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Gaussian covariance and uncertainty
Statement
Assume AC, , , 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, If is symplectic and is any individual implementer with on the quadrature domains, then for its mean and covariance are and . Conversely, for every real vector and real symmetric matrix , the function is the Weyl characteristic function of a finite-mode density operator if and only if . This is a conditional mathematical existence result for the stated finite-mode model; it is not an experimental claim.
Statement references
Facts & Assumptions
Given: AC, finite , , 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.
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 ()).
The input density operator has finite quadrature second moments in the definition Finite-mode quadratures and symplectic data.
A density operator has an orthonormal eigen-expansion with and ; the definitions of are the convergent weighted quadrature forms in that expansion (Density operators and scalar spectral probability, Finite-mode quadratures and symplectic data).
Schwartz functions are dense in the joint quadrature graph norm (Schwartz density in the joint quadrature graph norm); the quadrature CCR hold on this core (Finite-mode quadratures and symplectic data).
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).
The finite Bogoliubov theorem supplies the same Weyl and quadrature covariance for transformations expressed by finite matrices obeying the displayed CCR identities. Explicitly, if sends interleaved coordinates to grouped coordinates and is that theorem's grouped matrix, the matrix used with here is : and (Finite Bogoliubov implementability).
Every real symmetric positive definite has a symplectic Williamson factorization , and is equivalent to all diagonal entries of being at least (Positive definite Williamson normal form).
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).
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).
On one-mode Fock space, , , and , (Finite-mode Fock to Schrödinger identification, Creation contraction bounds, Finite-mode quadratures and symplectic data).
For and , the imported -frequency Fourier transform satisfies and every polynomial times a positive real Gaussian is integrable (Euclidean Gaussian transform with the 2π normalization). Consequently, for and , setting and gives
Integration by parts holds on finite intervals and on the real line when the derivative products are integrable and the boundary product vanishes; as for every fixed integer and (Complex integration by parts on intervals and decaying lines, The exponential dominates every fixed nonnegative integer power at ).
For Borel , planar Lebesgue measure in polar coordinates is on ; the measure is defined by . For every planar rotation , this definition and give by the linear change-of-variables theorem. Also : the omitted origin is null, and the closed unit disk has area (The polar surface set function on the unit sphere, Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma, A linear map of sends Lebesgue measurable sets to Lebesgue measurable sets, with when is invertible and Lebesgue null when it is not, The closed form for the volume of the unit -ball).
Absolutely integrable functions on the Euclidean product 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).
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 has a spectral PVM with (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
Write and . The series converge absolutely by Cauchy–Schwarz and the second-moment bounds. On compactly supported smooth functions, integration by parts gives For the same-mode pair, this is 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 in the common domain. Centering by the real scalars does not change the antisymmetric difference. Summing with weights yields , while by definition; hence . For any , Since , the uncertainty matrix is positive semidefinite.
Now suppose the target is positive semidefinite. For real , , so is nonnegative. If a nonzero real had , put . For every complex and real , positivity gives . Allowing both signs of forces ; replacing by forces the imaginary part to vanish as well. This holds for every , so take to obtain and hence . Its real and imaginary parts give and , contradicting invertibility of . Thus is positive definite. Apply [F5] to obtain with and .
For one mode and , set with . The geometric series makes this a positive trace-class operator of trace one. For , define Its norm is one by the exponential series. The vector , with , is a scalar phase times : the differential formula gives , and comparing coefficients in the complete number basis gives the displayed series up to one constant phase. In Schrödinger coordinates Set . In , the Gaussian factor is and the phase is . For and real , [F9] gives by the explicit substitutions and in the supplier's -frequency formula. Taking and gives the normalized factor . Therefore, for and , The phase is the mean . The geometric weights have mean occupation . For a number vector, and by [F8]. Orthogonality of number vectors gives zero means and . Also , whose diagonal matrix entries vanish because and change number by two. Thus the diagonal state has zero symmetrized cross covariance. Summing against the geometric weights gives Thus its quadrature second moments are finite and its covariance is . The probability density on the complex plane is normalized because [F9] at zero frequency gives in each coordinate, and [F12] factors the absolutely integrable product integral. By [F12] and two applications of [F9] with , and , its characteristic factor is To identify the mixture with , the matrix entry of is by the coherent-state series. Under a planar rotation , Lebesgue measure and the radial density are invariant by [F11], while gains the factor ; choosing with this factor unequal to shows that every off-diagonal entry vanishes. For , the polar formula [F11] and give where . For , the last integral is : its value at is , and integration by parts on followed by gives ; the boundary term vanishes by [F10]. Thus the th diagonal entry of the mixture is Let and integrate the finite-rank operators . Their diagonal entries just computed give , which converges in trace norm to . Also in norm for each , and . 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 For , the same formula and covariance follow from [F9] with and (and the coordinate).
Let be an implementer from [F3] and set . The Weyl identity and cyclicity of trace against a bounded operator give For a coordinate vector , the explicit Weyl formula gives . Therefore ; its derivative on Schwartz functions at zero is . By [F7], the two strongly continuous groups have unique self-adjoint generators, so . 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 and using the absolutely convergent form sums in [F1] gives and . For transformations arising from finite Bogoliubov matrices, these are exactly the core and Weyl interfaces of [F4].
For necessity in the converse, suppose a density operator has the displayed Gaussian characteristic function with parameters , without initially assuming moment bounds. Let be the spectral PVM of and . Then . With , [F13] gives For an orthonormal density expansion with weights , positivity and the definition of the nonnegative integral identify this second moment with . The spectral domain formula [F13] therefore places each in and gives . Thus the hypotheses of step 1.1 hold. To identify the resulting moment parameters with the prescribed , fix real and let be the self-adjoint generator of . For , extend 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 has Schwartz core and equals on the joint domain. The case is the zero generator. The joint-domain moment bounds make finite. In its scalar spectral probability, the bounds and permit dominated convergence. Comparing with gives and , 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 identifies its mean and real symmetric covariance with . Step 1.1 yields , proving necessity for every density operator, not just those initially assumed to have finite moments.
Put and take the finite tensor product of the one-mode states . 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 . Conjugate this product state by an implementer from [F3]; step 2.1 gives characteristic function . Finally set and conjugate by the Weyl unitary . The Weyl commutation relation yields because . 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.
Depends on
Finite-mode quadratures and symplectic data
Finite Bogoliubov implementability
Finite symplectic implementation by quadratic generators
Finite-mode Fock to Schrödinger identification
Creation contraction bounds
Positive definite Williamson normal form
Schwartz density in the joint quadrature graph norm
Density operators and scalar spectral probability
Euclidean Gaussian transform with the 2π normalization
Complex integration by parts on intervals and decaying lines
The exponential dominates every fixed nonnegative integer power at
The polar surface set function on the unit sphere
Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma
A linear map of sends Lebesgue measurable sets to Lebesgue measurable sets, with when is invertible and Lebesgue null when it is not
The closed form for the volume of the unit -ball
Fubini's theorem for L^1 functions on a sigma-finite product
Dominated convergence
Stone's theorem: unitary groups and self-adjoint generators
The Axiom of Countable Choice ()
The Axiom of Choice
Fatou's lemma
Spectral theorem for unbounded self-adjoint operators (PVM form)