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Finite quasifree CAR states and positive quadratic Bose Hamiltonians

1 · Prerequisites

2 · Summary

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

DefinitionDefinition: AI-adaptedProof: Not applicableprecheck passverified 2026-10-22 (gpt-6.1-sol)Open item page →

Finite CAR quasifree states and covariance

Definition

Let r≥1, let H1=Cr with ordered orthonormal basis e1,…,er, and let F−(H1)=⨁k=0r⋀kH1 be its finite-mode fermionic Fock space. Let Ar be the unital *-algebra generated by its annihilation and creation operators; it is finite-dimensional. Let cj,cj∗ be those operators in this basis, satisfying cicj+cjci=0,cicj∗+cj∗ci=δijI,ci∗cj∗+cj∗ci∗=0. A state is a complex-linear functional ω on Ar such that ω(I)=1 and ω(X∗X)≥0 for every X∈Ar. Define the gauge automorphism γθ by γθ(cj)=e−iθcj and γθ(cj∗)=eiθcj∗ for θ∈R; the CAR relations are preserved, so these assignments extend to a one-parameter family of algebra automorphisms. A state is gauge invariant when ω(γθ(X))=ω(X) for every X and every θ.

For a gauge-invariant state, define its one-particle covariance matrix C∈Mr(C) by Cji:=ω(ci∗cj). A finite gauge-invariant state is quasifree when C=C∗, 0≤C≤I, and its normally ordered moments obey the following rule: for p≠q, ω(ci1∗⋯cip∗cjq⋯cj1)=0, and for p=q, ω(ci1∗⋯cip∗cjp⋯cj1)=det⁡ ⁣[ω(cia∗cjb)]a,b=1p=det⁡ ⁣[Cjbia]a,b=1p. The empty moment is ω(I)=1. The inequalities 0≤C≤I mean ⟨Cv,v⟩≥0 and ⟨(I−C)v,v⟩≥0 for all v∈H1. Moments of words not in normal order are obtained by reordering with the displayed CAR relations.

For a Hermitian one-particle matrix h=h∗, a real chemical potential μ, and β>0, define dΓ(h−μI):=∑i,j=1rci∗(h−μI)ijcj,Z:=Tr⁡ ⁣(e−βdΓ(h−μI)),ρ:=Z−1e−βdΓ(h−μI). The finite grand Gibbs state has covariance C=(I+eβ(h−μI))−1. Here h and μ are in joules, β is in inverse joules, and C is dimensionless. The existence and uniqueness of the state for every Hermitian contraction C, and the displayed finite Gibbs covariance formula, are established by an earlier finite-dimensional result.

Remarks

The formula defines finite-mode quasifree states only. It does not assert Wick factorization for interacting states or an infinite-mode density operator.

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Existence, uniqueness, and Gibbs covariance for finite CAR states

Statement

Let r≥1 and let C=C∗ be an r×r matrix with 0≤C≤I. There is a unique finite density operator ρC on F−(Cr) whose state is gauge-invariant quasifree with covariance C in the convention Cji=Tr⁡(ρCci∗cj). If h=h∗, μ∈R, and β>0, then the finite Gibbs density ρh,β,μ:=e−βdΓ(h−μI)Tr⁡(e−βdΓ(h−μI)) is quasifree and equals ρC for C=(I+eβ(h−μI))−1.

Facts & Assumptions

Given: An integer r≥1, the finite CAR Fock space with its ordered occupation basis, a Hermitian contraction C, and, for the Gibbs assertion, a Hermitian h, real μ, and β>0.

[F1]

Finite CAR quasifree states and covariance: gauge invariance means invariance under cj↦e−iθcj; the covariance convention is Cji=ω(ci∗cj); the quasifree moment rule is the determinant of these two-point functions for normally ordered equal-number products and zero for unequal-number products.

[F2]

Occupation bases and actual CCR/CAR domains: for the finite mode set {1,…,r}, occupations m∈{0,1}r label a complete orthonormal basis, and the creation and annihilation operators act by the displayed CAR shifts on it.

