Moderate and $L^p$ maximal inequalities for diffusion processes and conformal martingales
Xian Chen, Yong Chen, Mumien Cheng, Chen Jia

TL;DR
This paper establishes sharp moderate maximal inequalities for one-dimensional diffusion processes, extending classical $L^p$ inequalities, and applies these results to various specific and high-dimensional stochastic processes.
Contribution
It introduces the first sharp moderate maximal inequalities for diffusion processes, generalizing classical $L^p$ inequalities and applying them to conformal martingales and high-dimensional processes.
Findings
Established sharp moderate maximal inequalities for diffusion processes.
Extended inequalities to high-dimensional processes like complex OU and conformal martingales.
Applied results to specific processes such as Ornstein-Uhlenbeck and Bessel processes.
Abstract
The 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 include the maximal inequalities as special cases. 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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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Probability and Risk Models
