On Entropic Characterization of Symmetry Breaking in Dynamical Systems I: Spontaneous and Dynamical Symmetry Breaking

Fuente: arXiv
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Autores principales: Sinha, Subhrajit, Kooloth, Parvathi
Formato: Preprint
Publicado: 2025
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author Sinha, Subhrajit
Kooloth, Parvathi
author_facet Sinha, Subhrajit
Kooloth, Parvathi
contents We propose a novel framework to analyze symmetry breaking in dynamical systems through the lens of entropy and information transfer. Information transfer quantifies the directional exchange of entropy between observables, allowing us to anticipate the onset of symmetry breaking. For local symmetry breakings, namely, local Spontaneous Symmetry Breaking (SSB) and Dynamical Symmetry Breaking (DSB), we show that as a system loses symmetry, its trajectories exhibit a pronounced slowdown accompanied by an increase in Shannon entropy. This establishes a direct link between symmetry loss, dynamical slowing down, and entropy growth. We also extend the analysis to global symmetry breaking and characterize its associated entropy change. Finally, we demonstrate the efficacy of the proposed framework using representative examples, showing that information theoretic quantities can serve as reliable precursors and diagnostics of symmetry breaking transitions.
format Preprint
id arxiv_https___arxiv_org_abs_2510_03572
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On Entropic Characterization of Symmetry Breaking in Dynamical Systems I: Spontaneous and Dynamical Symmetry Breaking
Sinha, Subhrajit
Kooloth, Parvathi
Dynamical Systems
We propose a novel framework to analyze symmetry breaking in dynamical systems through the lens of entropy and information transfer. Information transfer quantifies the directional exchange of entropy between observables, allowing us to anticipate the onset of symmetry breaking. For local symmetry breakings, namely, local Spontaneous Symmetry Breaking (SSB) and Dynamical Symmetry Breaking (DSB), we show that as a system loses symmetry, its trajectories exhibit a pronounced slowdown accompanied by an increase in Shannon entropy. This establishes a direct link between symmetry loss, dynamical slowing down, and entropy growth. We also extend the analysis to global symmetry breaking and characterize its associated entropy change. Finally, we demonstrate the efficacy of the proposed framework using representative examples, showing that information theoretic quantities can serve as reliable precursors and diagnostics of symmetry breaking transitions.
title On Entropic Characterization of Symmetry Breaking in Dynamical Systems I: Spontaneous and Dynamical Symmetry Breaking
topic Dynamical Systems
url https://arxiv.org/abs/2510.03572