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Stability and causality criteria in linear mode analysis: Stability means causality

Dong-Lin Wang, Shi Pu

2024Physical review. D/Physical review. D.17 citationsDOIOpen Access PDF

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 <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mn>3</a:mn><a:mo>+</a:mo><a:mn>1</a:mn></a:math>-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. Published by the American Physical Society 2024

Topics & Concepts

Causality (physics)Stability (learning theory)Mode (computer interface)PhysicsComputer scienceQuantum mechanicsMachine learningOperating systemModel Reduction and Neural NetworksNumerical methods in inverse problemsProbabilistic and Robust Engineering Design