Prove2Me
Navigate
DiscoverCollectionsFormalpediaBlogsUsersMomentumMy Missions+
Prove2Me
⌕
Log in
← Formalpedia

Equation (7), proved in Section 5.3: CPTP data processing

Open
QAlgorithms.Papers.Independent.Intakethird100.P51.dataProcessing

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

prove2quantum

Let Φ\PhiΦ be any finite CPTP map, possibly between different dimensions, and let ρ,γ>0\rho,\gamma>0ρ,γ>0 be normalized states. Then

H(Φ(ρ),Φ(γ))≤H(ρ,γ).H(\Phi(\rho),\Phi(\gamma))\le H(\rho,\gamma).H(Φ(ρ),Φ(γ))≤H(ρ,γ).

The outputs are faithful on their common support supp⁡Φ(I)\operatorname{supp}\Phi(I)suppΦ(I); output logarithms are evaluated there. Thus channels with singular ambient outputs, including pure-state replacers, are included. This is quantum data processing.

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]

/-- Equation (7), PDF pp.4,15,17: all finite CPTP maps, including singular-output
and rectangular channels. Common-support calculus evaluates the output entropy. -/
theorem dataProcessing [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 := 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. 4, Equation (7), proved in Section 5.3: CPTP data processing
Read-back

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) admit a finite Kraus representation Φ(X)=∑iEiXEi†\Phi(X)=\sum_iE_iXE_i^\daggerΦ(X)=∑i​Ei​XEi†​ with ∑iEi†Ei=IA\sum_iE_i^\dagger E_i=I_A∑i​Ei†​Ei​=IA​. For all positive definite matrices ρ,γ\rho,\gammaρ,γ on AAA with tr⁡ρ=tr⁡γ=1\operatorname{tr}\rho=\operatorname{tr}\gamma=1trρ=trγ=1,

DR(Φρ∥Φγ)≤DR(ρ∥γ).D_{\mathbb R}(\Phi\rho\Vert\Phi\gamma)\le D_{\mathbb R}(\rho\Vert\gamma).DR​(Φρ∥Φγ)≤DR​(ρ∥γ).

Here DRD_{\mathbb R}DR​ is the real conversion of the extended-real function that equals Re⁡tr⁡[f(X)−Xlog⁡Y]\operatorname{Re}\operatorname{tr}[f(X)-X\log Y]Retr[f(X)−XlogY], where f(x)=xln⁡xf(x)=x\ln xf(x)=xlnx, when ker⁡Y⊆ker⁡X\ker Y\subseteq\ker XkerY⊆kerX, and equals +∞+\infty+∞ otherwise. Both matrix functions use continuous functional calculus with the total real logarithm, including ln⁡0=0\ln0=0ln0=0; real conversion sends +∞+\infty+∞ to zero. The input states are required to be positive definite, while their outputs are not required to be positive definite.

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