Theorem 1 (part) — EQ-HS EQ-MEAS
ProvedProjectiveMeasurementEquilibration.eqHS_iff_eqMeasThroughout, is a finite index type, the Hilbert space is , is a Hermitian complex matrix with spectral decomposition ( ranging over the distinct eigenvalues, the orthogonal projection onto the -eigenspace, and for not an eigenvalue), and a density matrix is a positive semidefinite matrix of trace . For every map on matrices, condition EQ-HS (for every density matrix , is a density matrix commuting with minimizing among density matrices commuting with ) holds if and only if condition EQ-MEAS ( for every density matrix ) holds. In particular is the unique such minimizer.
import Mathlib import Definitions.Def_pme_quantum_basics import Definitions.Def_pme_measurement_conditions open Matrix Filter Topology
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 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 , Hermitian and every function , the following are equivalent:
(i) for every density matrix : is a density matrix, , and for every density matrix with ;
(ii) for every density matrix : .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.