Applying monoid duality to a double contact process

IF 1.3 3区 数学 Q2 STATISTICS & PROBABILITY
Jan Niklas Latz, J. Swart
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引用次数: 2

Abstract

In this paper we use duality techniques to study a combination of the well-known contact process (CP) and the somewhat less-known annihilating branching process. As the latter can be seen as a cancellative version of the contact process, we rebrand it as the cancellative contact process (cCP). Our process of interest will consist of two entries, the first being a CP and the second being a cCP. We call this process the double contact process (2CP) and prove that it has (depending on the model parameters) at most one invariant law under which ones are present in both processes. In particular, we can choose the model parameter in such a way that CP and cCP are monotonely coupled. In this case also the above mentioned invariant law will have the property that, under it, ones in the cCP can only be present at sites where there are also ones in the CP. Along the way we extend the dualities for Markov processes discovered in our paper"Commutative monoid duality"to processes on infinite state spaces so that they, in particular, can be used for interacting particle systems.
对偶对偶在双接触过程中的应用
在本文中,我们使用对偶技术来研究已知的接触过程(CP)和鲜为人知的湮灭分支过程的组合。由于后者可以被视为接触过程的可撤销版本,我们将其重新命名为可撤销接触过程(cCP)。我们感兴趣的流程将由两个条目组成,第一个条目是CP,第二个条目是cCP。我们将这个过程称为双接触过程(2CP),并证明它(取决于模型参数)最多有一个不变定律,在这两个过程中都存在不变定律。特别地,我们可以以CP和cCP单调耦合的方式来选择模型参数。在这种情况下,上述不变定律也将具有这样的性质,即在它的作用下,cCP中的不变量只能存在于CP中也有不变量的位置。同时,我们将在论文“可交换单半对偶”中发现的马尔可夫过程的对偶性扩展到无限状态空间上的过程,以便它们特别可以用于相互作用的粒子系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Electronic Journal of Probability
Electronic Journal of Probability 数学-统计学与概率论
CiteScore
1.80
自引率
7.10%
发文量
119
审稿时长
4-8 weeks
期刊介绍: The Electronic Journal of Probability publishes full-size research articles in probability theory. The Electronic Communications in Probability (ECP), a sister journal of EJP, publishes short notes and research announcements in probability theory. Both ECP and EJP are official journals of the Institute of Mathematical Statistics and the Bernoulli society.
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