Stability and causality criteria in linear mode analysis: stability means causality
Dong-Lin Wang, Shi Pu

TL;DR
This paper demonstrates that in linear mode analysis of relativistic many-body systems, stability guarantees causality, and both criteria are invariant across inertial frames, with updated conditions for 3+1 dimensions.
Contribution
It introduces an improved causality criterion and an updated stability criterion for 3+1 dimensional systems, establishing their invariance across inertial frames.
Findings
Stability implies causality in linear mode analysis.
Updated criteria are valid in all inertial frames.
Criteria are specifically refined for 3+1 dimensional systems.
Abstract
Causality and stability are fundamental requirements for the differential equations describing predictable relativistic many-body systems. In this work, we investigate the stability and causality criteria in linear mode analysis. We discuss the updated stability criterion in 3+1 dimensional systems and introduce the improved sufficient criterion for causality. Our findings clearly demonstrate that stability implies causality in linear mode analysis. Furthermore, based on the theorems present in this work, we conclude that if updated stability criterion and improved causality criterion are fulfilled in one inertial frame of reference (IFR), they hold for all IFR.
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Taxonomy
TopicsSpectroscopy and Quantum Chemical Studies · Electron Spin Resonance Studies · Solid-state spectroscopy and crystallography
