Stationary measures for the Porous Medium Model

Fuente: arXiv
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Main Author: Blondel, Oriane
Format: Preprint
Published: 2024
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author Blondel, Oriane
author_facet Blondel, Oriane
contents We study the stationary measures for variants of the Porous Medium Model in dimension 1. These are exclusion processes that belong to the class of kinetically constrained models, in which an exchange can occur between $x$ and $x+1$ only if there is a particle either at $x-1$ or $x+2$. We show that any stationary probability measure can be decomposed into a frozen part and a mixture of product measures (although there exist invariant sets which have zero probability under these measures).
format Preprint
id arxiv_https___arxiv_org_abs_2411_17524
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Stationary measures for the Porous Medium Model
Blondel, Oriane
Probability
We study the stationary measures for variants of the Porous Medium Model in dimension 1. These are exclusion processes that belong to the class of kinetically constrained models, in which an exchange can occur between $x$ and $x+1$ only if there is a particle either at $x-1$ or $x+2$. We show that any stationary probability measure can be decomposed into a frozen part and a mixture of product measures (although there exist invariant sets which have zero probability under these measures).
title Stationary measures for the Porous Medium Model
topic Probability
url https://arxiv.org/abs/2411.17524