Large deviations for out of equilibrium correlations in the symmetric simple exclusion process - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2024

Large deviations for out of equilibrium correlations in the symmetric simple exclusion process

Résumé

For finite size Markov chains, the Donsker-Varadhan theory fully describes the large deviations of the time averaged empirical measure. We are interested in the extension of the Donsker-Varadhan theory for a large size non-equilibrium system: the one-dimensional symmetric simple exclusion process connected with reservoirs at different densities. The Donsker-Varadhan functional encodes a variety of scales depending on the observable of interest. In this paper, we focus on the time-averaged two point correlations and investigate the large deviations from the steady state behaviour. To control two point correlations out of equilibrium, the key input is the construction of a simple approximation to the invariant measure. This approximation is quantitative in time and space as estimated through relative entropy bounds building on the work of Jara and Menezes arXiv:1810.09526.
Fichier principal
Vignette du fichier
Correlations_accepted_nonEJP.pdf (1.2 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03912965 , version 1 (26-12-2022)
hal-03912965 , version 2 (02-05-2024)

Identifiants

Citer

Thierry Bodineau, Benoit Dagallier. Large deviations for out of equilibrium correlations in the symmetric simple exclusion process. 2024. ⟨hal-03912965v2⟩
23 Consultations
16 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More