[F3]

Finite matrix spectral and state calculus: every finite Hermitian matrix has an orthonormal eigenbasis with real eigenvalues; its spectral functions are basis-independent, and the finite matrix trace is invariant under unitary change of basis.

Proof

1.1givenF2F3algebra

By [F3], write C=Vdiag⁡(ν1,…,νr)V∗ with V unitary and 0≤νj≤1 . On the exterior-power decomposition define Γ−(V):=⨁k=0r⋀kV ; each summand is unitary, so Γ−(V) is unitary: inner products of simple exterior products are determinants of their Gram matrices, and V preserves each Gram matrix. In the occupation basis for the eigenmodes, define wj(0):=1−νj and wj(1):=νj , and define the product density ρD by ρD∣m⟩=(∏j=1rwj(mj))∣m⟩,m∈{0,1}r. Each diagonal entry is nonnegative and the sum of the entries is ∏j((1−νj)+νj)=1 , so ρD is positive with trace one. Set ρC:=Γ−(V)ρDΓ−(V)∗ .

2.1givenF2F3step 1.1algebra

For the Gibbs assertion, diagonalize h=Wdiag⁡(ϵ1,…,ϵr)W∗ by [F3], and set d=W∗c in column notation. Exterior multiplication by ej is cj∗, so the exterior-power definition in step 1.1 gives Γ−(W)cj∗Γ−(W)∗=∑iWijci∗=dj∗; taking adjoints gives Γ−(W)cjΓ−(W)∗=dj. Thus the eigenmode occupation basis is ∣m⟩W:=Γ−(W)∣m⟩, and dj∗dj∣m⟩W=mj∣m⟩W by [F2]. Substitution of c=Wd gives dΓ(h−μI)=∑j(ϵj−μ)dj∗dj, hence dΓ(h−μI)∣m⟩W=(∑j=1r(ϵj−μ)mj)∣m⟩W. Therefore the positive exponential has eigenvalues ∏jqjmj, where qj=e−β(ϵj−μ)>0, and its finite trace is Z=∏j=1r(1+qj)∈(0,∞). In this basis the normalized density is a product Bernoulli density with occupation probabilities pj=qj/(1+qj)=(1+eβ(ϵj−μ))−1; in the original basis it is Γ−(W)ρdiag⁡(p)Γ−(W)∗, with the diagonal product density defined as in step 1.1.

2.2F1F2step 1.1algebra

The density ρD is diagonal in the occupation basis, so its state is invariant under the global gauge rotation. For a normally ordered monomial, repeated creation or annihilation indices give zero by the CAR. If the distinct creator and annihilator index sets differ, the monomial changes an occupation vector and has zero diagonal expectation. If the sets agree at S , the CAR relations reorder the product to its permutation sign times ∏j∈Scj∗cj ; its product-state expectation is that sign times ∏j∈Sνj . The determinant of the diagonal two-point matrix has exactly the same value: it is zero for unequal index sets and, for equal sets S , is the permutation sign times ∏j∈Sνj . Thus ρD obeys the quasifree moment rule with diagonal covariance diag⁡(ν1,…,νr) . Moreover, every ci is a linear combination of the eigenmode annihilators and every ci∗ is the corresponding conjugate linear combination. Expanding a normal-ordered product and using multilinearity of the determinant carries the Wick rule to covariance Vdiag⁡(ν1,…,νr)V∗ . The unitary Γ−(V) commutes with total particle number, so it preserves gauge invariance. Hence ρC has the required covariance and moments.

3.1F1F2step 2.2algebra

The CAR relations reorder any word in the generators into a linear combination of normally ordered monomials. These monomials determine the functional on the full finite matrix algebra: the vacuum projection is P0=∏j=1r(I−cj∗cj) , and for any two occupation subsets S,T , the operator obtained by creating the modes in S , applying P0 , and annihilating the modes in T is a nonzero scalar multiple of ∣S⟩⟨T∣ . Expanding P0 and reordering with CAR expresses each such matrix unit as a linear combination of normally ordered monomials. Since these matrix units span the full algebra, no two states can have the same stated moments unless they are equal. This proves uniqueness of ρC .

