A multi-dimensional version of Lamperti’s relation and the Matsumoto–Yor processes

IF 1.1 2区 数学 Q3 STATISTICS & PROBABILITY
Thomas Gerard , Valentin Rapenne , Christophe Sabot , Xiaolin Zeng
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引用次数: 0

Abstract

The distribution of a one-dimensional drifted Brownian motion conditioned on its first hitting time to 0 is the same as a three-dimensional Bessel bridge. By applying the time change in Lamperti’s relation to this result, Matsumoto and Yor (2001) showed a relation between Brownian motions with opposite drifts. In two subsequent papers (Matsumoto and Yor, 2000; 2001), they established a geometric lifting of the process 2M-B in Pitman’s theorem, known as the Matsumoto–Yor process. They also established an equality in law involving Inverse Gaussian distribution and its reciprocal (as processes), known as the Matsumoto–Yor property, by conditioning some exponential Wiener functional.

Sabot and Zeng (2020) generalized some results on drifted Brownian motion conditioned on its first hitting. More precisely, they introduced a family of Brownian semimartingales with interacting drifts, for which when conditioned on the vector τ (the hitting times to 0 of each component), their joint law is the same as for independent three-dimensional Bessel bridges. The distribution of τ is a generalization of Inverse Gaussian distribution in multi-dimension and it is related to a random potential β that appears in the study of the Vertex Reinforced Jump Process.

The aim of this paper is to generalize the results of Matsumoto and Yor (2001, 2000) in the context of these interacting Brownian semimartingales. We apply a Lamperti-type time change to the previous family of interacting Brownian motions and we obtain a multi-dimensional opposite drift theorem. Moreover, we also give a multi-dimensional counterpart of the Matsumoto–Yor process and its intertwining relation with interacting geometric Brownian motions.

兰佩蒂关系的多维版本和松本-尤尔过程
一维漂移布朗运动的分布以其首次撞击时间为 0 为条件,与三维贝塞尔桥相同。通过将兰佩蒂关系中的时间变化应用于这一结果,Matsumoto 和 Yor(2001 年)展示了漂移相反的布朗运动之间的关系。在随后的两篇论文(Matsumoto and Yor, 2000; 2001)中,他们建立了皮特曼定理中 2M-B 过程的几何提升,称为松本-约过程。Sabot 和 Zeng(2020 年)将漂移布朗运动的一些结果概括为以其第一次击球为条件。更确切地说,他们引入了一系列具有交互漂移的布朗半马尔廷态,对于这些半马尔廷态,当以向量 τ 为条件时(每个分量到达 0 的时间),它们的联合定律与独立三维贝塞尔桥的联合定律相同。τ的分布是反高斯分布在多维度上的一般化,它与顶点强化跳跃过程研究中出现的随机势β相关。我们将兰佩蒂型时间变化应用于之前的交互布朗运动族,并得到了多维相反漂移定理。此外,我们还给出了松本-约过程的多维对应定理及其与交互几何布朗运动的交织关系。
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来源期刊
Stochastic Processes and their Applications
Stochastic Processes and their Applications 数学-统计学与概率论
CiteScore
2.90
自引率
7.10%
发文量
180
审稿时长
23.6 weeks
期刊介绍: Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests. Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.
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