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Qm Math Fock And Equilibrium

1 · Prerequisites

2 · Summary

The Fock-space and equilibrium layer of the non-relativistic quantum mechanics mathematical prerequisites, entirely mathematical. The page begins with the completed-tensor-power Fock space and its sector projections, the creation and annihilation core operators with their contraction bounds, closed adjoint domains and the number operator; then single-mode oscillator coefficients, the fixed-mode number law and the single-mode thermal trace; then the countable-mode product criterion and the fermionic and dilute grand-canonical formulas with the finite Gibbs variational minimum and a divergent-entropy example; and finally the fixed-particle branch: bounded fixed-N operators, the permutation-restricted and Coulomb self-adjointness of the fixed-N Hamiltonian, the Slater direct and exchange calculation, the continuum transverse free Fock Hamiltonian, the cutoff dipole relative bound, the controlled Dyson series for vacuum emission and the golden-rule coefficient approximate identity.

Every item carries domain: mathematics and depends only on mathematical suppliers from qm-math-composites, qm-math-oscillator, qm-math-orbital-and-spin, qm-math-coulomb, qm-math-controlled-dynamics and published mathematics. Physical-sounding objects such as the transverse mode space, the dipole matrices, the coupling η0, the cutoff Λ and the spectral transition density Jb are defined as mathematical model data with declared hypotheses; no measurement postulate, statistical inference or empirical claim is made, and the scope paragraphs of the underlying items record where a physical identification would require a separate assumption. The companion page qm-math-fock-and-equilibrium-examples stays mathematics as well.

The central chain is Hilbert direct-sum construction, Fock sector projections, Creation contraction bounds and Closed adjoint sector domains for the algebraic structure, the product criterion Countable-mode product criterion for convergence of the equilibrium weights (with the fermionic formulas of Fermion and dilute grand-canonical formulas and the variational minimum of Finite Gibbs free-energy minimum), and the light-matter branch Cutoff dipole relative bound, Vacuum emission Dyson convergence, Golden-rule coefficient approximate identity for the finite-time self-adjoint model and its first-order coefficient limit.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

TheoremStatement: AI-adaptedProof: AI-adaptedOpen item page →

Hilbert direct-sum construction

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let H be a complex Hilbert space with inner product linear in the first argument (Hilbert space, Real and complex inner-product spaces and their induced length). Let H⊗0:=C, H⊗1:=H and H⊗(n+1):=H⊗n⊗^H be the completed tensor powers with elementary tensors u1⊗⋯⊗un (Hilbert tensor construction: inner product, completion and product bases); for n≥1 let P+(n)∈B(H⊗n) be the symmetric projection of Permutation sector projections on the n-fold tensor power and set P+(0):=idC. Write ran⁡P+(n) for its range and define

F(H):={ψ=(ψn)n∈N: ψn∈ran⁡P+(n) for all n, ∑n∈N∥ψn∥2<∞}.

Then:

(a) for ψ,φ∈F(H) the scalar series ∑n∈N⟨ψn,φn⟩ converges absolutely and defines a sesquilinear form, linear in the first argument, with respect to which F(H) is a complex vector space with inner product ⟨ψ,φ⟩:=∑n∈N⟨ψn,φn⟩ (Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs, Series and absolute convergence in a normed space);

(b) (F(H),⟨⋅,⋅⟩) is a Hilbert space, i.e. the induced norm is complete (Hilbert space);

(c) the vacuum vector Ω:=(1,0,0,… ) satisfies ∥Ω∥=1, and the finite-particle space F0:={ψ∈F(H):ψn=0 for all but finitely many n} is a dense linear subspace of F(H) (Dense, nowhere dense and codense subsets of a topological space, and the criterion by basic open sets);

(d) for every n the map ιn:ran⁡P+(n)→F(H), ιn(u):=(0,…,0,u,0,… ) (entry in coordinate n) is a linear isometry of ran⁡P+(n) onto the closed subspace of vectors supported in coordinate n;

(e) if H admits a countable complete orthonormal family (ei)i∈I, I at most countable (Orthonormal families, complete orthonormal systems and Hilbert bases), then F(H) is separable (Separability: the existence of an at most countable dense subset);

(f) direct sums of self-adjoint operators: if for every n∈N, including n=0, a self-adjoint operator Tn on the Hilbert space ran⁡P+(n) with domain D(Tn)⊆ran⁡P+(n) is given (so T0 is a self-adjoint operator on C), (Symmetric, self-adjoint and essentially self-adjoint operators, Unbounded linear operators: domain, graph and extension), and

D(T):={ψ∈F(H): ψn∈D(Tn) for all n, ∑n∈N∥Tnψn∥2<∞},(Tψ)n:=Tnψn,

then T is self-adjoint and D(T) is dense; if in addition every Tn is bounded with sup⁡n∥Tn∥<∞, then T is bounded with ∥T∥=sup⁡n∥Tn∥ (A bounded linear operator between normed spaces).

No physical interpretation of F(H), of the tensor powers or of the direct-sum operators is asserted.

Facts & Assumptions

Given: the complex Hilbert space H with inner product linear in the first argument, the completed tensor powers H⊗n with symmetric projections P+(n), the set F(H), vectors ψ,φ∈F(H), and, in part (f), self-adjoint operators Tn on ran⁡P+(n).

[F1]

For every n∈N, P+(n) is an orthogonal projection (with P+(0)=idC), so ran⁡P+(n) is a closed linear subspace of the complete space H⊗n; for fixed v∈H⊗m the map u↦u⊗v is linear and bounded (Permutation sector projections on the n-fold tensor power, Hilbert tensor construction: inner product, completion and product bases).

[F2]

Cauchy-Schwarz holds in each sector by Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs. For square-summable scalar sequences, apply that theorem to the finite nonnegative real vectors (∣a0∣,…,∣aN∣) and (∣b0∣,…,∣bN∣) in RN+1 with inner product ⟨a,b⟩:=∑n=0Nanbn, then let N→∞ in the nonnegative partial sums; this gives ∑n∣anbn∣≤(∑n∣an∣2)1/2(∑n∣bn∣2)1/2.

[F3]

A self-adjoint operator is closed and symmetric; a densely defined symmetric operator S satisfies S⊆S∗ (Symmetric, self-adjoint and essentially self-adjoint operators, Adjoint of a densely defined operator, Densely defined, closed and closable operators, and cores).

[F4]

A subset A of a normed space is dense exactly when every vector is the norm limit of a sequence from A (Dense, nowhere dense and codense subsets of a topological space, and the criterion by basic open sets).

Proof

1.1F2algebra

[Absolutely convergent pairing] Let ψ,φ∈F(H). Coordinatewise addition preserves the defining square-summability because ∥ψn+φn∥2≤2∥ψn∥2+2∥φn∥2, and scalar multiplication does as well, so F(H) is a complex vector space. By [F2] with an:=∥ψn∥, bn:=∥φn∥, ∑n∣⟨ψn,φn⟩∣≤∑n∥ψn∥ ∥φn∥≤(∑n∥ψn∥2)1/2(∑n∥φn∥2)1/2=∥ψ∥ ∥φ∥<∞, so the series defining ⟨ψ,φ⟩ converges absolutely (Series and absolute convergence in a normed space); termwise addition and scalar multiplication give sesquilinearity and linearity in the first argument, inherited from the pairings on the H⊗n. If ∥ψ∥2=∑n∥ψn∥2=0 then ψn=0 for every n, so the displayed form is positive definite and is an inner product.

1.2F1algebra

[Completeness] Let (ψ(k))k be a Cauchy sequence in F(H) and let ε>0. For each n, ∥ψn(k)−ψn(l)∥≤∥ψ(k)−ψ(l)∥, so (ψn(k))k is Cauchy in the complete space H⊗n ([F1]) and converges to some ψn∈H⊗n; since ran⁡P+(n) is closed, ψn∈ran⁡P+(n) ([F1]). Choose K with ∥ψ(k)−ψ(m)∥≤ε for k,m≥K. Fix k≥K. For every finite N, ∑n≤N∥ψn∥2≤2∑n≤N∥ψn(k)∥2+2∑n≤N∥ψn−ψn(k)∥2≤2∥ψ(k)∥2+2ε2, where the last term uses the limit as m→∞ in ∑n≤N∥ψn(m)−ψn(k)∥2≤ε2. Taking the supremum over finite N shows ψ=(ψn)n∈F(H). Also, for each k≥K and finite N, ∑n≤N∥ψn(k)−ψn∥2≤ε2 by letting m→∞ in ∑n≤N∥ψn(k)−ψn(m)∥2≤ε2; taking the supremum gives ∥ψ(k)−ψ∥≤ε. Thus ψ(k)→ψ and F(H) is complete, proving (b).

1.3F1F4algebra

[Vacuum, density and embeddings] The vacuum has ∥Ω∥=∣1∣=1. For ψ∈F(H) the truncations ψ(N):=(ψ0,…,ψN,0,0,… )∈F0 satisfy ∥ψ−ψ(N)∥2=∑n>N∥ψn∥2→0, so F0 is dense by [F4]; F0 is a linear subspace because each ran⁡P+(n) is one ([F1]). Each ιn is linear and ∥ιn(u)∥2=∥u∥2, and its range is the set of vectors supported in coordinate n, a closed subspace identified isometrically with ran⁡P+(n).

1.4F2F3algebra

[The direct sum is closed] Let (Tn) be as in (f) and let (ψ(k))k⊆D(T) with ψ(k)→ψ and Tψ(k)→η in F(H). For each n, ψn(k)→ψn and Tnψn(k)=(Tψ(k))n→ηn; since Tn is self-adjoint, hence closed ([F3]), ψn∈D(Tn) and Tnψn=ηn. For every finite N, continuity of the norm and the finite sum give ∑n≤N∥Tnψn∥2=lim⁡k∑n≤N∥Tnψn(k)∥2≤lim⁡k∥Tψ(k)∥2=∥η∥2. Taking the supremum over finite partial sums shows ∑n∥Tnψn∥2≤∥η∥2<∞, so ψ∈D(T) and Tψ=η; thus T is closed. It is symmetric because for ψ,φ∈D(T) the middle series below converges absolutely by [F2] applied to the square-summable families (∥Tnψn∥)n, (∥φn∥)n and (∥Tnφn∥)n: ⟨Tψ,φ⟩=∑n⟨Tnψn,φn⟩=∑n⟨ψn,Tnφn⟩=⟨ψ,Tφ⟩.

1.5F3algebra

[Density of the direct-sum domain] Let ψ∈F(H) and ε>0. Choose N so that ∑n>N∥ψn∥2<ε2/4. For each of the finitely many n≤N, the self-adjoint operator Tn is densely defined, so choose φn∈D(Tn) with ∥φn−ψn∥<ε/(2N+1); put φn=0 for n>N. The vector φ belongs to D(T) because it has finite support and every retained coordinate belongs to its operator domain. Moreover, ∥φ−ψ∥2=∑n≤N∥φn−ψn∥2+∑n>N∥ψn∥2<ε2/2<ε2. Thus D(T) is dense in F(H).

2.1F2F3step 1.4step 1.5algebra

[The adjoint is the same diagonal sum] Let φ∈D(T∗) with C:=∥T∗φ∥, so ∣⟨Tψ,φ⟩∣≤C∥ψ∥ for all ψ∈D(T). Testing with ψ supported in a single coordinate n shows that the functional ψn↦⟨Tnψn,φn⟩ on the dense domain D(Tn) is bounded by C∥ψn∥; hence φn∈D(Tn∗)=D(Tn) and Tnφn=(T∗φ)n. Since T∗φ∈F(H), the coordinate identity gives ∑n∥Tnφn∥2=∥T∗φ∥2<∞. Therefore D(T∗)⊆D(T) and T∗φ=Tφ; with T⊆T∗ from step 1.4, T=T∗ is self-adjoint, and D(T) is dense by step 1.5. If every Tn is bounded by M:=sup⁡n∥Tn∥<∞, then ∥Tψ∥2=∑n∥Tnψn∥2≤M2∥ψ∥2 for every ψ∈F(H) and testing on unit vectors in individual nonzero sectors where ∥Tn∥ approaches M gives the reverse inequality.

3.1F1step 1.3algebra∎

[Separability] Assume (ei)i∈I is a complete orthonormal family of H with I at most countable. For n≥1 the elementary tensors ei1⊗⋯⊗ein, (i1,…,in)∈In, have dense linear span in H⊗n by the product-bases statement of Hilbert tensor construction: inner product, completion and product bases; since P+(n) is bounded, the image P+(n) of a dense set is dense in ran⁡P+(n) (given u=P+(n)u in the range and approximants vj→u, continuity gives P+(n)vj→u). Hence the at most countable set D:={ιn(P+(n)(ei1⊗⋯⊗ein)):n≥1, i1,…,in∈I}∪{Ω} has dense span in F(H): any ψ∈F(H) is the limit of its truncations, and each ψn is approximated in ran⁡P+(n) by finite combinations from D. A normed space with a countable set whose finite linear combinations are dense is separable.

LemmaStatement: AI-adaptedProof: AI-adaptedOpen item page →

Fock sector projections

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let H be a complex Hilbert space (Hilbert space) with completed tensor powers H⊗n and symmetric projections P+(n) as in Hilbert direct-sum construction, so that F(H)={ψ=(ψn)n∈N: ψn∈ran⁡P+(n), ∑n∥ψn∥2<∞} is a Hilbert space. For n∈N define Πn:F(H)→F(H),Πnψ:=(0,…,0,ψn,0,… ) (the entry ψn in coordinate n and 0 in all other coordinates). Then:

(a) each Πn is a bounded linear operator with ∥Πnψ∥=∥ψn∥ and ∥Πn∥≤1; it satisfies Πn2=Πn, Πn∗=Πn (The Hilbert-space adjoint of a bounded operator), and Πn is the Hilbert orthogonal projection of F(H) onto the closed subspace ιn(ran⁡P+(n)) of vectors supported in coordinate n (The Hilbert orthogonal projection onto a closed subspace);

(b) ΠnΠm=0 for n≠m, so the ranges are pairwise orthogonal and ∥Πn∥=1 whenever ran⁡P+(n)≠{0} (which holds for every n when H≠{0});

(c) for every ψ∈F(H) the series ∑nΠnψ converges in norm to ψ, the expansion is orthogonal, ψ=∑n∈NΠnψ,∥ψ∥2=∑n∈N∥Πnψ∥2, and the partial sums ∑n≤NΠn converge to the identity in the strong operator topology, i.e. ∥ψ−∑n≤NΠnψ∥→0 for every ψ∈F(H) (Dense, nowhere dense and codense subsets of a topological space, and the criterion by basic open sets, A bounded linear operator between normed spaces);

(d) Πn=0 as an operator if and only if ran⁡P+(n)={0}; for H≠{0} no Πn vanishes.

No physical interpretation of the Fock space or of its sectors is asserted.

Facts & Assumptions

Given: the complex Hilbert space H with completed tensor powers H⊗n and symmetric projections P+(n) (n≥1, P+(0)=idC), the Hilbert space F(H) with inner product ⟨ψ,φ⟩=∑n⟨ψn,φn⟩, the vacuum Ω=(1,0,0,… ), and vectors ψ,φ∈F(H).

[F1]

F(H) is a Hilbert space; for ψ∈F(H) one has ψn∈ran⁡P+(n), ∑n∥ψn∥2=∥ψ∥2<∞, and coordinatewise operations; the truncations ψ(N)=(ψ0,…,ψN,0,0,… ) satisfy ψ(N)→ψ (Hilbert direct-sum construction).

[F2]

For each n≥1, P+(n) is an orthogonal projection on the Hilbert space H⊗n, hence ran⁡P+(n) is a closed linear subspace (Permutation sector projections on the n-fold tensor power, Hilbert direct-sum construction).

[F3]

The Hilbert orthogonal projection onto a closed subspace M is characterized by Px∈M and x−Px∈M⊥ for every x; it is self-adjoint, idempotent and contractive (The Hilbert orthogonal projection onto a closed subspace, Hilbert projections are linear, self-adjoint and contractive, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[F4]

For ψ∈F(H) its truncation ψ(N) has squared norm ∑n≤N∥ψn∥2 and converges in norm to ψ (Hilbert direct-sum construction).

Proof

1.1F1algebra

[Algebraic properties] For ψ∈F(H) the tuple Πnψ lies in F(H) because its coordinate n is ψn∈ran⁡P+(n) and all other coordinates vanish ([F1]); clearly Πn(ψ+cχ)=Πnψ+c Πnχ, so Πn is linear, and ∥Πnψ∥2=∥ψn∥2≤∥ψ∥2 gives ∥Πn∥≤1. Obviously Πn2=Πn. For the adjoint: ⟨Πnψ,φ⟩=⟨ψn,φn⟩=⟨ψ,Πnφ⟩ for all ψ,φ∈F(H), so Πn∗=Πn by uniqueness of the Hilbert-space adjoint.

1.2F2F3algebra

[Orthogonality and ranges] For n≠m, ΠnΠm=0 because the tuple Πmψ is supported in coordinate m and Πn reads coordinate n. The range of Πn is exactly the set of vectors of F(H) supported in coordinate n, a closed subspace that is identified with ran⁡P+(n) by the isometry ιn ; it is closed in F(H) because if Πnψ(k)→η, then ηm=0 for m≠n and ηn∈ran⁡P+(n) by closedness ([F2]). For every ψ, the difference ψ−Πnψ has zero coordinate n and is orthogonal to every vector supported there by the direct-sum inner product; hence [F3] identifies Πn with the orthogonal projection onto its range. This range identification also proves Πn=0 exactly when the sector is zero; when ran⁡P+(n)≠{0} choose a unit u there and note ∥Πnιn(u)∥=1, so ∥Πn∥=1. For H≠{0} and n≥1 one has 0≠e⊗n∈ran⁡P+(n) for any e≠0 in H, and ran⁡P+(0)=C, so no Πn vanishes. If H={0}, every positive tensor power is zero, F(H) consists only of its scalar vacuum coordinate, Π0=I, and Πn=0 for n≥1; the same coordinate arguments apply. Thus (b), (d) hold.

2.1F1F4step 1.2algebra

[Orthogonal expansion] For ψ∈F(H) put ψ(N):=∑n≤NΠnψ and r(N):=ψ−ψ(N), whose coordinates are ψn for n>N and 0 otherwise. Then ∥r(N)∥2=∑n>N∥ψn∥2→0 by [F1], so ∑nΠnψ converges to ψ in norm. The terms Πnψ=ιn(ψn) are pairwise orthogonal by step 1.2, and [F4] gives ∥ψ(N)∥2=∑n≤N∥ψn∥2; passing to the limit and using continuity of the norm and of the inner product gives ∥ψ∥2=∑n∥Πnψ∥2.

3.1step 1.1step 1.2step 2.1algebra∎

[Strong convergence and conclusion] Since ∥ψ−∑n≤NΠnψ∥2=∑n>N∥ψn∥2→0 for every ψ∈F(H) by step 2.1, the partial sums of (Πn) converge to the identity in the strong operator topology; combined with steps 1.1, 1.2 and 2.1 this proves (a)-(d).

LemmaStatement: AI-adaptedProof: AI-adaptedOpen item page →

Creation contraction bounds

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let H be a complex Hilbert space with inner product linear in the first argument (Hilbert space, Real and complex inner-product spaces and their induced length), with completed tensor powers H⊗n, symmetric projections P+(n), Fock space F(H) and finite-particle space F0 as in Hilbert direct-sum construction and Fock sector projections.

(a) Contraction map. For every f∈H and n≥0 there is a unique bounded linear map Ψf(n):H⊗(n+1)→H⊗n with ⟨φ,Ψf(n)χ⟩=⟨f⊗φ,χ⟩(φ∈H⊗n, χ∈H⊗(n+1)) (Riesz representation for Hilbert spaces); it satisfies ∥Ψf(n)∥≤∥f∥, Ψf(n)(u1⊗⋯⊗un+1)=⟨u1,f⟩ u2⊗⋯⊗un+1 on elementary tensors, Ψf(n)(ran⁡P+(n+1))⊆ran⁡P+(n), and the map f↦Ψf(n) is conjugate-linear.

(b) Creation and annihilation on the core. Define, for f∈H and ψ∈F0, (S+(f)ψ)n:=n P+(n)(f⊗ψn−1) (n≥1),(S+(f)ψ)0:=0, (S−(f)ψ)n:=n+1 Ψf(n)(ψn+1) (n≥0). Then S+(f)ψ,S−(f)ψ∈F0; S+(f) is linear in f and S−(f) is conjugate-linear in f; and with ∥ψ∥12:=∑n(n+1)∥ψn∥2<∞ for ψ∈F0, ∥S+(f)ψ∥≤∥f∥ ∥ψ∥1,∥S−(f)ψ∥≤∥f∥ ∥ψ∥1.

(c) Adjoint relation. ⟨S+(f)φ,ψ⟩=⟨φ,S−(f)ψ⟩ for all f∈H and φ,ψ∈F0 (The operator norm as the least bound and as the unit-sphere or unit-ball supremum, A bounded linear operator between normed spaces).

(d) Canonical commutation relation. For all f,g∈H and ψ∈F0, S−(f)S+(g)ψ−S+(g)S−(f)ψ=⟨g,f⟩ ψ, and consequently ∥S+(g)ψ∥2=∥S−(g)ψ∥2+∥g∥2∥ψ∥2.

Neither S+(f) nor S−(f) is asserted to be bounded on F(H), and no physical interpretation (particle creation, radiation or measurement) is asserted.

Facts & Assumptions

Given: the complex Hilbert space H with inner product linear in the first argument, completed tensor powers H⊗n with symmetric projections P+(n) (n≥1), the Fock space F(H) and its dense finite-particle subspace F0, vectors f,g,u,u1,…,un+1∈H, indices n≥0, and φ,ψ∈F0.

[F1]

F(H) is a Hilbert space with ⟨ψ,φ⟩=∑n⟨ψn,φn⟩; ψ∈F0 has finitely many nonzero coordinates; F0 is dense (Hilbert direct-sum construction).

[F2]

Πn is the orthogonal projection onto the vectors supported in coordinate n; ∥Πn∥≤1, with equality when its sector is nonzero; the sectors are orthogonal (Fock sector projections).

[F3]

For n≥1: P+(n) is an orthogonal projection; every vector of ran⁡P+(n) is fixed by each permutation unitary Uπ (π∈Sn), and conversely; for fixed v the map u↦u⊗v is linear and bounded with ∥u⊗v∥=∥u∥ ∥v∥ (Permutation sector projections on the n-fold tensor power, Hilbert tensor construction: inner product, completion and product bases).

[F4]

Cauchy-Schwarz in each Hilbert tensor power follows from Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs. For square-summable scalar sequences, apply that theorem to finite nonnegative real vectors (∣a0∣,…,∣aN∣) and (∣b0∣,…,∣bN∣) in RN+1 with inner product ⟨a,b⟩:=∑n=0Nanbn, then take the limit of the nonnegative partial sums; this gives ∑n∣anbn∣≤(∑n∣an∣2)1/2(∑n∣bn∣2)1/2.

[F5]

Riesz representation: every bounded linear functional on a Hilbert space is evaluation against a unique vector (Riesz representation for Hilbert spaces, A bounded linear operator between normed spaces).

Proof

1.1F3F4F5algebra

[The contraction map] Fix f∈H, n≥0 and χ∈H⊗(n+1). The map φ↦⟨f⊗φ,χ⟩ is linear, and by [F4] and [F3] ∣⟨f⊗φ,χ⟩∣≤∥f⊗φ∥ ∥χ∥=∥f∥ ∥φ∥ ∥χ∥, so it is bounded with norm at most ∥f∥ ∥χ∥; by [F5] there is a unique Ψf(n)χ∈H⊗n representing it. The assignment χ↦Ψf(n)χ is linear (the representing vectors of χ↦⟨f⊗φ,χ⟩ depend linearly on χ), and ∥Ψf(n)χ∥=sup⁡∥φ∥≤1∣⟨f⊗φ,χ⟩∣≤∥f∥ ∥χ∥ gives ∥Ψf(n)∥≤∥f∥. For an elementary tensor, the tensor-product inner product and the first-linear convention give [F3, F4, F5, algebra] ⟨f⊗φ,u1⊗⋯⊗un+1⟩=⟨f,u1⟩⟨φ,u2⊗⋯⊗un+1⟩=⟨φ,⟨u1,f⟩u2⊗⋯⊗un+1⟩. This equality for every φ and uniqueness of the representing vector imply Ψf(n)(u1⊗⋯⊗un+1)=⟨u1,f⟩u2⊗⋯⊗un+1. Finally Ψcf(n)=c‾ Ψf(n) for c∈C since ⟨u1,cf⟩=cˉ ⟨u1,f⟩ on elementary tensors, so f↦Ψf(n) is conjugate-linear.

2.1F3step 1.1algebra

[Symmetry preservation] Let χ∈ran⁡P+(n+1) and let σ∈Sn act on the last n tensor factors by U1⊗σ; by [F3] applied to the permutation (1,σ)∈Sn+1 one has U1⊗σχ=χ. Then for every φ∈H⊗n, ⟨φ,Ψf(n)χ⟩=⟨f⊗φ,χ⟩=⟨U1⊗σ−1(f⊗φ),χ⟩=⟨f⊗Uσ−1φ,χ⟩=⟨Uσ−1φ,Ψf(n)χ⟩=⟨φ,UσΨf(n)χ⟩, the third equality because U1⊗σ−1=U1⊗σ−1 permutes only the last factors and fixes f. Hence UσΨf(n)χ=Ψf(n)χ for every σ∈Sn, so Ψf(n)χ∈ran⁡P+(n) by the converse direction of [F3].

