Generator pairing balance and Hessian bounds at a minimizer of the regularized two-input problem
ProvedOAI.EntropyPhotonNumber.Regularization.minimum_physical_pairing_balanceLet be the -mode Fock space with number basis , total number , annihilation operators , and the diagonal weight , i.e. . A state is a positive bounded operator on whose number-basis diagonal sums to . For a state write , and ; has finite -th moment if .
Regularized problem. Fix , finite-energy states and constants . For states let denote the beam-splitter output at transmissivity and put
Let be the channel and the channel , with Heisenberg duals .
A Gibbs representation of with quartic coefficient consists of a positive bounded operator , a Hilbert basis of and numbers with such that for all and (moreover is injective and has finite seventh moment). Formally with . Its quartic logarithm is the bounded operator
formally .
For a state , a weighted column family of is a family in with such that satisfy and . For and a bounded operator , the generator pairing is
with (all vectors lie in because etc. are bounded). Formally , where is the Heisenberg generator of the thermal-noise semigroup with mean photon number .
For , a state with finite fourth moment and a bounded , let and be the weighted conditional operators: with the passive beam-splitter unitary of transmissivity on , they are defined by
and likewise with (the known state in the first port). (In the file these are written with bounded weight ratios, as for bounded , so they are bounded operators; the displayed formula is their meaning.)
For a basis and weights put ( the logarithmic mean), , and let be the span of the operators .
Theorem. Assume have finite fourth moments, is the thermal state with mean per mode, , and minimizes over all pairs of states with finite fourth moments. Then there exist a Hilbert basis and with and ; Gibbs representations of (quartic coefficient , quartic logarithm , eigenbasis , weights ) and of (coefficient , , , ); and positive bounded operators with
(in ), such that:
- for all , every weighted column family of and every weighted column family of ,
- for all : ;
- for all : .
Formally , so item 1 says that the first-order optimality conditions for and , paired with the thermal relaxation generators, balance exactly; items 2 and 3 are the second-order conditions in the logarithmic-mean metric. These are the two inputs of the stationarity argument for the minimizers.
Formalization Note The data form the structure Regularization n; is R.output, is R.objective, is WeightedGenerator.pairing, and are weightedConditional and weightedConditionalRight applied to weightedRoot 2 (the columns ), and are the duals of R.firstFlow σ, R.secondFlow ρ.
import Mathlib
import Definitions.Def_EntropyPhotonNumber
import Definitions.Def_OAI_MathematicalPhysics_Fock_Beam
import Definitions.Def_OAI_Analysis_QuantumTrace_Basic
import Definitions.Def_OAI_MathematicalPhysics_Fock_Operators
import Definitions.Def_OAI_InformationTheory_PhotonNumber_Gibbs
import Definitions.Def_OAI_Analysis_TensorLp
import Definitions.Def_OAI_InformationTheory_PhotonNumber_BeamTrace
import Definitions.Def_OAI_InformationTheory_PhotonNumber_Functions
import Definitions.Def_OAI_Analysis_DiagonalForms
import Definitions.Def_OAI_InformationTheory_PhotonNumber_ThermalMetric
import Definitions.Def_OAI_InformationTheory_PhotonNumber_BeamForms
import Definitions.Def_OAI_InformationTheory_PhotonNumber_Generator
import Definitions.Def_OAI_InformationTheory_PhotonNumber_SpectralLog
import Definitions.Def_OAI_InformationTheory_PhotonNumber_Continuity