4.1F1F3step 2.2step 3.1step 2.1algebra∎

The product density in the eigenmode basis obeys the determinant moment rule proved in step 2.2. Its covariance is Wdiag⁡(p1,…,pr)W∗ by the convention [F1], and the finite spectral calculus [F3] identifies this matrix with (I+eβ(h−μI))−1 . Uniqueness from step 3.1 identifies the Gibbs density with ρC . All sums are finite-mode sums; no infinite-mode implementability or thermodynamic limit is involved.

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Entropy and mode restrictions of finite quasifree CAR states

Statement

Let r≥1, let C=C∗ be an r×r matrix with 0≤C≤I, and let ρC be the finite gauge-invariant quasifree density with covariance C from the preceding construction. Use dimensionless entropy in nats and the convention 0ln⁡0:=0. Then S(ρC)=−Tr⁡Cr ⁣(Cln⁡C+(I−C)ln⁡(I−C)).

Let K be any nonzero linear subspace of Cr, let PK be its orthogonal projection, and put CK:=PKC∣K. Choose an ordered orthonormal basis of K followed by one of K⊥. The exterior-power unitary identifies the full occupation basis with the tensor product of the two ordered occupation bases; let ρK be the partial trace of ρC over the K⊥ factor in that order. Then the restricted state is gauge-invariant quasifree with covariance CK, and S(ρK)=−Tr⁡K ⁣(CKln⁡CK+(IK−CK)ln⁡(IK−CK)). Both formulas include covariance eigenvalues 0 and 1. Changing the orthonormal basis of K conjugates the reduced density and compressed covariance by the induced unitary on the retained factor. Changing the basis of K⊥ changes only the traced factor, and the partial trace is invariant under that unitary conjugation. Thus neither entropy depends on these choices.

Facts & Assumptions

Given: The finite CAR Fock space on Cr, a Hermitian contraction C, its density ρC, and a nonzero subspace K⊆Cr. Use the displayed mode order and the natural logarithm.

[F1]

Finite CAR quasifree states and covariance: the covariance convention is Cji=ω(ci∗cj); the state is gauge invariant; its normally ordered equal-creator/annihilator moments are the determinants of the two-point matrix, and unequal-number moments vanish.

[F2]

Existence, uniqueness, and Gibbs covariance for finite CAR states: every finite Hermitian contraction C has a unique such density, unitarily equivalent to the product occupation density with probabilities νj and 1−νj for the eigenvalues νj of C.

[F3]

Dimensionless entropy, mutual and conditional information: finite density entropy is −Tr⁡(ρln⁡ρ) in nats, with 0ln⁡0:=0; the partial trace contracts the second ordered tensor factor and retains the first.

[F4]

Occupation bases and actual CCR/CAR domains: the finite fermionic occupation vectors form an orthonormal basis, and the CAR shifts give the creation/annihilation action and its parity signs.

[F5]

Finite matrix spectral and state calculus: finite Hermitian matrices have orthonormal eigenbases, spectral functions are basis-independent, and the finite trace is invariant under unitary conjugation.

[F6]

Every finite-dimensional real or complex inner product space has an orthonormal basis: every finite-dimensional subspace and its orthogonal complement admit orthonormal bases.

Proof

1.1givenF2F5algebra

By [F5], write C=Vdiag⁡(ν1,…,νr)V∗ with V unitary and νj∈[0,1] . By [F2], after conjugation by the induced exterior-power unitary, ρC is diagonal on the occupation basis with probabilities pm=∏jwj(mj) , where wj(0)=1−νj and wj(1)=νj . These probabilities sum to one because ∑m∈{0,1}rpm=∏j((1−νj)+νj)=1 .

