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Second-quantized multipliers, joint spectral measure and exact domains

Statement

Assume Countable Choice The Axiom of Countable Choice (ACω). Let (X,A,μ) be a sigma-finite measure space and let ω=(ω1,…,ωd):X→Rd be a finite-valued measurable map, where d≥1. Put H=L2(X,μ;C) with the second-variable-linear pairing of Schwartz/distribution spaces and Hilbert Fock conventions, and form the bosonic Fock space Fs(H). For n≥1, identify Hs(n) with the symmetric subspace of L2(Xn,μ×n‾;C) by iterating Tensor products of sigma-finite L2 spaces. Set X0={⋆}, s0(⋆)=0, and for n≥1 set sn(x1,…,xn)=∑r=1nω(xr)∈Rd. For 1≤j≤d, define Hj by multiplication by the jth coordinate sn,j on sector n, with exact domain D(Hj)={Ψ=(Ψn):∑n≥1∫Xn∣sn,j∣2∣Ψn∣2 dμ×n‾<∞}. Each Hj is self-adjoint, and Dfin∩D(Hj) is a graph core. The joint projection-valued measure Projection valued measure on Rd is (E(B)Ψ)n=1sn−1(B)Ψn(n≥1),(E(B)Ψ)0=1B(0)Ψ0. For θ∈Rd, let Hθ be multiplication on sector n by θ⋅sn, with its maximal square-integrability domain. Then Uθ(t)Ψ:=(eitθ⋅snΨn)n≥0 is a strongly continuous unitary group on all of Fock space, and its norm derivative at zero exists exactly for Ψ∈D(Hθ), where it is iHθΨ. The zero-particle sector is the vacuum eigenvector at joint value 0.

Facts & Assumptions

Given: Countable Choice; a sigma-finite measure space (X,A,μ); a finite-valued measurable ω:X→Rd; and the completed product measures and bosonic Fock construction.

[A1]

Sigma-finite product measures exist, have the rectangle formula, and their completions alter measurable sets only by null subsets. Finite, sigma-finite, and semifinite measures The product measure of two sigma-finite measure spaces The completed product measure and uniqueness of the sigma-finite product measure imply that finite products are independent of parenthesization and invariant under coordinate permutations. For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique

[A2]

Set X0={⋆} with sigma-algebra {∅,{⋆}} and unit mass μ0({⋆})=1. For one factor put A1=A and μ1=μ. For n≥2, let A⊗n be the recursively defined product sigma-algebra and let μn be the completion of the n-fold product measure on it. Thus in the Statement μ×n‾ means μn for n≥2, and by the one-factor base convention means μ for n=1; the vacuum component uses μ0.

[A3]

Equip Rd with its Borel sigma-algebra B(Rd). The map ω is measurable from (X,A) to (Rd,B(Rd)), and the PVM E in the Statement is indexed by B(Rd), as in Projection valued measure.

[F1]

The Fock space is the square-summable direct sum of its symmetric sectors, with the second-variable-linear pairing fixed in Schwartz/distribution spaces and Hilbert Fock conventions. Each sector is the range of its orthogonal permutation projection in a completed Hilbert tensor power for n≥1; Hs(0)=C. Schwartz/distribution spaces and Hilbert Fock conventions Permutation sector projections on the n-fold tensor power

[F2]

For n≥2, the product-tensor unitary sends f1⊗⋯⊗fn to ∏r=1nfr(xr); iteration identifies the full tensor power with the full completed product L2 space. For n=1 the identification is the identity on L2(X,μ). Tensor products of sigma-finite L2 spaces

[F3]

Coordinate permutations act unitarily, and the symmetric sector is the range of their orthogonal averaging projection. Hilbert tensor construction: inner product, completion and product bases Permutation sector projections on the n-fold tensor power

[F4]

For a densely defined operator, its adjoint is characterized by the inner-product identity; a symmetric operator is self-adjoint exactly when its domain equals the adjoint domain. Use the reversed-pairing form of the definitions for the second-variable-linear convention. Adjoint of a densely defined operator Symmetric, self-adjoint and essentially self-adjoint operators

[F5]

A core for a closed operator is a subspace of its domain dense for the graph norm ∥x∥T=(∥x∥2+∥Tx∥2)1/2. Unbounded linear operators: domain, graph and extension Densely defined, closed and closable operators, and cores

[F6]

Dominated convergence and Fatou's lemma apply on each measure space (Xn,μn) and on the countable disjoint union (Ω,μΩ); these integral theorems do not require the measure spaces to be complete. Dominated convergence Fatou's lemma

[F7]

The complex exponential satisfies ∣eitq∣=1 for real t,q and eitqeisq=ei(t+s)q. The complex exponential by its power series exp⁡(z+w)=exp⁡z exp⁡w, and the complex exponential extends the real exponential

