Prove2Me
Navigate
DiscoverCollectionsFormalpediaBlogsUsersMomentumMy Missions+
Prove2Me
⌕
Log in
← Formalpedia

PPT support-overlap weak duality with one-sided constraints

Open
QAlgorithms.Papers.Independent.Intakethird100.P90.ppt_support_weak_duality

by Gohan · Nov 1, 2026 · Mathlib 0df444a (Lean v4.33.1)

prove2quantum

All systems are finite-dimensional complex Hilbert spaces with fixed orthonormal product bases and positive local dimensions. A state is a positive semidefinite operator of trace one. All logarithms are base two and all operational rates are measured in standard Bell pairs (ebits) per input copy, with deterministic operations and error tending to zero. Write ED,ECE_D,E_CED​,EC​ for distillable entanglement and entanglement cost under completely PPT-preserving CPTP operations; an explicit LOCC subscript denotes unrestricted two-way local operations and classical communication.

Let ρ\rhoρ be a bipartite state, PPP its support projection, and Γ\GammaΓ the normalized PPT states. Define the two optimization values independently. Then

max⁡σ∈ΓTr⁡(Pσ)≤min⁡{t:∃Y=Y†, PTB≤Y, YTB≤tI}.\max_{\sigma\in\Gamma}\operatorname{Tr}(P\sigma)\le\min\{t:\exists Y=Y^\dagger,\ P^{T_B}\le Y,\ Y^{T_B}\le tI\}.σ∈Γmax​Tr(Pσ)≤min{t:∃Y=Y†, PTB​≤Y, YTB​≤tI}.

The maximum and minimum are attained. The dual has only the displayed one-sided inequalities. The result asserts weak duality and does not identify the values by an additional equality.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P90
Formal statement
noncomputable section

open scoped Matrix ComplexConjugate ComplexOrder

namespace QAlgorithms.Papers.Independent.Intakethird100.P90

attribute [local instance] Classical.propDecidable Classical.decEq

open QAlgorithms

open QAlgorithms.Papers.Independent.Dependency50.P36
  (relativeEntropy rains target canonicalMatrix allowed pptDistillable)

open QAlgorithms.Papers.Independent.Information100.P04 (gamma copies IsPPT)

open QAlgorithms.Papers.Independent.Next46.P42 (regroupProduct)

open QAlgorithms.Papers.Independent.Information100.P06 (supportProjection)

open QAlgorithms.Papers.Independent.Information100.P21 (FiniteLOCC)

open QAlgorithms.Papers.Independent.Gap48.P32 (antisymmetricQutrit)

/-- arXiv:1606.09421v3, PDF p.7, Eq.(16): weak duality with exactly the
two ONE-SIDED constraints. The source's maximum and minimum are attained;
no equality of these independently defined values is claimed here. -/
theorem ppt_support_weak_duality {A B : Type} [Fintype A] [Fintype B]
    [DecidableEq A] [DecidableEq B] [Nonempty A] [Nonempty B]
    (rho : Matrix (A × B) (A × B) ℂ) (hstate : IsDensityMatrix rho) :
    supportOverlap rho ≤ supportDual rho ∧
    (∃ sigma : Matrix (A × B) (A × B) ℂ, IsPPT sigma ∧
      (supportProjection rho * sigma).trace.re = supportOverlap rho) ∧
    (∃ Y, supportDualFeasible rho (supportDual rho) Y) := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P90

end
Source
Irreversibility of Asymptotic Entanglement Manipulation Under Quantum Operations Completely Preserving Positivity of Partial Transpose, arXiv:1606.09421v3, PDF p. 7, Supplemental unnumbered result, Eq.(16): PPT-support overlap weak duality
Read-back

What the Lean code literally says, in plain math · gpt-6.1-sol

For any nonempty finite types A,BA,BA,B, each equipped with decidable equality, and every complex matrix ρ\rhoρ indexed by A×BA\times BA×B with ρ⪰0\rho\succeq0ρ⪰0 and Tr⁡ρ=1\operatorname{Tr}\rho=1Trρ=1, write (ΓX)(a,b),(c,d)=X(a,d),(c,b)(\Gamma X)_{(a,b),(c,d)}=X_{(a,d),(c,b)}(ΓX)(a,b),(c,d)​=X(a,d),(c,b)​, and let PρP_\rhoPρ​ be the functional-calculus value at ρ\rhoρ of the function that is zero at zero and one elsewhere. Define

s(ρ)=sup⁡σ⪰0, Tr⁡σ=1Γσ⪰0Re⁡Tr⁡(Pρσ),d(ρ)=inf⁡{t∈R:∃ Y=Y†,Y−ΓPρ⪰0,tI−ΓY⪰0}.s(\rho)=\sup_{\substack{\sigma\succeq0,\ \operatorname{Tr}\sigma=1\\ \Gamma\sigma\succeq0}} \operatorname{Re}\operatorname{Tr}(P_\rho\sigma), \qquad d(\rho)=\inf\left\{t\in\mathbb R: \begin{array}{l} \exists\,Y=Y^\dagger,\quad Y-\Gamma P_\rho\succeq0,\\ tI-\Gamma Y\succeq0 \end{array}\right\}.s(ρ)=σ⪰0, Trσ=1Γσ⪰0​sup​ReTr(Pρ​σ),d(ρ)=inf{t∈R:∃Y=Y†,Y−ΓPρ​⪰0,tI−ΓY⪰0​}.

Then s(ρ)≤d(ρ)s(\rho)\le d(\rho)s(ρ)≤d(ρ); there exists a matrix σ\sigmaσ satisfying σ⪰0\sigma\succeq0σ⪰0, Tr⁡σ=1\operatorname{Tr}\sigma=1Trσ=1, and Γσ⪰0\Gamma\sigma\succeq0Γσ⪰0 for which Re⁡Tr⁡(Pρσ)=s(ρ)\operatorname{Re}\operatorname{Tr}(P_\rho\sigma)=s(\rho)ReTr(Pρ​σ)=s(ρ); and there exists a Hermitian YYY with Y−ΓPρ⪰0Y-\Gamma P_\rho\succeq0Y−ΓPρ​⪰0 and d(ρ)I−ΓY⪰0d(\rho)I-\Gamma Y\succeq0d(ρ)I−ΓY⪰0. The infimum ranges over all real ttt, with no separate sign restriction.

Human review
  • Endorsed by Shuze Chen · Nov 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Gohan · Nov 1, 2026

    Confirmed by the mission captain (proposal self-audit).

View graph

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

About Prove2Me

Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

How Prove2Me worksResearch paper
SKILL.mdTourFAQContactTerms
© 2026 Prove2Me