1.2F1F2F3F4F6algebra

Choose the ordered orthonormal bases of K and K⊥ using [F6]. The map from the full occupation vector to the tensor product of its K -occupation and K⊥ -occupation vectors sends one orthonormal basis onto another, hence extends to a unitary factorization. Because the K modes come first, their creation and annihilation operators act on the first factor as cjK⊗I ; the CAR parity signs from preceding modes are therefore entirely within that first factor. The partial trace over K⊥ has the same expectation as ρC for every word in the K modes. Restricting the determinant rule [F1] to those words gives the compressed covariance CK=PKC∣K and the quasifree moment rule; gauge invariance is inherited under restriction. Thus ρK is the unique quasifree density for CK by [F2].

2.1F2F3F5step 1.1algebra

Unitary conjugation preserves the eigenvalues, so the entropy is −∑mpmln⁡pm , with zero terms omitted under [F3]. When 0<νj<1 , expand ln⁡pm=∑j[mjln⁡νj+(1−mj)ln⁡(1−νj)] and sum the finite product distribution; its j th occupation has mean νj . The result is −∑j[νjln⁡νj+(1−νj)ln⁡(1−νj)] . If νj=0 or 1 , that mode has a deterministic occupation and contributes zero by [F3], which is the same formula with 0ln⁡0=0 . Spectral calculus for C and I−C now identifies this sum with the displayed matrix trace.

3.1F2F3step 2.1step 1.2algebra∎

Apply the calculation of step 2.1 to the finite quasifree density ρK and its positive contraction CK . The same endpoint convention 0ln⁡0=0 handles pure or rank-deficient reduced states. A change of orthonormal basis in K conjugates ρK by the induced unitary and CK by the corresponding matrix unitary, so [F3] makes the trace entropy unchanged. A change of basis in K⊥ conjugates only the traced factor; for a unitary matrix U on that factor, the partial-trace entry sum in [F3] contains ∑jUjaUjb‾=δab , so ρK is unchanged. This proves the restriction formula and its basis independence.

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Finite positive quadratic canonical operators and diagonalization data

Definition

Assume the Axiom of Choice and Countable Choice. Fix an integer r≥1, an action scale ℏ>0 in joule-seconds, and the finite-mode Fock-to-Schrödinger unitary U:Fs(Cr)→L2(Rr). In Schrödinger coordinates, let S(Rr) be the Schwartz space {f∈C∞(Rr):sup⁡x∈Rr∣xα∂γf(x)∣<∞ for every α,γ∈N0r}. Here N0 denotes the nonnegative integers, xα=∏jxjαj, and ∂γ=∏j∂xjγj. Use the dense domain D:=U−1S(Rr) and define on it the operators Qj and Pj by transporting multiplication by ℏ xj and differentiation −iℏ ∂xj through U. Thus, for f∈S, (QjU−1f)=U−1(ℏ xjf) and (PjU−1f)=U−1(−iℏ ∂xjf). Use the commutator convention [A,B]=AB−BA on common invariant domains. These quadratures satisfy [Qj,Pk]=iℏδjkI on D and have units joule⋅second. Each product Hermite function is a polynomial times a Gaussian; all its derivatives and polynomial multiples remain a polynomial times that Gaussian and are bounded on Rr. Thus the complete product Hermite family lies in S, so D is dense. The finite-mode Fock-to-Schrödinger supplier establishes completeness and the quadrature actions used here. Reorder the quadrature column to grouped order Rg:=(Q1,…,Qr,P1,…,Pr)T.

A finite positive quadratic canonical operator is specified by a real symmetric matrix G∈M2r(R) with xTGx>0 for every x≠0, and a real constant c. The coefficient G has units of inverse seconds and c has units of joules. On D define the symmetrically ordered operator HG,c(0):=14∑a,b=12rGab(Rg,aRg,b+Rg,bRg,a)+cI. The real multiplication and derivative operators preserve Schwartz space, so this finite sum maps D into Fs(Cr). Integration by parts makes each Qj,Pj symmetric on D. For f,g∈D, symmetry and invariance of D give ⟨Rg,aRg,bf,g⟩=⟨Rg,bf,Rg,ag⟩=⟨f,Rg,bRg,ag⟩; the same identity with a,b interchanged proves that each symmetrized summand is symmetric. Since Gab=Gba∈R, the finite sum is symmetric. Its quadratic coefficients are strictly positive in the stated matrix sense. The statement does not yet assert that this symmetric operator is self-adjoint.

