Probabilistic Models Motivated by Cooperative Sequential Adsorption

被引:0
|
作者
Shcherbakov, Vadim [1 ]
机构
[1] Royal Holloway Univ London, Dept Math, London, England
关键词
cooperative sequential adsorption; maximum likelihood estimation; inter- acting urn model; interacting spin model; Markov chain; reversibility; electric networks; positive recurrence; transience; explosion; LONG-TERM BEHAVIOR; LIMIT-THEOREMS; GROWTH-MODEL; LOCALIZATION;
D O I
10.61102/1024-2953-mprf.2023.29.4.006
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
This survey concerns probabilistic models motivated by cooperative sequential adsorption (CSA) models. CSA models are widely used in physics and chemistry for modelling adsorption processes in which adsorption rates depend on the spatial configuration of already adsorbed particles. Corresponding probabilistic models describe random sequential allocation of particles either in a subset of Euclidean space, or at vertices of a graph (e.g. sites of the lattice). Depending on a technical setup these probabilistic models are stated in terms of spatial or integer -valued interacting birth -and -death processes. In this survey we consider several such models that have been studied in recent years.
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页数:165
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