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Remark 4: SSA equality gives separability and nonnegative endpoint conditional entropy

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QAlgorithms.Papers.Independent.Intakethird100.P97.ssa_endpoint_separable

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

prove2quantum

Let ρABC\rho_{ABC}ρABC​ be a trace-one positive semidefinite density matrix on arbitrary finite-dimensional complex factors A,B,CA,B,CA,B,C of positive dimension. All entropies are in bits and all marginals are actual partial traces of ρ\rhoρ. Use S(X∣Y)=S(XY)−S(Y)S(X\mid Y)=S(XY)-S(Y)S(X∣Y)=S(XY)−S(Y) and I(X;Z∣Y)=S(XY)+S(YZ)−S(XYZ)−S(Y)I(X;Z\mid Y)=S(XY)+S(YZ)-S(XYZ)-S(Y)I(X;Z∣Y)=S(XY)+S(YZ)−S(XYZ)−S(Y). Without assuming SSA equality,

2S(A∣C)+I(A;C∣B)=[S(A∣B)+S(A∣C)]+I(A;B∣C)≥0.2S(A\mid C)+I(A;C\mid B)=[S(A\mid B)+S(A\mid C)]+I(A;B\mid C)\ge0.2S(A∣C)+I(A;C∣B)=[S(A∣B)+S(A∣C)]+I(A;B∣C)≥0.

If I(A;C∣B)=0I(A;C\mid B)=0I(A;C∣B)=0, then ρAC\rho_{AC}ρAC​ is separable, meaning a finite convex combination of product density matrices, and S(A∣C)≥0S(A\mid C)\ge0S(A∣C)≥0. This records the structural consequence while identifying the entropy conclusion as a consequence of the basic inequalities.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P97
Formal statement
noncomputable section

namespace QAlgorithms.Papers.Independent.Intakethird100.P97

attribute [local instance] Classical.propDecidable Classical.decEq

local notation "A" => ({0} : Finset (Fin 4))

local notation "B" => ({1} : Finset (Fin 4))

local notation "C" => ({2} : Finset (Fin 4))

local notation "D" => ({3} : Finset (Fin 4))

/-- PDF p.5, Remark 4: the identity and nonnegativity are unconditional; SSA
equality additionally implies separability of AC and S(A|C) ≥ 0. -/
theorem ssa_endpoint_separable {X Y Z : Type*}
    [Fintype X] [Fintype Y] [Fintype Z] [Nonempty X] [Nonempty Y] [Nonempty Z]
    (rho : Matrix (X × (Y × Z)) (X × (Y × Z)) ℂ) (hrho : IsDensityMatrix rho) :
    let sab := vnEntropy (marginalAB3 rho)
    let sac := vnEntropy (marginalAC3 rho)
    let sbc := vnEntropy (traceLeft rho)
    let sa := vnEntropy (traceRight (marginalAB3 rho))
    let sb := vnEntropy (traceLeft (marginalAB3 rho))
    let sc := vnEntropy (traceLeft (marginalAC3 rho))
    let sabc := vnEntropy rho
    let acGivenB := sab + sbc - sabc - sb
    let abGivenC := sac + sbc - sabc - sc
    (2 * (sac - sc) + acGivenB = (sab - sb) + (sac - sc) + abGivenC) ∧
    0 ≤ (sab - sb) + (sac - sc) + abGivenC ∧
    (acGivenB = 0 → Entanglement.IsSeparableDensity (marginalAC3 rho) ∧ 0 ≤ sac - sc) := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P97

end
Source
A new inequality for the von Neumann entropy, arXiv:quant-ph/0406162v1, PDF p. 5, Remark 4
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What the Lean code literally says, in plain math · gpt-6.1-sol

For any finite, nonempty types X,Y,ZX,Y,ZX,Y,Z, each equipped with a finite enumeration, and any positive semidefinite complex matrix ρ\rhoρ of trace 111 indexed by X×(Y×Z)X\times(Y\times Z)X×(Y×Z), define matrices

(ρAB)(a,b),(a′,b′)=∑c∈Zρ(a,(b,c)),(a′,(b′,c)),(ρAC)(a,c),(a′,c′)=∑b∈Yρ(a,(b,c)),(a′,(b,c′)),(ρBC)(b,c),(b′,c′)=∑a∈Xρ(a,(b,c)),(a,(b′,c′)),(ρA)a,a′=∑b∈Y(ρAB)(a,b),(a′,b),(ρB)b,b′=∑a∈X(ρAB)(a,b),(a,b′),(ρC)c,c′=∑a∈X(ρAC)(a,c),(a,c′).\begin{aligned} (\rho_{AB})_{(a,b),(a',b')}&=\sum_{c\in Z}\rho_{(a,(b,c)),(a',(b',c))},\\ (\rho_{AC})_{(a,c),(a',c')}&=\sum_{b\in Y}\rho_{(a,(b,c)),(a',(b,c'))},\\ (\rho_{BC})_{(b,c),(b',c')}&=\sum_{a\in X}\rho_{(a,(b,c)),(a,(b',c'))},\\ (\rho_A)_{a,a'}&=\sum_{b\in Y}(\rho_{AB})_{(a,b),(a',b)},\\ (\rho_B)_{b,b'}&=\sum_{a\in X}(\rho_{AB})_{(a,b),(a,b')},\\ (\rho_C)_{c,c'}&=\sum_{a\in X}(\rho_{AC})_{(a,c),(a,c')}. \end{aligned}(ρAB​)(a,b),(a′,b′)​(ρAC​)(a,c),(a′,c′)​(ρBC​)(b,c),(b′,c′)​(ρA​)a,a′​(ρB​)b,b′​(ρC​)c,c′​​=c∈Z∑​ρ(a,(b,c)),(a′,(b′,c))​,=b∈Y∑​ρ(a,(b,c)),(a′,(b,c′))​,=a∈X∑​ρ(a,(b,c)),(a,(b′,c′))​,=b∈Y∑​(ρAB​)(a,b),(a′,b)​,=a∈X∑​(ρAB​)(a,b),(a,b′)​,=a∈X∑​(ρAC​)(a,c),(a,c′)​.​

