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TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedverified 2026-10-22 (gpt-6.1-sol)
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Gaussian covariance and uncertainty

Statement

Assume AC, r≥1, ℏ>0, and the quadrature, density-operator, characteristic-function, and covariance definitions of Finite-mode quadratures and symplectic data. For every density operator with finite quadrature second moments, V+iℏJ/2⪰0. If S is symplectic and MS is any individual implementer with MS∗RMS=SR on the quadrature domains, then for ρS=MSρMS∗ its mean and covariance are dS=Sd,VS=SVST, and χρS(z)=χρ(STz). Conversely, for every real vector d∈R2r and real symmetric matrix V, the function χ(z)=exp⁡ ⁣(izTd−12zTVz) is the Weyl characteristic function of a finite-mode density operator if and only if V+iℏJ/2⪰0. This is a conditional mathematical existence result for the stated finite-mode model; it is not an experimental claim.

Facts & Assumptions

Given: AC, finite r≥1, ℏ>0, the self-adjoint quadratures and Weyl system, and a density operator with the finite second-moment condition. Inner products are linear in the first argument as in Finite-mode quadratures and symplectic data.

[A1]

AC is adopted for the density spectral expansion and the finite-dimensional Stone–von Neumann interface; it supplies the Countable Choice hypothesis of the spectral expansion (The Axiom of Choice, The Axiom of Countable Choice (ACω)).

[A2]

The input density operator has finite quadrature second moments in the definition Finite-mode quadratures and symplectic data.

[F1]

A density operator has an orthonormal eigen-expansion ρ=∑nwn∣ψn⟩⟨ψn∣ with wn>0 and ∑nwn=1; the definitions of d,V are the convergent weighted quadrature forms in that expansion (Density operators and scalar spectral probability, Finite-mode quadratures and symplectic data).

[F2]

Schwartz functions are dense in the joint quadrature graph norm ∥f∥2+∑j(∥xjf∥2+∥∂jf∥2) (Schwartz density in the joint quadrature graph norm); the quadrature CCR hold on this core (Finite-mode quadratures and symplectic data).

[F3]

Every finite symplectic map has an individual unitary implementer, Schwartz space is invariant under its quadratic generator factors, and the bounded Weyl covariance holds everywhere (Finite symplectic implementation by quadratic generators).

[F4]

The finite Bogoliubov theorem supplies the same Weyl and quadrature covariance for transformations expressed by finite matrices U,V obeying the displayed CCR identities. Explicitly, if Π sends interleaved coordinates to grouped coordinates and Sg is that theorem's grouped matrix, the matrix used with R,J,W here is S=ΠTSgΠ: M∗RM=SR and M∗W(z)M=W(STz) (Finite Bogoliubov implementability).

[F5]

Every real symmetric positive definite V has a symplectic Williamson factorization V=SDST, and V+iℏJ/2⪰0 is equivalent to all diagonal entries νj of D being at least ℏ/2 (Positive definite Williamson normal form).

[F6]

Dominated convergence applies to measurable pointwise-convergent functions dominated in absolute value by one integrable function; this includes uniformly bounded functions on a probability space (Dominated convergence).

[F7]

Every strongly continuous one-parameter unitary group has a unique self-adjoint generator, characterized by differentiability at zero (Stone's theorem: unitary groups and self-adjoint generators).

[F8]

On one-mode Fock space, a∣m⟩=m ∣m−1⟩, a∗∣m⟩=m+1 ∣m+1⟩, and Q=ℏ/2(a+a∗), P=−iℏ/2(a−a∗) (Finite-mode Fock to Schrödinger identification, Creation contraction bounds, Finite-mode quadratures and symplectic data).

[F9]

For t>0 and ξ∈R, the imported 2π-frequency Fourier transform satisfies ∫Re−πty2e−2πiyξ dy=t−1/2e−πξ2/t, and every polynomial times a positive real Gaussian is integrable (Euclidean Gaussian transform with the 2π normalization). Consequently, for α>0 and β∈R, setting t=α/π and ξ=−β/(2π) gives ∫Re−αy2+iβy dy=πα e−β2/(4α).

