用积分快速振荡Ornstein-Uhlenbeck过程逼近Levy过程

IF 0.8 4区 数学 Q3 STATISTICS & PROBABILITY Stochastics and Dynamics Pub Date : 2023-11-08 DOI:10.1142/s0219493723400051
Lingyu Feng, Ting Gao, Ting Li, Zhongjie Lin, Xianming Liu
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引用次数: 0

摘要

本文研究了任意càdlàg lsamvy过程的光滑逼近。这种近似过程被称为集成快速振荡Ornstein-Uhlenbeck (OU)过程。我们知道,近似过程是连续的,而过程的极限可能是不连续的,因此在一致拓扑或Skorokhod[公式:见文本]-拓扑中的收敛性一般不成立。因此,我们用Skorokhod[公式:见原文]-拓扑学建立了一个近似。注意,收敛性几乎是肯定的,这是Hintze和Pavlyukevich的推广结果。
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Approximations of Levy processes by integrated fast oscillating Ornstein-Uhlenbeck processes
In this paper, we study a smooth approximation of an arbitrary càdlàg Lévy process. Such approximation processes are known as integrated fast oscillating Ornstein–Uhlenbeck (OU) processes. We know that approximating processes are continuous, while the limit of processes may be discontinuous, so convergence in uniform topology or Skorokhod [Formula: see text]-topology will not hold in general. Therefore, we establish an approximation in Skorokhod [Formula: see text]-topology. Note that the convergence is almost surely, which is an extension result of Hintze and Pavlyukevich.
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来源期刊
Stochastics and Dynamics
Stochastics and Dynamics 数学-统计学与概率论
CiteScore
1.70
自引率
0.00%
发文量
49
审稿时长
>12 weeks
期刊介绍: This interdisciplinary journal is devoted to publishing high quality papers in modeling, analyzing, quantifying and predicting stochastic phenomena in science and engineering from a dynamical system''s point of view. Papers can be about theory, experiments, algorithms, numerical simulation and applications. Papers studying the dynamics of stochastic phenomena by means of random or stochastic ordinary, partial or functional differential equations or random mappings are particularly welcome, and so are studies of stochasticity in deterministic systems.
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