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Continuous Paths in Brownian Motion and Related Problems

机译:布朗运动中的连续路径及相关问题

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摘要

This thesis is composed of six chapters, which mainly deals with embedding continuous paths in Brownian motion. It is adapted from two publications [123, 124], joint with Jim Pitman.;We ask if it is possible to find some particular continuous paths of unit length in linear Brownian motion. Beginning with a discrete version of the problem, we derive the asymptotics of the expected waiting time for several interesting patterns. These suggest corresponding results on the existence/non-existence of continuous paths embedded in Brownian motion.;By various stochastic analysis arguments (path decomposition, Ito excursion theory, potential theory...), we are able to prove some of these existence and non-existence results:;[special characters omitted].;where e is a normalized Brownian excursion, V(b) is the Vervaat transform of Brownian bridge ending at lambda, m is a Brownian meander, and R is the three dimensional Bessel process of unit length.;The question of embedding a Brownian bridge into Brownian motion is more chanllenging. After explaining why some simple or traditional approaches do not work, we make use of recent work of Last and Thorisson on shift couplings of stationary random measures to prove the result. These can be applied after a thorough analysis of the Slepian zero set {t ≥ 0; Bt = Bt+1}.;We also discuss the potential theoretical aspect of embedding continuous paths in a random process. A list of open problems is presented.
机译:本文共分六章,主要涉及布朗运动中连续路径的嵌入。它是从与Jim Pitman联合的两个出版物[123,124]中改编而来的;我们询问是否有可能在线性布朗运动中找到某些特定的单位长度连续路径。从问题的离散版本开始,我们得出了几种有趣模式的预期等待时间的渐近性。这些都暗示了布朗运动中嵌入的连续路径的存在/不存在的相应结果。通过各种随机分析论点(路径分解,伊藤漂移理论,势能理论...),我们能够证明其中一些存在和不存在。不存在的结果:; [省略特殊字符] 。;其中e是归一化的布朗偏移,V(b)是结束于lambda的布朗桥的Vervaat变换,m是布朗曲折,R是三维贝塞尔过程将布朗桥嵌入布朗运动的问题更具挑战性。在解释了为什么某些简单或传统方法不起作用之后,我们利用Last和Thorisson的最新工作对平稳随机测量的移位耦合进行了证明。可以在对Slepian零集{t≥0; Bt = Bt + 1} 。;我们还讨论了在随机过程中嵌入连续路径的潜在理论方面。列出了未解决的问题。

著录项

  • 作者

    Tang, Wenpin.;

  • 作者单位

    University of California, Berkeley.;

  • 授予单位 University of California, Berkeley.;
  • 学科 Mathematics.;Statistics.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 84 p.
  • 总页数 84
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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