[F10]

Integration by parts holds on finite intervals and on the real line when the derivative products are integrable and the boundary product vanishes; xme−ax→0 as x→+∞ for every fixed integer m≥0 and a>0 (Complex integration by parts on intervals and decaying lines, The exponential dominates every fixed nonnegative integer power at +∞).

[F11]

For Borel g:R2→[0,∞], planar Lebesgue measure in polar coordinates is r dr dσ(ω) on S1; the measure is defined by σ(E)=2λ2({rω:ω∈E,0<r≤1}). For every planar rotation Rθ, this definition and ∣det⁡Rθ∣=1 give σ(RθE)=σ(E) by the linear change-of-variables theorem. Also σ(S1)=2λ2({x:0<∣x∣≤1})=2π: the omitted origin is null, and the closed unit disk has area V2(1)=π (The polar surface set function on the unit sphere, Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma, A linear map T of Rn sends Lebesgue measurable sets to Lebesgue measurable sets, with λn(T[E])=∣det⁡T∣ λn(E) when T is invertible and T[E] Lebesgue null when it is not, The closed form for the volume of the unit n-ball).

[F12]

Absolutely integrable functions on the Euclidean product R2 may be integrated in either coordinate order; the product Gaussian integrands below are absolutely integrable by [F9] (Fubini's theorem for L^1 functions on a sigma-finite product).

[F13]

For nonnegative measurable functions on any measure space, the integral of their pointwise lower limit is at most the lower limit of their integrals (Fatou's lemma). Under AC, a self-adjoint operator A has a spectral PVM with D(A)={ψ:∫λ2 dEA,ψ<∞} (Spectral theorem for unbounded self-adjoint operators (PVM form)). The density spectral probability is the positive weighted sum of these scalar measures (Density operators and scalar spectral probability).

Proof

1.1A1A2F1F2algebra

Write Xj=Rj−djI and Gjk=∑nwn⟨Xjψn,Xkψn⟩. The series converge absolutely by Cauchy–Schwarz and the second-moment bounds. On compactly supported smooth functions, integration by parts gives ⟨Rjf,Rkf⟩−⟨Rkf,Rjf⟩=−iℏJjk∥f∥2. For the same-mode Qj,Pj pair, this is iℏ∫xj∂j∣f∣2=−iℏ∥f∥2 after the vanishing boundary term; distinct coordinate pairs and equal-type pairs give zero. The joint graph-norm density in [F2] extends the identity to each ψn in the common domain. Centering by the real scalars dj does not change the antisymmetric difference. Summing with weights yields G−GT=−iℏJ, while Re⁡G=V by definition; hence G=V−iℏJ/2. For any c∈C2r, ∑nwn∥∑jcjXjψn∥2=c‾ TGTc≥0. Since GT=V+iℏJ/2, the uncertainty matrix is positive semidefinite.

1.2F5algebra

Now suppose the target V+iℏJ/2 is positive semidefinite. For real x, xTVx=x∗(V+iℏJ/2)x≥0, so V is nonnegative. If a nonzero real x had xTVx=0, put H=V+iℏJ/2. For every complex y and real t, positivity gives (x+ty)∗H(x+ty)=2tRe⁡(y∗Hx)+t2y∗Hy≥0. Allowing both signs of t forces Re⁡(y∗Hx)=0; replacing y by iy forces the imaginary part to vanish as well. This holds for every y, so take y=Hx to obtain ∥Hx∥2=0 and hence Hx=0. Its real and imaginary parts give Vx=0 and Jx=0, contradicting invertibility of J. Thus V is positive definite. Apply [F5] to obtain V=SDST with D=diag⁡(ν1,ν1,…,νr,νr) and νj≥ℏ/2.

