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Relative Petz Renyi entanglement is non-entangling monotone

Open
QAlgorithms.Papers.Independent.Intakethird100.P19.relativeRenyi_monotone

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

prove2quantum

All Hilbert spaces are finite-dimensional complex spaces with fixed product bases and positive local dimensions. States are positive semidefinite operators of trace one; pure kets have norm one. A non-entangling map is completely positive and preserves the full separable positive cone. A channel is also trace preserving. Let ρ\rhoρ be any bipartite density matrix, let Λ\LambdaΛ be a non-entangling channel, and let 0≤α≤20\le\alpha\le20≤α≤2. Define ER,αE_{R,\alpha}ER,α​ as the infimum of base-two Petz divergence over all separable density matrices. Then

ER,α(Λ(ρ))≤ER,α(ρ).E_{R,\alpha}(\Lambda(\rho))\le E_{R,\alpha}(\rho).ER,α​(Λ(ρ))≤ER,α​(ρ).

This includes the mixed-state result and both endpoints.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P19
Formal statement
noncomputable section

open QAlgorithms QAlgorithms.Entanglement Filter

open scoped Matrix ComplexOrder ComplexConjugate ENNReal

attribute [local instance] Classical.propDecidable Classical.decEq

namespace QAlgorithms.Papers.Independent.Intakethird100.P19

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

open QAlgorithms.Papers.Independent.Information100.P19 (Bip)

open QAlgorithms.Papers.Independent.Information100.P69 (CP)

open QAlgorithms.Papers.Independent.Information100.P71 (supportPower SupportIncluded)

open QAlgorithms.Papers.Independent.Dependency50.P19 (epr)

/-- PDF p.10: Petz relative-Renyi entanglement monotonicity for mixed inputs
and every order in [0,2], including the Umegaki branch. -/
theorem relativeRenyi_monotone {a b c d : ℕ}
    (ha : 0 < a) (hb : 0 < b) (hc : 0 < c) (hd : 0 < d)
    (alpha : ℝ) (h0 : 0 ≤ alpha) (h2 : alpha ≤ 2)
    (rho : Bip a b) (hrho : IsDensityMatrix rho)
    (L : Superop (Fin a × Fin b) (Fin c × Fin d)) (hL : IsChannel L) (hne : NE L) :
    relativeRenyi alpha (L rho) ≤ relativeRenyi alpha rho := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P19

end
Source
Entanglement manipulation and distillability beyond LOCC, arXiv:1711.03835v2, PDF p. 10, relative-renyi-monotonicity
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What the Lean code literally says, in plain math · gpt-6.1-sol

For positive natural numbers a,b,c,da,b,c,da,b,c,d, a real order 0≤α≤20\le\alpha\le20≤α≤2, and a positive semidefinite trace-111 matrix ρ\rhoρ on Ca⊗Cb\mathbb C^a\otimes\mathbb C^bCa⊗Cb, let LLL be a channel to Cc⊗Cd\mathbb C^c\otimes\mathbb C^dCc⊗Cd that preserves separable positive operators. Explicitly, L(X)=∑jKjXKj†L(X)=\sum_jK_jXK_j^\daggerL(X)=∑j​Kj​XKj†​ for a finite family satisfying ∑jKj†Kj=I\sum_jK_j^\dagger K_j=I∑j​Kj†​Kj​=I, and it maps every finite sum of nonnegative multiples of tensor products of density matrices to another such sum; empty sums are included. For a positive semidefinite matrix XXX, define X[t]X^{[t]}X[t] by functional calculus using x[t]=0x^{[t]}=0x[t]=0 at x=0x=0x=0 and x[t]=xtx^{[t]}=x^tx[t]=xt otherwise, including 0[0]=00^{[0]}=00[0]=0. For density matrices R,SR,SR,S, define the extended nonnegative quantity

Dα(R∥S)={max⁡{0,Re⁡Tr⁡(Rlog⁡R−Rlog⁡S)}log⁡2,α=1, ker⁡S⊆ker⁡R,+∞,α=1, ker⁡S⊈ker⁡R,+∞,α>1, ker⁡S⊈ker⁡R,max⁡ ⁣{0,log⁡2zα−1},α≠1, the preceding support obstruction is absent, z>0,+∞,α≠1, the preceding support obstruction is absent, z≤0,z=Re⁡Tr⁡(R[α]S[1−α]),D_\alpha(R\|S)= \begin{cases} \dfrac{\max\{0,\operatorname{Re}\operatorname{Tr}(R\log R-R\log S)\}}{\log2}, &\alpha=1,\ \ker S\subseteq\ker R,\\ +\infty,&\alpha=1,\ \ker S\nsubseteq\ker R,\\ +\infty,&\alpha>1,\ \ker S\nsubseteq\ker R,\\ \max\!\left\{0,\dfrac{\log_2 z}{\alpha-1}\right\}, &\alpha\ne1,\ \text{the preceding support obstruction is absent},\ z>0,\\ +\infty,&\alpha\ne1,\ \text{the preceding support obstruction is absent},\ z\le0, \end{cases} \qquad z=\operatorname{Re}\operatorname{Tr}\bigl(R^{[\alpha]}S^{[1-\alpha]}\bigr),Dα​(R∥S)=⎩⎨⎧​log2max{0,ReTr(RlogR−RlogS)}​,+∞,+∞,max{0,α−1log2​z​},+∞,​α=1, kerS⊆kerR,α=1, kerS⊈kerR,α>1, kerS⊈kerR,α=1, the preceding support obstruction is absent, z>0,α=1, the preceding support obstruction is absent, z≤0,​z=ReTr(R[α]S[1−α]),

where logarithms of matrices use functional calculus with the total real logarithm, whose value at zero is zero. Let Eα(R)E_\alpha(R)Eα​(R) be the infimum of Dα(R∥S)D_\alpha(R\|S)Dα​(R∥S) over all density matrices SSS expressible as finite nonnegative weighted sums of products of density matrices. Then

Eα(L(ρ))≤Eα(ρ)E_\alpha(L(\rho))\le E_\alpha(\rho)Eα​(L(ρ))≤Eα​(ρ)

in [0,+∞][0,+\infty][0,+∞]. Both endpoint orders 0,20,20,2 and the separate order-111 definition are included.

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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