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Statistical physics of long dynamical trajectories for a system in contact with several thermal reservoirs

Published 9 Jun 2019 in cond-mat.stat-mech, math-ph, and math.MP | (1906.03606v2)

Abstract: For a system in contact with several reservoirs $r$ at different inverse-temperatures $\beta_r$, we describe how the Markov jump dynamics with the generalized detailed balance condition can be analyzed via a statistical physics approach of dynamical trajectories $[{\cal C}(t)]_{0 \leq t \leq T} $ over a long time interval $T \to + \infty$. The relevant intensive variables are the time-empirical density $\rho(\cal C)$, that measures the fractions of time spent in the various configurations ${\cal C}$, and the time-empirical jump densities $k_r ({\cal C', \cal C}) $, that measure the frequencies of jumps from configuration ${\cal C} $ to configuration ${\cal C '} $ when it is the reservoir $r$ that furnishes or absorbs the corresponding energy difference ($E({\cal C '})- E({\cal C })$).

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