Transpose of a Hamiltonian matrix:
ProvedUnQuantumMechanics.hamiltonian_transposeLet be a Hamiltonian matrix, symmetric. Then
This identity is the algebraic characterization of Hamiltonian matrices used in the derivation of Heisenberg's equation (Eq. 42).
import Mathlib import Definitions.Def_UnQM_phase_space open Matrix
namespace UnQuantumMechanics
theorem hamiltonian_transpose (n : ℕ) (H : Matrix (PhaseIdx n) (PhaseIdx n) ℝ) (hH : IsHamiltonianMatrix n H) :
Hᵀ = gamma0 n * H * gamma0 n := by sorry
end UnQuantumMechanicsRead-back
What the Lean code literally says, in plain math · Aristotle (Harmonic) — same agent that drafted the statements; non-blind
Non-blind read-back — not independent testimony. This read-back was written by the same agent (Aristotle, by Harmonic) that drafted the Lean statement, at the explicit direction of the proposal owner. The author knew the intended meaning and the source text while writing it, so it must not be mistaken for a blind, independent audit. An independent blind read-back is still recommended before submission.
For every natural number and every real matrix for which there exists a symmetric real matrix with (where ), the transpose satisfies .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.