English

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

Statistical Mechanics 2021-05-12 v2 Mathematical Physics math.MP

Abstract

For a system in contact with several reservoirs rr at different inverse-temperatures βr\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 [C(t)]0tT[{\cal C}(t)]_{0 \leq t \leq T} over a long time interval T+T \to + \infty. The relevant intensive variables are the time-empirical density ρ(C)\rho(\cal C), that measures the fractions of time spent in the various configurations C{\cal C}, and the time-empirical jump densities kr(C,C)k_r ({\cal C', \cal C}) , that measure the frequencies of jumps from configuration C{\cal C} to configuration C{\cal C '} when it is the reservoir rr that furnishes or absorbs the corresponding energy difference (E(C)E(C)E({\cal C '})- E({\cal C })).

Keywords

Cite

@article{arxiv.1906.03606,
  title  = {Statistical physics of long dynamical trajectories for a system in contact with several thermal reservoirs},
  author = {Cecile Monthus},
  journal= {arXiv preprint arXiv:1906.03606},
  year   = {2021}
}

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15 pages