A skew-symmetric matrix of odd size has eigenvalue 0
ProvedUnQuantumMechanics.skew_symm_odd_zero_eigenvalueLet be odd and let be a real matrix with . Then is an eigenvalue of : there is a nonzero with
In the paper this is the reason why a full-rank structure matrix requires an even number of dynamical variables.
import Mathlib import Definitions.Def_UnQM_phase_space open Matrix
namespace UnQuantumMechanics
theorem skew_symm_odd_zero_eigenvalue {ν : ℕ} (hν : Odd ν) (J : Matrix (Fin ν) (Fin ν) ℝ)
(hJ : Jᵀ = -J) :
Module.End.HasEigenvalue (Matrix.toLin' J) 0 := 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 odd natural number and every real matrix with , the number is an eigenvalue of the linear map , ; that is, there exists a nonzero real vector with . Since is odd, , so the space is nonzero.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.