What question did this study set out to answer?

The research aims to explore how sparse Fisher information matrices select Lorentzian signatures through a spectral gap mechanism.

March 1, 2026Open Access

Spectral Gap Selection of Lorentzian Signature from Observer Fisher Information Geometry

Key Points

The research aims to explore how sparse Fisher information matrices select Lorentzian signatures through a spectral gap mechanism.
Analyzed sparse Fisher information matrices for Ising-type models
Utilized spectral gap analysis to identify Lorentzian signatures
Established stability bounds for the matrices
Demonstrated W(q=1) > W(q>=2) for the matrices
Reinforced the preference for Lorentzian signatures in sparse information matrices
Provided explicit stability bounds confirming the findings

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.

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Cite this study

Max Zhuravlev (Fri,) studied this question.

www.synapsesocial.com/papers/69a3d89aec16d51705d2fa38 — DOI: https://doi.org/10.5281/zenodo.18807270

Spectral Gap Selection of Lorentzian Signature from Observer Fisher Information Geometry

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Authors

Actions

References and Citations

Citation Network

Connected Papers

Discussion

Also consider