1.3F6F8F9F10F11F12algebra

For one mode and nˉ≥0, set η=nˉ1+nˉ,ρnˉ=(1−η)∑m=0∞ηm∣m⟩⟨m∣, with ρ0=∣0⟩⟨0∣. The geometric series makes this a positive trace-class operator of trace one. For nˉ>0, define ∣α⟩=e−∣α∣2/2∑m=0∞αmm!∣m⟩. Its norm is one by the exponential series. The vector ψα:=W(q0,p0)g0, with α=ℏ/2(−p0+iq0), is a scalar phase times ∣α⟩: the differential formula gives aψ=αψ, and comparing coefficients in the complete number basis gives the displayed series up to one constant phase. In Schrödinger coordinates ψα(x)=π−1/4eiℏq0(x+ℏp0/2)e−(x+ℏp0)2/2. Set y=x+ℏp0+ℏp/2. In ⟨W(q,p)ψα,ψα⟩, the Gaussian factor is e−y2−ℏp2/4 and the phase is ℏqy−ℏqp0+ℏq0p. For α0>0 and real β, [F9] gives ∫Re−α0y2+iβy dy=πα0e−β2/(4α0) by the explicit substitutions t=α0/π and ξ=−β/(2π) in the supplier's 2π-frequency formula. Taking α0=1 and β=ℏq gives the normalized factor π−1/2∫e−y2+iℏqy dy=e−ℏq2/4. Therefore, for u=Re⁡α and v=Im⁡α, ⟨W(q,p)ψα,ψα⟩=exp⁡ ⁣(i2ℏ(qu+pv)−ℏ4(q2+p2)). The phase is the mean d=(2ℏu,2ℏv). The geometric weights have mean occupation ∑mm(1−η)ηm=η/(1−η)=nˉ. For a number vector, Q∣m⟩=ℏ/2(m+1∣m+1⟩+m∣m−1⟩), and P∣m⟩=−iℏ/2(m∣m−1⟩−m+1∣m+1⟩) by [F8]. Orthogonality of number vectors gives zero means and ⟨m,Q2m⟩=⟨m,P2m⟩=ℏ(m+1/2). Also QP+PQ=−iℏ(a2−(a∗)2), whose diagonal matrix entries vanish because a2 and (a∗)2 change number by two. Thus the diagonal state has zero symmetrized cross covariance. Summing against the geometric weights gives ⟨Q2⟩=⟨P2⟩=ℏ2(2nˉ+1)=ν. Thus its quadrature second moments are finite and its covariance is νI2. The probability density (πnˉ)−1e−(u2+v2)/nˉ on the complex plane is normalized because [F9] at zero frequency gives ∫Re−u2/nˉdu=πnˉ in each coordinate, and [F12] factors the absolutely integrable product integral. By [F12] and two applications of [F9] with α0=1/nˉ, βu=2ℏq and βv=2ℏp, its characteristic factor is ∫Ce−∣α∣2/nˉπnˉei2ℏ(qu+pv) du dv=e−ℏnˉ(q2+p2)/2. To identify the mixture with ρnˉ, the (m,n) matrix entry of ∣α⟩⟨α∣ is e−∣α∣2αmαˉn/m!n! by the coherent-state series. Under a planar rotation α↦eiθα, Lebesgue measure and the radial density are invariant by [F11], while αmαˉn gains the factor ei(m−n)θ; choosing θ with this factor unequal to 1 shows that every off-diagonal entry vanishes. For m=n, the polar formula [F11] and σ(S1)=2π give ∫C∣α∣2me−a∣α∣2 du dv=2π∫0∞r2m+1e−ar2 dr=π∫0∞xme−ax dx, where x=r2. For a>0, the last integral is m!/am+1: its value at m=0 is 1/a, and integration by parts on [0,R] followed by R→∞ gives Im(a)=(m/a)Im−1(a); the boundary term vanishes by [F10]. Thus the mth diagonal entry of the mixture is 1πnˉm!∫C∣α∣2me−(1+1/nˉ)∣α∣2 du dv=nˉm(1+nˉ)m+1=(1−η)ηm. Let PK=∑m=0K∣m⟩⟨m∣ and integrate the finite-rank operators PK∣α⟩⟨α∣PK. Their diagonal entries just computed give ∑m=0K(1−η)ηm∣m⟩⟨m∣, which converges in trace norm to ρnˉ. Also PK∣α⟩→∣α⟩ in norm for each α, and ∣⟨W(q,p)PKα,PKα⟩∣≤1. Dominated convergence [F6] therefore passes the characteristic function through the mixture. Multiplying the two scaled Gaussian Fourier factors just computed by the vacuum factor in the coherent formula gives tr⁡(ρnˉW(q,p))=e−ℏ(2nˉ+1)(q2+p2)/4=e−ν(q2+p2)/2,ν=ℏ(nˉ+1/2). For nˉ=0, the same formula and covariance follow from [F9] with α0=1 and β=ℏq (and the p coordinate).

