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arXiv 0911.3449math.PR
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半自分解分布的随机积分特征及相关的Ornstein-Uhlenbeck型过程

Stochastic integral characterizations of semi-selfdecomposable distributions and related Ornstein-Uhlenbeck type processes

Makoto Maejima, Yohei Ueda

摘要:

本文研究了半自可分解分布的三个问题。第一个是利用Levy过程的随机积分刻画半自分解分布。这个特征定义了一个从具有有限对数矩的无穷可分分布到半自分解分布的映射。第二部分是引入并研究极限分布为半自分解的Langevin型方程和相应的Ornstein-Uhlenbeck型过程。同时,构造了具有半自分解分布的半平稳Ornstein-Uhlenbeck型过程.第三部分是研究上述映射的迭代问题。迭代映射被表示为具有不同被积函数的单个映射。本文还研究了半自分解分布类的嵌套子类,证明了这些嵌套子类的极限是半稳定分布类的闭包。

英文摘要:

In this paper, three topics on semi-selfdecomposable distributions are studied. The first one is to characterize semi-selfdecomposable distributions by stochastic integrals with respect to Levy processes. This characterization defines a mapping from an infinitely divisible distribution with finite log-moment to a semi-selfdecomposable distribution. The second one is to introduce and study a Langevin type equation and the corresponding Ornstein-Uhlenbecktype process whose limiting distribution is semi-selfdecomposable. Also, semi-stationary Ornstein-Uhlenbeck type processes with semi-selfdecomposable distributions are constructed. The third one is to study the iteration of the mapping above. The iterated mapping is expressed as a single mapping with a different integrand. Also, nested subclasses of the class of semi-selfdecomposable distributions are considered, andit is shown that the limit of these nested subclasses is the closure of the class of semi-stable distributions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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