Effective ergodicity breaking phase transition in a driven-dissipative system

Sakib Matin, Chon-Kit Pun, Harvey Gould, and W. Klein
Phys. Rev. E 101, 022103 – Published 4 February 2020

Abstract

We show that the Olami-Feder-Christensen model exhibits an effective ergodicity breaking transition as the noise is varied. Above the critical noise, the system is effectively ergodic because the time-averaged stress on each site converges to the global spatial average. In contrast, below the critical noise, the stress on individual sites becomes trapped in different limit cycles, and the system is not ergodic. To characterize this transition, we use ideas from the study of dynamical systems and compute recurrence plots and the recurrence rate. The order parameter is identified as the recurrence rate averaged over all sites and exhibits a jump at the critical noise. We also use ideas from percolation theory and analyze the clusters of failed sites to find numerical evidence that the transition, when approached from above, can be characterized by exponents that are consistent with hyperscaling.

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  • Received 2 August 2019
  • Accepted 2 January 2020

DOI:https://doi.org/10.1103/PhysRevE.101.022103

©2020 American Physical Society

Physics Subject Headings (PhySH)

Nonlinear DynamicsStatistical Physics & Thermodynamics

Authors & Affiliations

Sakib Matin1, Chon-Kit Pun1, Harvey Gould1,2, and W. Klein1,3

  • 1Department of Physics, Boston University, Boston, Massachusetts 02215, USA
  • 2Department of Physics, Clark University, Worcester, Massachusetts 01610, USA
  • 3Center for Computational Science, Boston University, Boston, Massachusetts 02215, USA

See Also

Prediction in a driven-dissipative system displaying a continuous phase transition using machine learning

Chon-Kit Pun, Sakib Matin, W. Klein, and Harvey Gould
Phys. Rev. E 101, 022102 (2020)

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Vol. 101, Iss. 2 — February 2020

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