可逆扩散过程的非可逆提升和弛豫时间

IF 1.5 1区 数学 Q2 STATISTICS & PROBABILITY
Andreas Eberle, Francis Lörler
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引用次数: 0

摘要

我们提出了可逆扩散过程提升的新概念,并证明应用中出现的各种著名的非可逆马尔可夫过程都是这种意义上的简单可逆扩散过程的提升。此外,我们还引入了非渐近松弛时间的概念,并证明通过提升,松弛时间最多可以减少一个平方根,从而推广了离散时间的相关结果。最后,我们展示了如何用提升语言重新表述和简化最近开发的基于时空普恩卡雷不等式的定量低弛豫性方法,以及如何将其应用于寻找最优提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Non-reversible lifts of reversible diffusion processes and relaxation times

Non-reversible lifts of reversible diffusion processes and relaxation times

We propose a new concept of lifts of reversible diffusion processes and show that various well-known non-reversible Markov processes arising in applications are lifts in this sense of simple reversible diffusions. Furthermore, we introduce a concept of non-asymptotic relaxation times and show that these can at most be reduced by a square root through lifting, generalising a related result in discrete time. Finally, we demonstrate how the recently developed approach to quantitative hypocoercivity based on space–time Poincaré inequalities can be rephrased and simplified in the language of lifts and how it can be applied to find optimal lifts.

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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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