On Entropic Characterization of Symmetry Breaking in Dynamical Systems I: Spontaneous Symmetry Breaking
Subhrajit Sinha, Parvathi Kooloth
TL;DR
This work introduces an entropy-based framework to analyze symmetry breaking in dynamical systems, linking the approach to instability with Shannon entropy growth and critical slowing down. It shows that local SSB induces a monotone increase in entropy as a symmetric equilibrium loses stability, while global SSB produces a discontinuous entropy jump tied to ergodic decomposition and a reorganization of invariant measures. The authors further connect entropy dynamics to directional information transfer, proving monotonic amplification under linear-Gaussian assumptions and validating the approach with Duffing and Stommel models as concrete demonstrations. Collectively, the framework provides theoretical and computational tools for early-warning diagnostics and mechanistic insights into symmetry-breaking transitions, with potential applicability to a broad class of dynamical systems via the Perron–Frobenius and Koopman formalisms.
Abstract
We develop an entropy based framework for analyzing symmetry breaking in dynamical systems. Information transfer, which measures the directional exchange of entropy between observables, provides a quantitative early indicator of symmetry loss. For local spontaneous symmetry breaking (SSB), we show that as a symmetric equilibrium approaches instability, trajectories exhibit pronounced critical slowing down accompanied by a rise in Shannon entropy. This establishes a direct link between symmetry loss, slowing down, and entropy growth. We further characterize the entropy discontinuity associated with global symmetry breaking (GSSB) through an ergodic decomposition viewpoint. Numerical examples illustrate that entropy and information transfer measures serve as reliable precursors and diagnostics of symmetry breaking transitions.