In grouped coordinates set Jg:=(0Ir−Ir0),Dω:=diag⁡(ω1,…,ωr,ω1,…,ωr). A finite diagonalization certificate for G consists of matrices U,V∈Mr(C) and positive angular frequencies ωj>0 in inverse seconds such that, with ∗ denoting conjugate transpose and T transpose without conjugation, UU∗−VV∗=Ir,UVT=VUT, Sg:=(Re⁡(U+V)−Im⁡(U−V)Im⁡(U+V)Re⁡(U−V)),SgTJgSg=Jg,SgTGSg=Dω. This certificate is explicit finite-dimensional data. No claim is made here that every positive G has such a certificate; the theorem on this page uses it as a stated hypothesis. Each term in HG,c(0) has units of joules because Qj and Pj have units joule⋅second.

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Certified positive finite quadratic Bose Hamiltonian is normalizable

Statement

Assume the Axiom of Choice and Countable Choice. Let r≥1, ℏ>0 in joule-seconds, β>0 in inverse joules, c∈R in joules, and let G=GT be a strictly positive real 2r×2r matrix whose entries have units of inverse seconds. Assume (U,V,ω1,…,ωr) is a finite diagonalization certificate for G as defined earlier, with each ωj>0 in inverse seconds. Let HG,c(0) be the symmetric quadratic operator on the stated Schwartz domain. Then its graph closure H:=HG,c(0)‾ exists and is self-adjoint, and its finite-mode Gibbs partition sum is Zβ:=Tr⁡(e−βH)=e−βc∏j=1r[2sinh⁡ ⁣(βℏωj2)]−1∈(0,∞),sinh⁡x:=ex−e−x2. The matrix G acts on the finite grouped quadratures; the bosonic Fock space remains infinite-dimensional at each r≥1. This conditional finite-mode conclusion neither proves that every positive G has a diagonalization certificate nor asserts infinite-mode implementability, interacting depletion bounds, or superfluidity.

Facts & Assumptions

Given: The constants, finite mode count, positive matrix, positive frequencies, and explicit diagonalization certificate in the Statement. Assume both Choice principles there.

[A1]

The Axiom of Choice and The Axiom of Countable Choice (ACω): adopt both Choice principles, with Countable Choice used for the diagonal occupation basis and trace carrier.

[A2]

The diagonalization certificate fixes matrices U,V satisfying UU∗−VV∗=Ir and UVT=VUT, with grouped symplectic matrix Sg and SgTGSg=Dω as defined in Finite positive quadratic canonical operators and diagonalization data. Every ωj is strictly positive.

[F1]

Finite positive quadratic canonical operators and diagonalization data: HG,c(0) is the symmetrically ordered quadratic in grouped quadratures on U−1S(Rr), and the certificate uses Dω=diag⁡(ω1,…,ωr,ω1,…,ωr).

[F2]

Finite Bogoliubov implementability: under AC, r≥1, ℏ>0, and the two displayed identities for U,V, there is a unitary implementer M with M∗RgM=SgRg on the transported Schwartz core. Its authored finite-mode statement makes no infinite-mode claim.

[F3]

Finite symplectic implementation by quadratic generators: every real finite symplectic matrix has a normalized implementer whose restriction is a continuous bijection of Schwartz space, and any other Weyl implementer of the same matrix differs by a scalar phase. Only the stated finite-mode action is used here.

[F4]

Finite-mode Fock to Schrödinger identification: the product Hermite functions are a complete orthonormal basis and the finite-mode quadratures act on them as ℏ xj and −iℏ ∂xj. The proof uses this exact basis and core interface.

[F5]

Explicit diagonal Fock domains and occupation trace: under Countable Choice, for a finite bosonic mode set with energies ϵj and qj=e−βϵj satisfying 0<qj<1, q∗<1, and ∑jqj<∞, the diagonal multiplier ∑jϵjnj is self-adjoint on its maximum weighted ℓ2 domain and Tr⁡(e−β∑jϵjNj)=∏j(1−qj)−1.