2.2F3step 1.1algebra

[Contraction bounds] For ψ∈F0, using ∥P+(n)∥≤1 ([F3]) and the tensor norm identity of [F3], ∥S+(f)ψ∥2=∑n≥1n∥P+(n)(f⊗ψn−1)∥2≤∑n≥1n∥f⊗ψn−1∥2=∥f∥2∑n≥0(n+1)∥ψn∥2=∥f∥2∥ψ∥12. Similarly ∥S−(f)ψ∥2=∑n≥0(n+1)∥Ψf(n)ψn+1∥2≤∥f∥2∑n≥0(n+1)∥ψn+1∥2≤∥f∥2∥ψ∥12, where step 1.1 supplied ∥Ψf(n)∥≤∥f∥.

3.1F1F2step 1.1step 2.1algebra

[The operators on the core] For ψ∈F0 only finitely many coordinates are nonzero, each in the appropriate range ([F1]); by [F2] and step 2.1 all displayed expressions (S±(f)ψ)n lie in ran⁡P+(n) and are nonzero only for finitely many n, so S±(f)ψ∈F0. Linearity of S+(f) in ψ and of S+(⋅)ψ in f, and conjugate-linearity of S−(f) in f from step 1.1, are immediate from the formulas.

3.2F3step 1.1step 2.1algebra

[Per-sector commutator computation] For n≥0 define Ag(n)χ:=P+(n+1)(g⊗χ) from ran⁡P+(n) to ran⁡P+(n+1), and for n≥1 define Bf(n)χ:=Ψf(n−1)χ from ran⁡P+(n) to ran⁡P+(n−1). Let χ=P+(n)(v1⊗⋯⊗vn). Since P+(n+1)(g⊗χ)=P+(n+1)(g⊗v1⊗⋯⊗vn), averaging over the (n+1)! permutations and grouping by the first tensor factor gives [F3, step 1.1, step 2.1, algebra] Bf(n+1)Ag(n)χ=1n+1(⟨g,f⟩χ+∑j=1n⟨vj,f⟩P+(n)(g⊗v1⊗⋯⊗vj^⊗⋯⊗vn)). The same grouping over the n! permutations of χ gives Bf(n)χ=1n∑j=1n⟨vj,f⟩P+(n−1)(v1⊗⋯⊗vj^⊗⋯⊗vn), so applying Ag(n−1) and multiplying by n yields exactly the sum over j in the preceding display. Therefore (n+1)Bf(n+1)Ag(n)χ−nAg(n−1)Bf(n)χ=⟨g,f⟩χ. The maps in this identity are bounded by step 1.1 and contractivity of P+(m) ([F3]); the displayed χ have dense span in ran⁡P+(n) ([F3]), so the identity extends to every vector in that sector. For the vacuum scalar c∈C, Ψf(0)P+(1)(g⊗c)=⟨g,f⟩c and the annihilation-then-creation term vanishes, so the commutator identity also holds at n=0.

4.1F1step 1.1step 3.1algebra

[Adjoint relation] Let φ,ψ∈F0. Using the definition of S+ and the self-adjointness of P+(n+1), and the fact that ψn+1∈ran⁡P+(n+1), ⟨S+(f)φ,ψ⟩=∑n≥0n+1⟨P+(n+1)(f⊗φn),ψn+1⟩=∑n≥0n+1⟨f⊗φn,ψn+1⟩. By the defining property of Ψf(n) in step 1.1 this equals ∑n≥0n+1⟨φn,Ψf(n)ψn+1⟩=⟨φ,S−(f)ψ⟩, both sums being finite.

4.2step 3.1step 3.2algebra

[Canonical commutation relation] Let f,g∈H and ψ∈F0. For n≥1, the definitions of S± and step 3.2 give (S−(f)S+(g)ψ)n=(n+1)Bf(n+1)Ag(n)ψn and (S+(g)S−(f)ψ)n=nAg(n−1)Bf(n)ψn. For n=0, the first composition is Ψf(0)P+(1)(g⊗ψ0)=⟨g,f⟩ψ0 and the second is zero. Thus each coordinate of the difference is ⟨g,f⟩ψn; all coordinates outside a finite set vanish, so the two sides agree.

5.1step 4.1step 4.2algebra∎

[The norm identity] Let g∈H and ψ∈F0. Taking the inner product of the commutation relation of step 4.2 (with f=g) with ψ gives ⟨S−(g)S+(g)ψ,ψ⟩−⟨S+(g)S−(g)ψ,ψ⟩=∥g∥2∥ψ∥2. By the adjoint relation of step 4.1, ⟨S−(g)S+(g)ψ,ψ⟩=⟨S+(g)ψ,S+(g)ψ⟩=∥S+(g)ψ∥2 and ⟨S+(g)S−(g)ψ,ψ⟩=⟨S−(g)ψ,S−(g)ψ⟩=∥S−(g)ψ∥2; hence ∥S+(g)ψ∥2=∥S−(g)ψ∥2+∥g∥2∥ψ∥2. This completes the proof of (a)-(d).

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Closed adjoint sector domains

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let H be a complex Hilbert space (Hilbert space) with completed tensor powers H⊗n, symmetric projections P+(n), contraction maps Ψf(n), Fock space F(H) and core operators S±(f) on the finite-particle space F0 as in Creation contraction bounds. For f∈H define D(A+(f)):={ψ∈F(H): ∑n∈N(n+1)∥P+(n+1)(f⊗ψn)∥2<∞},(A+(f)ψ)n:=n P+(n)(f⊗ψn−1) (n≥1), (A+(f)ψ)0:=0, D(A−(f)):={ψ∈F(H): ∑n∈N(n+1)∥Ψf(n)(ψn+1)∥2<∞},(A−(f)ψ)n:=n+1 Ψf(n)(ψn+1). Put D1:={ψ∈F(H):∑n(n+1)∥ψn∥2<∞}. Then:

(a) A+(f) and A−(f) are well-defined linear operators on F(H) with the displayed domains, and they are the closure and the adjoint of the core operator: A+(f)=S+(f)‾=S−(f)∗,A−(f)=S+(f)∗=S−(f)‾ (Adjoint of a densely defined operator, Densely defined, closed and closable operators, and cores, Symmetric, self-adjoint and essentially self-adjoint operators);

(b) both A±(f) are closed, densely defined and satisfy A+(f)∗=A−(f), A−(f)∗=A+(f); in particular F0⊆D1⊆D(A±(f));

(c) for every ψ∈D1, ∥A+(f)ψ∥≤∥f∥ ∥ψ∥1 and ∥A−(f)ψ∥≤∥f∥ ∥ψ∥1, where ∥ψ∥12=∑n(n+1)∥ψn∥2;

(d) for every g∈H and ψ∈D1 the identity ∥A+(g)ψ∥2=∥A−(g)ψ∥2+∥g∥2∥ψ∥2 holds.

No boundedness of A±(f) on F(H), no self-adjointness of A±(f), and no physical interpretation is asserted.

Facts & Assumptions

Given: the complex Hilbert space H, the Fock space F(H) with dense finite-particle subspace F0, the core operators S±(f):F0→F0 and contraction maps Ψf(n), vectors f,g∈H, and vectors φ,ψ∈F(H).

[F1]

F(H) is a Hilbert space, F0 is dense, and ∥ψ∥2=∑n∥ψn∥2 (Hilbert direct-sum construction).

[F2]

S+(f) and S−(f) are densely defined linear (resp. conjugate-linear in f) operators on F0 with the sector formulas (S+(f)ψ)n=nP+(n)(f⊗ψn−1), (S−(f)ψ)n=n+1Ψf(n)(ψn+1), and ⟨S+(f)φ,ψ⟩=⟨φ,S−(f)ψ⟩ for φ,ψ∈F0; Ψf(n)(ran⁡P+(n+1))⊆ran⁡P+(n) (Creation contraction bounds).

[F3]

If T is a densely defined operator with S⊆T for a densely defined S, then T∗⊆S∗; if T is closed and S‾=T then T=S∗∗; adjoints are closed operators (Adjoint of a densely defined operator, Densely defined, closed and closable operators, and cores, Symmetric, self-adjoint and essentially self-adjoint operators).

[F4]

Cauchy-Schwarz in the Hilbert space F(H): ∣⟨η,θ⟩∣≤∥η∥ ∥θ∥ (Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs).

Proof

1.1F1F2F3algebra

[The raising operator and its closure] For every n the map ψ↦P+(n+1)(f⊗ψn) is bounded with norm at most ∥f∥ by [F2], so D(A+(f)) is a linear subspace containing F0 and A+(f) is a linear operator extending S+(f) with (A+(f)ψ)n∈ran⁡P+(n) for all ψ∈D(A+(f)) and ∑n∥(A+(f)ψ)n∥2<∞, so A+(f)ψ∈F(H). If ψ(k)∈D(A+(f)) with ψ(k)→ψ and A+(f)ψ(k)→η, then for each m≥1 continuity of ψ↦P+(m)(f⊗ψm−1) gives ηm=mP+(m)(f⊗ψm−1), and η0=0. For every finite N, continuity of the norm and the finite sum gives ∑n=0N(n+1)∥P+(n+1)(f⊗ψn)∥2=lim⁡k∑n=0N(n+1)∥P+(n+1)(f⊗ψn(k))∥2≤lim⁡k∥A+(f)ψ(k)∥2=∥η∥2. Taking the supremum over N shows ψ∈D(A+(f)); the coordinate formulas then give A+(f)ψ=η, so A+(f) is closed. For ψ∈D(A+(f)) the truncations ψ(N) lie in F0, satisfy ψ(N)→ψ, and A+(f)ψ(N)→A+(f)ψ because the defining series of ψ converges; hence F0 is a core and A+(f)=S+(f)‾.

1.2F1F2F3F4algebra

[The lowering operator is the core adjoint] For ψ∈F(H) set ηn:=n+1 Ψf(n)ψn+1. For φ∈F0, [F2] gives ⟨S+(f)φ,ψ⟩=∑n≥0⟨φn,ηn⟩, a finite sum because φ has finite support. If ∑n∥ηn∥2<∞, Cauchy--Schwarz shows this functional is bounded on F0 and its representing vector is (ηn)n=A−(f)ψ. Conversely, if the functional is bounded with norm C, let φ(N) have coordinates ηn for n≤N and zero thereafter. Then φ(N)∈F0 and SN:=∑n≤N∥ηn∥2=∣⟨S+(f)φ(N),ψ⟩∣≤C∥φ(N)∥=CSN, so SN≤C2 for every N. Hence (ηn)n∈F(H) and the functional is represented by A−(f)ψ. Thus ψ∈D(S+(f)∗) exactly when ∑n(n+1)∥Ψf(n)ψn+1∥2<∞, and S+(f)∗=A−(f). As an adjoint A−(f) is closed, and it is densely defined because it contains F0.

1.3F1F2algebra

[Weighted domain and bounds] For ψ∈D1, ∑n(n+1)∥P+(n+1)(f⊗ψn)∥2≤∥f∥2∑n(n+1)∥ψn∥2<∞ and likewise ∑n(n+1)∥Ψf(n)(ψn+1)∥2≤∥f∥2∑n(n+1)∥ψn+1∥2<∞, so D1⊆D(A±(f)) and the bounds of (c) follow from the same estimates; since F0⊆D1, this also gives the density in (b).

2.1F2F3step 1.1step 1.2algebra

[Mutual adjoints] Since A+(f)=S+(f)‾=S+(f)∗∗ by step 1.1, [F3] gives A+(f)∗=S+(f)∗∗∗=S+(f)∗=A−(f) by step 1.2. Applying the same step 1.2 with the roles of S+ and S− exchanged (the adjoint relation of [F2] is symmetric in the two core operators) gives S−(f)∗=A+(f), hence A−(f)∗=S+(f)∗∗=A+(f). Consequently both operators are closed with the stated adjoint pairs, proving (a) and (b) apart from the domain inclusion.

3.1F1F2step 1.1step 1.3algebra∎

[The weighted norm identity] Let ψ∈D1 and let ψ(N) be its truncations; then ψ(N)→ψ and, by the sector formulas and the convergence of the defining sums of ψ, A±(g)ψ(N)→A±(g)ψ. The identity of Creation contraction bounds (d) applies to ψ(N)∈F0; passing to the limit in ∥A+(g)ψ(N)∥2=∥A−(g)ψ(N)∥2+∥g∥2∥ψ(N)∥2 using continuity of the norm and of addition in F(H) gives the displayed identity for ψ. This proves (d) and completes the proof.

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Number operator domain

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let H be a complex Hilbert space with completed tensor powers H⊗n, symmetric projections P+(n) and Fock space F(H) as in Hilbert direct-sum construction. Define the number operator by D(N):={ψ∈F(H): ∑n∈Nn2∥ψn∥2<∞},(Nψ)n:=nψn. Then:

(a) N is a densely defined self-adjoint operator on F(H) with the displayed domain; N≥0 in the sense that ⟨Nψ,ψ⟩≥0 for ψ∈D(N), NΩ=0, and F0 is a core for N (Symmetric, self-adjoint and essentially self-adjoint operators);

(b) for every n, every nonzero u∈ran⁡P+(n) satisfies Nιn(u)=n ιn(u), and for H≠{0} the spectrum of N is σ(N)=N;

(c) for f∈H and ψ∈F0 the core operators of Creation contraction bounds satisfy NS+(f)ψ−S+(f)Nψ=S+(f)ψ,NS−(f)ψ−S−(f)Nψ=−S−(f)ψ;

(d) D(N)⊆D1:={ψ:∑n(n+1)∥ψn∥2<∞}, and for every ψ∈D(N), ∥Nψ∥2=∑n∈Nn2∥ψn∥2,⟨Nψ,ψ⟩=∑n∈Nn∥ψn∥2.

No physical interpretation of N, and no assertion about particle number measurement, is made.

Facts & Assumptions

Given: the complex Hilbert space H, the Fock space F(H) with sectors ran⁡P+(n) and coordinate embeddings ιn, the dense finite-particle subspace F0, the vacuum Ω, the number operator N with domain D(N), vectors f∈H and ψ∈F(H), and n∈N.

[F1]

F(H) is a Hilbert space with inner product ⟨ψ,φ⟩=∑n⟨ψn,φn⟩, F0 is dense, and each ran⁡P+(n) is a closed subspace of the Hilbert space H⊗n (Hilbert direct-sum construction, Permutation sector projections on the n-fold tensor power).

[F2]

For a densely defined operator A, a vector y belongs to D(A∗) exactly when there is z with ⟨Ax,y⟩=⟨x,z⟩ for every x∈D(A); then A∗y=z. A densely defined symmetric operator satisfies A⊆A∗ (Adjoint of a densely defined operator, Symmetric, self-adjoint and essentially self-adjoint operators). Cauchy-Schwarz holds in each sector by Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs; for square-summable coordinate norms apply that theorem to finite nonnegative real vectors (a0,…,aN) and (b0,…,bN) in RN+1 with inner product ⟨a,b⟩:=∑n=0Nanbn, then take increasing partial sums. These definitions require only the declared Countable Choice; self-adjointness of N will be proved directly rather than invoking the stronger choice hypotheses of the general direct-sum theorem.

[F3]

The core operators satisfy (S+(f)ψ)n=nP+(n)(f⊗ψn−1), (S−(f)ψ)n=n+1Ψf(n)(ψn+1) on F0 (Creation contraction bounds).

Proof

1.1F1F2algebra

[Coordinate adjoint, vacuum and positivity] The coordinate Hilbert-space construction used in [F1] is valid under the present hypotheses: the sector spaces are complete closed tensor subspaces, the pairing converges by Cauchy-Schwarz, and a Cauchy sequence has coordinate limits. For each finite coordinate sum, the Cauchy norm bound passes to the limit; taking the supremum over those finite sums proves that the limit is square summable and that convergence holds in the full sum. Finite-coordinate truncations give density of F0. Thus these Hilbert and density facts do not require invoking the Axiom of Choice premise of the general operator-sum theorem. [F1, F2, algebra] Every vector of F0 lies in D(N), so N is densely defined. For ψ,φ∈D(N), the sequence form of Cauchy-Schwarz in [F2] makes the coordinate pairing series absolutely convergent and gives ⟨Nψ,φ⟩=∑nn⟨ψn,φn⟩=⟨ψ,Nφ⟩; hence N⊆N∗. If φ∈D(N∗) and η=N∗φ, test the adjoint identity with every vector ιn(u) in a single sector. It gives ⟨nu,φn⟩=⟨u,ηn⟩ for all u, so ηn=nφn for every n, including η0=0. Consequently ∑nn2∥φn∥2=∥η∥2<∞, proving φ∈D(N) and N∗φ=Nφ. Thus N=N∗ on exactly the displayed domain. For ψ∈D(N), ⟨Nψ,ψ⟩=∑nn∥ψn∥2≥0, and the vacuum satisfies NΩ=0. The finite-coordinate truncations ψ(M) lie in F0 and satisfy ψ(M)→ψ and Nψ(M)→Nψ by convergence of ∑nn2∥ψn∥2, so F0 is a graph core. This retains all conclusions of (a) under its original Countable Choice hypothesis.

1.2F3algebra

[Commutation on the core] Let f∈H and ψ∈F0; all vectors below lie in F0 by [F3]. Using the sector formulas of [F3], for n≥1 the n-th coordinate of S+(f)Nψ is nP+(n)(f⊗(n−1)ψn−1)=(n−1)(S+(f)ψ)n, while the n-th coordinate of NS+(f)ψ is n(S+(f)ψ)n; both coordinates vanish for n=0. Hence NS+(f)ψ−S+(f)Nψ=S+(f)ψ. Similarly, the n-th coordinate of S−(f)Nψ is n+1Ψf(n)((n+1)ψn+1)=(n+1)(S−(f)ψ)n, and that of NS−(f)ψ is n(S−(f)ψ)n; their difference is −(S−(f)ψ)n for every n, proving the second identity.

2.1F1F2step 1.1algebra

[Eigenvalues and spectrum] Let n∈N and u∈ran⁡P+(n), u≠0. The vector ιn(u) lies in D(N) with (Nιn(u))m=m(ιn(u))m, which is nιn(u); thus every n∈N is an eigenvalue when H≠{0}, since then each sector contains e⊗n≠0 (and the vacuum sector is C). Now fix λ∈C∖N and put cn:=(n−λ)−1. If n>2∣λ∣, then ∣n−λ∣≥n−∣λ∣>n/2, so ∣cn∣<2/n≤2 and n∣cn∣<2; among the finitely many remaining indices each denominator is nonzero because λ∉N. Hence sup⁡n∣cn∣<∞ and sup⁡nn∣cn∣<∞. Define Rλψ:=(cnψn)n. Then ∥Rλψ∥2=∑n∣cn∣2∥ψn∥2≤(sup⁡n∣cn∣)2∥ψ∥2 and ∑nn2∥cnψn∥2≤(sup⁡nn∣cn∣)2∥ψ∥2, so Rλ is bounded from F(H) to D(N) with its graph norm. Coordinatewise, (N−λI)Rλ=I on F(H) and Rλ(N−λI)=I on D(N); hence Rλ is a bounded inverse of N−λI. Therefore σ(N)⊆N, and the exhibited eigenvalues give σ(N)=N for H≠{0}.

3.1F1step 1.1algebra∎

[Domain inclusion and moments] If ψ∈D(N) then ∑n(n+1)∥ψn∥2=∑nn∥ψn∥2+∑n∥ψn∥2≤∑nn2∥ψn∥2+∥ψ∥2<∞ (using n≤n2), so D(N)⊆D1. The coordinate formula (Nψ)n=nψn and orthogonality of the sectors give ∥Nψ∥2=∑n∥nψn∥2=∑nn2∥ψn∥2 and ⟨Nψ,ψ⟩=∑nn∥ψn∥2, both series converging absolutely; this proves (d) and completes the proof of (a)-(d).

TheoremStatement: AI-adaptedProof: AI-adaptedOpen item page →

Fixed-mode number law

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let H:=C with its standard inner product (linear in the first argument), let F(C) be its Fock space as in Hilbert direct-sum construction, let en∈F(C) be the unit vector supported in coordinate n (so (en)n∈N is a complete orthonormal family of F(C)), let N be the number operator and let A±(1) be the maximal creation and annihilation operators of Closed adjoint sector domains for the vector 1∈C. Then:

(a) oscillator coefficients: for every n∈N, A+(1)en=n+1 en+1,A−(1)en=n en−1 (n≥1),A−(1)e0=0;

(b) coherent vectors: for every z∈C the series ψz:=e−∣z∣2/2∑n∈Nznn! en converges absolutely in F(C) (The complex exponential by its power series, The complex exponential series converges absolutely for every complex argument), ∥ψz∥=1, ψz∈D(A−(1)) with A−(1)ψz=z ψz, and for all z,w∈C, ⟨ψz,ψw⟩=e−(∣z∣2+∣w∣2)/2+zw‾;

(c) number law: for every n∈N, ∣⟨en,ψz⟩∣2=e−∣z∣2∣z∣2nn!, and ∑n∈N∣⟨en,ψz⟩∣2=1.

The numbers in (c) are squared moduli of overlaps of unit vectors; identifying them with outcome probabilities of a number measurement requires a separately adopted measurement postulate, and no such physical claim is made here.

Facts & Assumptions

Given: the one-dimensional Hilbert space C with its standard inner product, the Fock space F(C) with complete orthonormal family (en)n∈N, the maximal operators A±(1) and the number operator N on F(C), and z,w∈C, n∈N.

[F1]

F(C) is a Hilbert space with ⟨em,en⟩=δmn and ∥ψ∥2=∑n∣⟨en,ψ⟩∣2, and it is complete so that every absolutely convergent series converges (Hilbert direct-sum construction).

[F2]

For H=C one has C⊗m=C, P+(m)=id and ran⁡P+(m)=C for every m (Hilbert tensor construction: inner product, completion and product bases, Permutation sector projections on the n-fold tensor power).

[F3]

A±(1) are closed operators. For a finite-sector vector ψ, their coordinate formulas are (A+(1)ψ)0=0, (A+(1)ψ)n=n ψn−1 for n≥1, and (A−(1)ψ)n=n+1 ψn+1 for n≥0, under the identifications of [F2] (Closed adjoint sector domains).

[F5]

The complex exponential satisfies exp⁡(z+w)=exp⁡(z)exp⁡(w) for all complex z,w (exp⁡(z+w)=exp⁡z exp⁡w, and the complex exponential extends the real exponential).

[F4]

For every z∈C the series ∑nzn/n! converges absolutely, so its value exp⁡z is defined and the partial sums of ∑n∣z∣2n/n! converge to exp⁡(∣z∣2) (The complex exponential by its power series, The complex exponential series converges absolutely for every complex argument).

Proof

1.1F2F3algebra

[Oscillator coefficients] For em supported in coordinate m, the raising formula of [F3] has its only nonzero coordinate at m+1, with value m+1, so A+(1)em=m+1em+1. For m≥1 the lowering formula has its only nonzero coordinate at m−1, with value m, so A−(1)em=m em−1; for m=0 every lowering coordinate is zero. This proves (a).

1.2F1F4F5algebra

[Convergence and normalization] Let z∈C and SN:=e−∣z∣2/2∑n≤Nzn/n! en. Orthogonality of the en gives ∥SN−SM∥2=e−∣z∣2∑M<n≤N∣z∣2n/n!, and ∑n∣z∣2n/n!=exp⁡(∣z∣2) by [F4], so (SN) is Cauchy and converges in the complete space F(C) to a vector ψz; moreover ∥ψz∥2=lim⁡N∥SN∥2=e−∣z∣2exp⁡(∣z∣2)=1, so ∥ψz∥=1. For z=0 only the zeroth term survives, so convergence is absolute. For z≠0, convergence is absolute because the ratio of consecutive moduli of ∑n∣z∣n/n! is ∣z∣/n+1→0, so that series converges by the ratio test (Ratio test: lim sup⁡∣ak+1/ak∣<1 gives absolute convergence and hence convergence, and lim inf⁡∣ak+1/ak∣>1 gives divergence); and ∑n∣z∣2n/n!=exp⁡(∣z∣2) is the exponential series of the real number ∣z∣2≥0 ([F4]).

2.1F3step 1.1step 1.2algebra

[Annihilation eigenvalue] Every finite combination SN∈F0 lies in the domain of the closed operator A−(1), and A−(1)SN=e−∣z∣2/2∑1≤n≤Nzn/n!n en−1=z e−∣z∣2/2∑0≤m≤N−1zm/m! em→zψz by step 1.2. Since SN→ψz and A−(1) is closed, ψz∈D(A−(1)) and A−(1)ψz=zψz.

2.2F1F4F5step 1.2algebra

[Overlaps and the number law] For z,w∈C, the series ψz and ψw have absolutely convergent coordinate expansions, so the inner product may be computed termwise: ⟨ψz,ψw⟩=e−(∣z∣2+∣w∣2)/2∑nznwn‾/n!=e−(∣z∣2+∣w∣2)/2+zw‾, the last equality by the exponential series [F4] and its addition law [F5]. In particular ∥ψz∥2=⟨ψz,ψz⟩=e−∣z∣2+∣z∣2=1. Since ∣⟨en,ψz⟩∣2=∣e−∣z∣2/2z‾n/n!∣2=e−∣z∣2∣z∣2n/n! and ∑n∣z∣2n/n!=exp⁡(∣z∣2), the weights in (c) sum to 1.

