具有秩相关漂移的无限布朗粒子系统的极值不变分布

IF 1.5 1区 数学 Q2 STATISTICS & PROBABILITY
Sayan Banerjee, Amarjit Budhiraja
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引用次数: 0

摘要

考虑实线上按照独立布朗运动运动的无限粒子集合,从左边开始的第 i 个粒子得到漂移 \(g_{i-1}\)。对于所有的\(i \in {\mathbb {N}}\),\(g_0=1\)和\(g_{i}=0\)的情况对应于研究得很好的无限阿特拉斯模型。在漂移向量({\varvec{g}}= (g_0, g_1, \ldots )'\)的条件下,我们知道与相关有序粒子的间隙序列相对应的马尔可夫过程具有连续的乘积形式静态分布(\{\pi _a^{\varvec{g}}、a在S^{{/varvec{g}}}中),其中(S^{{/varvec{g}}})是实线的半无限区间。在这项工作中,我们证明了所有这些静态分布都是极值和遍历的。我们还证明了这个马尔可夫过程的任何满足温和可整性条件的乘积形式静态分布对于某个 \(a \in S^{\varvec{g}}) 一定是 \(\pi_a^{\varvec{g}}\)。即使对于无限阿特拉斯模型,这些结果也是新的。这项工作在描述通过相对等级相互作用的一般竞争布朗粒子系统的所有不变分布这一未决问题上取得了进展。证明依赖于布朗粒子的同步耦合和镜像耦合以及无限系统中各种粒子的交点局部时间的性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extremal invariant distributions of infinite Brownian particle systems with rank dependent drifts

Consider an infinite collection of particles on the real line moving according to independent Brownian motions and such that the i-th particle from the left gets the drift \(g_{i-1}\). The case where \(g_0=1\) and \(g_{i}=0\) for all \(i \in {\mathbb {N}}\) corresponds to the well studied infinite Atlas model. Under conditions on the drift vector \({\varvec{g}}= (g_0, g_1, \ldots )'\) it is known that the Markov process corresponding to the gap sequence of the associated ranked particles has a continuum of product form stationary distributions \(\{\pi _a^{{\varvec{g}}}, a \in S^{{\varvec{g}}}\}\) where \(S^{{\varvec{g}}}\) is a semi-infinite interval of the real line. In this work we show that all of these stationary distributions are extremal and ergodic. We also prove that any product form stationary distribution of this Markov process that satisfies a mild integrability condition must be \(\pi _a^{{\varvec{g}}}\) for some \(a \in S^{{\varvec{g}}}\). These results are new even for the infinite Atlas model. The work makes progress on the open problem of characterizing all the invariant distributions of general competing Brownian particle systems interacting through their relative ranks. Proofs rely on synchronous and mirror coupling of Brownian particles and properties of the intersection local times of the various particles in the infinite system.

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来源期刊
Probability Theory and Related Fields
Probability Theory and Related Fields 数学-统计学与概率论
CiteScore
3.70
自引率
5.00%
发文量
71
审稿时长
6-12 weeks
期刊介绍: Probability Theory and Related Fields publishes research papers in modern probability theory and its various fields of application. Thus, subjects of interest include: mathematical statistical physics, mathematical statistics, mathematical biology, theoretical computer science, and applications of probability theory to other areas of mathematics such as combinatorics, analysis, ergodic theory and geometry. Survey papers on emerging areas of importance may be considered for publication. The main languages of publication are English, French and German.
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