[F6]

Trace of a positive operator is the sum of its eigenvalues: for a positive trace-class operator, the trace is the sum of its positive eigenvalues with multiplicity and equals its trace norm.

[F7]

Adjoint of a densely defined operator: g∈D(B∗) exactly when f↦⟨Bf,g⟩ is bounded on the dense domain D(B) in the ambient Hilbert norm; then B∗g is the representing vector.

[F8]

Densely defined, closed and closable operators, and cores: the graph norm of B is (∥f∥2+∥Bf∥2)1/2, a core for a closed operator is a subdomain dense in that norm, and graph closure is taken in the product Hilbert space.

[F9]

Unbounded Borel functional calculus: domains, products, spectral mapping: for self-adjoint B with spectral measure E, a Borel function u defines u(B)=u(E) by spectral functional calculus on the domain D(u(B))={f:∫R∣u(x)∣2 dEf(x)<∞}, where Ef(A):=⟨E(A)f,f⟩ for each Borel set A⊆R. In particular the Borel function u(x)=e−βx acts on an eigenvector of eigenvalue λ by e−βλ. This function is unbounded on R; its boundedness on the spectra used here is established in step 7.1.

[F10]

Trace class operator, Absolute value and singular values of a compact operator, and Positive square root of a compact positive operator: trace-class is summability of singular values. For α>0, ∣αB∣=α∣B∣; for unitary M, ∣MBM∗∣=M∣B∣M∗, by uniqueness of the positive square root. Thus positive scalar multiples and unitary conjugates of a trace-class operator remain trace class, with the scalar multiple scaling all singular values by α and the unitary conjugate preserving them.

Proof

1.1A1A2F2F3givenalgebra

By [F2], the certificate's matrices give a unitary M satisfying M∗RgM=SgRg on the common transported Schwartz core. By [F3], we may take this implementer to preserve Schwartz space: its normalized metaplectic implementer has that property, and multiplying by a scalar phase leaves M∗RgM unchanged.

2.1A2F1step 1.1algebra

Conjugating each symmetrically ordered term of HG,c(0) by M replaces Rg by SgRg . Collecting the finite sums gives M∗HG,c(0)M=14∑a,b(SgTGSg)ab(Rg,aRg,b+Rg,bRg,a)+cI. By [A2] this is the diagonal quadratic with coefficient Dω on the same core.

3.1F1F4step 2.1algebra

On the finite Hermite core put aj=(Qj+iPj)/2ℏ and aj∗=(Qj−iPj)/2ℏ . The relation [Qj,Pj]=iℏI gives Qj2+Pj2=2ℏ(aj∗aj+12I) by direct multiplication. Consequently the diagonal quadratic is ∑jℏωj(aj∗aj+12I)+cI . Write gn∈L2(Rr) for the product Hermite basis and set ϕn:=U−1gn∈Fs(Cr) . Then Uϕn=gn , and the diagonal quadratic has eigenvalue En=c+∑jℏωj(nj+12) . Denote this diagonal differential expression on S by T~ω(0) , and its Fock-space transport on D by Tω(0):=U−1T~ω(0)U .

4.1A1F5F7F8step 3.1algebra

Put ϵj=ℏωj and let A be the maximal diagonal multiplier in the basis (ϕn) with eigenvalues ∑jϵjnj . By [F5], A is self-adjoint on the domain where ∑n∣∑jϵjnj∣2∣fn∣2<∞ . The diagonal operator with eigenvalues En is A+c0I , where c0=c+12∑jϵj . Its domain is the same: for real x,c0 , ∣x+c0∣2≤2∣x∣2+2∣c0∣2 and ∣x∣2≤2∣x+c0∣2+2∣c0∣2 , and each coefficient sequence (fn) is in ℓ2 . For g∈D((A+c0I)∗) , [F7] says that boundedness of f↦⟨(A+c0I)f,g⟩ and boundedness of f↦c0⟨f,g⟩ imply boundedness of f↦⟨Af,g⟩ . Thus g∈D(A∗)=D(A) and (A+c0I)∗g=Ag+c0g . Conversely, every g∈D(A) satisfies this adjoint identity, so T=A+c0I is self-adjoint. Finite Hermite truncations converge in its graph norm, because the tail of ∑n(1+∣En∣2)∣fn∣2 tends to zero. Thus finite Hermite sums are a core for T in the graph norm of [F8].

