Solvable stationary non equilibrium states

Fuente: arXiv
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Autori principali: Carinci, Gioia, Franceschini, Chiara, Gabrielli, Davide, Giardinà, Cristian, Tsagkarogiannis, Dimitrios
Natura: Preprint
Pubblicazione: 2023
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author Carinci, Gioia
Franceschini, Chiara
Gabrielli, Davide
Giardinà, Cristian
Tsagkarogiannis, Dimitrios
author_facet Carinci, Gioia
Franceschini, Chiara
Gabrielli, Davide
Giardinà, Cristian
Tsagkarogiannis, Dimitrios
contents We consider the one dimensional boundary driven harmonic model and its continuous version, both introduced in \cite{FGK}. By combining duality and integrability the authors of \cite{FG} obtained the invariant measures in a combinatorial representation. Here we give an integral representation of the invariant measures which turns out to be a convex combination of inhomogeneous product of geometric distributions for the discrete model and a convex combination of inhomogeneous product of exponential distributions for the continuous one. The mean values of the geometric and of the exponential variables are distributed according to the order statistics of i.i.d. uniform random variables on a suitable interval fixed by the boundary sources. The result is obtained solving exactly the stationary condition written in terms of the joint generating function. The method has an interest in itself and can be generalized to study other models. We briefly discuss some applications.
format Preprint
id arxiv_https___arxiv_org_abs_2307_02793
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Solvable stationary non equilibrium states
Carinci, Gioia
Franceschini, Chiara
Gabrielli, Davide
Giardinà, Cristian
Tsagkarogiannis, Dimitrios
Probability
Statistical Mechanics
Mathematical Physics
We consider the one dimensional boundary driven harmonic model and its continuous version, both introduced in \cite{FGK}. By combining duality and integrability the authors of \cite{FG} obtained the invariant measures in a combinatorial representation. Here we give an integral representation of the invariant measures which turns out to be a convex combination of inhomogeneous product of geometric distributions for the discrete model and a convex combination of inhomogeneous product of exponential distributions for the continuous one. The mean values of the geometric and of the exponential variables are distributed according to the order statistics of i.i.d. uniform random variables on a suitable interval fixed by the boundary sources. The result is obtained solving exactly the stationary condition written in terms of the joint generating function. The method has an interest in itself and can be generalized to study other models. We briefly discuss some applications.
title Solvable stationary non equilibrium states
topic Probability
Statistical Mechanics
Mathematical Physics
url https://arxiv.org/abs/2307.02793