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Theorem 6: monotonicity under partial trace and corrected equality

Open
QAlgorithms.Papers.Independent.Intakethird100.P51.partialTraceMonotonicity

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

prove2quantum

Let ρ12,γ12>0\rho_{12},\gamma_{12}>0ρ12​,γ12​>0 have equal trace, without requiring trace one. Put ρ2=Tr⁡1ρ12\rho_2=\operatorname{Tr}_1\rho_{12}ρ2​=Tr1​ρ12​ and γ2=Tr⁡1γ12\gamma_2=\operatorname{Tr}_1\gamma_{12}γ2​=Tr1​γ12​. Then

H(ρ2,γ2)≤H(ρ12,γ12),H(\rho_2,\gamma_2)\le H(\rho_{12},\gamma_{12}),H(ρ2​,γ2​)≤H(ρ12​,γ12​),

with equality if and only if

log⁡ρ12−log⁡γ12=I1⊗(log⁡ρ2−log⁡γ2).\log\rho_{12}-\log\gamma_{12}=I_1\otimes(\log\rho_2-\log\gamma_2).logρ12​−logγ12​=I1​⊗(logρ2​−logγ2​).

This is the proof-forced correction of the conflicting signs printed after Theorem 6, and agrees with equation (40). The correction requires independent moderation.

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 6, PDF p.13, CORRECTED SOURCE SIGN: the printed equality condition
has both a plus-sign version and a reversed difference. The proof's
log B = log gamma12 - log gamma2 + log rho2 forces the difference below,
consistent with (40). No normalization or equal-trace condition is omitted. -/
theorem partialTraceMonotonicity [Nonempty A] [Nonempty B] (rho gamma : Mat (A × B))
    (hr : rho.PosDef) (hg : gamma.PosDef) (ht : rho.trace = gamma.trace) :
    (relativeEntropy (traceLeft rho) (traceLeft gamma)).toReal ≤ (relativeEntropy rho gamma).toReal ∧
      ((relativeEntropy (traceLeft rho) (traceLeft gamma)).toReal = (relativeEntropy rho gamma).toReal ↔
        logMatrix rho - logMatrix gamma =
          Matrix.kronecker (1 : Mat A) (logMatrix (traceLeft rho) - logMatrix (traceLeft 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. 13, Theorem 6: monotonicity under partial trace and corrected 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, let ρ,γ\rho,\gammaρ,γ be positive definite complex matrices on A×BA\times BA×B whose traces are equal; their common trace is unrestricted. Put ρB=Tr⁡Aρ\rho_B=\operatorname{Tr}_A\rhoρB​=TrA​ρ and γB=Tr⁡Aγ\gamma_B=\operatorname{Tr}_A\gammaγB​=TrA​γ, with partial traces defined by summing over AAA. For these positive definite matrices, write D(X∥Y)=Re⁡tr⁡(f(X)−Xlog⁡Y)D(X\|Y)=\operatorname{Re}\operatorname{tr}(f(X)-X\log Y)D(X∥Y)=Retr(f(X)−XlogY), where f(x)=xlog⁡xf(x)=x\log xf(x)=xlogx and matrix functions use continuous functional calculus with natural logarithms; these are the real values of the declaration’s extended relative entropies. Then

D(ρB∥γB)≤D(ρ∥γ),D(\rho_B\|\gamma_B)\le D(\rho\|\gamma),D(ρB​∥γB​)≤D(ρ∥γ),

and equality holds if and only if

log⁡ρ−log⁡γ=IA⊗(log⁡ρB−log⁡γB).\log\rho-\log\gamma =I_A\otimes(\log\rho_B-\log\gamma_B).logρ−logγ=IA​⊗(logρB​−logγB​).

Singleton registers 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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