Spectral Gap Selection of Lorentzian Signature from Observer Fisher Information Geometry

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Authors: Maxim Zhuravlev
Cited by: 0

Abstract

Demonstrates that sparse Fisher information matrices for Ising-type models preferentially select Lorentzian signature via a spectral gap mechanism. Proves W(q=1) > W(q>=2) for sparse matrices with explicit stability bounds.

Fields of Study & Subjects

Theoretical and Computational Physics p-Adic Analysis and Mathematical Physics Statistical Mechanics and Entropy

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 February 2026
Language
EN
Document type
Preprint