5.1F1F4F8step 3.1step 4.1algebra

For ψ∈D , put f=Uψ∈S . The coordinate expression T~ω(0) sends f to an L2 function. Integration by parts against each Schwartz Hermite function gives ⟨Tω(0)ψ,ϕn⟩=En⟨ψ,ϕn⟩ ; equivalently, this is the L2 pairing of the differential expression on f with gn=Uϕn . Boundary terms vanish because both functions are Schwartz. For every finite set F of occupation indices, orthogonal projection therefore gives ∑n∈F∣En⟨ψ,ϕn⟩∣2≤∥Tω(0)ψ∥2 . These coefficients are square-summable, and completeness of (ϕn) from [F4] identifies their vector with Tω(0)ψ . Hence D⊆D(T) and the diagonal expression is T on D . The finite Hermite sums from step 4.1 lie in D because [F1] places each gn in S , and are graph-norm dense in D(T) ; so the graph closure of this restriction is T.

6.1F8step 1.1step 2.1step 5.1algebra

By step 1.1, M and M∗ preserve Schwartz space, and by step 2.1 HG,c(0)=MTω(0)M∗ there. Step 5.1 gives graph closure T for the diagonal restriction. Conjugation by the unitary M carries the graph and its closure in Fs⊕Fs to the graph and closure of HG,c(0) , so H=HG,c(0)‾=MTM∗ . This is self-adjoint because T is self-adjoint and M is unitary.

7.1A1F4F5F6F9F10step 4.1step 5.1step 6.1algebra∎

Set qj=e−βϵj=e−βℏωj . Since β>0 and every ωj>0 , 0<qj<1 ; the mode set is finite, so q∗<1 and ∑jqj<∞ . Apply [F5] to the diagonal number-energy operator A to get Tr⁡(e−βA)=∏j(1−qj)−1<∞ . On the occupation basis, T has eigenvalues En=c0+∑jϵjnj≥c0. Its spectral measure is supported on these eigenvalues because this basis is complete. Hence e−βx≤e−βc0 on that support, so its spectral exponential is bounded and everywhere defined, with positive eigenvalues e−βEn=e−βc0∏jqjnj by [F9]. Thus e−βT=e−βc0e−βA on the occupation basis; [F10] and the trace-class conclusion for e−βA from [F5] show that e−βT is positive trace class. Its eigenvalue sum is e−βc0∏j(1−qj)−1<∞ by [F5], so [F6] identifies that sum with its trace. By steps 6.1 and 5.1, the vectors Mϕn form a complete orthonormal eigenbasis for H with the same eigenvalues; equivalently e−βH=Me−βTM∗ . The unitary invariance in [F10] makes e−βH trace class with the same eigenvalue sum, and [F6] gives the same trace. Finally, e−βc0∏j(1−e−βℏωj)−1=e−βc∏je−βℏωj/21−e−βℏωj=e−βc∏j[2sinh⁡ ⁣(βℏωj2)]−1. Every factor is strictly positive and finite, proving Zβ∈(0,∞) . The only infinite-dimensional Hilbert space used here is the bosonic Fock space for the stated finite number r of modes.

Remarks

The proof uses the finite-mode quadrature conventions of Finite-mode quadratures and symplectic data, the occupation and Hermite core identification of Finite-mode Fock to Schrödinger identification, the individual Bogoliubov implementer of Finite Bogoliubov implementability, and the Schwartz-preserving normalized implementer of Finite symplectic implementation by quadratic generators at the exact interfaces in [F1]–[F4]. These are mathematical supplier uses; the theorem remains conditional on its explicit diagonalization certificate and hypotheses. Run-readiness records are separate operational evidence and are not mathematical premises or independent proof approval.

5 · Examples, experiments and counterexamples

None yet.

Sources