥; symmetrically ∥(IH⊗T)z∥≤∥T∥ ∥z∥. Hence ∥R0z∥≤∥S∥ ∥T∥ ∥z∥ for all z∈H⊙K, because R0 is the composite of the two one-sided maps on elementary tensors and the estimates compose.

3.1step 1.1step 2.1F2

[Extension to the completions] By [F2] applied to the dense subspace H⊙K of H⊗^K and the Banach space H′⊗^K′, the map R0 has a unique bounded linear extension S⊗T:H⊗^K→H′⊗^K′ of the same norm; by step 2.1 its norm is at most ∥S∥ ∥T∥, and uniqueness also shows that (S⊗T)κ=R0. This is clause (a).

4.1step 3.1F2algebra

[Products and commutation] For u⊗v one has (S⊗T)(S′⊗T′)(u⊗v)=κ′(SS′u⊗TT′v)=(SS′⊗TT′)(u⊗v); the two maps are bounded and agree on the dense subspace H′′⊙K′′, hence everywhere by uniqueness of bounded extensions, giving the first identity of (b) for elementary tensors in H′′⊙K′′. In the endomorphism case, taking T′=IK, S′=IH and using I⊗I=I shows (S⊗IK)(IH⊗T)=S⊗T; applying the same identity with the roles exchanged gives (IH⊗T)(S⊗IK)=S⊗T, since SIH=S and IKT=T.

4.2step 3.1F1F4algebra

[Adjoint] For u∈H, u′∈H′ and v∈K, v′∈K′, ⟨(S⊗T)κ(u⊗v),κ′(u′⊗v′)⟩=⟨Su,u′⟩H′⟨Tv,v′⟩K′=⟨u,S∗u′⟩H⟨v,T∗v′⟩K=⟨κ(u⊗v),(S∗⊗T∗)κ′(u′⊗v′)⟩, using [F4] and the pairing formula of [F1]. Both sides are sesquilinear in the elementary tensors and continuous in each argument, and the elementary tensors span a dense subspace, so the identity holds on all of H⊗^K×H′⊗^K′; by the uniqueness in [F4], (S⊗T)∗=S∗⊗T∗.

5.1step 4.1step 4.2algebra∎

[Unitary case] If S,T are unitary then S∗S=I, SS∗=I, T∗T=I, TT∗=I, so by steps 4.1 and 4.2 (S⊗T)∗(S⊗T)=S∗S⊗T∗T=I⊗I=I and likewise (S⊗T)(S⊗T)∗=I, whence S⊗T is unitary.

Depends on

Dependency tree · 2 levels

Sources