3.1step 1.1step 1.2step 2.1step 2.2algebra∎

[Conclusion and scope] Steps 1.1-2.2 prove (a), (b) and (c); the square roots n! and n are the positive real roots. The final statement records that no measurement postulate, and hence no probability interpretation of the displayed weights, is asserted; the Fock vectors and the eigenvalue relation are purely mathematical.

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Single-mode thermal trace

Statement

Assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (ACω), The Axiom of Choice). Let ω>0 and β>0 be real parameters, let F(C) be the one-mode Fock space with its complete orthonormal family (en)n∈N and number operator N as in Fixed-mode number law and Number operator domain, and define the operator Gβ∈B(F(C)) by Gβen:=e−βωnen(n∈N) together with bounded linear extension. Then:

(a) Gβ is a bounded self-adjoint positive operator with ∥Gβ∥=1, and Gβ=⨁n∈Ne−βωn id on the Fock sectors (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum);

(b) the series of weights converge, Z(β):=∑n∈Ne−βωn=11−e−βω,∑n∈Nn e−βωn=e−βω(1−e−βω)2;

(c) Gβ is trace class with ∥Gβ∥1=tr⁡Gβ=Z(β) (Trace class operator, Trace of a trace class operator);

(d) ρβ:=Gβ/Z(β) is a density operator on F(C) (Density operators and scalar spectral probability), and its number expectation, defined by the absolutely convergent spectral sum ⟨N⟩β:=∑nn e−βωn/Z(β), equals ⟨N⟩β=e−βω1−e−βω=1eβω−1; more generally ∑nnke−βωn<∞ for every k≥1.

The parameter β is a positive real parameter of the model; its identification with an inverse temperature, and the interpretation of ρβ as a physical thermal state, are additional physical assumptions not asserted here.

Facts & Assumptions

Given: the real parameters ω>0, β>0, the one-mode Fock space F(C) with complete orthonormal family (en)n∈N and number operator N, and the bounded operator Gβ defined on the orthonormal family by Gβen=e−βωnen.

[F1]

(en)n∈N is a complete orthonormal family of the Hilbert space F(C); N is self-adjoint with Nen=nen (Fixed-mode number law, Number operator domain).

[F2]

For real scalars cn on every sector ran⁡P+(n), including c0 on C, the direct-sum theorem makes ⨁ncnid bounded and self-adjoint when sup⁡n∣cn∣<∞, with norm sup⁡n∣cn∣ (Hilbert direct-sum construction (f)); when cn≥0, positivity follows from ⟨(⨁ncnid)ψ,ψ⟩=∑ncn∥ψn∥2≥0. A bounded operator agreeing with another bounded operator on a complete orthonormal family agrees everywhere (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[F3]

Geometric series: ∑n≥0qn=1/(1−q) for ∣q∣<1 (For ∣r∣<1, ∑k≥0rk=1/(1−r), and for ∣r∣≥1 the series diverges); Tonelli for nonnegative double series permits the interchange of the summation order, even for the extended value +∞ (Tonelli's theorem for double series of nonnegative extended real numbers).

[F4]

The Fourier-coefficient map Φ:F(C)→ℓ2(N,C), Φ(ψ)=(⟨ψ,en⟩)n, is a linear bijection with ∥Φ(ψ)∥2=∥ψ∥ (A Hilbert space with a given orthonormal basis is ℓ2 of the index set).

[F5]

Bounded finite-rank operators are compact, norm limits of compact operators into a Hilbert space are compact, and a compact operator with a nuclear representation of summable rank-one norms is trace class with trace norm no greater than that sum (Bounded finite rank operators are compact, Norm limit of compact operators is compact, Nuclear series characterizes trace norm).

[F6]

If (un) is a countable orthonormal family and wn≥0 with ∑nwn=1, then ρ:=∑nwnTun,un converges in trace norm to a density operator with tr⁡ρ=1 (Density operators and scalar spectral probability (a)).

[F7]

The complex exponential satisfies exp⁡(z+w)=exp⁡(z)exp⁡(w) for all complex z,w and agrees with the real exponential on real inputs (exp⁡(z+w)=exp⁡z exp⁡w, and the complex exponential extends the real exponential).

[F8]

For a trace-class operator T and a supplied Hilbert basis (en), tr⁡T=∑n⟨Ten,en⟩ and ∣tr⁡T∣≤∥T∥1 (Trace is absolutely convergent and basis independent).

Proof

1.1F1F2algebra

[The diagonal weights] For every n the operator cnid on the nonzero complex Hilbert space ran⁡P+(n)=C has the single real eigenvalue e−βωn∈(0,1], so the direct sum ⨁ne−βωnid is bounded and self-adjoint with norm sup⁡ne−βωn=1 by [F2]; its quadratic form is ∑ne−βωn∥ψn∥2≥0, so it is positive. By [F1] this direct sum agrees with Gβ on the complete orthonormal family (en) and therefore equals Gβ: a bounded operator vanishing on all en is zero. This proves (a).

1.2F3F7algebra

[The weight sums] Put q:=e−βω∈(0,1). The geometric series [F3] gives Z(β)=∑n≥0qn=1/(1−q). For the first moment, ∑n≥1nqn=∑n≥1∑m=1nqn=∑m≥1∑n≥mqn, where the interchange of the nonnegative double series is licensed by [F3]; the inner sum is ∑n≥mqn=qm/(1−q) by the geometric series, so the total is 11−q∑m≥1qm=q(1−q)2<∞. The identity q/(1−q)=1/(eβω−1) follows from eβωe−βω=e0=1 by [F7]. This proves (b).

2.1F4F5F8step 1.2algebra

[Trace class and its trace] Put qn:=e−βωn and RN:=∑n=0NqnTen,en. Each RN is finite rank and compact by [F5]. Parseval [F4] gives ∥(Gβ−RN)ψ∥2=∑n>Nqn2∣⟨ψ,en⟩∣2≤qN+12∥ψ∥2, so RN→Gβ in operator norm and [F5] makes Gβ compact. The expansion Gβψ=∑n≥0⟨ψ,en⟩(qnen) is a nuclear representation with sum ∑n∥en∥∥qnen∥=∑nqn=Z(β); [F5] therefore gives ∥Gβ∥1≤Z(β) and trace class. By [F8], tr⁡Gβ=∑n⟨Gβen,en⟩=∑nqn=Z(β) and Z(β)=∣tr⁡Gβ∣≤∥Gβ∥1. Thus ∥Gβ∥1=tr⁡Gβ=Z(β), proving (c).

2.2F3F6step 1.1step 1.2algebra

[The density operator and its number expectation] With wn:=e−βωn/Z(β)≥0 and ∑nwn=1 by step 1.2, [F6] gives that ρβ=∑nwnTen,en is a density operator; since Ten,en is the rank-one projection onto Cen and Gβ=∑ne−βωnTen,en (agreement on the complete orthonormal family, step 1.1), one has ρβ=Gβ/Z(β). The display defines ⟨N⟩β as the absolutely convergent sum ∑nnwn; by step 1.2, ⟨N⟩β=e−βω(1−e−βω)2/11−e−βω=e−βω1−e−βω=1eβω−1. For each integer k≥1, put a:=βω/2>0 and bn:=nke−an for n≥1. Then bn+1/bn=(1+1/n)ke−a→e−a<1, so for some N and r<1 this ratio is at most r for all n≥N; hence (bn) is bounded. Thus nke−βωn=bne−an≤Cke−an for a finite Ck, and the geometric series with ratio e−a<1 gives ∑nnke−βωn<∞.

3.1step 1.1step 1.2step 2.1step 2.2algebra∎

[Conclusion and scope] Steps 1.1-2.2 prove (a)-(d); the displayed series are ordinary absolutely convergent real series and the trace statements use only the supplied spectral data. The closing paragraph of the statement records that the physical reading of β and ρβ requires additional assumptions, so no physical interpretation is asserted here.

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Countable-mode product criterion

Statement

Assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (ACω), The Axiom of Choice). Let H be a complex Hilbert space with a countable complete orthonormal family (ej)j≥1 (Orthonormal families, complete orthonormal systems and Hilbert bases), let (εj)j≥1⊆(0,∞), let β>0, and let F(H) be the Fock space of Hilbert direct-sum construction. Let M be the set of finite nondecreasing sequences I=(j1≤⋯≤jn) with n≥0 (the empty sequence included); for I=(j1≤⋯≤jn) put vI:=P+(n)(ej1⊗⋯⊗ejn)∈F(H)(n≥1),v∅:=Ω,λI:=εj1+⋯+εjn (empty sum 0), and uI:=vI/∥vI∥. Then:

(a) (uI)I∈M is a complete orthonormal family of F(H) (Hilbert space);

(b) the diagonal operator D(Dβ):={ψ∈F(H):∑I∈Me−2βλI∣⟨ψ,uI⟩∣2<∞},Dβψ:=∑Ie−βλI⟨ψ,uI⟩uI is bounded, self-adjoint and positive with ∥Dβ∥≤1; it is trace class exactly when ∑Ie−βλI<∞, and then tr⁡Dβ=∑Ie−βλI (Trace class operator, Trace of a trace class operator);

(c) for every N≥1, ∑I∈MI⊆{1,…,N}e−βλI=∏j=1N11−e−βεj, and ∑I∈Me−βλI=lim⁡N→∞∏j=1N11−e−βεj∈(0,∞];

(d) product criterion: ∑Ie−βλI<∞ if and only if ∑j≥1e−βεj<∞, and in that case ∑I∈Me−βλI=∏j=1∞11−e−βεj<∞;

(e) consequently Dβ is trace class if and only if ∑je−βεj<∞, with the trace given by the infinite product in (d).

The operator Dβ is a purely mathematical diagonal operator on F(H); no thermal, thermodynamic or measurement interpretation is asserted.

Facts & Assumptions

Given: a complex Hilbert space H with countable complete orthonormal family (ej)j≥1, positive numbers εj and β, the Fock space F(H) with tensor powers H⊗n and symmetric projections P+(n), the family (uI)I∈M and the numbers λI, and the diagonal operator Dβ.

[F1]

F(H) is a Hilbert space; ψn∈ran⁡P+(n); ∥ψ∥2=∑n∥ψn∥2; the sectors are orthogonal (Hilbert direct-sum construction, Fock sector projections).

[F2]

P+(n) is the orthogonal projection (1/n!)∑π∈SnUπ onto the vectors fixed by all permutation unitaries; for fixed m the tensor maps are isometric: ∥u1⊗⋯⊗um∥=∥u1∥⋯∥um∥; the elementary tensors ei1⊗⋯⊗ein over all n-tuples have dense linear span in H⊗n (Permutation sector projections on the n-fold tensor power, Hilbert tensor construction: inner product, completion and product bases).

[F3]

The diagonal lemma: for a complete orthonormal family (fn)n∈N, with N={0,1,2,…}, of a Hilbert space and real numbers μn, the operator with domain {ψ:∑nμn2∣⟨ψ,fn⟩∣2<∞} and ψ↦∑nμn⟨ψ,fn⟩fn is self-adjoint (Diagonal adjoint and graph-core lemma).

[F4]

Once step 2.1 establishes that (uI)I∈M is a complete orthonormal family, its Fourier coefficient map has squared coefficient sum ∑I∣⟨ψ,uI⟩∣2=∥ψ∥2 (A Hilbert space with a given orthonormal basis is ℓ2 of the index set). Bounded finite-rank operators are compact, norm limits of compact operators into a Hilbert space are compact, and a compact operator is trace class exactly when it has a nuclear representation with summable rank-one norms (Bounded finite rank operators are compact, Norm limit of compact operators is compact, Nuclear series characterizes trace norm).

[F5]

Geometric series and nonnegative double series: ∑k≥0qk=1/(1−q) for 0≤q<1; the order of summation of a nonnegative double series may be interchanged (For ∣r∣<1, ∑k≥0rk=1/(1−r), and for ∣r∣≥1 the series diverges, Tonelli's theorem for double series of nonnegative extended real numbers).

[F6]

For x≥1, log⁡x=∫1xdt/t and 0≤log⁡x≤x−1, log⁡x≥1−1/x (The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t, If f≤g on [a,b] and both are integrable then ∫abf≤∫abg; and m(b−a)≤∫abf≤M(b−a), The natural logarithm as the inverse of the exponential function); consequently q≤−log⁡(1−q)≤q/(1−q) for 0<q<1 (substitute x=1/(1−q)≥1).

[F7]

The natural logarithm is continuous and strictly increasing on (0,∞), satisfies log⁡(xy)=log⁡x+log⁡y and log⁡(1/x)=−log⁡x, and is the inverse of the strictly increasing exponential (Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm, The natural logarithm as the inverse of the exponential function).

[F8]
[F9]

Once step 2.1 supplies the Hilbert basis (uI), the basis sum for any trace-class T is absolutely convergent and equals tr⁡T (Trace is absolutely convergent and basis independent).

Proof

1.1F1F2algebra

[Orthonormality] Let I=(j1≤⋯≤jn), I′=(j1′≤⋯≤jm′) and first suppose n=m≥1. Using P+(n)=P+(n)∗ and P+(n)χ=χ for χ∈ran⁡P+(n), [F2] gives ⟨vI,vI′⟩=1n!∑π∈Sn⟨ej1⊗⋯⊗ejn,Uπ(ej1′⊗⋯⊗ejn′)⟩. Each summand is 1 exactly when π maps the tuple (j1′,…,jn′) to (j1,…,jn) and 0 otherwise, by orthonormality of the ej; since both tuples are nondecreasing, such π exists only if I=I′, and then the number of such π is the product of the factorials of the multiplicities of I. Hence ⟨vI,vI′⟩=0 for I≠I′ and ∥vI∥2≥1/n!>0, so (uI) is an orthonormal family; tensors from different n are orthogonal by [F1].

1.2F5algebra

[Factoring the finite sums] Fix N≥1. The map I↦(n1,…,nN) assigning to a multiset I⊆{1,…,N} the number nj of occurrences of j is a bijection onto NN, and λI=∑jnjεj; by [F5] and the geometric series with q=e−βεj∈(0,1), ∑I⊆{1,…,N}e−βλI=∑(n1,…,nN)∈NN∏j=1Ne−βnjεj=∏j=1N∑n≥0e−βnεj=∏j=1N11−e−βεj, the interchange of the finite product with the sums following by induction from [F5] (Tonelli for nonnegative series).

2.1F1F2step 1.1algebra

[Completeness] The ordered elementary tensors ei1⊗⋯⊗ein have dense span in H⊗n ([F2]); applying the bounded projection P+(n) gives a dense subset of ran⁡P+(n), and the vectors P+(n)(ei1⊗⋯⊗ein) over ordered tuples coincide with those over nondecreasing tuples because P+(n)Uπ=P+(n) ([F2]). Hence the span of {uI:∣I∣=n} is dense in ran⁡P+(n); combining the sectors and using that every ψ∈F(H) is the limit of its truncations ([F1]) shows that the span of all uI is dense in F(H). With step 1.1 this proves (a).

2.2F5F6F7F8step 1.2algebra

[The infinite product and the criterion] The finite sums of step 1.2 increase with N because all terms are positive, and every finite multiset I lies in an initial segment, so ∑I∈Me−βλI=lim⁡N∑I⊆{1,…,N}e−βλI=lim⁡N∏j≤N(1−e−βεj)−1∈(0,∞]. Put qj=e−βεj∈(0,1). For every j, [F6] gives qj≤−log⁡(1−qj)≤qj/(1−qj). If infinitely many qj>1/2, both ∑jqj and ∑j−log⁡(1−qj) diverge, the latter already bounded below by the former termwise. Otherwise only finitely many such terms occur, all finite, and on the remaining tail qj≤−log⁡(1−qj)≤2qj; therefore the logarithmic sum is finite exactly when ∑jqj is finite. By the product and reciprocal laws in [F7], log⁡∏j≤N(1−qj)−1=∑j≤N−log⁡(1−qj). If these logarithmic partial sums are bounded, the increasing reciprocal products are bounded as well, since log⁡ is increasing and exp⁡ is its increasing inverse; hence [F8] gives a finite limit. Conversely, if the reciprocal products have a finite limit, they are bounded and [F7] makes their logarithmic partial sums bounded. In the finite case, if PN denotes the reciprocal partial product and PN→P, continuity of log⁡ gives log⁡P=∑j−log⁡(1−qj), so P=exp⁡(∑j−log⁡(1−qj)). This proves (c) and (d) in both large-factor branches without assuming summability in advance.

3.1F3F4F9step 1.1step 2.1algebra

[The diagonal operator and the M-indexed trace criterion] The set M is countably infinite: group its finite nondecreasing sequences by the integer n+∑r=1njr, list each finite group lexicographically (its sequences have length and entries bounded by the group integer), skip empty groups, and concatenate the groups (the singleton sequences ensure infinitely many entries). Fix the resulting enumeration I1,I2,… and put μm:=e−βλIm. Put μI:=e−βλI for every I. By step 2.1, (fn)n≥0:=(uIn+1)n≥0 is a complete orthonormal family, and [F3] applies with coefficients μIn+1. Reindexing its sums by this bijection shows that the diagonal operator Dβ is self-adjoint; Parseval from [F4] gives ∥Dβψ∥2=∑IμI2∣⟨ψ,uI⟩∣2≤∥ψ∥2, so its domain is all of F(H) and it is bounded with norm at most one. Its coefficients are positive, so ⟨Dβψ,ψ⟩=∑IμI∣⟨ψ,uI⟩∣2≥0; hence it is positive. If ∑IμI<∞, define RNψ:=∑m=1Nμm⟨ψ,uIm⟩uIm. Each RN is finite rank and compact by [F4], while Parseval gives ∥Dβ−RN∥≤sup⁡m>Nμm≤∑m>Nμm→0. Thus Dβ is compact by [F4]. Its coefficient expansion is the nuclear representation Dβψ=∑m≥1⟨ψ,uIm⟩(μmuIm), whose nuclear sum is ∑mμm<∞; [F4] therefore proves that Dβ is trace class. Conversely, if Dβ is trace class, [F9] applied to the supplied basis (uI) gives tr⁡Dβ=∑I⟨DβuI,uI⟩=∑IμI<∞. Hence Dβ is trace class exactly when the M-indexed sum is finite, and then its trace is that sum.

4.1step 3.1step 2.2algebra∎

[Conclusion] Combining step 3.1 with step 2.2 gives (e): Dβ is trace class if and only if ∑je−βεj<∞, and then tr⁡Dβ=∑Ie−βλI=∏j≥1(1−e−βεj)−1. Parts (a)-(e) are proved, and no thermal or measurement interpretation is claimed.

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Fermion and dilute grand-canonical formulas

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let β>0 and let (εj)j≥1⊆(0,∞) and μ∈R be real data; write qj:=e−β(εj−μ).

(a) Single fermionic orbital. On h:=C2 with orthonormal basis (u0,u1) define the bounded self-adjoint operator N− by N−u0=0, N−u1=u1 (A bounded linear operator between normed spaces). Then the diagonal operator F:=∑k=01e−β(ε1−μ)k Tuk,uk is positive, self-adjoint, finite rank, and tr⁡F=1+e−β(ε1−μ),∑k=01k e−β(ε1−μ)ktr⁡F=1eβ(ε1−μ)+1 (Trace class operator, Trace of a trace class operator, Trace is absolutely convergent and basis independent).

(b) Countable grand-canonical factor products. Define N:={N⊆{1,2,… }:N finite} and set ZB:=sup⁡N∈N ∏j∈N11−qj∈(0,∞],ZF:=sup⁡N∈N ∏j∈N(1+qj)∈[1,∞], with the convention ZB:=+∞ if some j has εj−μ≤0. Then: ZB<∞  ⟺  ∑je−βεj<∞  and  μ<inf⁡jεj,ZF<∞  ⟺  ∑je−βεj<∞, and in these finite cases ZB=∏j≥1(1−qj)−1 and ZF=∏j≥1(1+qj).

(c) Mode occupancies and dilute remainders. For a single mode with 0<q<1 (boson) and q>0 (fermion), ∑n≥0n qn∑n≥0qn=q1−q=q+q21−q,∑n=01n qn∑n=01qn=q1+q=q−q21+q; consequently the deviations from q are bounded by q2/(1−q) and q2/(1+q) respectively, and both are at most 2q2 when q≤1/2.

All statements are mathematical statements about diagonal weights and products; no identification of β,μ,εj with physical temperatures, chemical potentials or energies, and no thermal or thermodynamic conclusion, is asserted.

Facts & Assumptions

Given: the real data β>0, (εj)j≥1⊆(0,∞), μ∈R, the numbers qj=e−β(εj−μ), the two-dimensional Hilbert space h=C2 with orthonormal basis (u0,u1), the finite-rank operators Tuk,uk, and 0<q<1.

[F1]

For 0≤q<1, the geometric series gives ∑n≥0qn=(1−q)−1 (For ∣r∣<1, ∑k≥0rk=1/(1−r), and for ∣r∣≥1 the series diverges). Tonelli for nonnegative double series (Tonelli's theorem for double series of nonnegative extended real numbers) gives ∑n≥1nqn=∑m≥1∑n≥mqn=(1−q)−1∑m≥1qm=q/(1−q)2. This scalar derivation uses no Axiom-of-Choice operator supplier.

[F2]

A finite-rank operator is trace class; the trace is independent of the chosen Hilbert basis and equals the sum of the diagonal entries in any supplied Hilbert basis (Trace class operator, Trace of a trace class operator, Trace is absolutely convergent and basis independent).

[F3]

For x≥1, log⁡x=∫1xdt/t and 1−1/x≤log⁡x≤x−1; hence for 0≤q≤1/2, log⁡(1+q)≤q and log⁡(1+q)≥q−q2 (The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t, If f≤g on [a,b] and both are integrable then ∫abf≤∫abg; and m(b−a)≤∫abf≤M(b−a), The natural logarithm as the inverse of the exponential function).

[F4]

The scalar bosonic logarithmic comparison is q≤−log⁡(1−q)≤q/(1−q) for 0<q<1: apply the integral bounds 1−1/x≤log⁡x≤x−1 of [F3] at x=(1−q)−1. This uses only The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t, If f≤g on [a,b] and both are integrable then ∫abf≤∫abg; and m(b−a)≤∫abf≤M(b−a) and The natural logarithm as the inverse of the exponential function, not a Hilbert-space or spectral product theorem.

[F5]

The natural logarithm has the product, quotient and reciprocal laws and is continuous and strictly increasing on (0,∞) (Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm).

[F6]

The complex exponential satisfies exp⁡(z+w)=exp⁡(z)exp⁡(w) for all complex z,w and extends the real exponential (exp⁡(z+w)=exp⁡z exp⁡w, and the complex exponential extends the real exponential).

Proof

1.1F1F2algebra

[Single orbital] The vector uk is an eigenvector of ∑m=01mTum,um with eigenvalue k, so e−β(ε1−μ)N−=∑k=01e−β(ε1−μ)kTuk,uk=F on a complete orthonormal family, hence everywhere; F is a positive diagonal finite-rank operator with eigenvalues 1 and e−β(ε1−μ)>0. By [F2] its trace is 1+e−β(ε1−μ) and the weighted average of the eigenvalues 0,1 is 0⋅1+1⋅e−β(ε1−μ)1+e−β(ε1−μ)=1eβ(ε1−μ)+1. This proves (a).

1.2F1algebra

[Dilute remainders] For 0<q<1, the bosonic signed deviation is q1−q−q=q21−q>0. For every q>0, the fermionic signed deviation is q1+q−q=−q21+q<0. Their absolute values are q2/(1−q) and q2/(1+q) on these respective domains; when 0<q≤1/2, each is bounded by 2q2 because 1−q≥1/2 and 1+q≥1. The bosonic geometric sums are [F1], and the fermionic finite sums are 1+q and q. This proves (c).

1.3F3F5F6F7algebra

[Fermionic products] If infinitely many j have qj>1/2, the product over any k of these indices is at least (3/2)k, so ZF=+∞ and ∑jqj=+∞. Otherwise their finitely many factors are finite positive constants, and [F3] gives qj/2≤qj−qj2≤log⁡(1+qj)≤qj on the remaining tail. Thus the nonnegative logarithmic partial sums are bounded exactly when ∑jqj<∞. Since ∏j≤n(1+qj)=exp⁡(∑j≤nlog⁡(1+qj)), the increasing partial products have a finite limit exactly in that case. Every finite subset is contained in an initial segment and every factor is at least one, so their supremum equals that limit. Finally ∑jqj=eβμ∑je−βεj, giving precisely the fermionic equivalence in (b).

1.4F3F4F5F6F7algebra

[Bosonic products] If some εj≤μ, then qj≥1 and ZB=+∞ by the stated convention; also μ<inf⁡jεj fails. Suppose all qj<1. By [F4], qj≤−log⁡(1−qj) for every index. If infinitely many qj>1/2, both corresponding sums diverge; otherwise discard only that finite set and use qj≤−log⁡(1−qj)≤2qj on its complement. Consequently ∑j−log⁡(1−qj)<∞ exactly when ∑jqj<∞, and the reciprocal partial products, whose logarithms are these partial sums, have a finite limit exactly then. Their limit equals the finite-subset supremum because the factors are at least one. If ∑jqj<∞, then qj→0, so εj→+∞ since qj=e−β(εj−μ) and β>0. In particular, all but finitely many εj exceed ε1; hence the infimum is attained in a nonempty finite initial set. Since every εj>μ, this gives μ<inf⁡jεj. Conversely, μ<inf⁡jεj and ∑je−βεj<∞ imply all qj<1 and ∑jqj=eβμ∑je−βεj<∞, so the scalar criterion just proved gives finite ZB. This proves the full bosonic equivalence without assuming attainment in the hypotheses and without invoking an Axiom-of-Choice spectral theorem.

