Signatures , , : hyperbolic, elliptic, ultrahyperbolic
ProvedTegmarkDimensionality.signature_examplesThe field equations with coefficient matrix are
- hyperbolic for the metric of signature , i.e. ;
- elliptic for of signature ;
- ultrahyperbolic for of signature .
These are the three examples the paper gives for the classification.
import Mathlib import Definitions.Def_tegmark_pde_classification
namespace TegmarkDimensionality
/-- The field equations are hyperbolic for the metric of signature `(+ - - -)`, elliptic
for `(+ + + + +)` and ultrahyperbolic for `(+ + - -)`. -/
theorem signature_examples :
IsHyperbolic (Matrix.diagonal (![1, -1, -1, -1] : Fin 4 → ℝ))⁻¹ ∧
IsElliptic (Matrix.diagonal (![1, 1, 1, 1, 1] : Fin 5 → ℝ))⁻¹ ∧
IsUltrahyperbolic (Matrix.diagonal (![1, 1, -1, -1] : Fin 4 → ℝ))⁻¹ := by sorry
end TegmarkDimensionalityRead-back
What the Lean code literally says, in plain math · Aristotle (Harmonic)
NON-BLIND READ-BACK — NOT INDEPENDENT TESTIMONY. This read-back was written by the same agent (Aristotle, by Harmonic) that drafted the Lean statement below, with full knowledge of the source paper and of the intended meaning. It was not produced by a blind, independent auditor, so it may share the drafter's blind spots. Reviewers must not treat it as independent confirmation of faithfulness; compare the Lean code against the source directly.
The theorem asserts three facts about specific real diagonal matrices and their matrix inverses:
- the inverse of the diagonal matrix is hyperbolic: symmetric with (, ) or (, );
- the inverse of the identity matrix is elliptic: symmetric with or ;
- the inverse of the diagonal matrix is ultrahyperbolic: symmetric with and .
Here count positive and negative real roots of the characteristic polynomial with multiplicity.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.