For each of these matrices σ\sigmaσ, put S(σ)=−Re⁡tr⁡f(σ)S(\sigma)=-\operatorname{Re}\operatorname{tr}f(\sigma)S(σ)=−Retrf(σ), with f(u)=ulog⁡2uf(u)=u\log_2uf(u)=ulog2​u applied by functional calculus and 0log⁡20=00\log_2 0=00log2​0=0. Write sAB=S(ρAB)s_{AB}=S(\rho_{AB})sAB​=S(ρAB​), sAC=S(ρAC)s_{AC}=S(\rho_{AC})sAC​=S(ρAC​), sBC=S(ρBC)s_{BC}=S(\rho_{BC})sBC​=S(ρBC​), sA=S(ρA)s_A=S(\rho_A)sA​=S(ρA​), sB=S(ρB)s_B=S(\rho_B)sB​=S(ρB​), sC=S(ρC)s_C=S(\rho_C)sC​=S(ρC​), and sABC=S(ρ)s_{ABC}=S(\rho)sABC​=S(ρ), and set

α=sAB+sBC−sABC−sB,β=sAC+sBC−sABC−sC.\alpha=s_{AB}+s_{BC}-s_{ABC}-s_B,\qquad \beta=s_{AC}+s_{BC}-s_{ABC}-s_C.α=sAB​+sBC​−sABC​−sB​,β=sAC​+sBC​−sABC​−sC​.

Then all three assertions hold:

2(sAC−sC)+α=(sAB−sB)+(sAC−sC)+β,0≤(sAB−sB)+(sAC−sC)+β,α=0 ⟹ [∃m∈N, w0,…,wm−1∈R, P0,…,Pm−1∈CX×X, Q0,…,Qm−1∈CZ×Z:wj≥0 for all j,∑j=0m−1wj=1,Pj,Qj are positive semidefinite and have trace 1 for all j,ρAC=∑j=0m−1wj(Pj⊗Qj),0≤sAC−sC.]\begin{gathered} 2(s_{AC}-s_C)+\alpha =(s_{AB}-s_B)+(s_{AC}-s_C)+\beta,\\ 0\le(s_{AB}-s_B)+(s_{AC}-s_C)+\beta,\\ \alpha=0\ \Longrightarrow\ \left[ \begin{array}{l} \displaystyle \exists m\in\mathbb N,\ w_0,\ldots,w_{m-1}\in\mathbb R,\ P_0,\ldots,P_{m-1}\in\mathbb C^{X\times X},\ Q_0,\ldots,Q_{m-1}\in\mathbb C^{Z\times Z}:\\ \displaystyle w_j\ge0\text{ for all }j,\quad \sum_{j=0}^{m-1}w_j=1,\quad P_j,Q_j\text{ are positive semidefinite and have trace }1\text{ for all }j,\\ \displaystyle \rho_{AC}=\sum_{j=0}^{m-1}w_j(P_j\otimes Q_j), \qquad 0\le s_{AC}-s_C. \end{array} \right] \end{gathered}2(sAC​−sC​)+α=(sAB​−sB​)+(sAC​−sC​)+β,0≤(sAB​−sB​)+(sAC​−sC​)+β,α=0 ⟹ ​∃m∈N, w0​,…,wm−1​∈R, P0​,…,Pm−1​∈CX×X, Q0​,…,Qm−1​∈CZ×Z:wj​≥0 for all j,j=0∑m−1​wj​=1,Pj​,Qj​ are positive semidefinite and have trace 1 for all j,ρAC​=j=0∑m−1​wj​(Pj​⊗Qj​),0≤sAC​−sC​.​​​

Here (Pj⊗Qj)(a,c),(a′,c′)=(Pj)a,a′(Qj)c,c′(P_j\otimes Q_j)_{(a,c),(a',c')}=(P_j)_{a,a'}(Q_j)_{c,c'}(Pj​⊗Qj​)(a,c),(a′,c′)​=(Pj​)a,a′​(Qj​)c,c′​. The weight normalization excludes m=0m=0m=0. The quantity sAs_AsA​ is defined but does not occur in these conclusions.

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).

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