COALESCING AND BRANCHING SIMPLE SYMMETRIC EXCLUSION PROCESS

被引:2
|
作者
Hartarsky, Ivailo [1 ]
Martinelli, Fabio [2 ]
Toninelli, Cristina [1 ]
机构
[1] PSL Univ, CEREMADE, CNRS, Univ Paris Dauphine, Paris, France
[2] Univ Roma Tre, Dipartimento Matemat & Fis, Rome, Italy
来源
ANNALS OF APPLIED PROBABILITY | 2022年 / 32卷 / 04期
关键词
Branching and coalescence; simple exclusion; biased voter model; logarithmic Sobolev constant; mixing time; kinetically constrained models; CONSTRAINED ISING PROCESS; MIXING TIMES; MODEL; DUALITY; TORUS;
D O I
10.1214/21-AAP1750
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Motivated by kinetically constrained interacting particle systems (KCM), we consider a reversible coalescing and branching simple exclusion process on a general finite graph G = (V, E) dual to the biased voter model on G. Our main goal is tight bounds on its logarithmic Sobolev constant and relaxation time, with particular focus on the delicate slightly supercritical regime in which the equilibrium density of particles tends to zero as vertical bar V vertical bar -> infinity. Our results allow us to recover very directly and improve to l(p)-mixing, p >= 2, and to more general graphs, the mixing time results of Pillai and Smith for the Fredrickson-Andersen one spin facilitated (FA-1f) KCM on the discrete d-dimensional torus. In view of applications to the more complex FA-jf KCM, j > 1, we also extend part of the analysis to an analogous process with a more general product state space.
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页码:2841 / 2859
页数:19
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