2.1step 1.1step 1.2step 1.3step 1.4algebra∎

[Conclusion] Steps 1.1, 1.2, 1.3 and 1.4 establish (a), (c), the fermionic half of (b) and the bosonic half of (b) respectively; in the finite cases the displayed products are the limits, and the mode occupancies in (c) are the normalized geometric sums of [F1]. The closing paragraph of the statement records that no physical identification of the parameters or of the products with thermodynamic quantities is asserted.

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Finite Gibbs free-energy minimum

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let H be a finite-dimensional complex Hilbert space of dimension d≥1 with inner product linear in the first argument (Hilbert space), let H:H→H be a self-adjoint linear operator with real eigenvalues E1,…,Ed (repeated according to multiplicity) and orthonormal eigenbasis (v1,…,vd), and let β>0. Write Z:=∑j=1de−βEj∈(0,∞),ρβ:=1Z∑j=1de−βEjTvj,vj, where Tu,vx=⟨x,v⟩u (Density operators and scalar spectral probability). Let D be the set of density operators on H, i.e. positive self-adjoint trace-class operators ρ with tr⁡ρ=1 (Trace class operator, Trace of a trace class operator), and for ρ∈D with eigenvalues w1,…,wd≥0 (counted with multiplicity and in any order) define the entropy s(ρ):=−∑i: wi>0wilog⁡wi∈[0,log⁡d] (The natural logarithm as the inverse of the exponential function). Then:

(a) ρβ∈D, tr⁡(ρβH)=1Z∑je−βEjEj, and tr⁡(ρβH)−β−1s(ρβ)=−β−1log⁡Z;

(b) for every ρ∈D, tr⁡(ρH)−β−1s(ρ) ≥ −β−1log⁡Z;

(c) for every ρ∈D, s(ρ)≤log⁡d, with s(ρ)=log⁡d if and only if ρ=d−1 id; when H=0 one has Z=d, ρβ=d−1id and the bound in (b) is attained there.

The combination tr⁡(ρH)−β−1s(ρ) is a purely mathematical functional of (ρ,H,β); identifying β with an inverse physical temperature and ρβ with a thermal equilibrium state are additional physical assumptions not asserted here.

Facts & Assumptions

Given: the finite-dimensional complex Hilbert space H of dimension d≥1, the self-adjoint operator H with eigenvalues Ej and orthonormal eigenbasis (vj), the number β>0, the partition sum Z, the Gibbs weight operator ρβ, and an arbitrary density operator ρ∈D with eigenvalues wi and orthonormal eigenbasis (ui).

[F1]

Finite-dimensional spectral theorem: every self-adjoint (indeed normal) endomorphism of H has an orthonormal basis of eigenvectors; the eigenvalues are real for H, and ρ has an orthonormal eigenbasis with wi≥0, ∑iwi=tr⁡ρ=1 (Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely, Density operators and scalar spectral probability).

[F2]

On a finite-dimensional space every operator is trace class, the trace is basis-independent, and for a diagonal operator the trace is the sum of its eigenvalues (Trace class operator, Trace of a trace class operator, Trace is absolutely convergent and basis independent).

[F3]

For x>0, log⁡′(x)=1/x and log⁡x=∫1xdt/t; for x≥1, 1−1/x≤log⁡x≤x−1 (The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t, The natural logarithm as the inverse of the exponential function, If f≤g on [a,b] and both are integrable then ∫abf≤∫abg; and m(b−a)≤∫abf≤M(b−a)). The inequality log⁡x≤x−1 for every x>0, with equality only at x=1, is derived in step 1.3.

[F4]

For positive x,y, log⁡(xy)=log⁡x+log⁡y, log⁡(x/y)=log⁡x−log⁡y and log⁡(1/x)=−log⁡x (Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm).

Proof

1.1F1F2F4algebra

[The Gibbs state and its entropy] The weights qj:=e−βEj/Z are positive with ∑jqj=1, so by [F1] and [F2] ρβ=∑jqjTvj,vj is a positive self-adjoint operator with orthonormal eigenbasis (vj), eigenvalues qj and trace 1; hence ρβ∈D. Its entropy is s(ρβ)=−∑jqjlog⁡qj=∑jqj(βEj+log⁡Z)=βtr⁡(ρβH)+log⁡Z by [F2], where tr⁡(ρβH)=∑jqjEj. Rearranging gives tr⁡(ρβH)−β−1s(ρβ)=−β−1log⁡Z, which is (a).

1.2F1algebra

[The doubly stochastic matrix] Let pij:=∣⟨ui,vj⟩∣2. Since (ui) and (vj) are orthonormal bases, [F1] gives pij≥0, ∑jpij=∥ui∥2=1 and ∑ipij=∥vj∥2=1: the matrix (pij) is doubly stochastic. For ri:=∑jpijqj one has ri>0 because all qj>0 and ∑jpij=1, and ∑iri=∑jqj∑ipij=1.

1.3F1F3algebra

[The entropy bound and equality case] For x>1, the integral formula in [F3] gives log⁡x=∫1xdt/t<x−1, because 1/t<1 for t>1; for 0<x<1, put y=1/x>1. On [1,y) one has 1/t>1/y=x, so log⁡y=∫1ydt/t>x(y−1)=1−x, and the reciprocal law gives log⁡x=−log⁡y<x−1. Thus log⁡x≤x−1 for every x>0, with equality exactly at x=1. Let S:={i:wi>0} and k:=∣S∣, so 1≤k≤d. Then Since 0<wi≤1, every term −wilog⁡wi=wilog⁡(1/wi) is nonnegative. Also s(ρ)−log⁡d=∑i∈Swilog⁡1dwi≤∑i∈Swi(1dwi−1)=kd−1≤0. If s(ρ)=log⁡d, then k=d and equality holds in every positive-weight logarithm inequality, since each individual difference wi[(1/(dwi)−1)−log⁡(1/(dwi))] is nonnegative and their finite sum is zero. The equality characterization above forces 1/(dwi)=1 for all i, so wi=1/d and ρ=∑i(1/d)Tui,ui=d−1id. Conversely ρ=d−1id has entropy log⁡d. When H=0 all Ej=0, so Z=d and ρβ=d−1id, and the bound of (b) is attained there.

2.1F2F3F4step 1.1step 1.2step 1.3algebra

[Relative entropy is nonnegative] With wi the eigenvalues of ρ in the orthonormal eigenbasis (ui) of [F1], log⁡ρ=∑i:wi>0(log⁡wi)Tui,ui and log⁡ρβ=∑j(log⁡qj)Tvj,vj (finite-dimensional spectral calculus). For the product with ρ, the symbol log⁡ρ here denotes the logarithm on the positive spectral support extended by zero on ker⁡ρ; it does not assign a value to log⁡0. Thus by [F2] tr⁡(ρlog⁡ρ)=∑i:wi>0wilog⁡wi and tr⁡(ρlog⁡ρβ)=∑i:wi>0wi∑jpijlog⁡qj. For each i with wi>0, ri=∑jpijqj>0 and ∑jpij=1 by step 1.2. Applying log⁡x≤x−1 from step 1.3 to x=qj/ri and summing with weights pij gives ∑jpijlog⁡(qj/ri)≤∑jpij(qj/ri−1)=0, hence ∑jpijlog⁡qj≤log⁡ri. Therefore tr⁡(ρlog⁡ρ)−tr⁡(ρlog⁡ρβ)≥∑i:wi>0wi(log⁡wi−log⁡ri)=∑i:wi>0wilog⁡(wi/ri). Writing wilog⁡(wi/ri)=−wilog⁡(ri/wi) and again applying step 1.3 to x=ri/wi>0 gives wilog⁡(wi/ri)≥wi−ri; summing, ∑i:wi>0(wi−ri)=1−∑i:wi>0ri=∑i:wi=0ri≥0, since ∑iri=1 by step 1.2. Therefore tr⁡(ρlog⁡ρ)≥tr⁡(ρlog⁡ρβ).

3.1F2F4step 1.1step 2.1algebra

[The lower bound] By the spectral description of ρβ in step 1.1, tr⁡(ρlog⁡ρβ)=∑j(log⁡qj)tr⁡(ρTvj,vj)=∑j(−βEj−log⁡Z)⟨ρvj,vj⟩=−βtr⁡(ρH)−log⁡Z, since ∑j⟨ρvj,vj⟩=tr⁡ρ=1 and tr⁡(ρH)=∑jEj⟨ρvj,vj⟩ (because H=∑jEjTvj,vj). Combining with step 2.1 gives tr⁡(ρlog⁡ρ)≥−βtr⁡(ρH)−log⁡Z; multiplying by β−1 and rearranging, using s(ρ)=−tr⁡(ρlog⁡ρ), gives the bound (b).

4.1step 1.1step 1.2step 2.1step 3.1step 1.3algebra∎

[Conclusion and scope] Steps 1.1-3.1 prove (a), (b) and (c), including the asserted equality in (a) and the attainment in (c). The final paragraph of the statement records that the thermodynamic reading of the functional and of ρβ requires additional physical assumptions, which are not part of this mathematical statement.

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Entropy-divergence example

Example

Let wn:={0,n∈{0,1},1C n (log⁡n)2,n≥2,C:=∑n≥21n(log⁡n)2, where log⁡ is the natural logarithm. This example verifies concretely that:

(a) the normalizing constant is finite and positive, C∈(0,∞), so that ∑n≥0wn=1 (Series and absolute convergence in a normed space);

(b) the entropy of the weight family diverges, s(w):=−∑n≥0wnlog⁡wn=∑n≥0wnlog⁡1wn=+∞, where the sum is the nonnegative extended sum of the nonnegative terms wnlog⁡(1/wn); for a zero weight, both expressions −wnlog⁡wn and wnlog⁡(1/wn) are defined to have value 0. Thus the two zero weights at n=0,1 contribute 0 rather than requiring a logarithm or reciprocal at zero;

(c) Consequently, a probability weight on a countable set can have infinite entropy, while every finite probability vector p=(p1,…,pd) with pi≥0 and ∑ipi=1 has entropy sd(p):=−∑i:pi>0pilog⁡pi≤log⁡d (zero entries contribute 0). The finite bound is verified below.

Verification

Given: the weight family (wn)n∈N and the constant C defined above.

[F1] Cauchy condensation: for a nonnegative nonincreasing family (ak)k≥1, ∑k≥1ak converges if and only if ∑j≥02ja2j converges (For a nonincreasing nonnegative sequence, ∑ak converges iff ∑2ka2k converges).

[F2] p-series: ∑k≥1k−p converges if and only if p>1; in particular ∑k≥1k−2<∞ and ∑k≥1k−1=∞ (The p-series for a real exponent p converges exactly when p is greater than one).

[F4] The natural logarithm is continuous, strictly increasing and onto R, satisfies log⁡1=0, the product and reciprocal laws, and is inverse to the real exponential (Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm, The natural logarithm as the inverse of the exponential function).

1.1F1F2F3algebra

[Finiteness of C] The family ak:=1/(k(log⁡k)2), k≥2, is nonnegative and nonincreasing for k≥3 (the denominator k(log⁡k)2 is increasing by [F3] applied to log⁡), so condensation [F1] applied to the tail from k≥2 reduces ∑k≥2ak to ∑j≥12ja2j=∑j≥12j2j(log⁡2j)2=1(log⁡2)2∑j≥11j2, which converges by [F2]; the finitely many terms with k=2 do not affect convergence. Since every term is positive, C∈(0,∞) and therefore ∑nwn=C/C=1.

1.2F1F2algebra

[Divergence of the comparison series] Again by [F1], ∑k≥31klog⁡k converges if and only if ∑j≥22j2jlog⁡(2j)=1log⁡2∑j≥21j converges, which fails by [F2] with p=1; hence ∑k≥31/(klog⁡k)=+∞.

1.3F3F4algebra

[The entropy lower bound] Put R:=max⁡(0,−12log⁡C). Since log⁡ is onto, choose x0>0 with log⁡x0=eR; for every integer n≥max⁡{2,x0}, monotonicity gives log⁡n≥eR and then log⁡log⁡n≥R. Thus log⁡C+2log⁡log⁡n≥0. By the product and reciprocal laws [F4], log⁡1wn=log⁡C+log⁡n+2log⁡log⁡n≥log⁡n>0 for all such n, and wnlog⁡1wn≥1Cn(log⁡n)2log⁡n=1Cnlog⁡n.

2.1step 1.1step 1.2step 1.3algebra

[Divergence of the entropy] Since all terms wnlog⁡(1/wn) are nonnegative, the extended sum s(w)=∑n≥0wnlog⁡(1/wn) dominates any finite partial sum; by step 1.3 it dominates 1C∑N≤n≤M1nlog⁡n for all large N≤M, and step 1.2 shows that these partial sums are unbounded as M→∞. Hence s(w)=+∞, proving (b) and, with step 1.1, the countable-set claims (a)-(b).

3.1F3F4step 1.1step 2.1algebra∎

[The finite-dimensional entropy bound] Let S:={i:pi>0} and k:=∣S∣, so 1≤k≤d. For every x≥1, [F3] gives log⁡x≤x−1; for 0<x<1, put y=1/x>1 and use [F3] with [F4] to get log⁡x=−log⁡y≤−(1−1/y)=x−1. Therefore, using the logarithm laws [F4] and ∑i∈Spi=1, sd(p)−log⁡d=∑i∈Spilog⁡1dpi≤∑i∈Spi(1dpi−1)=kd−1≤0. This proves the finite-dimensional bound in (c); together with steps 1.1-2.1 it establishes (a)-(c).

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Variational ground gap overlap

Statement

Assume the Axiom of Choice and the Axiom of Countable Choice (The Axiom of Choice, The Axiom of Countable Choice (ACω)). Let H be a self-adjoint operator on a nonzero complex Hilbert space H (Symmetric, self-adjoint and essentially self-adjoint operators, Hilbert space) which is bounded below, let E0:=inf⁡σ(H)∈R, let E be the projection-valued measure of H (Spectral theorem for unbounded self-adjoint operators (PVM form), Projection valued measure), put P:=E({E0}), and assume that g>0 is a spectral gap: σ(H)∩(E0,E0+g)=∅. For u∈D(∣H∣1/2) write Eu(B):=⟨E(B)u,u⟩ for Borel sets B⊆R (Scalar and complex measures from a pvm) and put qH[u]:=∫Rλ dEu(λ); by Density operators and scalar spectral probability (c) this integral exists for u∈D(∣H∣1/2), and for u∈D(H) it equals ⟨Hu,u⟩. Then for every u∈D(∣H∣1/2) with ∥u∥=1:

(a) qH[u]−E0=∫R(λ−E0) dEu(λ) ≥ g ∥(I−P)u∥2;

(b) if qH[u]≤E0+ε for some ε≥0, then ∥(I−P)u∥2≤ε/g; in particular, if ε<g then Pu≠0.

No claim is made about the existence of a ground eigenvector, about E0 being an eigenvalue, or about any physical interpretation of the trial vector.

Facts & Assumptions

Given: the self-adjoint operator H bounded below with bottom E0=inf⁡σ(H), its projection-valued measure E, the ground projection P=E({E0}), a gap g>0, and a vector u∈D(∣H∣1/2) with ∥u∥=1.

[F1]

For a self-adjoint H and unit u∈D(∣H∣1/2), the scalar measure Eu(B)=⟨E(B)u,u⟩ is a probability measure and ∫∣λ∣ dEu<∞, so its signed first moment ∫λ dEu is finite; if u∈D(H), that moment equals ⟨Hu,u⟩ (Density operators and scalar spectral probability (c), Scalar and complex measures from a pvm, Spectral theorem for unbounded self-adjoint operators (PVM form)). No square-root expectation of H is asserted when H may have negative spectrum.

[F2]

E({E0})=P is an orthogonal projection; for every Borel set B, Eu(B)=∥E(B)u∥2, and E(B)=0 implies Eu(B)=0 (Projection valued measure).

[F3]

E0=inf⁡σ(H) means σ(H)⊆[E0,∞), so E((−∞,E0))=0; the gap hypothesis means E((E0,E0+g))=0 (Spectral theorem for unbounded self-adjoint operators (PVM form), Projection valued measure, Symmetric, self-adjoint and essentially self-adjoint operators).

Proof

1.1F1F2F3algebra

[Support of the scalar measure] By [F2] and [F3], Eu((−∞,E0))=∥E((−∞,E0))u∥2=0 and Eu((E0,E0+g))=∥E((E0,E0+g))u∥2=0; hence Eu is concentrated on {E0}∪[E0+g,∞) and, since Eu is a probability measure ([F1]), Eu(R)=∥u∥2=1, Eu({E0})=∥Pu∥2 and Eu([E0+g,∞))=∥(I−P)u∥2.

2.1F1step 1.1algebra

[The first-moment inequality] Write (λ−E0)+:=(λ−E0)1[E0,∞)(λ), a nonnegative Borel function equal to λ−E0 on the support of Eu by step 1.1. Since ∫∣λ∣ dEu<∞ by [F1] and Eu(R)=1, ∫(λ−E0) dEu=∫λ dEu−E0=qH[u]−E0. On the support, (λ−E0)+≥g 1[E0+g,∞)(λ), so qH[u]−E0≥g Eu([E0+g,∞))=g∥(I−P)u∥2, which is (a); if in addition qH[u]≤E0+ε, then g∥(I−P)u∥2≤ε.

3.1step 2.1algebra∎

[Failure of the ground component] If ε<g, then ∥(I−P)u∥2≤ε/g<1=∥u∥2, so ∥Pu∥2=∥u∥2−∥(I−P)u∥2>0 and Pu≠0; this completes the proof of (b) and of the statement.

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Bounded fixed-N operator

Statement

Assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (ACω), The Axiom of Choice). Let N≥1, let m1,…,mN>0 and ℏ>0, write points of R3N as X=(x1,…,xN) with xi∈R3, and let F2 be the Plancherel transform of Plancherel theorem with the convention f^(ξ)=∫f(X)e−2πiX⋅ξ dX on L1 (Fourier transform on complex L1 classes). Define the quadratic weight and the free kinetic operator κ(ξ1,…,ξN):=∑i=1Nℏ22mi∣ξi∣2,K:=F2∗ Mκ F2,D(K):={u∈L2(R3N;C): κ F2u∈L2} (Real multiplication operators and free plus bounded-potential Schrödinger operators). Let V:R3N→R be measurable and bounded, with ∥V∥∞:=ess sup⁡∣V∣<∞, and let MV be multiplication by V (Integer-order Sobolev spaces and their norms, Hilbert space). Then:

(a) K is a self-adjoint positive operator with domain D(K), and D(K) is the Sobolev space W2,2(R3N;C) as a set, with ∥⋅∥W2,2 equivalent to the graph norm u↦(∥u∥2+∥Ku∥2)1/2 (Integer-order W^{k,2} and H^k agree with equivalent norms, Adjoint of a densely defined operator);

(b) H:=K+MV with D(H):=D(K) is self-adjoint and bounded below by −∥V∥∞; the space Cc∞(R3N;C) is a core for both K and H (Symmetric, self-adjoint and essentially self-adjoint operators, Compactly supported smooth functions are dense in W^{k,p}(R^n), Relative boundedness with respect to an operator);

(c) for every r≥1 the operator K⊗Ir+MV⊗Ir on L2(R3N;C)⊗Cr, with domain D(K)⊗Cr, is self-adjoint and bounded below by −∥V∥∞.

In particular, if Vi:R3→R and Wij:R3→R (1≤i<j≤N) are measurable and bounded and V(X):=∑iVi(xi)+∑i<jWij(xi−xj), then ∥V∥∞≤∑i∥Vi∥∞+∑i<j∥Wij∥∞<∞ and (a)-(c) apply. No Hunziker-van Winter-Zhislin threshold statement, no stability of matter, no thermodynamic-limit and no physical interpretation is asserted.

Facts & Assumptions

Given: the integers N,r≥1, masses mi>0, the constant ℏ>0, the weight κ and free operator K, a real bounded measurable V, and the perturbation MV.

[F1]

For a real measurable finite-valued function a on Rd, the multiplier Mau=au on D(Ma)={u:au∈L2} is self-adjoint; the Plancherel transform is unitary with ∥F2u∥=∥u∥ (Real multiplication operators and free plus bounded-potential Schrödinger operators (a), Plancherel theorem, Fourier transform on complex L1 classes).

[F2]

Unitary equivalence preserves self-adjointness: if U is unitary and A is self-adjoint with domain D(A), then U∗AU with domain U−1D(A) is self-adjoint, and K≥0 is equivalent to ⟨Ku,u⟩=∥Mκ1/2F2u∥2≥0 (Adjoint of a densely defined operator, Symmetric, self-adjoint and essentially self-adjoint operators, Hilbert space).

[F3]

Fourier characterization of Sobolev spaces: W2,2(Rd;C)={u:(1+∣ξ∣2)F2u∈L2} with equivalent norm, and Cc∞(Rd;C) is dense in Wk,p (Integer-order W^{k,2} and H^k agree with equivalent norms, Integer-order Sobolev spaces and their norms, Compactly supported smooth functions are dense in W^{k,p}(R^n)).

[F4]

Kato-Rellich: if A is self-adjoint and B is symmetric with D(A)⊆D(B) and ∥Bu∥≤a∥Au∥+b∥u∥ on D(A) for some a<1, then A+B on D(A) is self-adjoint, and if moreover A≥γ then A+B≥γ−max⁡{a∣γ∣+b,b/(1−a)} in the quadratic-form sense (Kato-Rellich theorem, Relative boundedness with respect to an operator).

[F5]

If S⊆T are operators on the same Hilbert space with S symmetric and D(S) a core for the self-adjoint T, then S is essentially self-adjoint with S‾=T (Symmetric, self-adjoint and essentially self-adjoint operators, Densely defined, closed and closable operators, and cores).

Proof

1.1F1F2algebra

[Self-adjointness of K] The function κ is real, measurable and finite-valued, so Mκ is self-adjoint on D(Mκ)={v:κv∈L2} by [F1]; conjugating by the unitary F2 ([F1]) gives that K=F2∗MκF2 is self-adjoint with D(K)=F2−1D(Mκ)={u:κF2u∈L2} ([F2]). For u∈D(K), ⟨Ku,u⟩=⟨MκF2u,F2u⟩=∫κ∣F2u∣2≥0, so K≥0.

1.2F4algebra

[Finitely many components] Let K1,…,Kr be Hilbert spaces and let Ta be self-adjoint on Ka for a=1,…,r. On the direct sum ⨁aKa with domain {(ua):ua∈D(Ta)} define T((ua)):=(Taua). Then T is symmetric (componentwise), and if (u(k)) is in the domain with u(k)→u and Tu(k)→η, then componentwise ua(k)→ua and Taua(k)→ηa; closedness of Ta gives ua∈D(Ta), Taua=ηa and ∑a∥Taua∥2=∥η∥2<∞, so T is closed. Testing the adjoint componentwise shows D(T∗)=D(T) and T∗=T; a symmetric densely defined operator whose adjoint has the same domain is self-adjoint. If all Ta=T0 and Ka=K0, then T≥−∥V∥∞ whenever T0≥−∥V∥∞, because the quadratic form is the sum of the components.

2.1F3F5step 1.1algebra

[Identification with W2,2 and the core] For ξ∈R3N one has cmin⁡(1+∣ξ∣2)≤1+κ(ξ)≤cmax⁡(1+∣ξ∣2) for suitable positive constants cmin⁡,cmax⁡ depending only on N,mi,ℏ; hence κF2u∈L2 if and only if (1+∣ξ∣2)F2u∈L2, i.e. u∈W2,2(R3N;C), with equivalent norms by [F3]. Since Cc∞ is dense in W2,2 ([F3]) and the graph norm of K is equivalent to the W2,2 norm, Cc∞ is a core for K, and K is the unique self-adjoint extension of K∣Cc∞ ([F5]).

3.1F4step 1.1step 2.1algebra

[Bounded perturbation] Since ∥V∥∞<∞, the operator MV is bounded with ∥MV∥≤∥V∥∞; it is symmetric as multiplication by a real function, and on D(K) the bound ∥MVu∥≤0⋅∥Ku∥+∥V∥∞∥u∥ exhibits the admissible pair (a,b)=(0,∥V∥∞). By [F4] with A=K and γ=0, H=K+MV is self-adjoint on D(K) and bounded below by −∥V∥∞. Moreover ∥Hu∥≤∥Ku∥+∥V∥∞∥u∥ and ∥Ku∥≤∥Hu∥+∥V∥∞∥u∥, so the graph norms of H and K are equivalent on D(K); hence the core Cc∞ of step 2.1 is also a core for H. This proves (a) and (b).

4.1step 3.1step 1.2algebra

[The scalar case with r components] The Hilbert space L2(R3N;C)⊗Cr is identified with ⨁a=1rL2(R3N;C) componentwise; under this identification K⊗Ir+MV⊗Ir is the direct sum of r copies of H with domain D(K)⊕r=D(K)⊗Cr. By step 3.1 and step 1.2 it is self-adjoint and bounded below by −∥V∥∞, which is (c).

