Synchronization of thermodynamically consistent stochastic phase oscillators
Maciej Chudak, Massimiliano Esposito, Krzysztof Ptaszynski

TL;DR
This paper models two coupled stochastic oscillators as a Markov process, revealing a nonequilibrium phase transition to synchronization, with universal fluctuation scaling and novel divergence phenomena in phase covariances and entropy production.
Contribution
It introduces a simple stochastic oscillator model that captures synchronization phenomena and uncovers universal scaling laws and divergence behaviors near the phase transition.
Findings
Identification of a continuous nonequilibrium phase transition.
Divergence of phase covariances and entropy production near criticality.
Different scaling behaviors of mutual information and information flow.
Abstract
We consider a toy model of two kinetically coupled stochastic oscillators whose dynamics is described as a Markov jump process among discrete phase states. For large , it maps onto the deterministic two-oscillator Kuramoto model of synchronization. Despite its simplicity, we postulate its relevance for understanding more complex and realistic oscillator systems. In the thermodynamic limit, the model exhibits a continuous nonequilibrium phase transition between the unsynchronized and synchronized states. We show that this transition is not governed by any extremum dissipation principle -- depending on system parameters, synchronization may either reduce or enhance the dissipation. Close to the phase transition, we observe a divergent behavior of fluctuations and responses with and characterize their universal scaling behavior. In particular, the covariances of the oscillator…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
