• Medientyp: Sonstige Veröffentlichung; Bericht; E-Book
  • Titel: Dynamical phase transitions for flows on finite graphs
  • Beteiligte: Gabrielli, Davide [VerfasserIn]; Renger, D. R. Michiel [VerfasserIn]
  • Erschienen: Weierstrass Institute for Applied Analysis and Stochastics publication server, 2020
  • Sprache: Englisch
  • DOI: https://doi.org/10.20347/WIAS.PREPRINT.2746
  • Schlagwörter: 82C22 ; Large deviations -- particle systems -- phase transitions ; article ; 82C26 ; 05C21 ; 60F10
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  • Beschreibung: We study the time-averaged flow in a model of particles that randomly hop on a finite directed graph. In the limit as the number of particles and the time window go to infinity but the graph remains finite, the large-deviation rate functional of the average flow is given by a variational formulation involving paths of the density and flow. We give sufficient conditions under which the large deviations of a given time averaged flow is determined by paths that are constant in time. We then consider a class of models on a discrete ring for which it is possible to show that a better strategy is obtained producing a time-dependent path. This phenomenon, called a dynamical phase transition, is known to occur for some particle systems in the hydrodynamic scaling limit, which is thus extended to the setting of a finite graph.
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