Proof

1.1A1A2A3F1F2F3givenconstruct

For n≥1, each sector Hs(n) is a closed subspace of its Hilbert tensor power, because it is the range of an orthogonal projection [F3]; the zero-particle sector Hs(0)=C is also complete. To prove that the Fock direct sum is complete for arbitrary H, let (Ψ(k))k≥1 be Cauchy in its square-sum norm. Each coordinate is Cauchy in the complete sector Hs(n), so it has a limit Ψn. A Cauchy sequence in a normed space is bounded (its tail lies within distance 1 of one fixed term, and its finite initial segment is bounded); taking limits of each finite partial sum ∑n=0N∥Ψn(k)∥2 shows sup⁡N∑n=0N∥Ψn∥2<∞, hence Ψ=(Ψn) belongs to the direct sum. Given ε>0, choose K so that ∥Ψ(k)−Ψ(ℓ)∥≤ε for k,ℓ≥K; for fixed k≥K, take ℓ→∞ in every finite coordinate sum to obtain ∑n=0N∥Ψn(k)−Ψn∥2≤ε2 for every N. Taking the supremum over N proves Ψ(k)→Ψ. Truncating the coordinate sequence proves that Dfin is dense. For n=1 use the identity in [F2]. For n≥2, iterate the product-tensor unitary of [F2]; induction gives a unitary from H⊗^n to the full completed-product L2(Xn,μn). On elementary tensors the permutation Uπ becomes coordinate permutation, so by density the unitary intertwines Ps,n with averaging over coordinate permutations [F3]. Its restriction identifies Hs(n) with the closed symmetric subspace. Each sn is Borel measurable by [A3], since it is a finite sum of measurable coordinate maps, and is invariant under all permutations. The n=0 sector is C by definition.

2.1A2A3F1F2F3F6step 1.1givenconstruct

Let Ω=⨆n≥0Xn with the disjoint-union sigma-algebra and measure μΩ(C)=∑n≥0μn(C∩Xn), using the conventions of [A2]; write sj for sn,j on component n. The Fock realization in step 1.1 is a closed subspace of L2(Ω,μΩ) consisting of symmetric components. For B∈B(Rd), define E(B) by multiplication by 1s−1(B). Since s is invariant under permutations, this multiplier preserves the symmetric subspace. It is an orthogonal projection because its multiplier is real and idempotent; E(∅)=0, E(Rd)=I and E(B)E(C)=E(B∩C) follow pointwise. For pairwise disjoint Bk∈B(Rd) with union B, the squared norm of E(B)Ψ−∑k=0NE(Bk)Ψ is ∑n≥0∫Xn1sn−1(B∖∪k=0NBk)∣Ψn∣2 dμn. The indicators tend pointwise to zero and the integrand is bounded by ∣Ψn∣2, whose total integral is ∥Ψ∥2; dominated convergence [F6] gives norm convergence. Hence E is a strongly countably additive PVM on the Borel sets.

3.1F4F6step 2.1givenalgebra

Fix a real measurable multiplier f on Ω that is invariant under coordinate permutations, and define MfΨ=fΨ on the symmetric domain D(Mf)={Ψ:fΨ∈L2(Ω)}. This domain is dense: the symmetric cutoffs Ψ1∣f∣≤m belong to it and converge in norm by dominated convergence. Reality of f makes Mf symmetric. If Ψ∈D(Mf∗) and K=Mf∗Ψ, then for each m the vector vm=(fΨ−K)1∣f∣≤m is symmetric and lies in D(Mf), since f is bounded on its support. The adjoint identity gives 0=⟨Mfvm,Ψ⟩2−⟨vm,K⟩2=∫∣f∣≤m∣fΨ−K∣2 dμΩ. Taking the union over m shows fΨ=K almost everywhere, so Ψ∈D(Mf) and Mf∗Ψ=MfΨ. Conversely, for every Ψ∈D(Mf), reality of f gives the adjoint identity against every domain vector, so Mf∗Ψ=MfΨ. Therefore Mf is self-adjoint on its maximal multiplication domain. Apply this to f=sj to obtain each self-adjoint Hj, and to f=θ⋅s to obtain Hθ.

4.1F5step 2.1step 3.1givenalgebra

For each j, the multiplier sj defines Hj with the displayed component domain because the squared norm of HjΨ is exactly ∑n∫∣sn,j∣2∣Ψn∣2dμn; the vacuum term is zero. For θ, the same calculation gives D(Hθ)={Ψ:∑n∫∣θ⋅sn∣2∣Ψn∣2dμn<∞}. The PVM from step 2.1 has coordinate functions sj, so its indicators give the joint spectral projections for all the Hj and its scalar-coordinate multipliers have these exact domains. Truncating a vector in any such domain after sector N makes both its norm tail and operator-image tail tend to zero; hence Dfin∩D(Hj) and Dfin∩D(Hθ) are graph cores.

5.1F6F7step 3.1step 4.1givenalgebra∎

By [F6], Uθ(t) is unitary and Uθ(t+s)=Uθ(t)Uθ(s) on each component, including the vacuum where the phase is one. For any Ψ, the squared norm of Uθ(t)Ψ−Uθ(t0)Ψ is the integral over Ω of ∣eitθ⋅s−eit0θ⋅s∣2∣Ψ∣2; the integrand tends pointwise to zero and is bounded by 4∣Ψ∣2, so [F6] proves strong continuity. If Ψ∈D(Hθ), the pointwise difference quotient tends to i(θ⋅s)Ψ and its squared error is bounded by 4∣θ⋅s∣2∣Ψ∣2; dominated convergence proves norm convergence. Conversely, if the difference quotient has a norm limit as t→0, take tm=1/m. Fatou's lemma [F6] on the disjoint union gives ∑n∫∣θ⋅sn∣2∣Ψn∣2dμn≤lim inf⁡m∥Uθ(tm)Ψ−Ψtm∥2<∞, so Ψ∈D(Hθ); the forward calculation identifies the limit as iHθΨ. This proves the exact derivative criterion and all claims.

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