5.1step 1.1step 2.1step 3.1step 1.2step 4.1algebra∎

[Conclusion and scope] Steps 1.1-3.1 prove (a), (b) and (c); the displayed reduction for external and pair potentials only uses the triangle inequality for essential suprema, ∥V∥∞≤∑i∥Vi∥∞+∑i<j∥Wij∥∞<∞. No HVZ threshold, stability, thermodynamic-limit or physical-interpretation claim is made.

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Permutation-restricted self-adjointness

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let H be a complex Hilbert space, let H be a self-adjoint operator on H (Symmetric, self-adjoint and essentially self-adjoint operators), let N≥1, and let (Uπ)π∈SN be unitary operators on H with UπUσ=Uπσ and Uπ∗=Uπ−1 for all π,σ∈SN (The Hilbert-space adjoint of a bounded operator). Define P+:=1N!∑π∈SNUπ,P−:=1N!∑π∈SNsgn⁡(π)Uπ. Assume that for every π∈SN, UπD(H)⊆D(H)andUπHψ=HUπψ(ψ∈D(H)). Then:

(a) P+ and P− are orthogonal projections on H;

(b) for every z∈ρ(H) one has Uπ(H−z)−1=(H−z)−1Uπ and hence P±(H−z)−1=(H−z)−1P±;

(c) P±D(H)⊆D(H) and HP±ψ=P±Hψ for every ψ∈D(H);

(d) if ran⁡P±≠{0}, then the restriction H±:=H∣D(H)∩ran⁡P± is a self-adjoint operator on the Hilbert space ran⁡P± (Range criterion for self-adjointness);

(e) application: under the additional Axiom of Choice (The Axiom of Choice), let N≥1, m>0, ℏ>0, let r≥1, let Vext,W:R3→R be measurable and bounded, and assume W(−z)=W(z) for every z∈R3. Put V(X):=∑i=1NVext(xi)+∑i<jW(xi−xj) on R3N, let K be the free kinetic operator of Bounded fixed-N operator with all masses mi=m, let Θ:L2(R3)⊗N→L2(R3N) be the iterated Euclidean product unitary (Euclidean L² product unitary: L²(R^a)⊗̂L²(R^b) ≅ L²(R^{a+b}), Hilbert tensor construction: inner product, completion and product bases), let Uπ be the permutation unitaries of Permutation sector projections on the n-fold tensor power and set Uπphys:=Θ Uπ Θ−1,P±phys:=Θ P±(N) Θ−1. Then H:=K+MV satisfies the hypotheses above for the representation Uπphys, so P±phys reduce H and the restrictions of H to the symmetric and antisymmetric sectors are self-adjoint on those sectors.

No spin-statistics statement, no identification of a physical species with a sector, and no claim about bound states or spectra is made.

Facts & Assumptions

Slot convention. For ℓ≥1, Sℓ acts on {0,…,ℓ−1} as in Permutation sector projections on the n-fold tensor power. On one-based tuple positions use π^(k):=1+π(k−1) for 1≤k≤ℓ. Conjugation by k↦k−1 gives πσ^=π^∘σ^ and π−1^=π^−1; thus the supplier's tensor action becomes Uπ(v1⊗⋯⊗vℓ)=vπ^−1(1)⊗⋯⊗vπ^−1(ℓ). The parameters of Uπ and sgn⁡(π) remain canonical zero-based permutations. Given: the complex Hilbert space H, the self-adjoint operator H, the unitary representation (Uπ) of SN, its averages P±, numbers z∈ρ(H) and vectors ψ,φ∈H.

[F1]

By The finite symmetric group Sn, one-line notation, and cycle notation, SN consists of the bijections of an N-element set, so it has N! elements by choosing successive images in N,N−1,…,1 ways. Its sign map is a homomorphism and is surjective for N≥2 (The sign is a homomorphism Sn→{+1,−1}, surjective exactly when n≥2); choose τ with sgn⁡(τ)=−1. Left multiplication by τ pairs the terms of ∑π∈SNsgn⁡(π) with their negatives, so this sum is zero. Group averaging now gives P+∗=P+, P+2=P+ and likewise P−∗=P−, P−2=P−; for N=1, both averages equal the identity. The Hilbert adjoint and bounded-operator conventions are The Hilbert-space adjoint of a bounded operator and A bounded linear operator between normed spaces.

[F2]

For a self-adjoint H and z∈ρ(H) the resolvent R(z):=(H−z)−1 is a bounded bijection of H onto D(H) with inverse H−z; D(H) is dense (Symmetric, self-adjoint and essentially self-adjoint operators, A bounded linear operator between normed spaces).

[F3]

Range criterion: a densely defined symmetric operator S is self-adjoint if and only if it is closed and ran⁡(S−i)=ran⁡(S+i)=H; equivalently if it is closed, symmetric and both S±i are surjective (Range criterion for self-adjointness).

[F4]

The Euclidean product unitary Θ:H1⊗N→L2(R3N) satisfies Θ(f1⊗⋯⊗fN)(x)=f1(x1)⋯fN(xN); the permutation unitaries act by Uπ(f1⊗⋯⊗fN)=fπ^−1(1)⊗⋯⊗fπ^−1(N). The equal-mass free kinetic operator is the maximal Fourier multiplier K=F2∗MκF2, κ(ξ)=ℏ22m∑i∣ξi∣2, on D(K)=W2,2(R3N;C). With the supplier's e−2πiX⋅ξ convention, it equals −ℏ28π2m∑iΔi there. The multiplier V as in (e) is invariant under permutations of the coordinates because W is even (Euclidean L² product unitary: L²(R^a)⊗̂L²(R^b) ≅ L²(R^{a+b}), Hilbert tensor construction: inner product, completion and product bases, Permutation sector projections on the n-fold tensor power, Bounded fixed-N operator).

Proof

1.1F1algebra

[The averages are projections] Since π↦Uπ is a unitary representation and Uπ∗=Uπ−1, P+∗=1N!∑πUπ−1=P+ and P+2=1(N!)2∑π,σUπσ=1N!∑τUτ=P+; the same computation with the characters gives P−∗=P−, P−2=P−. Hence both are orthogonal projections, which is (a).

1.2F2algebra

[Resolvent commutation] Fix z∈ρ(H) and φ∈H; put ψ:=R(z)φ∈D(H). By hypothesis Uπψ∈D(H) and (H−z)Uπψ=Uπ(H−z)ψ=Uπφ; hence UπR(z)φ=R(z)Uπφ for every φ, so UπR(z)=R(z)Uπ; averaging gives P±R(z)=R(z)P±, which is (b).

1.3givenF1algebra

[Reduction] Put χ+(π)=1 and χ−(π)=sgn⁡(π). For ψ∈D(H), P±ψ=1N!∑πχ±(π)Uπψ∈D(H) as a finite linear combination, and the commutation hypothesis gives HP±ψ=1N!∑πχ±(π)HUπψ=1N!∑πχ±(π)UπHψ=P±Hψ, proving (c).

2.1F3step 1.3algebra

[Self-adjointness of the restrictions] Assume ran⁡P≠{0} for P=P± and put K:=ran⁡P and S:=H∣D(H)∩K. Then D(S)=PD(H) is dense in K and S is symmetric: for φ,ψ∈D(S), ⟨Sφ,ψ⟩=⟨Hφ,ψ⟩=⟨φ,Hψ⟩=⟨φ,Sψ⟩ because H is self-adjoint and ψ=Pψ. S is closed: if ψk∈D(S), ψk→ψ and Sψk→η with ψ,η∈K, then H closed gives ψ∈D(H) and Hψ=η, and ψ∈K because K is closed; hence ψ∈D(S), Sψ=η. Finally ran⁡(S−i)=Pran⁡(H−i): indeed (S−i)Pψ=P(H−i)ψ by step 1.3, and conversely every Pχ with χ∈H equals P(H−i)(H−i)−1χ=(S−i)P(H−i)−1χ. Since H−i is onto H ([F3] applied to the self-adjoint H), ran⁡(S−i)=K, and the same argument gives ran⁡(S+i)=K. By [F3], S is self-adjoint on K; this proves (d).

3.1F4step 1.2step 1.3step 2.1algebra

[The permutation-invariant instance] Let H=K+MV as in (e). The unitaries Uπphys=ΘUπΘ−1 form a unitary representation of SN on L2(R3N) ([F4]). The weight κ(ξ)=ℏ22m∑i∣ξi∣2 is invariant under permutations of the blocks ξi, so ΘUπΘ−1 maps D(K) onto itself and intertwines K with itself; and V(πX)=V(X) gives UπphysMVUπphys,−1=MV on all of L2. Hence UπphysD(H)=D(H) and UπphysH=HUπphys on D(H), and step 2.1 applies to P±phys, proving (e).

4.1step 1.1step 1.2step 1.3step 2.1step 3.1algebra∎

[Conclusion and scope] Steps 1.1-3.1 prove (a)-(e). The scope paragraph of the statement records that no spin-statistics assignment and no spectral conclusion is asserted; the symmetric and antisymmetric sectors are mathematical invariant subspaces of the specified operator.

TheoremStatement: AI-adaptedProof: AI-adaptedOpen item page →

Fixed-N Coulomb self-adjointness

Statement

Assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (ACω), The Axiom of Choice). Let N≥1 and r≥1, let m1,…,mN>0, ℏ>0, let a1,…,aM∈R3 be fixed points, and let zim,zij∈R be real coefficients (1≤i≤N, 1≤m≤M, 1≤i<j≤N). Let K be the free kinetic operator of Bounded fixed-N operator, D(K)=W2,2(R3N;C) with equivalent graph norm, and define the singular multiplier V(X):=∑i=1N∑m=1Mzim∣xi−am∣+∑1≤i<j≤Nzij∣xi−xj∣,X=(x1,…,xN)∈R3N, as an a.e.-defined real measurable function (The space Lp(μ) as the quotient by null functions). Then:

(a) each of the multipliers u↦u/∣xi−am∣ and u↦u/∣xi−xj∣ is K-bounded with K-bound zero: for every η>0 there is a finite constant Cη with ∥u∣xi−am∣∥2≤η∥Ku∥2+Cη∥u∥2,∥u∣xi−xj∣∥2≤η∥Ku∥2+Cη∥u∥2 for all u∈D(K) (Relative boundedness with respect to an operator, Weak derivative of a locally integrable function);

(b) D(K)⊆D(MV), and MV is symmetric on D(K) with K-bound zero; consequently H:=K+MV,D(H):=D(K)=W2,2(R3N;C), is self-adjoint and bounded below, and Cc∞(R3N;C) is a core for H (Kato-Rellich theorem, Symmetric, self-adjoint and essentially self-adjoint operators);

(c) the operator K⊗Ir+MV⊗Ir on L2(R3N;C)⊗Cr with domain D(K)⊗Cr is self-adjoint and bounded below;

(d) if m1=⋯=mN=m and the coefficients are permutation invariant (zim independent of i and zij independent of the pair), then the transported permutation unitaries of Permutation-restricted self-adjointness reduce H, and the restrictions of H to the symmetric and antisymmetric sectors are self-adjoint on those sectors.

No Hunziker-van Winter-Zhislin threshold statement, no uniform-in-N stability, no thermodynamic limit, no spectral statement beyond self-adjointness and boundedness from below, and no physical interpretation of H, the masses or the coefficients is asserted.

Facts & Assumptions

Given: the integers N,r≥1, masses mi>0, the constant ℏ>0, fixed points am, real coefficients zim,zij, the free kinetic operator K with domain D(K)=W2,2(R3N), the partial Laplacians Δi and the operators Ki:=−ℏ2Δi/(8π2mi) on the i-th block, and the multiplier V defined above.

[F1]

K=∑iKi is self-adjoint, positive, with D(K)=W2,2(R3N;C) and graph norm equivalent to the W2,2 norm; for every u∈D(K): ∥∇iu∥22=(8π2mi/ℏ2)⟨Kiu,u⟩≤(8π2mi/ℏ2)⟨Ku,u⟩≤(8π2mi/ℏ2)∥Ku∥2∥u∥2 by Cauchy-Schwarz in L2, and ∥Δiu∥2≤(8π2mi/ℏ2)∥Ku∥2 (Bounded fixed-N operator, Integer-order W^{k,2} and H^k agree with equivalent norms, Plancherel theorem, Integer-order Sobolev spaces and their norms, Cauchy-Schwarz inequality for L2).

[F2]

Three-dimensional Hardy inequality: for v∈W1,2(R3;C), ∥v/∣⋅∣∥2≤2∥∇v∥2 (Three-dimensional Hardy bound (c)).

[F3]

Cc∞(R3N;C) is dense in W1,2(R3N;C) and in W2,2; under Countable Choice L2 convergence supplies an a.e.-convergent subsequence, and Fatou bounds the integral of the nonnegative pointwise limit by the liminf of integrals (Compactly supported smooth functions are dense in W^{k,p}(R^n), Complex Lp completeness and almost-everywhere subsequences, Fatou's lemma, The space Lp(μ) as the quotient by null functions). Tonelli permits the nonnegative slice integrations over the sigma-finite Lebesgue product spaces (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).

[F4]

Translations preserve Lebesgue measure, and the orthogonal map (xi,xj)↦(y,z)=((xi−xj)/2,(xi+xj)/2) preserves Lebesgue measure, hence L2 norms and integrals; under it, ∂xi=2−1/2(∂z+∂y), ∂xj=2−1/2(∂z−∂y) and ∣∇yw∣2+∣∇zw∣2=∣∇iw∣2+∣∇jw∣2 (Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation, Lebesgue measure on Rn is invariant under every orthogonal linear map, Euclidean L² product unitary: L²(R^a)⊗̂L²(R^b) ≅ L²(R^{a+b}), Weak derivative of a locally integrable function).

[F5]

Kato-Rellich: if A is self-adjoint, B symmetric with D(A)⊆D(B) and A-bound less than 1, then A+B on D(A) is self-adjoint and bounded below when A is; a finite sum of A-bound-zero symmetric operators has A-bound zero (Kato-Rellich theorem, Relative boundedness with respect to an operator).

Proof

1.1F2F3F4algebra

[Global Hardy inequalities] Let u∈Cc∞(R3N) and fix a block index i and a center a∈R3. For each fixed value of the remaining coordinates the slice xi↦u(…,xi,… ) is a compactly supported smooth function on R3; [F2] gives ∫R3∣u∣2/∣xi−a∣2 dxi≤4∫R3∣∇iu∣2dxi for that slice, and integrating over the remaining coordinates by Tonelli [F3] with [F4] (translation to the center a) yields ∫∣u∣2/∣xi−a∣2≤4∫∣∇iu∣2. For a pair replace (xi,xj) by the orthogonal coordinates (y,z) of [F4]: then ∣xi−xj∣2=2∣y∣2 and, applying the same slice argument in the y-variable to the transformed function, ∫∣u∣2/∣xi−xj∣2=12∫∣u′∣2/∣y∣2≤2∫∣∇yu′∣2≤2∫(∣∇iu∣2+∣∇ju∣2). Both inequalities extend to all u∈W1,2(R3N): choose uk∈Cc∞ with uk→u and ∇uk→∇u in L2 ([F3]); the right-hand sides converge to the corresponding norms of u, while the left-hand sides are lower semicontinuous by Fatou along an a.e. convergent subsequence ([F3]).

2.1F1step 1.1algebra

[Operator-norm K-bounds] Let u∈D(K) and put a:=∥Ku∥2, b:=∥u∥2. The squared Hardy bound of step 1.1 and [F1] give ∥u/∣xi−am∣∥22≤4∥∇iu∥22≤(32π2mi/ℏ2)⟨Ku,u⟩≤(32π2mi/ℏ2)ab. For a pair, the corrected pair bound gives ∥u/∣xi−xj∣∥22≤2(∥∇iu∥22+∥∇ju∥22)≤(16π2max⁡(mi,mj)/ℏ2)⟨Ku,u⟩≤(16π2max⁡(mi,mj)/ℏ2)ab: the sum uses ⟨(Ki+Kj)u,u⟩≤⟨Ku,u⟩. For either multiplier let C be the square root of its displayed finite coefficient. For every η>0, Cab≤ηa+C2b/(4η), obtained by expanding (ηa−Cb/(2η))2≥0. Thus both actual L2 operator norms are at most η∥Ku∥2+Cη∥u∥2, with finite Cη=C2/(4η), including u=0. No form-to-operator-norm inference is used. This proves (a) for the literal Fourier-normalized K of the supplier.

3.1F1step 1.1step 2.1algebra

[Separate quadratic-form bound] The same norm Hardy and kinetic-gradient inequalities give ∥u/r∥2≤C⟨Ku,u⟩1/2 for each distance multiplier, so Cauchy–Schwarz gives ∣⟨MVu,u⟩∣≤∫∣V∣∣u∣2≤CV⟨Ku,u⟩1/2∥u∥2, where CV is the finite sum of the respective Hardy-gradient constants times ∣zim∣,∣zij∣. For every ϵ>0, Young's square inequality yields ∣⟨MVu,u⟩∣≤ϵ⟨Ku,u⟩+CV2∥u∥22/(4ϵ). In particular ⟨(K+MV)u,u⟩≥(1−ϵ)⟨Ku,u⟩−CV2∥u∥22/(4ϵ); this is a valid form bound and lower estimate, separate from the operator-norm bound of step 2.1.

3.2F5step 2.1algebra

[The full multiplier and Kato-Rellich] Since V is a finite real linear combination of the multipliers of part (a), each with K-bound zero, V is measurable and MV is a symmetric operator with D(K)⊆D(MV) and K-bound zero ([F5]); in particular the bound ∥MVu∥≤a∥Ku∥+b∥u∥ holds on D(K) for some a<1 and finite b (choose a<1 by the zero bound and adjust b). By [F5] (Kato-Rellich) H=K+MV is self-adjoint on D(K) and bounded below. Since the graph norms of H and K are equivalent on D(K) (as in Bounded fixed-N operator (b)), the core Cc∞ of K is a core for H. This proves (b).

4.1step 3.2algebra

[Component extension and permutation sectors] The passage to L2(R3N;C)⊗Cr is the finite direct sum of r copies of H and is self-adjoint and bounded below by the same argument as part (c) of Bounded fixed-N operator; this proves (c). Under equal masses and permutation-invariant coefficients, both K and the multiplier MV are invariant under the transported permutation unitaries (the weight κ and the multiplier V are permutation invariant, and the domain D(MV) is permutation invariant because the a.e.-defined function V is), so UπphysD(H)=D(H) and UπphysH=HUπphys on D(H); part (d) then follows from Permutation-restricted self-adjointness (d).

5.1step 1.1step 2.1step 3.2step 4.1algebra∎

[Conclusion and scope] Steps 1.1, 2.1, 3.1, 3.2 and 4.1 prove (a)-(d). The final paragraph of the statement records the excluded claims: no HVZ threshold, no uniform-in-N stability, no thermodynamic limit, no further spectral statement and no physical interpretation is asserted.

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Support of the spectral measure, the spectrum and the values of the scalar law

Statement

Assume the Axiom of Choice and the Axiom of Countable Choice (The Axiom of Choice, The Axiom of Countable Choice (ACω)). Let H be a nonzero complex Hilbert space (Hilbert space) and let A be a self-adjoint operator on H with spectral projection-valued measure EA on the Borel σ-algebra of R and spectrum σ(A) (Spectral theorem for unbounded self-adjoint operators (PVM form), Resolvent and spectrum of an unbounded operator). Then:

(a) EA(R∖σ(A))=0, equivalently EA(B)=EA(B∩σ(A)) for every Borel set B⊆R; and EA(U)≠0 for every nonempty relatively open subset U⊆σ(A). Thus the support of EA is exactly σ(A).

(b) For every density operator ρ on H, the scalar law μρA(B)=tr⁡(ρEA(B)) of Density operators and scalar spectral probability clause (b) satisfies μρA(B)=μρA(B∩σ(A))andμρA(σ(A))=1 for every Borel set B: no mass lies outside the spectrum.

(c) More generally, if C⊆R is a Borel set with EA(C)=0, then μρA(C)=0 for every density operator ρ, and if EA(C)=EA(R) then μρA(C)=1.

Facts & Assumptions

Given: The Axiom of Choice and the Axiom of Countable Choice (The Axiom of Choice, The Axiom of Countable Choice (ACω)); a nonzero complex Hilbert space H; a self-adjoint operator A with spectral PVM EA and spectrum σ(A); density operators ρ on H.

[F1]

Spectrum from the calculus. The spectrum of f(A) is the essential range {z∈C:EA(f−1(Bε(z)))≠0 for every ε>0} of the Borel function f with respect to EA, and for f(λ)=λ the operator f(A) is A with domain D(A); consequently, for real z, z∈σ(A) if and only if EA((z−ε,z+ε))≠0 for every ε>0 (Unbounded Borel functional calculus: domains, products, spectral mapping, Spectral theorem for unbounded self-adjoint operators (PVM form)).

[F2]

Projection-valued measure. EA takes values in orthogonal projections, EA(∅)=0, EA(R)=I, EA(B∩C)=EA(B)EA(C), and for pairwise disjoint Borel Bn with union B the series ∑nEA(Bn)x converges in norm to EA(B)x for every x (Projection valued measure).

[F3]

Monotonicity and vanishing. If B⊆C then EA(B)=EA(B)EA(C)=EA(C)EA(B) and EA(C)−EA(B)=EA(C∖B) is an orthogonal projection with range orthogonal to the range of EA(B); hence ⟨EA(B)x,x⟩≤⟨EA(C)x,x⟩ for every x. Consequently, if EA(C)=0 then EA(B)=0 for every Borel B⊆C (Projection valued measure, Scalar and complex measures from a pvm).

[F4]

Scalar law. For a density operator ρ and a PVM E the assignment B↦tr⁡(ρE(B)) is a probability measure with tr⁡(ρE(B))=∑nwn∥E(B)un∥2 in every expansion ρ=∑nwnTun,un, wn≥0, ∑nwn=1, (un) orthonormal; in particular E(B)=0 implies tr⁡(ρE(B))=0 and E(B)=I implies tr⁡(ρE(B))=1 (Density operators and scalar spectral probability clauses (a) and (b)).

Proof

1.1givenF1F2algebra

[The spectrum is the essential range of the identity] By [F1] applied to f(λ)=λ, σ(A) is the essential range of the identity with respect to EA. For real z this says: z∈σ(A) if and only if EA((z−ε,z+ε))≠0 for every ε>0; and for non-real z, taking 0<ε<∣Im⁡z∣ gives Bε(z)∩R=∅, where Bε(z):={w∈C:∣w−z∣<ε}, so EA(Bε(z)∩R)=EA(∅)=0 by [F2] and no non-real point lies in the essential range.

2.1givenstep 1.1F2F3F5algebra

[The open null set equals the complement of the spectrum] Let I be the set of pairs of rationals p<q, countable by [F5], and put V:=⋃{(p,q):(p,q)∈I, EA((p,q))=0}, a countable union of Borel sets. To see V⊆R∖σ(A), suppose z∈V∩σ(A); then z∈(p,q) with EA((p,q))=0 for some rationals p<q, and choosing ε>0 with (z−ε,z+ε)⊆(p,q) gives EA((z−ε,z+ε))=0 by [F3], contradicting z∈σ(A) by step 1.1. Conversely, if z∉σ(A), step 1.1 supplies ε>0 with EA((z−ε,z+ε))=0, and by density of the rationals [F5] there are rationals p<z<q with [p,q]⊆(z−ε,z+ε); then EA((p,q))=0 by [F3], so z∈V. Hence V=R∖σ(A).

3.1givenstep 2.1F2F3algebra

[The complement of the spectrum is null] The representation of step 2.1 writes V=R∖σ(A) as a countable union of Borel null sets. Enumerate these sets as (In), repeating ∅ if there are only finitely many, and put C0:=I0 and Cn:=In∖⋃k<nIk for n≥1. The Cn are pairwise disjoint, have union V, and satisfy EA(Cn)=0 by monotonicity [F3]. Strong countable additivity [F2] therefore gives EA(V)x=∑nEA(Cn)x=0 for every x, so EA(V)=0. By additivity [F2], this is equivalent to EA(B)=EA(B∩σ(A))+EA(B∖σ(A))=EA(B∩σ(A)) for every Borel B.

4.1step 1.1step 3.1F2F3algebra

[Nonempty relatively open subsets of the spectrum are not null] Let U⊆σ(A) be nonempty and relatively open, so U=σ(A)∩W for some open W⊆R. Choose z∈U and ε>0 with (z−ε,z+ε)⊆W. By step 1.1, EA((z−ε,z+ε))≠0 because z∈σ(A); by step 3.1 applied to the Borel set (z−ε,z+ε), EA((z−ε,z+ε))=EA((z−ε,z+ε)∩σ(A)), and (z−ε,z+ε)∩σ(A)⊆U by the choice of ε. Were EA(U)=0, monotonicity [F3] would give EA((z−ε,z+ε)∩σ(A))=0, a contradiction; hence EA(U)≠0. This proves clause (a) together with step 3.1.

4.2step 3.1F4algebra

[Clause (b)] By step 3.1 and additivity of EA, EA(B)=EA(B∩σ(A)) for every Borel B; applying the scalar law [F4] to both sides gives μρA(B)=tr⁡(ρEA(B))=tr⁡(ρEA(B∩σ(A)))=μρA(B∩σ(A)), and with B=R this reads μρA(σ(A))=tr⁡(ρEA(R))=tr⁡ρ=1 by [F4].

