Equilibrium fluctuations for the weakly ...
Document type :
Pré-publication ou Document de travail
Title :
Equilibrium fluctuations for the weakly asymmetric discrete Atlas model
Author(s) :
Hernández, F [Auteur]
Universidade Federal Fluminense [Rio de Janeiro] [UFF]
Simon, Marielle [Auteur]
Quantitative methods for stochastic models in physics [MEPHYSTO]
Universidade Federal Fluminense [Rio de Janeiro] [UFF]
Simon, Marielle [Auteur]
Quantitative methods for stochastic models in physics [MEPHYSTO]
HAL domain(s) :
Mathématiques [math]/Probabilités [math.PR]
Mathématiques [math]/Physique mathématique [math-ph]
Mathématiques [math]/Physique mathématique [math-ph]
English abstract : [en]
This contribution aims at presenting and generalizing a recent work of Hernández, Jara and Valentim [10]. We consider the weakly asymmetric version of the so-called discrete Atlas model, which has been introduced in [10]. ...
Show more >This contribution aims at presenting and generalizing a recent work of Hernández, Jara and Valentim [10]. We consider the weakly asymmetric version of the so-called discrete Atlas model, which has been introduced in [10]. Precisely, we look at some equilibrium fluctuation field of a weakly asymmetric zero-range process which evolves on a discrete half-line, with a source of particles at the origin. We prove that its macroscopic evolution is governed by a stochastic heat equation with Neumann or Robin boundary conditions, depending on the range of the parameters of the model.Show less >
Show more >This contribution aims at presenting and generalizing a recent work of Hernández, Jara and Valentim [10]. We consider the weakly asymmetric version of the so-called discrete Atlas model, which has been introduced in [10]. Precisely, we look at some equilibrium fluctuation field of a weakly asymmetric zero-range process which evolves on a discrete half-line, with a source of particles at the origin. We prove that its macroscopic evolution is governed by a stochastic heat equation with Neumann or Robin boundary conditions, depending on the range of the parameters of the model.Show less >
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