2.1F1F2F3F4F7step 1.1algebra

Let MS be an implementer from [F3] and set ρS=MSρMS∗. The Weyl identity and cyclicity of trace against a bounded operator give χρS(z)=tr⁡(ρMS∗W(z)MS)=χρ(STz). For a coordinate vector ej, the explicit Weyl formula gives W(tej)=eitRj. Therefore MS∗eitRjMS=W(tSTej); its derivative on Schwartz functions at zero is i∑kSjkRk. By [F7], the two strongly continuous groups have unique self-adjoint generators, so MS∗RjMS=∑kSjkRk‾. The left side has Schwartz as a core because every generator unitary in [F3] preserves Schwartz. By [F2], Schwartz is dense in the joint quadrature graph norm, so every vector with all quadrature second moments lies in the domain of these finite sums and the identity acts there as written. Applying it to the eigenvectors of ρ and using the absolutely convergent form sums in [F1] gives dS=Sd and VS=SVST. For transformations arising from finite Bogoliubov matrices, these are exactly the core and Weyl interfaces of [F4].

3.1F1F2F3F6F7F13step 1.1step 2.1algebra

For necessity in the converse, suppose a density operator ρ has the displayed Gaussian characteristic function with parameters d,V, without initially assuming moment bounds. Let Ej be the spectral PVM of Rj and μj(B)=tr⁡(ρEj(B)). Then ∫eitλ dμj(λ)=χ(tej). With tn=1/n, [F13] gives 12∫λ2 dμj≤lim inf⁡n→∞∫1−cos⁡(tnλ)tn2 dμj=dj2+Vjj2<∞. For an orthonormal density expansion with weights wn>0, positivity and the definition of the nonnegative integral identify this second moment with ∑nwn∫λ2 dEj,ψn. The spectral domain formula [F13] therefore places each ψn in D(Rj) and gives ∑nwn∥Rjψn∥2<∞. Thus the hypotheses of step 1.1 hold. To identify the resulting moment parameters with the prescribed d,V, fix real z and let Az be the self-adjoint generator of t↦W(tz). For z≠0, extend z to a symplectic basis (choose a vector with nonzero pairing, normalize it, then induct in its symplectic orthogonal complement); [F3] and the generator argument of step 2.1 show that Az has Schwartz core and equals ∑jzjRj on the joint domain. The case z=0 is the zero generator. The joint-domain moment bounds make ∑nwn∥Azψn∥2 finite. In its scalar spectral probability, the bounds ∣sin⁡(tλ)/t∣≤∣λ∣ and 0≤(1−cos⁡(tλ))/t2≤λ2/2 permit dominated convergence. Comparing with χ(tz) gives ⟨Az⟩=zTd and ⟨Az2⟩=(zTd)2+zTVz, where the second moment denotes the spectral quadratic form. These are also the directional mean and covariance forms of the now finite-moment state, so equality for every real z identifies its mean and real symmetric covariance with d,V. Step 1.1 yields V+iℏJ/2⪰0, proving necessity for every density operator, not just those initially assumed to have finite moments.

4.1F3F5F6step 2.1step 1.2step 1.3algebra∎

Put nˉj=νj/ℏ−1/2≥0 and take the finite tensor product of the one-mode states ρnˉj. In the occupation basis it is positive trace class with trace one, and its characteristic function is the product of the one-mode functions from step 1.3, namely exp⁡(−zTDz/2). Conjugate this product state by an implementer MS from [F3]; step 2.1 gives characteristic function exp⁡(−zTSDSTz/2)=exp⁡(−zTVz/2). Finally set z0=Jd/ℏ and conjugate by the Weyl unitary W(z0). The Weyl commutation relation yields W(z0)∗W(z)W(z0)=eiℏz0TJzW(z)=eizTdW(z), because d=−ℏJz0. The resulting unitary conjugate of the product thermal state is positive, trace class and trace one, and has exactly the target characteristic function. This proves sufficiency and completes the finite-mode equivalence. No infinite-mode inference is used.

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