5.1givenF4algebra∎

[Clause (c)] If EA(C)=0 then tr⁡(ρEA(C))=0 by [F4] for every density operator; if EA(C)=I then tr⁡(ρEA(C))=tr⁡ρ=1 by [F4]. Both statements are instances of the scalar law, and clause (b) is the case C=B∖σ(A) and C=σ(A) respectively.

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Spectral measure of a real L2 multiplication operator

Statement

Assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (ACω), The Axiom of Choice). Let (X,Σ,μ) be a σ-finite measure space with μ(X)>0, let m:X→R be measurable and finite μ-almost everywhere, and on the complex Hilbert space H=L2(X,μ;C) (The space Lp(μ) as the quotient by null functions, L2 with the integral pairing is a Hilbert space, Hilbert space) let D(Mm)={f∈H:∫X∣m∣2∣f∣2 dμ<∞},Mmf=mf. Then:

(a) Mm is self-adjoint on D(Mm).

(b) The assignment E(B):=M1m−1(B) on Borel sets B⊆R is a regular projection-valued measure on the Borel σ-algebra of R (Projection valued measure), and for a unit vector ψ∈H ∥E(B)ψ∥2=∫m−1(B)∣ψ∣2 dμ.

(c) The operator identity ∫Rλ dE(λ)=Mm holds with domain D(Mm) (Integral of a measurable function against a projection-valued measure); consequently E is the spectral projection-valued measure of Mm (Spectral theorem for unbounded self-adjoint operators (PVM form)).

(d) E(B)=0 if and only if μ(m−1(B))=0, and the spectrum σ(Mm) equals the essential range of m: σ(Mm)={ t∈R:μ(m−1(t−ε,t+ε))>0 for every ε>0 }.

Facts & Assumptions

Given: The Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (ACω), The Axiom of Choice); a σ-finite measure space (X,Σ,μ); a real measurable finite μ-a.e. multiplier m; the operator Mm on H=L2(X,μ;C); Borel sets B,Bn⊆R; a unit vector ψ∈H.

[F1]

H=L2(X,μ;C) has inner product ⟨f,g⟩=∫Xfg‾ dμ, Cauchy-Schwarz holds in this Hilbert space, and m is real-valued and measurable. The density, symmetry and adjoint-domain checks for Mm are supplied locally in step 1.1 (L2 with the integral pairing is a Hilbert space, Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs, The space Lp(μ) as the quotient by null functions).

[F2]

Projection-valued measures. A PVM is a map into orthogonal projections with E(∅)=0, E(X0)=I and E(B∩C)=E(B)E(C) on its measurable space X0, strongly countably additive on disjoint unions; its scalar measures Ex(B)=⟨E(B)x,x⟩=∥E(B)x∥2 are finite positive measures (Projection valued measure, Scalar and complex measures from a pvm).

[F3]

Bounded integrals against a PVM. For bounded Borel g there is a unique operator ΦE(g) with ⟨ΦE(g)x,y⟩=∫g dEx,y; it satisfies ⟨ΦE(g)x,x⟩=∫g dEx, ∥ΦE(g)∥≤∥g∥∞, and it is multiplicative and adjoint preserving (Bounded borel pvm integral).

[F4]

Unbounded integrals. For Borel f the operator f(E) has domain D(f(E))={x:∫∣f∣2dEx<∞} and f(E)x=lim⁡nΦE(f1{∣f∣≤n})x (Integral of a measurable function against a projection-valued measure, The unbounded PVM integral is densely defined, closed and normal).

[F5]

Spectral uniqueness. A self-adjoint operator has a unique regular PVM on the Borel sets of R representing it; conversely, if a regular PVM E′ satisfies ∫λ dE′(λ)=T with domain {x:∫λ2dEx′<∞}, then E′ is the spectral PVM of the self-adjoint operator T (Spectral theorem for unbounded self-adjoint operators (PVM form)).

[F6]

Regularity of finite Borel measures on the line. Every finite Borel measure on the second-countable locally compact Hausdorff space R is regular (Locally finite Borel measures on second-countable LCH spaces are regular, Regular Borel measure on an LCH space).

[F7]

Convergence theorems. If ∣fn∣≤g with g integrable and fn→f pointwise, then ∫fn→∫f (Dominated convergence).

[F8]

Support of the spectral measure. For a self-adjoint operator with spectral PVM F one has F(R∖σ(T))=0, and F(U)≠0 for every nonempty relatively open U⊆σ(T): the support of F is the spectrum (Support of the spectral measure, the spectrum and the values of the scalar law clause (a)).

Proof

1.1givenF2F7algebra

[Self-adjoint multiplication and indicator PVM] Put Xn:={x:∣m(x)∣≤n}. For f∈H, f1Xn∈D(Mm) and f1Xn→f in H by dominated convergence, so D(Mm) is dense. For f,g∈D(Mm), Cauchy-Schwarz makes the products integrable and real-valuedness of m gives ⟨Mmf,g⟩=⟨f,Mmg⟩, so Mm is symmetric. If h∈D(Mm∗) and k:=Mm∗h, the adjoint identity holds for every f∈D(Mm). For each n take f=(mh−k)1Xn; this vector lies in D(Mm) because m is bounded on Xn, and the identity gives 0=⟨Mmf,h⟩−⟨f,k⟩=∫Xn∣mh−k∣2dμ. Thus mh=k a.e. on every Xn, and since ⋃nXn has full measure, mh=k∈H. Therefore h∈D(Mm) and Mm∗h=Mmh, so Mm=Mm∗; this proves (a). [F1, F7, algebra] For a Borel set B the class 1m−1(B) is real measurable and bounded, so multiplication by it is a bounded self-adjoint operator on H whose square is multiplication by 1m−1(B)2=1m−1(B): hence E(B)=M1m−1(B) is an orthogonal projection. Moreover E(∅)=0 and E(R)=I because m is finite μ-a.e., and E(B)E(C)=M1m−1(B)1m−1(C)=E(B∩C) because m−1(B)∩m−1(C)=m−1(B∩C) up to a μ-null set. For pairwise disjoint Borel Bn with union B the multiplicativity of classes gives ∥E(B)h−∑n≤NE(Bn)h∥2=∫∣(1B−∑n≤N1Bn)∘m∣2∣h∣2dμ for every h∈H, and the integrand is bounded by ∣h∣2 and tends to 0 pointwise, so dominated convergence [F7] makes the truncated sums converge in norm to E(B)h; thus E is strongly countably additive and is a PVM.

2.1step 1.1F2F6algebra

[Regularity] For x∈H the scalar measure of [F2] is Ex(B)=⟨E(B)x,x⟩=∫m−1(B)∣x∣2dμ, a finite Borel measure on R of total mass ∥x∥2; R is locally compact, Hausdorff and second countable, so [F6] makes Ex regular. As this holds for every x, E is a regular PVM.

2.2step 1.1F1F2F3F4F7algebra

[The integral of the identity is Mm] Let g be bounded Borel. For indicators g=1B the pairing identity ⟨ΦE(g)x,y⟩=∫g dEx,y and the scalar measures of [F2] give ⟨ΦE(1B)x,y⟩=∫m−1(B)xy‾ dμ=⟨M1B∘mx,y⟩, so ΦE(1B)=M1B∘m; by linearity of ΦE and [F3] the identity passes to simple functions, and uniform approximation with ∥ΦE(g)∥≤∥g∥∞ [F3] gives ΦE(g)=Mg∘m for every bounded Borel g. For the unbounded identity function f(λ)=λ the scalar measures give ∫λ2dEx=∫∣m∣2∣x∣2dμ, so by [F4] the domain of f(E) is exactly D(Mm), and for x∈D(Mm) the truncations satisfy f1{∣f∣≤n}(E)x=Mm1{∣m∣≤n}x by the bounded case; these converge to mx in H by dominated convergence [F7] applied to ∣m1{∣m∣≤n}−m∣2∣x∣2≤4∣m∣2∣x∣2. Hence f(E)x=Mmx on D(Mm).

3.1step 1.1step 2.1step 2.2F1F5algebra

[The spectral PVM and the scalar law] By step 2.2 the regular PVM E of step 1.1 satisfies ∫λ dE(λ)=Mm with the displayed domain, and Mm is self-adjoint by [F1]; the converse uniqueness clause of [F5] therefore identifies E as the spectral projection-valued measure of Mm. For a unit vector ψ the scalar law is ∥E(B)ψ∥2=∫m−1(B)∣ψ∣2dμ by step 2.1.

4.1step 1.1step 2.1step 3.1F2F8algebra∎

[Vanishing sets and the spectrum] If E(B)=0 then 0=∥E(B)h∥2=∫m−1(B)∣h∣2dμ for every h∈H; were μ(m−1(B))>0, σ-finiteness would give a subset A⊆m−1(B) of positive finite measure, and h=1A would give ∫m−1(B)∣h∣2dμ=μ(A)>0, a contradiction; hence μ(m−1(B))=0. Conversely, if μ(m−1(B))=0 then the multiplier 1m−1(B) vanishes as an L2 class and E(B)=0. By step 3.1, E is the spectral PVM of Mm, so [F8] identifies its support with σ(Mm); by the vanishing criterion just proved the support is the set of t with μ(m−1(t−ε,t+ε))>0 for every ε>0, namely the essential range of m. This proves (d) and completes the argument.

TheoremStatement: AI-adaptedProof: AI-adaptedOpen item page →

Transverse continuum free Fock Hamiltonian

Statement

Assume the Axiom of Countable Choice, the Axiom of Dependent Choice and the Axiom of Choice (The Axiom of Countable Choice (ACω), The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain, The Axiom of Choice). Fix a parameter α>0, define the transverse subspace h:={f∈L2(R3;C3): k⋅f(k)=0 for a.e. k} with the L2 inner product, define the bounded multiplier-valued function Π(k):=id−∣k∣−2kkT for k≠0 and Π(0):=0, and let MΠ be multiplication by Π on L2(R3;C3) (The space Lp(μ) as the quotient by null functions, Complex Lp classes and Euclidean test-function conventions). Write ε(k):=α∣k∣ and let Mε be multiplication by ε, with εh:=Mε∣h. Let F(h) be the Fock space of Hilbert direct-sum construction with sectors ran⁡P+(n), and for n≥1 define Tnψ:=εnψ,εn(k1,…,kn):=∑i=1nα∣ki∣,D(Tn):={ψ∈ran⁡P+(n):εnψ∈ran⁡P+(n)}, and T0:=0 on C. Finally put Hf:=⨁n≥0Tn,D(Hf):={ψ∈F(h): ψn∈D(Tn) for every n, ∑n∥Tnψn∥2<∞}. Then:

(a) h=ran⁡MΠ is a closed separable subspace of L2(R3;C3), invariant under Mε, and εh is a positive self-adjoint operator on h with D(εh)={f∈h:εf∈h} (Real multiplication operators and free plus bounded-potential Schrödinger operators, The Hilbert orthogonal projection onto a closed subspace, Separability: the existence of an at most countable dense subset);

(b) each Tn is a positive self-adjoint operator on the Hilbert space ran⁡P+(n) with the displayed domain (Hilbert space, Euclidean L² product unitary: L²(R^a)⊗̂L²(R^b) ≅ L²(R^{a+b}), Permutation sector projections on the n-fold tensor power);

(c) Hf is self-adjoint and positive with domain D(Hf); it commutes with every sector projection Πn (i.e. Tn maps its sector into itself);

(d) for every β>0 the bounded operator e−βHf (Spectral theorem for unbounded self-adjoint operators (PVM form), Projection valued measure) is not compact and in particular not trace class (Compact linear operator, Trace class operator); more precisely its restriction to the one-particle sector equals the multiplication operator Me−βε on h, which is not compact, and the restriction of a compact operator to a closed invariant subspace is compact.

The identification of h, ε and Hf with physical transverse photons in a chosen frame is a separate model assumption and is not asserted here; no thermal interpretation of e−βHf is claimed either.

Facts & Assumptions

Slot convention. For ℓ≥1, Sℓ acts on {0,…,ℓ−1} as in Permutation sector projections on the n-fold tensor power. On one-based tuple positions use π^(k):=1+π(k−1) for 1≤k≤ℓ. Conjugation by k↦k−1 gives πσ^=π^∘σ^ and π−1^=π^−1; thus the supplier's tensor action becomes Uπ(v1⊗⋯⊗vℓ)=vπ^−1(1)⊗⋯⊗vπ^−1(ℓ). The parameters of Uπ and sgn⁡(π) remain canonical zero-based permutations. Given: the parameter α>0, the transverse subspace h, the projection-valued multiplier MΠ, the function ε(k)=α∣k∣, the sector operators Tn, and the direct sum Hf.

[F1]

Π(k) is for k≠0 the orthogonal projection of C3 onto the orthogonal complement of k; a measurable, bounded projection-valued function defines a bounded self-adjoint projection MΠ on L2(R3;C3), with range a closed subspace (The Hilbert orthogonal projection onto a closed subspace, Real multiplication operators and free plus bounded-potential Schrödinger operators, The space Lp(μ) as the quotient by null functions).

[F2]

For a real measurable finite-valued function a on a Euclidean space, the scalar multiplier Ma with domain {f:af∈L2} is densely defined and self-adjoint (Real multiplication operators and free plus bounded-potential Schrödinger operators clause (a)). Its finite-component extension and its restriction to a reducing closed subspace are proved locally in step 1.1, using the adjoint definition Adjoint of a densely defined operator. No restriction theorem is attributed to the scalar supplier.

[F3]

Put G=L2(R3;C3). The completed tensor construction and iterated Euclidean product unitary give Θn:G⊗n⟶Ln=L2(R3n;(C3)⊗n),Θn(f1⊗⋯⊗fn)(k)=f1(k1)⊗⋯⊗fn(kn). The elementary tensor span is dense, and permutation unitaries act on tensor factors by Uπ(f1⊗⋯⊗fn)=fπ^−1(1)⊗⋯⊗fπ^−1(n); their average is the symmetric projection (Hilbert tensor construction: inner product, completion and product bases, Permutation sector projections on the n-fold tensor power, Euclidean L² product unitary: L²(R^a)⊗̂L²(R^b) ≅ L²(R^{a+b})). The corresponding transverse and symmetric projections in Ln, including the polarization-factor permutations, are constructed in step 3.1.

[F4]

For self-adjoint Tn on every sector ran⁡P+(n), including T0 on C, the direct sum is self-adjoint on {ψ:ψn∈D(Tn), ∑n∥Tnψn∥2<∞} (Hilbert direct-sum construction (f)). Here the vacuum summand is T0=0.

[F5]

Each self-adjoint Tn has a unique regular spectral PVM En, its domain is {u:∫t2 d(En)u(t)<∞}, and Tn=∫t dEn(t) (Spectral theorem for unbounded self-adjoint operators (PVM form), Projection valued measure, Integral of a measurable function against a projection-valued measure). For bounded Borel h, h(En)=ΦEn(h) and its norm and quadratic identities hold (Bounded borel pvm integral). For a real multiplier on a Euclidean L2 space, the spectral PVM is the inverse-image indicator multiplier; this applies componentwise to C3-valued functions (Spectral measure of a real L2 multiplication operator).

[F6]

Sequential characterization of compactness: a bounded operator T is compact if and only if every bounded sequence has a subsequence whose images converge in norm; hence an orthonormal sequence whose images have pairwise distances bounded below by a positive constant obstructs compactness (Sequential characterization of compact operators, Compact linear operator, The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain).

[F7]

Bump functions: for every c∈R3 and ρ>0 there is φ∈Cc∞(R3) with 0≤φ≤1, φ=1 on the ball of radius ρ/2 about c and φ=0 outside the ball of radius ρ about c (A Euclidean bump for a compact set inside an open set, Complex Lp classes and Euclidean test-function conventions).

[F8]

For nonnegative measurable gn↑g, ∫gn dμ↑∫g dμ (Monotone convergence for the integral).

[F9]

Cauchy-Schwarz in each sector Hilbert space gives ∣⟨Tnu,u⟩∣≤∥Tnu∥ ∥u∥ (Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs).

[F10]

The real space L2(R3) has a countable dense family of rational box-step functions (Rational box-step functions form a countable dense subset of Lp(Rn) for 1≤p<∞); six copies of this countable family are countable by finite iteration of A product of two at most countable sets is at most countable and give a dense family in G=L2(R3;C3) by approximating the real and imaginary parts of each component. Since MΠ is a bounded projection, the image of this dense family under MΠ is countable and dense in h=ran⁡MΠ (Finite, countably infinite, countable, uncountable, Separability: the existence of an at most countable dense subset).

Proof

1.1F2algebra

[Finite components and reducing restrictions] The scalar self-adjointness in [F2] extends to any finite number of components: the multiplication domain is the finite product of scalar domains, hence dense, and testing the adjoint identity with a vector supported in one component shows that the adjoint domain and action are exactly the componentwise multiplication domain and action. Now let A be self-adjoint, let Q be a bounded orthogonal projection with QD(A)⊆D(A) and AQx=QAx on D(A), and put K=ran⁡Q. The domain D(A)∩K is dense in K, since applying Q to approximants in the dense D(A) gives approximants in this intersection. The restriction AK is symmetric. If y∈D(AK∗) and h=AK∗y∈K, then for every x∈D(A), [F2, algebra] ⟨Ax,y⟩=⟨QAx,y⟩=⟨AQx,y⟩=⟨Qx,h⟩=⟨x,h⟩. Thus y∈D(A∗)=D(A) and Ay=h, so y∈D(AK) and AK∗y=AKy. Conversely symmetry gives AK⊆AK∗. Therefore AK is self-adjoint on exactly D(A)∩K. This argument uses the adjoint definition, not a missing clause of the scalar multiplier theorem.

2.1F1F2F10step 1.1algebra

[The transverse space] For k≠0 the matrix Π(k) is the orthogonal projection onto {v:k⋅v=0}: it is symmetric, Π(k)2=Π(k) and Π(k)v=v exactly for k⋅v=0. Extending by Π(0)=0 gives a measurable, bounded, projection-valued function, so MΠ is a bounded self-adjoint projection and h=ran⁡MΠ is a closed subspace. By [F10], the image under MΠ of a countable dense subset of G is countable and dense in its range, so h is separable. Since ε is radial, MεMΠ=MΠMε, so Mε preserves h; by step 1.1 the restriction εh is self-adjoint with domain {f∈h:εf∈h}, and it is positive because ε≥0. This proves (a).

3.1F2F3F9step 1.1step 2.1algebra

[Transverse symmetric sectors and their energy domains] Fix n≥1. The isometric inclusion h→G induces an isometric inclusion of the completed tensor powers, since the elementary inner products agree and their spans are dense. Under Θn of [F3], its closed range is that of multiplication by [F2, F3, step 1.1, step 2.1, algebra] Qn(k)=Π(k1)⊗⋯⊗Π(kn). Indeed this bounded orthogonal projection sends every elementary product to the product of its transverse projections, so its range is the closure of the transverse elementary span. Let τπ permute the factors of (C3)⊗n by the same convention as Uπ. The ambient permutation is (Cπf)(k1,…,kn)=τπf(kπ^(1),…,kπ^(n)), as follows first on elementary products and then everywhere by density. Hence Sn=(n!)−1∑πCπ is the orthogonal symmetric projection. The transverse tensor projection commutes with every permutation on elementary tensors, and hence everywhere; thus Rn=MQnSn is an orthogonal projection whose range Kn is exactly the image of ran⁡P+(n)⊆h⊗n. Denote the resulting isometry onto Kn by In. Since each τπ is unitary, every sector vector has ∥Inu(kπ^(1),…,kπ^(n))∥=∥Inu(k1,…,kn)∥ almost everywhere. This is the norm symmetry used in sector energy integrals; it does not assert invariance of each polarization component without permuting its tensor factors. The ambient finite-component multiplier An=Mεn is self-adjoint on its maximal multiplication domain by step 1.1. Its domain is preserved by MQn, since this pointwise projection is contractive and commutes with the scalar multiplier. It is preserved by every Cπ, and AnCπ=CπAn on that domain, because εn(k)=∑iα∣ki∣ is permutation invariant. Therefore Rn preserves the domain and commutes with An there. Step 1.1 makes its restriction to Kn self-adjoint on precisely {f∈Kn:εnf∈Ln}. Commutation implies that the product lies in Kn whenever it lies in Ln. Transport by In gives exactly Tn and the displayed domain of the Statement. Its pairing with a domain vector is the integral of εn∥Inψ∥2, which is nonnegative and finite by Cauchy-Schwarz [F9]. Thus Tn≥0, proving (b). For n=0, T0=0 on all of C is self-adjoint and positive.

4.1F4F9step 3.1algebra

[The free Fock Hamiltonian] By step 3.1 each Tn, including T0=0, is self-adjoint on its sector, so [F4] gives that Hf=⨁nTn is self-adjoint on the displayed domain. For ψ∈D(Hf), ⟨Hfψ,ψ⟩=∑n⟨Tnψn,ψn⟩≥0; the sum is absolutely convergent by [F9] and finite-sequence Cauchy–Schwarz applied to (∥Tnψn∥)n and (∥ψn∥)n. Since each Tn maps ran⁡P+(n) into itself, Hf commutes with every sector projection Πn. This proves (c).

5.1F2F3F4F5F8step 2.1step 3.1step 4.1algebra

[The direct-sum spectral PVM and the exponential] For each n≥0 let En be the regular spectral PVM of Tn from [F5], with E0(B)=1B(0)IC because T0=0, and define E(B):=⨁n≥0En(B). Each E(B) is an orthogonal projection, E(R)=I, and the PVM product law holds coordinatewise. Strong countable additivity follows by first restricting a vector to finitely many sectors, where it is the strong additivity of the En, and then bounding the omitted squared norm by the tail ∑n>N∥ψn∥2. Its scalar measure is Eψ(B)=∑n≥0(En)ψn(B); this finite measure given by a countable sum of sector measures is regular, since one first discards a tail of total mass ∑n>N∥ψn∥2 and then uses inner compact and outer open approximations for the finitely many remaining regular measures. For every nonnegative simple g, ∫g dEψ=∑n∫g d(En)ψn by the definition of the sum measure, and [F8] extends this identity to g(t)=t2. By [F5], this second moment is finite exactly when each ψn∈D(Tn) and ∑n∥Tnψn∥2<∞, so the domain of ∫t dE(t) is D(Hf). For ψ∈D(Hf) the bounded truncations tR(t):=t1∣t∣≤R satisfy ΦE(tR)=⨁nΦEn(tR): this follows from the definition of E for simple functions and uniform approximation for bounded Borel functions. As R→∞, these vectors converge to (Tnψn)n in norm, first on finitely many sectors by the spectral integral and then on the sector tail using ∑n∥Tnψn∥2<∞. Therefore ∫t dE(t)=Hf on precisely D(Hf); regularity and the uniqueness clause of [F5] give E=EHf. For n=1, the full-space multiplier PVM of ε(k)=α∣k∣ commutes with the transverse projection MΠ (scalar multiplication commutes pointwise with Π(k)), so its restriction to h is a regular PVM. Its scalar second moment is ∫ε(k)2∥f(k)∥2d3k, and bounded spectral truncations act as multiplication by ε1{ε≤R}, converging in norm on exactly D(εh). Thus its unbounded identity integral is T1=εh, and spectral uniqueness identifies this restricted PVM with E1. The bounded function h(t):=e−βt1[0,∞)(t) is e−βt on the nonnegative spectrum of every Tn; bounded PVM integration is coordinatewise, hence e−βHf=⨁ne−βTn and its one-particle restriction is Me−βε on h.

6.1F6F7step 5.1algebra

[Non-compactness of the one-particle multiplier] For m≥1 put cm:=2−m−2e1∈R3 and ρm:=2−m−5, and let φm be a bump as in [F7] with centre cm and radius ρm; the balls B(cm,ρm) are pairwise disjoint and contained in {∣k∣≤1/2}. Define gm:=Πφme3∈h; on B(cm,ρm) one has Π(k)e3=e3−(k3/∣k∣2)k with norm k12+k22/∣k∣≥∣k1∣/∣k∣≥(1−18)/(1+18)>1/2, so ∥gm∥≥12∥φm∥2>0; the gm have pairwise disjoint supports and hence are pairwise orthogonal. Put fm:=gm/∥gm∥; then (fm) is orthonormal and ∣e−βε(k)∣≥e−βα on every B(cm,ρm) (since ∣k∣≤1 there), so ∥Me−βεfm∥2≥e−βα and ∥Me−βεfm−Me−βεfm′∥22=∥Mfm∥22+∥Mfm′∥22≥2e−2βα for m≠m′. The bounded (indeed orthonormal) sequence (fm) therefore has no subsequence with norm-convergent images, so Me−βε is not compact by [F6].

7.1F6step 4.1step 5.1step 6.1algebra

[Non-compactness and non-trace-class of e−βHf] Suppose e−βHf were compact. The one-particle sector ran⁡Π1 is a closed subspace invariant under e−βHf (by step 4.1 and [F5]); if (xm) is a bounded sequence in it, compactness in F(h) yields a norm-convergent subsequence of (e−βHfxm), whose limit lies again in the closed invariant subspace; hence the restriction is compact. By step 5.1 the restriction is Me−βε, contradicting step 6.1. Therefore e−βHf is not compact; since every trace-class operator is compact (Trace class operator), it is not trace class. This proves (d).

