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Theorem 1 — EQ-MEAS, EQ-LIND, EQ-HS, EQ-KL are equivalent (finite dimension)

Proved
ProjectiveMeasurementEquilibration.projective_measurement_equilibration

by Lucas · Oct 2, 2026 · Mathlib 0df444a (Lean v4.33.1)

lindbladprojective-measurementquantum-mechanicsrelative-entropy

Throughout, nnn is a finite index type, the Hilbert space is Cn\mathbb C^nCn, XXX is a Hermitian n×nn\times nn×n complex matrix with spectral decomposition X=∑xx PxX=\sum_{x} x\,P_xX=∑x​xPx​ (xxx ranging over the distinct eigenvalues, PxP_xPx​ the orthogonal projection onto the xxx-eigenspace, and Px=0P_x=0Px​=0 for xxx not an eigenvalue), and a density matrix is a positive semidefinite matrix of trace 111. Let Φ\PhiΦ be any map on matrices (the black-box spectral equilibration process ΦX\Phi_XΦX​; only its values on density matrices matter). Then the conditions

  • EQ-MEAS: Φ(ρ)=∑xPxρPx\Phi(\rho)=\sum_xP_x\rho P_xΦ(ρ)=∑x​Px​ρPx​;
  • EQ-LIND: Φ(ρ)=lim⁡t→∞ρ(t)\Phi(\rho)=\lim_{t\to\infty}\rho(t)Φ(ρ)=limt→∞​ρ(t), where dρdt=XρX−12{X2,ρ}\frac{d\rho}{dt}=X\rho X-\tfrac12\{X^2,\rho\}dtdρ​=XρX−21​{X2,ρ}, ρ(0)=ρ\rho(0)=\rhoρ(0)=ρ;
  • EQ-HS: Φ(ρ)=argmin⁡σ∈D, [σ,X]=0∥ρ−σ∥HS2\Phi(\rho)=\operatorname{argmin}_{\sigma\in D,\,[\sigma,X]=0}\|\rho-\sigma\|_{HS}^2Φ(ρ)=argminσ∈D,[σ,X]=0​∥ρ−σ∥HS2​;
  • EQ-KL: Φ(ρ)=argmin⁡σ∈D, [σ,X]=0D(ρ∥σ)\Phi(\rho)=\operatorname{argmin}_{\sigma\in D,\,[\sigma,X]=0}D(\rho\|\sigma)Φ(ρ)=argminσ∈D,[σ,X]=0​D(ρ∥σ),

each required for all density matrices ρ\rhoρ, are pairwise equivalent. This is Theorem 1 of the source specialised to finite-dimensional Hilbert spaces, where Condition [B]FINENT holds automatically.

Preamble
import Mathlib
import Definitions.Def_pme_quantum_basics
import Definitions.Def_pme_measurement_conditions

open Matrix Filter Topology
Formal statement
namespace ProjectiveMeasurementEquilibration

theorem projective_measurement_equilibration {n : Type} [Fintype n] [DecidableEq n] {X : Matrix n n ℂ}
    (hX : X.IsHermitian) (Φ : Matrix n n ℂ → Matrix n n ℂ) :
    (EqMeas hX Φ ↔ EqLind X Φ) ∧ (EqMeas hX Φ ↔ EqHS X Φ) ∧ (EqMeas hX Φ ↔ EqKL X Φ) := by sorry

end ProjectiveMeasurementEquilibration
Source
G. Carcassi (Assumptions of Physics collaboration), "Projective measurements are equilibration processes", AoP Technical Brief 017, https://assumptionsofphysics.org/resources/briefs, Theorem 1, p. 2 (proof pp. 2–4)
Read-back

What the Lean code literally says, in plain math · Aristotle (Harmonic) - same agent as the drafter; non-blind

Non-blind read-back. This read-back was written by the same agent (Aristotle, by Harmonic) that drafted the Lean statements, at the explicit request of the account owner. It is not blind and not independent testimony: the author knew the intended meaning while writing it. Reviewers should not treat it as an independent audit.

