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Theorem 1 (part) — EQ-HS ⇔\Leftrightarrow⇔ EQ-MEAS

Proved
ProjectiveMeasurementEquilibration.eqHS_iff_eqMeas

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

hilbert-schmidtprojective-measurementquantum-mechanics

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. For every map Φ\PhiΦ on matrices, condition EQ-HS (for every density matrix ρ\rhoρ, Φ(ρ)\Phi(\rho)Φ(ρ) is a density matrix commuting with XXX minimizing ∥ρ−σ∥HS2\|\rho-\sigma\|_{HS}^2∥ρ−σ∥HS2​ among density matrices σ\sigmaσ commuting with XXX) holds if and only if condition EQ-MEAS (Φ(ρ)=∑xPxρPx\Phi(\rho)=\sum_xP_x\rho P_xΦ(ρ)=∑x​Px​ρPx​ for every density matrix ρ\rhoρ) holds. In particular PX(ρ)\mathcal P_X(\rho)PX​(ρ) is the unique such minimizer.

Preamble
import Mathlib
import Definitions.Def_pme_quantum_basics
import Definitions.Def_pme_measurement_conditions

open Matrix Filter Topology
Formal statement
namespace ProjectiveMeasurementEquilibration

theorem eqHS_iff_eqMeas {n : Type} [Fintype n] [DecidableEq n] {X : Matrix n n ℂ} (hX : X.IsHermitian)
    (Φ : Matrix n n ℂ → Matrix n n ℂ) :
    EqHS X Φ ↔ EqMeas hX 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 and its proof (EQ-HS ⇔ EQ-MEAS), pp. 2–3
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, Hermitian 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 following are equivalent:

(i) for every density matrix ρ\rhoρ: Φ(ρ)\Phi(\rho)Φ(ρ) is a density matrix, XΦ(ρ)=Φ(ρ)XX\Phi(\rho)=\Phi(\rho)XXΦ(ρ)=Φ(ρ)X, 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 with Xσ=σXX\sigma=\sigma XXσ=σX;

(ii) for every density matrix ρ\rhoρ: Φ(ρ)=∑x∈ΛPxρPx\Phi(\rho)=\sum_{x\in\Lambda}P_x\rho P_xΦ(ρ)=∑x∈Λ​Px​ρPx​.

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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