8.1step 2.1step 3.1step 4.1step 5.1step 6.1step 7.1algebra∎

[Conclusion and scope] Step 2.1 proves (a), step 3.1 proves (b), step 4.1 proves (c), and steps 5.1, 6.1 and 7.1 prove (d). The closing paragraphs of the statement record that the physical photon identification and any thermal interpretation are separate model assumptions, not asserted here.

TheoremStatement: AI-adaptedProof: AI-adaptedOpen item page →

Slater direct and exchange calculation

Statement

Slot convention. For ℓ≥1, Sℓ acts on {0,…,ℓ−1} as in Permutation sector projections on the n-fold tensor power. On one-based tuple positions use π^(k):=1+π(k−1) for 1≤k≤ℓ. Conjugation by k↦k−1 gives πσ^=π^∘σ^ and π−1^=π^−1; thus the supplier's tensor action becomes Uπ(v1⊗⋯⊗vℓ)=vπ^−1(1)⊗⋯⊗vπ^−1(ℓ). The parameters of Uπ and sgn⁡(π) remain canonical zero-based permutations.

Assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (ACω), The Axiom of Choice). Let H be a complex Hilbert space with completed tensor powers H⊗n and symmetric projections P±(n) (Hilbert tensor construction: inner product, completion and product bases, Permutation sector projections on the n-fold tensor power). Then:

(a) Slater vectors: for n≥2 and orthonormal u1,…,un∈H, the Slater vector S(u1,…,un):=1n!∑σ∈Snsgn⁡(σ) uσ^(1)⊗⋯⊗uσ^(n) satisfies ∥S(u1,…,un)∥=1 and S(u1,…,un)=n! P−(n)(u1⊗⋯⊗un);

(b) exclusion: if ui=uj for some i≠j, then P−(n)(u1⊗⋯⊗un)=0 (Permutation sector projections on the n-fold tensor power (d));

(c) two orbitals, bounded pair interaction: let u,v∈L2(R3;C) be normalized and orthogonal, let W:R3→R be measurable and bounded with W(−z)=W(z) for a.e. z, let Θ:L2(R3)⊗L2(R3)→L2(R6) be the Euclidean product unitary (Euclidean L² product unitary: L²(R^a)⊗̂L²(R^b) ≅ L²(R^{a+b})), put φ±:=(u⊗v±v⊗u)/2 and D:=∫R6∣u(x)∣2∣v(y)∣2W(x−y) dx dy,X:=∫R6u(x)‾v(x)u(y)v(y)‾ W(x−y) dx dy, integrals of absolutely integrable functions. Then D,X∈R and the pair expectation of the multiplier MW in the two spatial states is ⟨MW(Θφ±),Θφ±⟩=D±X.

(d) repulsive Coulomb exchange: let κ>0, W(z)=κ/∣z∣, let u,v∈W1,2(R3;C)∩L2 be normalized and orthogonal (Integer-order Sobolev spaces and their norms, The space Lp(μ) as the quotient by null functions). The vectors Θφ± belong to D(MW): Hardy translated in the y variable and Tonelli give ∬∣u(x)v(y)∣2/∣x−y∣2≤4∥u∥22∥∇v∥22<∞, and the swapped product has the same property. Then the integrals D and X converge absolutely, 0≤D<∞, X∈R with X≥0; consequently D−X≤D+X, i.e. the antisymmetric spatial pair state has the lower expectation of the repulsive Coulomb pair interaction.

The exchange calculation is a statement about the indicated spatial vectors; it does not deduce the spin-statistics assignment of any species, and combining the spatial states with spin requires a separately stipulated symmetry rule. No physical interpretation of D, X or the states is asserted.

Facts & Assumptions

Given: orthonormal vectors u1,…,un∈H, normalized orthogonal u,v∈L2(R3;C), a bounded measurable even W, the pair multiplier MW on L2(R6), the numbers D,X, and κ>0.

[F1]

The permutation unitaries satisfy Uπ(v1⊗⋯⊗vn)=vπ^−1(1)⊗⋯⊗vπ^−1(n), P−(n)=1n!∑πsgn⁡(π)Uπ, and P−(n)(u1⊗⋯⊗un)=0 whenever two of the ui coincide; elementary tensors have norm ∥v1⊗⋯⊗vn∥=∥v1∥⋯∥vn∥ (Permutation sector projections on the n-fold tensor power, Hilbert tensor construction: inner product, completion and product bases).

[F2]

Cauchy-Schwarz and the L2 product structure: for f,g∈L2, ∥fg∥1≤∥f∥2∥g∥2, and for bounded measurable W, ∣W(x−y)∣≤∥W∥∞ (Cauchy-Schwarz inequality for L2, The space Lp(μ) as the quotient by null functions, Complex Lp classes and Euclidean test-function conventions).

[F3]

Hardy for W1,2(R3): ∥w/∣⋅∣∥2≤2∥∇w∥2 (Three-dimensional Hardy bound (c)).

[F4]

Gaussian integrals and transforms: ∫Re−s2ds=π; for t>0 the Euclidean Fourier transform of Gt(x):=e−t∣x∣2 is Gt^(ξ)=(π/t)3/2e−π2∣ξ∣2/t>0; the identity 1/r=π−1/2∫0∞s−1/2e−sr2ds for r>0 follows by the substitution s=u2/r2 (The Gaussian integral ∫−∞∞e−x2 dx=π, Euclidean Gaussian transform with the 2π normalization, Plancherel theorem).

[F5]

Tonelli for σ-finite product spaces permits the interchange of the order of integration for nonnegative measurable integrands (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).

[F6]

The Euclidean product unitary Θ satisfies Θ(f⊗g)(x,y)=f(x)g(y); because MW acts on L2(R6), the spatial pairing is ⟨MWΘ(f⊗g),Θ(f′⊗g′)⟩=∫f(x)g(y)W(x−y)f′(x)g′(y)‾ dx dy, in the inner product linear in the first argument (Euclidean L² product unitary: L²(R^a)⊗̂L²(R^b) ≅ L²(R^{a+b})). Once Tonelli establishes absolute integrability, Fubini applies separately to real and imaginary parts (Fubini's theorem for L^1 functions on a sigma-finite product).

Proof

1.1F1algebra

[Slater norm and identity] For σ,π∈Sn, the tensor inner product is ⟨uσ^(1)⊗⋯⊗uσ^(n),uπ^(1)⊗⋯⊗uπ^(n)⟩=∏i=1n⟨uσ^(i),uπ^(i)⟩ by [F1], which equals 1 if σ=π and 0 otherwise because the ui are orthonormal. Hence the n! summands of n!S are mutually orthogonal of norm 1, so ∥n!S∥2=n! and ∥S∥=1. Moreover P−(n)(u1⊗⋯⊗un)=1n!∑πsgn⁡(π)uπ^(1)⊗⋯⊗uπ^(n)=1n!S, using Uπ(u1⊗⋯⊗un)=uπ^−1(1)⊗⋯⊗uπ^−1(n) and reindexing π↦π−1. This proves (a).

1.2F1

[Exclusion] The assertion (b) is exactly [F1]'s vanishing statement for P−(n) on a tensor with two equal factors; in particular for n=2, P−(2)(u⊗u)=0.

1.3F2F6algebra

[Two-orbital expansion] Assume the hypotheses of (c). Absolute integrability of the four products ∣u(x)∣2∣v(y)∣2∣W(x−y)∣, ∣u(x)‾v(x)u(y)v(y)‾W(x−y)∣,… follows from [F2]: e.g. ∫∫∣u(x)∣2∣v(y)∣2∣W∣≤∥W∥∞∥u∥22∥v∥22=∥W∥∞ and ∫∫∣u‾v∣ ∣uv‾∣∣W∣≤∥W∥∞(∫∣uv∣)2≤∥W∥∞∥u∥22∥v∥22. Expanding the four terms in the tensor representation of [F6] gives ⟨MWΘφ±,Θφ±⟩=12[D±2Re⁡X+D′], where D′=∫∫∣v(x)∣2∣u(y)∣2W(x−y); replacing (x,y) by (y,x) and using W(x−y)=W(y−x) gives D′=D, so the expectation is D±Re⁡X. Since W is real and even, exchanging the two integration variables in X shows X=X‾, so X∈R and Re⁡X=X; the same symmetry with real W gives D∈R. This proves (c).

1.4F3F5algebra

[Absolute convergence for the Coulomb kernel] Assume the hypotheses of (d). For the direct term, by [F3] applied in the y-variable for a.e. x and Cauchy-Schwarz, ∫∣v(y)∣2/∣x−y∣ dy≤2∥v∥2∥∇v∥2<∞, so with Tonelli [F5] ∫∫∣u(x)∣2∣v(y)∣2∣x−y∣=∫∣u(x)∣2(∫∣v(y)∣2∣x−y∣dy)dx≤2∥v∥2∥∇v∥2∥u∥22<∞. For the crossed term use 2∣u(x)v(y)v(x)u(y)∣≤∣u(x)v(y)∣2+∣v(x)u(y)∣2 and the same bound to conclude ∬∣u(x)‾v(x)u(y)v(y)‾∣∣x−y∣<∞. Hence D,X are absolutely convergent and D=κ∫∫∣u∣2∣v∣2/∣x−y∣≥0.

2.1F2F4F5F6step 1.4algebra

[Gaussian positivity with only L1 data] Put f=u‾v∈L1 by [F2], with no assumption that f∈L2. Step 1.4 gives ∬∣f(x)f(y)∣/∣x−y∣<∞. The Gaussian representation [F4], Tonelli on absolute values [F5] and complex Fubini [F6] therefore give X=κπ−1/2∫0∞s−1/2Isds, where Is:=∬f(x)f(y)‾e−s∣x−y∣2dxdy. For s>0 completion of the square and the three-dimensional Gaussian integral give e−s∣x−y∣2=(4s/π)3/2∫R3e−2s∣x−z∣2e−2s∣y−z∣2dz. The triple integral of its absolute integrand is (π/(4s))3/2∬∣f(x)f(y)∣e−s∣x−y∣2dxdy≤(π/(4s))3/2∥f∥12, finite by Tonelli. Complex Fubini then yields Is=(4s/π)3/2∫R3∣∫f(x)e−2s∣x−z∣2dx∣2dz≥0. The outer integral is absolutely convergent by the first bound from step 1.4 and the Gaussian kernel identity, so X≥0 and is real. Since D≥0, the two absolutely convergent interaction expectations satisfy D−X≤D+X under the full original W1,2 hypotheses.

3.1step 1.1step 1.2step 1.3step 1.4step 2.1algebra∎

[Conclusion and scope] Steps 1.1 and 1.2 prove (a) and (b), steps 1.3 and 1.4 prove (c), and step 2.1 proves (d). The final paragraph of the statement records that the spin-statistics assignment and any physical interpretation are separate assumptions: the symmetric (+) and antisymmetric (−) spatial vectors are mathematical vectors, and combining them with spin requires a stipulated symmetry rule. This completes the proof.

TheoremStatement: AI-adaptedProof: AI-adaptedOpen item page →

Cutoff dipole relative bound

Statement

Assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (ACω), The Axiom of Choice). Let α>0, let h be the transverse space and Hf=⨁nTn the free transverse Fock Hamiltonian of Transverse continuum free Fock Hamiltonian, and let A±(g), g∈h, be the maximal creation and annihilation operators on F(h) of Closed adjoint sector domains. Fix a cutoff Λ>0 and vectors g1,…,gJ∈h (J≥1) with supp⁡gj⊆{k: 0<ε(k)≤Λ}andgjε∈h,ε(k)=α∣k∣, and define the symmetric operator ϕ(g):=A−(g)+A+(g),D(ϕ(g)):=D(Hf). Let d≥1, let Ha be a Hermitian d×d matrix, and let D1,…,DJ be Hermitian d×d matrices with operator norms ∥Dj∥ (The operator norm as the least bound and as the unit-sphere or unit-ball supremum). Then:

(a) for every Ψ∈D(Hf), ∥A−(g)Ψ∥2≤∥gε∥2⟨HfΨ,Ψ⟩,∥A+(g)Ψ∥2=∥A−(g)Ψ∥2+∥g∥2∥Ψ∥2; in particular Ψ∈D(A+(g))∩D(A−(g)) and for every η>0 there is a finite Cη with ∥ϕ(g)Ψ∥≤η∥HfΨ∥+Cη∥Ψ∥;

(b) ϕ(g) is symmetric on D(Hf) and has Hf-bound zero (Relative boundedness with respect to an operator, Symmetric, self-adjoint and essentially self-adjoint operators);

(c) the free part H0:=Ha⊗I+I⊗Hf with domain Cd⊗D(Hf) is self-adjoint on Cd⊗F(h) (Hilbert space); for every η0∈R the operator H:=H0+η0∑j=1JDj⊗ϕ(gj),D(H):=Cd⊗D(Hf), is self-adjoint on Cd⊗F(h) and bounded below (Kato-Rellich theorem, Adjoint of a densely defined operator).

The product Dj⊗ϕ(gj) and the coupling η0 carry the dimension of energy in a physical normalisation; this normalisation is a model choice and no physical statement about radiation or spontaneous emission is made here.

Facts & Assumptions

Given: the cutoff Λ>0 and vectors gj with supp⁡gj⊆{0<ε≤Λ}, the maps A±(gj) and ϕ(gj) on F(h), the free Hamiltonian Hf with sector multipliers Tn and number projections Πn, Hermitian matrices Ha,Dj on Cd, and Ψ,Φ∈D(Hf).

[F1]

A±(g) are closed operators with A+(g)=A−(g)∗ and A−(g)=A+(g)∗; on the core F0 the sector formulas (A+(g)ψ)n=nP+(n)(g⊗ψn−1) and (A−(g)ψ)n=n+1Ψg(n)(ψn+1) hold, where Ψg(n) is the contraction in the first tensor factor with coefficient ⟨⋅,g⟩ (Closed adjoint sector domains, Creation contraction bounds).

[F2]

Hf=⨁nTn is self-adjoint and positive with Tn=εn∣P+(n), εn(k1,…,kn)=∑i≤nε(ki), and ⟨HfΨ,Ψ⟩=∑n⟨εnΨn,Ψn⟩<∞ for Ψ∈D(Hf) (Transverse continuum free Fock Hamiltonian).

[F3]

Under the iterated Euclidean product unitary, h⊗m is identified with a closed subspace of L2((R3)m;(C3)⊗m); elements of ran⁡P+(m) correspond to tensor-valued functions F invariant under simultaneous momentum and polarization-factor permutations, so ∥F∥ is invariant under momentum permutations, and the energy multiplier is εm(k1,…,km)=∑i=1mε(ki). For F in its operator domain, ⟨εmF,F⟩=∑i=1m∫ε(ki)∥F(k1,…,km)∥2, and symmetry makes each integral equal to m−1⟨εmF,F⟩ (Euclidean L² product unitary: L²(R^a)⊗̂L²(R^b) ≅ L²(R^{a+b}), Hilbert tensor construction: inner product, completion and product bases, Permutation sector projections on the n-fold tensor power).

[F4]

Cauchy-Schwarz for the weighted L2 integrals in step 1.1 follows from Cauchy-Schwarz inequality for L2; Cauchy-Schwarz in the Fock Hilbert space, used for ⟨HfΨ,Ψ⟩, follows from Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs.

[F5]

For Ψ∈F0 the identity ∥A+(g)Ψ∥2=∥A−(g)Ψ∥2+∥g∥2∥Ψ∥2 holds (Closed adjoint sector domains (d)).

[F6]

Kato-Rellich: if A is self-adjoint and B is symmetric with D(A)⊆D(B) and A-bound less than 1, then A+B on D(A) is self-adjoint and bounded below when A is (Kato-Rellich theorem, Relative boundedness with respect to an operator).

[F7]

Tonelli applies to the nonnegative squared norms on the sigma-finite Lebesgue product spaces; Fubini applies to absolutely integrable scalar component pairings (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, Fubini's theorem for L^1 functions on a sigma-finite product).

Proof

1.1F1F2F3F4F7algebra

[Contraction estimate] Let Ψ∈D(Hf) and n≥0; represent Ψn+1∈ran⁡P+(n+1) by its symmetric function F under [F3]. For v∈C3 define the first-factor contraction Cv:(C3)⊗(n+1)→(C3)⊗n by Cv(a⊗b)=⟨a,v⟩b, extended linearly; finite orthonormal coordinates give ∥Cv∥≤∥v∥. The contraction is represented by the tensor-valued function G(k′)=∫Cg(k1)F(k1,k′) dk1: unweighted Cauchy–Schwarz gives integrable slices almost everywhere, Fubini identifies the pairing first for elementary tensors and then by density, and the bounded contraction formula [F1] extends the identity. Weighted Cauchy–Schwarz, tested against unit vectors of the finite-dimensional target tensor space, gives ∥G(k′)∥2≤(∫∥g(k1)∥2/ε(k1) dk1)(∫ε(k1)∥F(k1,k′)∥2 dk1); the null point k1=0 is omitted. Integrating over k′ and using the symmetry computation of [F3] gives ∥Ψg(n)Ψn+1∥2≤∥g/ε∥2⋅1n+1⟨εn+1F,F⟩=1n+1∥g/ε∥2⟨εn+1Ψn+1,Ψn+1⟩. Hence ∥(A−(g)Ψ)n∥2=(n+1)∥Ψg(n)Ψn+1∥2≤∥g/ε∥2⟨εn+1Ψn+1,Ψn+1⟩; summing over n and using [F2] gives ∥A−(g)Ψ∥2≤∥g/ε∥2⟨HfΨ,Ψ⟩.

1.2F2F3F4F6algebra

[The free part] Fix the standard orthonormal basis (ua)a=1d of Cd. The map (Ψa)a=1d↦∑aua⊗Ψa is an isometry from the finite Hilbert sum F(h)d onto Cd⊗F(h), since elementary tensors span a dense subspace and the finite sum is complete. Under this identification T:=I⊗Hf has dense domain D(Hf)d and acts componentwise. It is symmetric by [F2]. If Φ∈D(T∗) with T∗Φ=Z, testing the adjoint identity on a vector with only component a nonzero gives Φa∈D(Hf∗)=D(Hf) and Za=HfΦa for each a. Conversely symmetry gives T⊆T∗, so T=T∗ and T≥0. The matrix amplification R:=Ha⊗I is bounded and self-adjoint: its entries act by scalar multiples of the identity, its adjoint entries are the conjugate transposed entries, and finite-dimensional Cauchy–Schwarz bounds its norm. It has T-bound zero; hence [F6] makes H0=T+R self-adjoint on D(Hf)d=Cd⊗D(Hf) and bounded below by −∥R∥, also directly from T≥0 and ∣⟨RΨ,Ψ⟩∣≤∥R∥∥Ψ∥2. This componentwise adjoint argument establishes the general amplification here without applying the fixed-N kinetic-operator interface.

2.1F1F5step 1.1algebra

[The norm identity on D(Hf)] Let Ψ∈D(Hf) and let Ψ(N) be its truncations to sectors ≤N. Step 1.1 gives A−(g)Ψ(N)→A−(g)Ψ and Ψ(N)→Ψ. For N>M, χ:=Ψ(N)−Ψ(M) is in F0, so [F5] gives ∥A+(g)χ∥2=∥A−(g)χ∥2+∥g∥2∥χ∥2→0 as M,N→∞. Thus A+(g)Ψ(N) is Cauchy; closedness of A+(g) from [F1] implies Ψ∈D(A+(g)) and A+(g)Ψ(N)→A+(g)Ψ. Passing to the limit in [F5] for Ψ(N) now proves ∥A+(g)Ψ∥2=∥A−(g)Ψ∥2+∥g∥2∥Ψ∥2.

3.1F4step 1.1step 2.1algebra

[The relative bound] From steps 1.1 and 2.1, ∥ϕ(g)Ψ∥≤∥A−(g)Ψ∥+∥A+(g)Ψ∥≤2∥g/ε∥⟨HfΨ,Ψ⟩+∥g∥∥Ψ∥ for Ψ∈D(Hf); since ⟨HfΨ,Ψ⟩≤∥HfΨ∥ ∥Ψ∥ by [F4], the inequality 2ab≤ηa+η−1b with a=∥HfΨ∥, b=∥g/ε∥2∥Ψ∥ gives, for every η>0, ∥ϕ(g)Ψ∥≤η∥HfΨ∥+Cη∥Ψ∥ with Cη=η−1∥g/ε∥2+∥g∥. This proves (a) and shows the Hf-bound zero.

4.1F1step 1.1step 2.1step 3.1algebra

[Symmetry of ϕ(g)] For Ψ,Φ∈D(Hf), steps 1.1 and 2.1 put both vectors in the domains of the two closed operators, and the mutual adjointness A+(g)=A−(g)∗ of [F1] gives ⟨ϕ(g)Ψ,Φ⟩=⟨A−(g)Ψ,Φ⟩+⟨A+(g)Ψ,Φ⟩=⟨Ψ,A+(g)Φ⟩+⟨Ψ,A−(g)Φ⟩=⟨Ψ,ϕ(g)Φ⟩. By step 3.1, ϕ(g) is symmetric on the dense domain D(Hf) with Hf-bound zero, which is (b).

5.1F6step 3.1step 4.1step 1.2algebra

[Kato-Rellich] Let B:=η0∑jDj⊗ϕ(gj) with domain Cd⊗D(Hf). Since the Dj are bounded and each ϕ(gj) is symmetric with Hf-bound zero (step 4.1, step 3.1), B is symmetric and for every η>0 there are finite constants with ∥BΨ∥≤η∥HfΨ∥+Cη∥Ψ∥; as H0 differs from I⊗Hf by the bounded operator Ha⊗I, the same estimate holds with Hf replaced by H0 up to constants, so the H0-bound of B is zero and in particular less than 1. As H0 is self-adjoint (step 1.2), [F6] gives that H=H0+B is self-adjoint on Cd⊗D(Hf) and bounded below. This proves (c).

6.1step 1.1step 2.1step 3.1step 4.1step 1.2step 5.1algebra∎

[Conclusion and scope] Steps 1.1 and 2.1 prove (a), step 4.1 proves (b), and steps 1.2 and 5.1 prove (c). The final paragraph of the statement records that the normalisation of the coupling and of the dipole matrices is a model choice, and no physical radiation or emission statement is asserted. This completes the proof.

TheoremStatement: AI-adaptedProof: AI-adaptedOpen item page →

Vacuum emission Dyson convergence

Statement

Assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (ACω), The Axiom of Choice). Adopt the objects and hypotheses of Cutoff dipole relative bound: d≥1, Hermitian matrices Ha,D1,…,DJ on Cd, cutoff Λ>0, transverse vectors gj with supp⁡gj⊆{0<ε≤Λ} and gj/ε∈h, coupling η0∈R, H0:=Ha⊗I+I⊗Hf,B:=η0∑j=1JDj⊗ϕ(gj),H:=H0+B, all with domain Cd⊗D(Hf) so that H0 and H are self-adjoint on that domain. Fix ℏ>0, a unit vector va∈Cd and Ψ0:=va⊗Ω, and define the interaction-picture family V(t):=eitH0/ℏBe−itH0/ℏ(t∈R). For n≥0 and t≥0 let Ψn(t):=(1iℏ) ⁣n∫0<t1<⋯<tn<tV(tn)⋯V(t1)Ψ0 dt1⋯dtn (iterated Bochner integral in Cd⊗D(Hf); Ψ0(t):=Ψ0). Put C:=2∑j=1J∥Dj∥ ∥gj∥/ℏ and C′:=CΛ. Then:

(a) for all n≥0 and t≥0, ∥Ψn(t)∥≤(∣η0∣Ct)nn!;

(b) the vectors Ψn(t) lie in Cd⊗D(Hf), the series ∑n≥0Ψn(t) converges in the graph norm of Hf uniformly for t in compact subsets of [0,∞), and its sum Ψ(t) satisfies iℏ ∂tΨ(t)=V(t)Ψ(t),Ψ(0)=Ψ0;

(c) the Dyson sum solves the actual self-adjoint evolution: e−itH0/ℏΨ(t)=e−itH/ℏΨ0 for every t≥0;

(d) explicit tail bound: for 0≤t≤T and N≥1, ∥e−itH/ℏΨ0−e−itH0/ℏ∑n=0N−1Ψn(t)∥≤∑n≥N(∣η0∣CT)nn!.

The convergence is proved for the actual self-adjoint H on the stated domain; this is not a formal manipulation of divergent series, and no all-time weak-coupling, Markov or exponential-decay statement is made.

Facts & Assumptions

Given: the cutoff data, self-adjoint H0,H on G:=Cd⊗D(Hf), F:=I⊗Hf, B:=η0∑jDj⊗ϕ(gj), U0(t):=eitH0/ℏ, V(t):=U0(t)BU0(−t), and the vacuum initial vector. Put ∥x∥G:=∥x∥+∥Fx∥; let Km be the closed subspace with photon numbers at most m, including the atomic factor, and Gm:=G∩Km. Define the coupling-independent constant γ:=2∑j∥Dj∥ ∥gj∥, so C=γ/ℏ.

[F1]

The cutoff relative-bound theorem gives symmetry of B, its relative bound zero, and self-adjointness of H0,H on G (Cutoff dipole relative bound (a)-(c)). In particular B:G→K is bounded for the graph norm, where K=Cd⊗F(h); since H0−F is bounded, the two graph norms are equivalent.