import Definitions.Def_OAI_InformationTheory_PhotonNumber_Entropy
import Definitions.Def_OAI_InformationTheory_PhotonNumber_GibbsVariational
import Definitions.Def_OAI_Analysis_Herglotz
import Definitions.Def_OAI_InformationTheory_PhotonNumber_Interpolation
import Definitions.Def_OAI_InformationTheory_PhotonNumber_SpectralForms
import Definitions.Def_OAI_InformationTheory_PhotonNumber_Contraction
import Definitions.Def_OAI_InformationTheory_PhotonNumber_FiniteVariation
import Definitions.Def_OAI_InformationTheory_PhotonNumber_PhysicalMinimum
open OAI OAI.EntropyPhotonNumber OAI.EntropyPhotonNumber.Regularization
open scoped ComplexConjugate
open scoped BigOperators ComplexConjugate
open scoped BigOperators ComplexConjugate ENNReal Topology
open MeasureTheory
open scoped BigOperators
open MvPolynomial
open scoped BigOperators ComplexConjugate Classical
open Submodule
open scoped ENNReal
open Module
open scoped ComplexConjugate BigOperators Matrix
open NormedSpace
open scoped Matrix.Norms.Operator
open scoped Topology
open MeasureTheory NormedSpace
open Filter Asymptotics Topology
open ContinuousLinearMap
open QuantumTrace Annihilation BeamLadder TensorLp
variable {n : ℕ} (R : Regularization n)theorem OAI.EntropyPhotonNumber.Regularization.minimum_physical_pairing_balance (ρ σ : State n) (hmρ : FiniteMoment 4 ρ)
(hmσ : FiniteMoment 4 σ) (hmD : FiniteMoment 4 R.τD)
{r : ℝ} (hr : 0 < r) (hτ : R.τ0 = thermalState n r hr) (hκ : 0 < R.κ)
(hmin : ∀ ρ' σ', FiniteMoment 4 ρ' → FiniteMoment 4 σ' → R.objective ρ σ ≤ R.objective ρ' σ') :
∃ (J : Type) (b : HilbertBasis J ℂ (Fock n)) (p : J → ℝ),
(∀ j, 0 < p j) ∧ HasSum p 1 ∧ (∀ j, (R.output ρ σ).op (b j) = (p j : ℂ) • b j) ∧
∃ (G1 : GibbsData n (R.ζ/R.a1) ρ) (G2 : GibbsData n (R.ζ/R.a2) σ)
(B D1 D2 : Fock n →L[ℂ] Fock n), B.IsPositive ∧ D1.IsPositive ∧ D2.IsPositive ∧
(∀ x, ENNReal.ofReal (inner ℂ x (B x)).re=
basisMoment b (fun j => ENNReal.ofReal (-Real.log (p j))) (inverseWeight 2 x)) ∧
(∀ x, ENNReal.ofReal (inner ℂ x (D1 x)).re=
numberVectorMoment (inversePower rootNumberWeight rootNumberWeight_one_le 4 x)) ∧
(∀ x, ENNReal.ofReal (inner ℂ x (D2 x)).re=
numberVectorMoment (inversePower rootNumberWeight rootNumberWeight_one_le 4 x)) ∧
(∀ (s1 s2 : ℝ) (X : WeightedColumns ρ) (Y : WeightedColumns σ),
(R.a1:ℂ)*WeightedGenerator.pairing s1 X.vector G1.quarticLogarithm+
(R.a2:ℂ)*WeightedGenerator.pairing s2 Y.vector G2.quarticLogarithm=
(R.c:ℂ)*((1-R.κ:ℝ):ℂ)*
(WeightedGenerator.pairing s1 X.vector
(weightedConditional R.η R.hη (weightedRoot 2 σ hmσ)
(weightedConditional (1-R.δ) ⟨sub_nonneg.mpr R.hδ.2,sub_le_self _ R.hδ.1⟩
(weightedRoot 2 R.τD hmD) B))+
WeightedGenerator.pairing s2 Y.vector
(weightedConditionalRight R.η R.hη (weightedRoot 2 ρ hmρ)
(weightedConditional (1-R.δ) ⟨sub_nonneg.mpr R.hδ.2,sub_le_self _ R.hδ.1⟩
(weightedRoot 2 R.τD hmD) B)))+
(R.b1:ℂ)*WeightedGenerator.pairing s1 X.vector D1+
(R.b2:ℂ)*WeightedGenerator.pairing s2 Y.vector D2+
(R.ζ:ℂ)*(WeightedGenerator.pairing s1 X.vector (1 : Fock n →L[ℂ] Fock n)+
WeightedGenerator.pairing s2 Y.vector (1 : Fock n →L[ℂ] Fock n))) ∧
(∀ Z : Fock n →L[ℂ] Fock n, Z ∈ CenteredTests.operatorSpace b p →
(1-R.κ)^2*BKM.quadratic G1.basis (gibbsWeight G1.eigenval)
(BKM.center G1.basis (gibbsWeight G1.eigenval)
((R.firstFlow σ (finiteMoment_finiteEnergy (by norm_num) hmσ)).dual Z)) ≤
(R.a1/R.c)*BKM.quadratic b p Z) ∧
(∀ Z : Fock n →L[ℂ] Fock n, Z ∈ CenteredTests.operatorSpace b p →
(1-R.κ)^2*BKM.quadratic G2.basis (gibbsWeight G2.eigenval)
(BKM.center G2.basis (gibbsWeight G2.eigenval)
((R.secondFlow ρ (finiteMoment_finiteEnergy (by norm_num) hmρ)).dual Z)) ≤
(R.a2/R.c)*BKM.quadratic b p Z) := by sorry