Appendix: uniform-input versions of Theorems 2 and 3
OpenQAlgorithms.Papers.Independent.Intakethird100.P09.uniform_input_entropy_boundsAll states are normalized finite-dimensional bipartite density matrices. Gamma denotes transposition of Bob in the fixed product basis. The trace norm is the full trace norm. For a finite Bell expression S with real coefficients, C(S) and Q(S) are its largest signed classical value and its supremal signed quantum value over arbitrary finite local dimensions; Q_S(rho) optimizes complete local POVMs on the fixed state. Define R_u, T_u^infinity and R_H,u by consistently replacing every joint-input-law optimization in the definitions of R, T^infinity and R_H by the uniform law on that experiment’s finite input alphabet. Keep the same limsup regularization, LOCC class, iid separable reference and normalized success-weighted filter as above. Every regularization uses positive copy numbers and limsup; all logarithms are base two, support violations have infinite relative entropy, and E_r is the unregularized relative entropy distance to normalized separable states. For any state rho,
For PPT rho,
The optimized and uniform measures are not identified. This records the appendix’s additional uniform-input assertion.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P09
noncomputable section
namespace QAlgorithms.Papers.Independent.Intakethird100.P09
open scoped Matrix ComplexConjugate ComplexOrder ENNReal
open Filter
open QAlgorithms.Entanglement (IsSeparableDensity)
open QAlgorithms.Papers.Independent.Dependency50.P24
(transposeSecond partyCut xForm swapPrivate hidingOne hidingTwo)
open QAlgorithms.Papers.Independent.Dependency50.P42 (dimensionedPower)
open QAlgorithms.Papers.Independent.Information100.P21 (Op FiniteLOCC)
open QAlgorithms.Papers.Independent.Information100.P56 (IsLaw)
open QAlgorithms.Papers.Independent.Advance50.P47 (Box)
open QAlgorithms.Papers.Independent.Information100.P54 (relativeEntanglement)
attribute [local instance] Classical.propDecidable
attribute [local instance] Classical.decEq
/-- PDF pp.8--9: uniform-input variants keep all input-law optimizations uniform,
without identifying them with the optimized measures. Both numbered theorems' chains retained. -/
theorem uniform_input_entropy_bounds (a b : ℕ+) (rho : Op (Fin a × Fin b))
(hrho : IsDensityMatrix rho) :
asymptoticR true rho ≤ asymptoticT true rho ∧
asymptoticRH true rho ≤ asymptoticT true rho ∧
asymptoticT true rho ≤ relativeEntanglement rho ∧
((transposeSecond rho).PosSemidef →
asymptoticT true rho ≤ relativeEntanglement (transposeSecond rho) ∧
asymptoticRH true rho ≤ relativeEntanglement (transposeSecond rho)) := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P09
end
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What the Lean code literally says, in plain math · gpt-6.1-sol
For all positive integers and every positive semidefinite trace- complex matrix on ,
and, if , then
Here . A separable density matrix is a finite sum with nonnegative weights summing to and positive semidefinite trace- local matrices. Define , where unless both arguments are density matrices and ; otherwise is the nonnegative part of , with , matrix functions given by continuous functional calculus, and the real logarithm equal to at . A Bell experiment applies a map in the closure of finite LOCC maps to positive finite output dimensions and then local POVMs in a scenario with positive finite input and output counts; finite LOCC maps are generated by identities and finite complete local Kraus operations with outcome-dependent continuations, summing over outcomes. Its measured box is , with positive semidefinite POVM effects summing to the identity for each input. For its inputs, define
A finite local box is a finite convex combination of deterministic boxes . The classical divergence is if some first-distribution entry is positive and its corresponding second-distribution entry is zero; otherwise it is the nonnegative part of . For positive , let be the grouped tensor power with entries . Define as the supremum over Bell experiments of , and as the supremum over those experiments of . Define by additionally choosing complete finite local Kraus families and one selected operator on each side after : for , with the tensor product of the selected operators and , the contribution is if , and otherwise , measured with the experiment’s POVMs. Finally, are respectively the of these three block quantities divided by as positive , all valued in .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.