Proof of Theorem 1 — with equality iff
ProvedProjectiveMeasurementEquilibration.relEntropy_nonneg_and_eq_zero_iffFor density matrices on ( finite), the relative entropy is non-negative, and if and only if (Klein's inequality with its equality case). This is the fact used in the source when it says that the last term of (12) "is non-negative and vanishes if and only if ".
import Mathlib import Definitions.Def_pme_quantum_basics import Definitions.Def_pme_measurement_conditions open Matrix Filter Topology
namespace ProjectiveMeasurementEquilibration
theorem relEntropy_nonneg_and_eq_zero_iff {n : Type} [Fintype n] [DecidableEq n] (ρ σ : Matrix n n ℂ)
(hρ : IsDensityMatrix ρ) (hσ : IsDensityMatrix σ) :
0 ≤ relEntropy ρ σ ∧ (relEntropy ρ σ = 0 ↔ ρ = σ) := by sorry
end ProjectiveMeasurementEquilibrationRead-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 and density matrices (no observable involved): in the extended reals, and if and only if . Here when and otherwise.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.