A Markov process for a continuum infinite particle system with attraction

IF 1.3 3区 数学 Q2 STATISTICS & PROBABILITY
Y. Kozitsky, M. Rockner
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引用次数: 0

Abstract

An infinite system of point particles placed in $\mathds{R}^d$ is studied. The particles are of two types; they perform random walks in the course of which those of distinct types repel each other. The interaction of this kind induces an effective multi-body attraction of the same type particles, which leads to the multiplicity of states of thermal equilibrium in such systems. The pure states of the system are locally finite counting measures on $\mathds{R}^d$. The set of such states $\Gamma^2$ is equipped with the vague topology and the corresponding Borel $\sigma$-field. For a special class $\mathcal{P}_{\rm exp}$ of probability measures defined on $\Gamma^2$, we prove the existence of a family $\{P_{t,\mu}: t\geq 0, \ \mu \in \mathcal{P}_{\rm exp}\}$ of probability measures defined on the space of c{\`a}dl{\`a}g paths with values in $\Gamma^2$, which is a unique solution of the restricted martingale problem for the mentioned stochastic dynamics. Thereby, the corresponding Markov process is specified.
具有吸引力的连续无限粒子系统的Markov过程
研究了放置在$\mathds{R}^d$中的无限点粒子系统。粒子有两种类型;它们进行随机漫步,在这一过程中,不同类型的个体相互排斥。这种相互作用引起了同类型粒子之间有效的多体吸引,从而导致了系统中热平衡态的多重性。系统的纯态是$\mathds{R}^d$上的局部有限计数测度。这种状态集$\Gamma^2$配备了模糊拓扑和相应的Borel $\sigma$ -field。对于定义在$\Gamma^2$上的一类特殊概率测度$\mathcal{P}_{\rm exp}$,我们证明了定义在值在$\Gamma^2$上的一类概率测度{}{}$\{P_{t,\mu}: t\geq 0, \ \mu \in \mathcal{P}_{\rm exp}\}$的存在性,这是上述随机动力学的受限鞅问题的唯一解。从而确定了相应的马尔可夫过程。
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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