Orlicz空间随机过程的样本路径性质及其在偏微分方程中的应用

L. Sakhno, Y. Kozachenko, E. Orsingher, O. Hopkalo
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引用次数: 0

摘要

本文从定义在无界域上的Orlicz空间得到随机过程具有几乎确定的有界连续样本路径的条件。给出了过程上确界分布的估计。利用熵积分和Orlicz空间的多数特征给出了条件。讨论了偏微分方程解的可能应用。给出了满足主要结果条件的过程实例。
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Sample Paths Properties of Stochastic Processes from Orlicz Spaces, with Applications to Partial Differential Equations
In this paper we obtain conditions for stochastic processes from Orlicz spaces defined on unbounded domains to have almost sure bounded and continuous sample paths. Estimates for distributions of suprema of the processes are presented. Conditions are given in terms of entropy integrals and majorant characteristics of Orlicz spaces. Possible applications to solutions of partial differential equations are discussed. Examples of processes are given for which the conditions of the main results are satisfied.
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