For every finite index type nnn, every Hermitian matrix X∈Mn(C)X\in M_n(\mathbb C)X∈Mn​(C) and every function Φ:Mn(C)→Mn(C)\Phi:M_n(\mathbb C)\to M_n(\mathbb C)Φ:Mn​(C)→Mn​(C), the three equivalences hold: EqMeas  ⟺  EqLind\mathrm{EqMeas}\iff\mathrm{EqLind}EqMeas⟺EqLind, EqMeas  ⟺  EqHS\mathrm{EqMeas}\iff\mathrm{EqHS}EqMeas⟺EqHS, and EqMeas  ⟺  EqKL\mathrm{EqMeas}\iff\mathrm{EqKL}EqMeas⟺EqKL, where (all quantifiers over density matrices = positive semidefinite trace-one matrices):

  • EqMeas\mathrm{EqMeas}EqMeas: Φ(ρ)=∑x∈ΛPxρPx\Phi(\rho)=\sum_{x\in\Lambda}P_x\rho P_xΦ(ρ)=∑x∈Λ​Px​ρPx​ for all ρ\rhoρ (Λ\LambdaΛ distinct eigenvalues of XXX, PxP_xPx​ eigenprojections);
  • EqLind\mathrm{EqLind}EqLind: for all ρ\rhoρ, a function ρ(⋅):R→Mn(C)\rho(\cdot):\mathbb R\to M_n(\mathbb C)ρ(⋅):R→Mn​(C) with ρ(0)=ρ\rho(0)=\rhoρ(0)=ρ and ρ′(t)=Xρ(t)X−12(X2ρ(t)+ρ(t)X2)\rho'(t)=X\rho(t)X-\tfrac12(X^2\rho(t)+\rho(t)X^2)ρ′(t)=Xρ(t)X−21​(X2ρ(t)+ρ(t)X2) within [0,∞)[0,\infty)[0,∞) for t≥0t\ge0t≥0 exists, and every such function tends entrywise to Φ(ρ)\Phi(\rho)Φ(ρ) as t→∞t\to\inftyt→∞;
  • EqHS\mathrm{EqHS}EqHS: for all ρ\rhoρ, Φ(ρ)\Phi(\rho)Φ(ρ) is a density matrix commuting with XXX and ∑ij∣ρij−Φ(ρ)ij∣2≤∑ij∣ρij−σij∣2\sum_{ij}|\rho_{ij}-\Phi(\rho)_{ij}|^2\le\sum_{ij}|\rho_{ij}-\sigma_{ij}|^2∑ij​∣ρij​−Φ(ρ)ij​∣2≤∑ij​∣ρij​−σij​∣2 for every density matrix σ\sigmaσ commuting with XXX;
  • EqKL\mathrm{EqKL}EqKL: as EqHS\mathrm{EqHS}EqHS but with D(ρ∥Φ(ρ))≤D(ρ∥σ)D(\rho\|\Phi(\rho))\le D(\rho\|\sigma)D(ρ∥Φ(ρ))≤D(ρ∥σ), DDD the extended-real relative entropy (+∞+\infty+∞ unless ker⁡σ⊆ker⁡ρ\ker\sigma\subseteq\ker\rhokerσ⊆kerρ, otherwise Re⁡tr⁡(ρ(log⁡ρ−log⁡σ))\operatorname{Re}\operatorname{tr}(\rho(\log\rho-\log\sigma))Retr(ρ(logρ−logσ)) with log⁡0=0\log0=0log0=0).

The statement is only about finite-dimensional matrices; separable infinite-dimensional Hilbert spaces and unbounded observables are not covered. When nnn is empty, all four conditions hold vacuously.

Human review
  • Endorsed by Shuze Chen · Oct 8, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Lucas · Oct 8, 2026

    Confirmed by the mission captain (proposal self-audit).

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