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Theorem 8: adjoint logarithm characterization of equality

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QAlgorithms.Papers.Independent.Intakethird100.P51.dataProcessingEquality

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

prove2quantum

Let Φ\PhiΦ be a finite CPTP map and let ρ,γ>0\rho,\gamma>0ρ,γ>0 be normalized input states. Define L=log⁡Φ(ρ)−log⁡Φ(γ)L=\log\Phi(\rho)-\log\Phi(\gamma)L=logΦ(ρ)−logΦ(γ) on their common output support and extend LLL by zero to its orthogonal complement. Let Φ^\widehat\PhiΦ be the actual Hilbert–Schmidt adjoint. Then

H(Φ(ρ),Φ(γ))=H(ρ,γ)  ⟺  log⁡ρ−log⁡γ=Φ^(L).H(\Phi(\rho),\Phi(\gamma))=H(\rho,\gamma)\iff\log\rho-\log\gamma=\widehat\Phi(L).H(Φ(ρ),Φ(γ))=H(ρ,γ)⟺logρ−logγ=Φ(L).

This is the adjoint-logarithm characterization of equality, preserving all finite channels and using compressed output calculus.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P51
Formal statement
noncomputable section

open scoped Matrix ComplexOrder ComplexConjugate Matrix.Norms.L2Operator

open MeasureTheory

namespace QAlgorithms.Papers.Independent.Intakethird100.P51

attribute [local instance] Classical.propDecidable Classical.decEq

-- Exact interfaces from the frozen accepted library; no local redeclarations.

open QAlgorithms.Papers.Independent.Information100.P63 (Mat)

open QAlgorithms.Papers.Independent.Information100.P56 (entropy holevo IsLaw)

open QAlgorithms.Papers.Independent.Information100.P27 (average)

open QAlgorithms.Papers.Independent.Dependency50.P21 (relativeEntropy marginalAB channelAdjoint)

open QAlgorithms.Papers.Independent.Dependency50.P35 (marginalAC)

open QAlgorithms.Papers.Independent.Gap48.P19 (shannonNats)

open QAlgorithms.Papers.Independent.Gap48.P33 (measurementInformation)

section Statements

variable {A B C D J K O : Type}

variable [Fintype A] [Fintype B] [Fintype C] [Fintype D] [Fintype J] [Fintype K] [Fintype O]

variable [DecidableEq A] [DecidableEq B] [DecidableEq C] [DecidableEq D]

variable [DecidableEq J] [DecidableEq K] [DecidableEq O]

/-- Theorem 8, equation (40), PDF pp.15–17: actual adjoint and supported output
logarithms. For faithful inputs the two outputs have common support supp(Phi I),
so the cfc log difference is the unique zero extension from this support. -/
theorem dataProcessingEquality [Nonempty A] [Nonempty B] (Phi : Superop A B) (hPhi : IsChannel Phi) (rho gamma : Mat A)
    (hr : FaithfulDensity rho) (hg : FaithfulDensity gamma) :
    (relativeEntropy (Phi rho) (Phi gamma)).toReal = (relativeEntropy rho gamma).toReal ↔
      logMatrix rho - logMatrix gamma =
        channelAdjoint Phi (logMatrix (Phi rho) - logMatrix (Phi gamma)) := by sorry

end Statements

end QAlgorithms.Papers.Independent.Intakethird100.P51

end
Source
Inequalities for Quantum Entropy: A Review with Conditions for Equality, arXiv:quant-ph/0205064v2, PDF p. 15, Theorem 8: adjoint logarithm characterization of equality
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What the Lean code literally says, in plain math · gpt-6.1-sol

For finite nonempty index types A,BA,BA,B, with decidable equality as used in the matrix definitions, let Φ:Mat⁡A(C)→Mat⁡B(C)\Phi:\operatorname{Mat}_A(\mathbb C)\to\operatorname{Mat}_B(\mathbb C)Φ:MatA​(C)→MatB​(C) have a finite Kraus representation Φ(X)=∑iEiXEi†\Phi(X)=\sum_iE_iXE_i^\daggerΦ(X)=∑i​Ei​XEi†​ satisfying ∑iEi†Ei=IA\sum_iE_i^\dagger E_i=I_A∑i​Ei†​Ei​=IA​, and let ρ,γ\rho,\gammaρ,γ be positive definite matrices of trace one on AAA. Then

DR(Φρ∥Φγ)=DR(ρ∥γ)⟺log⁡ρ−log⁡γ=Φ♯ ⁣(log⁡(Φρ)−log⁡(Φγ)).D_{\mathbb R}(\Phi\rho\Vert\Phi\gamma)=D_{\mathbb R}(\rho\Vert\gamma) \quad\Longleftrightarrow\quad \log\rho-\log\gamma =\Phi^\sharp\!\left(\log(\Phi\rho)-\log(\Phi\gamma)\right).DR​(Φρ∥Φγ)=DR​(ρ∥γ)⟺logρ−logγ=Φ♯(log(Φρ)−log(Φγ)).

The logarithms are continuous-functional-calculus logarithms using ln⁡0=0\ln0=0ln0=0, so they are defined even when an output is singular. For a matrix YYY on BBB, the map on the right is explicitly

[Φ♯(Y)]ij=∑k,l∈B[Φ(Eij)]kl‾ Ykl,[\Phi^\sharp(Y)]_{ij} =\sum_{k,l\in B}\overline{[\Phi(E_{ij})]_{kl}}\,Y_{kl},[Φ♯(Y)]ij​=k,l∈B∑​[Φ(Eij​)]kl​​Ykl​,

where EijE_{ij}Eij​ is the matrix unit on AAA. The extended-real D(X∥Y)D(X\Vert Y)D(X∥Y) equals Re⁡tr⁡[f(X)−Xlog⁡Y]\operatorname{Re}\operatorname{tr}[f(X)-X\log Y]Retr[f(X)−XlogY], with f(x)=xln⁡xf(x)=x\ln xf(x)=xlnx, if ker⁡Y⊆ker⁡X\ker Y\subseteq\ker XkerY⊆kerX, and equals +∞+\infty+∞ otherwise; DRD_{\mathbb R}DR​ denotes its real conversion, which sends +∞+\infty+∞ to zero.

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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