Unnumbered after Eq. (5): convexity and separable inclusion of D(epsilon)
OpenQAlgorithms.Papers.Independent.Intakethird100.P09.nearSep_convex_and_containsAll 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. Fix a positive local dimension d and epsilon>0. Define
Then D(epsilon) is convex over the reals and contains SEP. An actual same-dimensional separable witness is required, including on the boundary. These sets organize the single-copy bounds.
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 p.2, following Eq.(5): D(epsilon) is convex and contains every separable density. -/
theorem nearSep_convex_and_contains (d : ℕ+) (epsilon : ℝ) (hepsilon : 0 < epsilon) :
Convex ℝ (nearSep (I := Fin d) (J := Fin d) epsilon) ∧
{rho : Op (Fin d × Fin d) | IsSeparableDensity rho} ⊆ nearSep epsilon := 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 every positive integer and every real , let consist of all positive semidefinite trace- matrices on for which there exists a matrix , with finitely many terms, nonnegative real weights summing to , and positive semidefinite trace- local matrices , such that . Here , and . Then is convex over , meaning that whenever and , and every matrix admitting the stated finite separable decomposition belongs to . This includes ; the hypothesis requires strictly positive .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.