[F2]

The sector formulas give ∥A±(g)x∥≤m+1∥g∥∥x∥ on Km, and each changes photon number by one; their sum has bound 2m+1∥g∥ (Closed adjoint sector domains (b),(c), Creation contraction bounds (a),(b)). Contraction is conjugate-linear in its vector argument and satisfies Ψg(u⊗z)=⟨u,g⟩z.

[F3]

The free field operator is the positive closed sector sum with multiplier ∑iε(ki), and HfΩ=0. Its sector projections commute with its unitary group (Transverse continuum free Fock Hamiltonian (a)-(c)). The Euclidean product identification, tensor density and permutation formulas are Euclidean L² product unitary: L²(R^a)⊗̂L²(R^b) ≅ L²(R^{a+b}), Hilbert tensor construction: inner product, completion and product bases and Permutation sector projections on the n-fold tensor power. AC supplies any DC prerequisite of the free-field supplier (AC implies DC implies countable choice).

[F4]

A finite Hermitian matrix has an orthonormal eigenbasis (Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely). A self-adjoint operator's unitary group is strongly continuous, preserves its domain and commutes with it, and is differentiable on domain vectors (A self-adjoint operator generates a strongly continuous unitary group).

[F5]

A continuous Banach-valued curve on a compact interval is Bochner integrable; its primitive has the curve as derivative, including one-sided endpoint derivatives, and the integral obeys the norm bound and linearity (Fundamental theorem of calculus for Banach-valued continuous curves, Bochner integrability criterion, Bochner integral norm inequality, Linearity of the Bochner integral). Bounded linear maps commute with such integrals: this holds for simple approximants by linearity and passes to their L1 limits by the map's norm bound.

Proof

technique · direct; prove finite-photon graph vertex bounds, integrate vertices in chronological order, sum in the graph norm and identify the resulting strong solution with the self-adjoint evolution

Given: The data of the statement and [F1]-[F5].

1.1F1F2F3F4algebra

[Free flow and vertex bounds] Diagonalizing the finite Hermitian Ha and using [F3], [F4] gives U0(t)=eitHa/ℏ⊗eitHf/ℏ. Thus U0(t) preserves each Km, commutes with F on G, and is isometric and strongly continuous for the graph norm: both U0(t)x and FU0(t)x=U0(t)Fx are continuous. On Km, the finite-sector extension of B from [F2] satisfies ∥Bx∥≤∣η0∣γm+1∥x∥ and takes values in Km+1. Its free conjugate therefore satisfies ∥V(t)x∥≤∣η0∣γm+1∥x∥. The factor ∣η0∣ is included exactly once in this bound; γ and C contain no coupling.

1.2F2F3algebraconstruct

[Cutoff commutator and graph-domain extension] For g supported in {0<ε≤Λ}, εg∈h and ∥εg∥≤Λ∥g∥. On symmetric elementary tensors with factors in D(ε), the sector multiplier and creation formula give [Hf,A+(g)]=A+(εg). For contraction the removed factor contributes −⟨εu,g⟩=−⟨u,εg⟩, so [Hf,A−(g)]=−A−(εg). These identities extend to every finite-photon graph vector, with no claim that all of F0 lies in D(Hf). Indeed, in sector n first cut each mode to ε≤R; dominated convergence in the Euclidean representation [F3] gives convergence of both the vector and its energy multiplier. On that cutoff subspace, energy is bounded by nR, so finite sums of elementary cutoff tensors, symmetrized, approximate in graph norm by tensor density. This supplies a graph core in each Gm. The field and its candidate commutator are bounded on Km by [F2], with respective bounds 2m+1∥g∥ and 2Λm+1∥g∥. Applying the core identity to a graph-approximating sequence makes the output and its energy image converge; closedness of Hf proves graph-domain preservation and the identity on the limit. Hence for x∈Gm, Bx∈Gm+1 and FBx=BFx+QBx,QB:=η0∑jDj⊗(A+(εgj)−A−(εgj)),∥QBx∥≤∣η0∣γΛm+1∥x∥.

2.1F1F2F4step 1.1step 1.2algebra

[Conjugated commutator and graph continuity] Since F commutes with U0(t), step 1.2 gives on Gm FV(t)x=V(t)Fx+Q(t)x,Q(t):=U0(t)QBU0(−t), with ∥Q(t)x∥≤∣η0∣γΛm+1∥x∥. The conjugations in Q(t) are retained. Equivalently, the sector formulas give Dj(t)=eitHa/ℏDje−itHa/ℏ and gj(t)=eitε/ℏgj, with V(t)=η0∑jDj(t)⊗ϕ(gj(t)),Q(t)=η0∑jDj(t)⊗(A+(εgj(t))−A−(εgj(t))). The same positive phase occurs in the annihilation vector argument because that argument is conjugate-linear, as in [F2]. The resulting graph bound is ∥V(t)x∥G≤∣η0∣γm+1(∥Fx∥+(1+Λ)∥x∥). Thus V(t):Gm→Gm+1 is uniformly bounded in t for these graph norms. Strong graph continuity of U0, the fixed graph-bounded B between these spaces, and the expression U0(t)BU0(−t)x show that t↦V(t)x is graph continuous. On the full G, [F1] and the graph isometry of U0 additionally give ∥V(t)x∥≤K∥x∥G for one finite K independent of t, and strong continuity as a map G→K. No global map V(t):G→G is asserted.

3.1F3step 1.1step 2.1algebrainduction

[Chronological products and their graph bounds] Define Pn(t1,…,tn):=V(tn)⋯V(t1)Ψ0, with P0=Ψ0. At the k-th vertex, the earlier product is in Gk−1, so steps 1.1 and 2.1 give a factor ∣η0∣γk in its Hilbert bound. Consequently Pn∈Gn and ∥Pn∥≤(∣η0∣γ)nn!. The graph commutator gives recursively ∥FPk∥≤∣η0∣γk(∥FPk−1∥+Λ∥Pk−1∥); since FΨ0=0, induction yields ∥FPn∥≤nΛ(∣η0∣γ)nn!. Each product is jointly continuous in its time variables for the graph norm: at each stage use strong graph continuity of the next V on a fixed vector and its uniform graph bound to control the changing previous vector. For n=0 the Hilbert bound is 1 and the energy bound is 0, including when ∣η0∣γ=0.

4.1F3F5step 3.1algebra

[Graph Bochner terms and the genuine recurrence] The graph space G is Banach: a graph-Cauchy sequence has limits of both the vectors and their F images in the Hilbert space, and closedness of F identifies them as a graph limit. Each Gn is closed in it. Step 3.1 and [F5] therefore make every iterated chronological integral a Bochner integral in Gn. Its graph and Hilbert norm bounds follow by integrating the preceding product bounds over the simplex; the volume is tn/n!, obtained recursively from ∫0tsn−1/(n−1)! ds=tn/n!. Each factor of the integral contributes 1/ℏ, giving ∥Ψn(t)∥≤(∣η0∣Ct)nn!,∥FΨn(t)∥≤nΛ(∣η0∣Ct)nn!. For n=0 these bounds mean 1 and 0. Integrating the latest vertex last gives the actual left-vertex recurrence Ψn+1(t)=1iℏ∫0tV(s)Ψn(s) ds. For fixed s, move V(s) through the inner integral as a bounded linear map Gn→Gn+1 by [F5]; the earlier vertices have times below s, with V(s) on the left. This also proves graph continuity of each term, and proves (a) and graph-domain membership in (b).

5.1step 4.1algebra

[Uniform graph convergence] Fix T<∞ and put a:=∣η0∣CT. The graph majorant is ∑n≥0(1+nΛ)an/n!. For a>0 the ratio of consecutive scalar terms tends to zero: it is a(1+(n+1)Λ)/((1+nΛ)n+1). It is eventually at most 1/2, proving convergence by a geometric tail comparison. If a=0, every positive-order term is zero and only the zeroth term remains. Thus the series converges uniformly for 0≤t≤T in the Banach graph space, and its sum Ψ(t) is graph continuous and belongs to D(H)=G.

6.1F5step 2.1step 4.1step 5.1algebra

[Integral equation and Hilbert derivative] The uniform bound ∥V(s)x∥≤K∥x∥G from step 2.1 makes V(s)∑n≤MΨn(s) converge uniformly in Hilbert norm on [0,T] to V(s)Ψ(s). This limiting curve is continuous by graph continuity of Ψ, strong continuity of V:G→K, and the same uniform bound. Sum the recurrences of step 4.1 and use the Bochner norm inequality [F5] to pass to the limit in their Hilbert integrals. The result is Ψ(t)=Ψ0+(iℏ)−1∫0tV(s)Ψ(s) ds. The Banach-valued fundamental theorem now gives Ψ∈C1([0,T];K), with the right derivative at zero, and iℏΨ′(t)=V(t)Ψ(t), Ψ(0)=Ψ0. Along with step 5.1 this proves (b); graph continuity is used for domain control, while the differential equation is a Hilbert-space derivative.

7.1F1F4step 5.1step 6.1algebra

[Identification with the self-adjoint dynamics] Put Y(t):=U0(−t)Ψ(t). It is graph continuous and belongs to D(H). The difference quotient splits into the difference of the free group on the fixed domain vector Ψ(t) and the free group times the difference quotient of Ψ, so [F4] and step 6.1 justify the product derivative in Hilbert norm. Thus iℏY′=H0Y+U0(−t)V(t)Ψ=H0Y+BY=HY and Y(0)=Ψ0. By [F1], [F4], the Stone curve e−itH/ℏΨ0 is another strong domain-valued solution because Ψ0∈G=D(H). For their difference w, symmetry of H gives ddt∥w(t)∥2=2Re⁡⟨w′(t),w(t)⟩=2Re⁡(−iℏ⟨Hw(t),w(t)⟩)=0. Both initial values agree, so w=0, proving (c) for every finite t≥0.

8.1F3F4step 4.1step 7.1algebra∎

[Tail, vacuum and zero branches] By step 7.1 and unitarity, the truncation error at time t equals in norm the interaction-picture tail, so it is at most ∑n≥N(∣η0∣Ct)n/n!; for 0≤t≤T this is at most the stated T tail, proving (d). The vacuum zeroth term has FΨ0=0 and norm one. At t=0 all positive-order integrals vanish. If η0=0, or if γ=0 (all contributing Dj or gj zero), then B=V=0, all positive-order terms vanish, the interaction-picture sum is exactly Ψ0, and the tail is zero for every N≥1. The argument supplies finite-time convergence and the actual self-adjoint evolution, with the original scope limitations retained.

TheoremStatement: AI-adaptedProof: AI-adaptedOpen item page →

Golden-rule coefficient approximate identity

Statement

Assume the Axiom of Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (ACω), The Axiom of Choice). Let ℏ>0.

(a) The golden-rule kernel. For t>0 define Kt(x):=1ℏ2t∣∫0teixs/ℏ ds∣2,x∈R. Then Kt is continuous, nonnegative and even, and for x≠0 Kt(x)=4sin⁡2(xt/(2ℏ))x2t,Kt(0)=tℏ2; moreover for every δ>0 and every x with ∣x∣≥δ, Kt(x)≤4x2t≤4δ2t,and∫RKt(x) dx=2πℏ.

(b) Approximate identity. Let J∈L1(R;C) (including real-valued functions) (Integrable real and complex functions, and their integrals, The space Lp(μ) as the quotient by null functions) and let Δ∈R. Choose a measurable representative J:R→C. Continuity at Δ means that for every ϵ>0 there is δ>0 such that ∣J(y)−J(Δ)∣<ϵ whenever ∣y−Δ∣<δ; for real-valued J this is Continuity of f:A→R at a point of A and on A: the ε-δ condition, its agreement with lim⁡x→cf(x)=f(c) at a limit point, and continuity at an isolated point, and for complex-valued J it is equivalent to continuity of its real and imaginary parts. If this condition holds, then lim⁡t→∞∫RKt(x)J(Δ+x) dx=2πℏJ(Δ) (For a complex-valued function Q:(0,∞)→C, Q(t)→L means that for every ϵ>0 there is T>0 with ∣Q(t)−L∣<ϵ for all t>T; equivalently its real and imaginary parts have the real limits in Limits at +∞ and −∞, and infinite limits at a point.)

(c) First-order emission coefficient. Adopt the objects and hypotheses of Cutoff dipole relative bound: α>0, the transverse space h=ran⁡MΠ of Transverse continuum free Fock Hamiltonian with ε(k)=α∣k∣, the cutoff Λ>0, the vectors g1,…,gJ∈h (J≥1) with supp⁡gj⊆{k: 0<ε(k)≤Λ},gjε∈h, the Hermitian d×d matrices Ha,D1,…,DJ and the coupling η0∈R. Let va,vb be orthonormal eigenvectors of Ha with real eigenvalues Ea,Eb satisfying Hava=Eava, Havb=Ebvb, and let Δ:=Ea−Eb>0. Put cj:=⟨Djva,vb⟩ (Cd inner product),M:=∑j=1Jcjgj∈h, and define the finite Borel measure νb(A):=∫R31A(ε(k)) ∥M(k)∥2 d3k,A⊆R Borel, and for t≥0 the amplitude Ab(k,t):=−iη0ℏM(k)∫0tei(ε(k)−Δ)s/ℏ ds. Then:

(i) νb is a finite Borel measure on R with νb(R∖(0,Λ])=0, and ∫Rf dνb=∫R3f(ε(k)) ∥M(k)∥2 d3k for every Borel f≥0;

(ii) Ab(⋅,t)∈h for every t≥0, and for t>0, ∥Ab(⋅,t)∥h2=η02t∫RKt(E−Δ) dνb(E). At t=0 the amplitude is zero, so its squared norm is zero; no K0 is used.

(iii) if νb=Jbλ for some Jb∈L1(λ) with Jb=0 λ-a.e. on R∖(0,Λ] and the representative Jb continuous at Δ, then for 0<Δ<Λ lim⁡t→∞1t∥Ab(⋅,t)∥h2=2πη02ℏJb(Δ); if instead Δ>Λ, then the same limit exists and equals 0. The boundary case Δ=Λ is not asserted.

Motivation and scope. In the cutoff dipole model of Cutoff dipole relative bound the vector Ab(⋅,t) is the explicit single-vertex amplitude with the atom passing from va to vb and one photon emitted; ∥Ab(⋅,t)∥2 is the corresponding first-order photon coefficient, and (iii) is the golden-rule limit of that coefficient divided by t. This item computes only the limit of the explicit coefficient, under the stated hypotheses on the spectral density Jb. It asserts no approximation of the exact model evolution, no all-time or weak-coupling limit, no Markov property and no exact exponential decay, and it reports no measurement or empirical rate. The parameter ℏ, the coupling η0 and the matrices Dj enter as mathematical normalisation data of the model; their physical identification is a separate assumption.

Facts & Assumptions

Given: the coupling data (ℏ,α,Λ,η0,gj,Ha,Dj,va,vb) of the cutoff model, the kernel Kt, a function J∈L1(λ) continuous at Δ, and the pushforward measure νb with its possible density Jb.

[F1]

For real θ, ∣eiθ−1∣2=4sin⁡2(θ/2), ∣eiθ∣=1, and ∣sin⁡∣≤1; the derivative of sin⁡ at 0 gives lim⁡a→0sin⁡(a)/a=1 (exp⁡(x+iy)=ex(cos⁡y+isin⁡y), ∣exp⁡(x+iy)∣=ex, and eiπ+1=0, The derivatives of sine and cosine are cosine and minus sine).

[F2]

Fourier/Plancherel package: for g∈L1(R) the integral transform g^(ξ)=∫g(u)e−2πiξu du is defined, on L1∩L2 it agrees with the L2 transform, and F2:L2→L2 is a unitary isometry preserving the norm (Fourier transform on complex L1 classes, Agreement of the integral and L2 transforms, Plancherel theorem).

[F3]

Every interval [0,T], T≥0, has Lebesgue measure T, so ∥1[0,T]∥22=T (A box in Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), whichever of its faces are included).

[F4]

Change of variables: if U,V⊆R are open, T:U→V is a C1 diffeomorphism and f∈L1(λ), then ∫Vf dλ=∫U(f∘T)∣T′∣ dλ (A C^1 diffeomorphism satisfies the change-of-variables formula for L^1 functions); this applies in particular to the translations x↦Δ+x and the dilations x↦−2πx of R (both with ∣T′∣ constant). The primitive −1/x and monotone convergence on bounded intervals give ∫∣x∣≥δx−2dx=2/δ for δ>0 (Every continuous function on an interval has a primitive; two primitives differ by a constant; and ∫abf=G(b)−G(a) for any primitive G, Monotone convergence for the integral).

[F5]

Measure and integral calculus: monotone convergence; additivity and linearity of the Lebesgue integral (L1 linearity, nonnegative additivity); for a nonnegative measurable f the set function A↦∫Af dμ is a measure; a measure with density h is given by (hμ)(A)=∫Ah dμ (Monotone convergence for the integral, Additivity of the nonnegative Lebesgue integral, The Lebesgue integral is linear on L1(μ), The indefinite integral of a nonnegative measurable function is a measure, The measure with density f relative to μ).

[F6]

Model objects: h={f∈L2(R3;C3):k⋅f(k)=0 a.e.} is a closed linear subspace, ε(k)=α∣k∣ is continuous, gj∈h with supp⁡gj⊆{0<ε≤Λ} and gj/ε∈h; Ha,Dj are Hermitian with va,vb orthonormal eigenvectors (Transverse continuum free Fock Hamiltonian, Cutoff dipole relative bound).

[F7]

Cauchy-Schwarz in the finite-dimensional Hilbert space CJ gives ∣∑jcjgj(k)∣2≤(∑j∣cj∣2)(∑j∥gj(k)∥2) for a.e. k, hence ∥M∥L22≤(∑j∣cj∣2)(∑j∥gj∥2)<∞ (Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs, The space Lp(μ) as the quotient by null functions).

[F8]

Use the modulus definitions of continuity and limits stated in (b); they agree with Continuity of f:A→R at a point of A and on A: the ε-δ condition, its agreement with lim⁡x→cf(x)=f(c) at a limit point, and continuity at an isolated point and Limits at +∞ and −∞, and infinite limits at a point for real functions. For complex functions the inequalities ∣Re⁡z∣,∣Im⁡z∣≤∣z∣≤∣Re⁡z∣+∣Im⁡z∣ prove equivalence with the two real-component conditions.

Proof

1.1F1algebra

[Explicit kernel and pointwise bounds] For x≠0, integrating the exponential gives ∫0teixs/ℏds=ℏ(eixt/ℏ−1)/(ix), so by [F1] Kt(x)=ℏ2∣eixt/ℏ−1∣2/(x2ℏ2t)=4sin⁡2(xt/(2ℏ))/(x2t); at x=0 the defining integral equals t and Kt(0)=t/ℏ2. With a=xt/(2ℏ) the identity 4sin⁡2(xt/(2ℏ))/(x2t)=(t/ℏ2)(sin⁡a/a)2 and [F1] give continuity at 0 and on R; Kt≥0 and Kt is even by [F1]. For ∣x∣≥δ>0 the same formula and ∣sin⁡∣≤1 give Kt(x)≤4/(x2t)≤4/(δ2t).

1.2F1F2F3F4algebra

[Kernel mass] Put T:=t/ℏ and g:=1[0,T]∈L1∩L2, ∥g∥22=T by [F3]. By [F2], g^(ξ)=∫0Te−2πiξudu satisfies ∫R∣g^∣2=∥g∥22=T. For every real x, ∫0Teixudu=g^(−x/(2π)); applying [F4] to the dilation ξ↦−2πξ of the L1 function ξ↦∣g^(ξ)∣2 gives ∫R∣g^(−x/(2π))∣2dx=2π∫R∣g^(ξ)∣2dξ=2πT. Substituting s=ℏu in the elementary integral gives ∫0teixs/ℏds=ℏ∫0Teixudu, hence ∫RKt dx=(1/(ℏ2t))⋅ℏ2⋅2πT=2π/ℏ.

1.3F5F6F7algebra

[The pushforward measure] With cj:=⟨Djva,vb⟩ and M=∑jcjgj, [F7] gives ∥M∥L22<∞ and M∈h by [F6], and supp⁡M⊆{0<ε≤Λ}. Hence for every Borel A⊆R the function k↦1A(ε(k))∥M(k)∥2 is nonnegative and measurable, so A↦νb(A):=∫R31A(ε(k))∥M(k)∥2d3k is a finite measure by [F5], with νb(R)=∥M∥L22<∞ and νb(R∖(0,Λ])=0. The identity ∫fdνb=∫f(ε(k))∥M(k)∥2d3k holds for indicators by definition, for nonnegative simple f by additivity, and for all Borel f≥0 by monotone convergence [F5]. This proves (i).

2.1F4F5F8step 1.1step 1.2algebra

[Approximate identity] Let J∈L1(λ;C) have the representative continuous at Δ specified in (b). For fixed t>0, Kt≤t/ℏ2 by the defining time integral, so Kt(x)J(Δ+x) is integrable by translation invariance, and the subtraction below is licensed by L1 linearity [F5]. Fix δ>0. By step 1.2, ∫Kt(x)J(Δ+x)dx−(2π/ℏ)J(Δ)=∫Kt(x)(J(Δ+x)−J(Δ))dx, and we split the right side at {∣x∣≥δ}. On ∣x∣<δ the bound Kt≥0 and step 1.2 give at most (2π/ℏ)sup⁡∣x∣<δ∣J(Δ+x)−J(Δ)∣; on ∣x∣≥δ, separate the two terms to obtain at most (4/(δ2t))∫∣x∣≥δ∣J(Δ+x)∣dx+∣J(Δ)∣∫∣x∣≥δ4/(x2t)dx≤4∥J∥1/(δ2t)+8∣J(Δ)∣/(δt), since ∫∣x∣≥δx−2dx=2/δ, where ∫R∣J(Δ+x)∣dx=∥J∥1 by [F4] applied to the translation x↦Δ+x. Given ε>0, continuity of J at Δ [F8] yields δ>0 with (2π/ℏ)sup⁡∣x∣<δ∣J(Δ+x)−J(Δ)∣≤ε/3, and then t large enough that 4∥J∥1/(δ2t)+8∣J(Δ)∣/(δt)<ε/3; hence the modulus of the displayed difference is <ε for all large t, which is the asserted limit 2πℏJ(Δ) [F8].

2.2step 1.1step 1.3F6algebra

[Coefficient computation] For t=0 the defining time integral is zero and Ab(⋅,0)=0. For t>0 let φt(E):=∫0tei(E−Δ)s/ℏds, so that Ab(k,t)=−(iη0/ℏ)M(k)φt(ε(k)) and ∣φt∣≤t. The function k↦−(iη0/ℏ)φt(ε(k)) is bounded and measurable, so Ab(⋅,t)∈L2(R3;C3) with ∣Ab(k,t)∣≤(∣η0∣t/ℏ)∥M(k)∥, and pointwise scalar multiplication preserves the transversality condition k⋅f(k)=0 a.e.; hence Ab(⋅,t)∈h by [F6]. Then ∥Ab(⋅,t)∥h2=(η02/ℏ2)∫R3∥M(k)∥2∣φt(ε(k))∣2d3k=(η02/ℏ2)∫R∣φt(E)∣2dνb(E) by step 1.3 with f=∣φt∣2, and ∣φt(E)∣2=∣∫0tei(E−Δ)s/ℏds∣2=ℏ2tKt(E−Δ) for every E by the definition of Kt in (a) and step 1.1; this proves (ii).

3.1F4F5step 1.1step 2.1step 1.3step 2.2algebra

[Density and the limit] Assume νb=Jbλ with Jb∈L1(λ), Jb=0 λ-a.e. on R∖(0,Λ], and Jb continuous at Δ. As in step 1.3, the identity ∫fdνb=∫fJbdλ holds for every Borel f≥0 (indicators are the hypothesis, simple functions additivity, general f monotone convergence, [F5]). Hence by step 2.2, for every t>0, 1t∥Ab(⋅,t)∥h2=η02∫Kt(E−Δ)dνb(E)=η02∫Kt(E−Δ)Jb(E)dE=η02∫Kt(x)Jb(Δ+x)dx, the last equality by the change of variables E=Δ+x [F4], the integrand Kt(⋅−Δ)Jb being bounded times L1. If 0<Δ<Λ, then step 2.1 gives lim⁡t1t∥Ab(⋅,t)∥2=η022πℏJb(Δ)=2πη02ℏJb(Δ). If instead Δ>Λ, then Jb(Δ+x)≠0 for λ-a.e. x only when Δ+x≤Λ, i.e. x≤Λ−Δ<0; on the support up to a null set one has ∣x∣≥Δ−Λ=:δ>0, so step 1.1 and ∫∣Jb(Δ+x)∣dx=∥Jb∥1 [F4] give ∣∫Kt(x)Jb(Δ+x)dx∣≤(4/(δ2t))∥Jb∥1→0, and the limit is 0. This proves (iii); the case Δ=Λ is excluded, consistently with the statement.

4.1step 1.1step 1.2step 2.1step 1.3step 2.2step 3.1∎

[Conclusion and scope] Steps 1.1 and 1.2 prove (a), step 2.1 proves (b), and steps 1.3, 2.2 and 3.1 prove (i)-(iii). The scope paragraph of the statement records that only the explicit single-vertex coefficient is treated and that no all-time, Markov, exponential-decay or empirical claim is made. This completes the proof.

5 · Examples, experiments and counterexamples

None yet.

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