扩散过程和共形马汀尔的温和与 $$L^p$$ 最大不等式

IF 0.8 4区 数学 Q3 STATISTICS & PROBABILITY Journal of Theoretical Probability Pub Date : 2024-07-18 DOI:10.1007/s10959-024-01359-9
Xian Chen, Yong Chen, Yumin Cheng, Chen Jia
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引用次数: 0

摘要

马氏最大不等式(\(L^p\) maximal inequalities for martingales)是随机过程理论的经典结果之一。在这里,我们建立了一维扩散过程的尖锐中度最大不等式,它概括了扩散过程的 \(L^p\) 最大不等式。此外,我们还将我们的理论应用于许多具体的例子,包括奥恩斯坦-乌伦贝克(Ornstein-Uhlenbeck,OU)过程、带漂移的布朗运动、带漂移的反射布朗运动、考克斯-英格索尔-罗斯过程、径向 OU 过程和贝塞尔过程。这些结果还进一步应用于建立一些高维过程的中等最大不等式,包括复杂 OU 过程和一般共形局部马氏过程。
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Moderate and $$L^p$$ Maximal Inequalities for Diffusion Processes and Conformal Martingales

The \(L^p\) maximal inequalities for martingales are one of the classical results in the theory of stochastic processes. Here, we establish the sharp moderate maximal inequalities for one-dimensional diffusion processes, which generalize the \(L^p\) maximal inequalities for diffusions. Moreover, we apply our theory to many specific examples, including the Ornstein–Uhlenbeck (OU) process, Brownian motion with drift, reflected Brownian motion with drift, Cox–Ingersoll–Ross process, radial OU process, and Bessel process. The results are further applied to establish the moderate maximal inequalities for some high-dimensional processes, including the complex OU process and general conformal local martingales.

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来源期刊
Journal of Theoretical Probability
Journal of Theoretical Probability 数学-统计学与概率论
CiteScore
1.50
自引率
12.50%
发文量
65
审稿时长
6-12 weeks
期刊介绍: Journal of Theoretical Probability publishes high-quality, original papers in all areas of probability theory, including probability on semigroups, groups, vector spaces, other abstract structures, and random matrices. This multidisciplinary quarterly provides mathematicians and researchers in physics, engineering, statistics, financial mathematics, and computer science with a peer-reviewed forum for the exchange of vital ideas in the field of theoretical probability.
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