Exact large deviation statistics and trajectory phase transition of a deterministic boundary driven cellular automaton.


Journal

Physical review. E
ISSN: 2470-0053
Titre abrégé: Phys Rev E
Pays: United States
ID NLM: 101676019

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 14 01 2019
entrez: 3 10 2019
pubmed: 3 10 2019
medline: 3 10 2019
Statut: ppublish

Résumé

We study the statistical properties of the long-time dynamics of the rule 54 reversible cellular automaton (CA), driven stochastically at its boundaries. This CA can be considered as a discrete-time and deterministic version of the Fredrickson-Andersen kinetically constrained model (KCM). By means of a matrix product ansatz, we compute the exact large deviation cumulant generating functions for a wide range of time-extensive observables of the dynamics, together with their associated rate functions and conditioned long-time distributions over configurations. We show that for all instances of boundary driving the CA dynamics occurs at the point of phase coexistence between competing active and inactive dynamical phases, similar to what happens in more standard KCMs. We also find the exact finite size scaling behavior of these trajectory transitions, and provide the explicit "Doob-transformed" dynamics that optimally realizes rare dynamical events.

Identifiants

pubmed: 31574613
doi: 10.1103/PhysRevE.100.020103
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

020103

Auteurs

Berislav Buča (B)

Clarendon Laboratory, University of Oxford, Parks Road, Oxford OX1 3PU, United Kingdom.

Juan P Garrahan (JP)

School of Physics and Astronomy and Centre for the Mathematics and Theoretical Physics of Quantum Non-Equilibrium Systems, University of Nottingham, Nottingham NG7 2RD, United Kingdom.

Tomaž Prosen (T)

Faculty of Mathematics and Physics, University of Ljubljana, Jadranska 19, SI-1000 Ljubljana, Slovenia.

Matthieu Vanicat (M)

Faculty of Mathematics and Physics, University of Ljubljana, Jadranska 19, SI-1000 Ljubljana, Slovenia.

Classifications MeSH