Stationarity, time--reversal and fluctuation theory for a class of piecewise deterministic Markov processes

dc.creatorFaggionato, Alessandra
dc.creatorGabrielli, Davide
dc.creatorCrivellari, Marco Ribezzi
dc.date2009-02-24
dc.date.accessioned2026-07-07T12:46:16Z
dc.date.available2026-07-07T12:46:16Z
dc.descriptionWe consider a class of stochastic dynamical systems, called piecewise deterministic Markov processes, with states $(x, \s)\in Ø\times \G$, $Ø$ being a region in $\bbR^d$ or the $d$--dimensional torus, $\G$ being a finite set. The continuous variable $x$ follows a piecewise deterministic dynamics, the discrete variable $\s$ evolves by a stochastic jump dynamics and the two resulting evolutions are fully--coupled. We study stationarity, reversibility and time--reversal symmetries of the process. Increasing the frequency of the $\s$--jumps, we show that the system behaves asymptotically as deterministic and we investigate the structure of fluctuations (i.e. deviations from the asymptotic behavior), recovering in a non Markovian frame results obtained by Bertini et al. \cite{BDGJL1, BDGJL2, BDGJL3, BDGJL4}, in the context of Markovian stochastic interacting particle systems. Finally, we discuss a Gallavotti--Cohen--type symmetry relation with involution map different from time--reversal. For several examples the above results are recovered by explicit computations.
dc.description45 pages
dc.identifierhttps://arxiv.org/abs/0902.4195
dc.identifierhttp://arxiv.org/abs/0902.4195
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/221323
dc.subjectStatistical Mechanics
dc.subjectMathematical Physics
dc.subjectProbability
dc.titleStationarity, time--reversal and fluctuation theory for a class of piecewise deterministic Markov processes
dc.typetext

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