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arXiv 1012.0093math.PR
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无穷可分分布的随机积分映射迭代范围极限的描述

Description of limits of ranges of iterations of stochastic integral mappings of infinitely divisible distributions

Ken-iti Sato

摘要:

对于$\mathbb{R}^d$上的无穷可分分布$ρ$,随机积分映射$Φ_fρ$被定义为反常随机积分$\int_0^{\infty-} f(s) dX_s^{(ρ)}$的分布,其中$f(s)$是非随机函数,$\{X_s^{(ρ)}\}$是$ρ$在时间1具有分布的$\mathbb{R}^d$上的Lévy过程.对于三个带参数的函数族$f$,证明了迭代次数$Φ_f^n$的值域的嵌套序列的极限是完全自分解分布族$L_{\infty}$的某些子类,并给出了明确的描述.在参数1的临界情况下,弱均值0的概念起着重要的作用。还给出了具有$Φ_f^n$的范围的不同限制的$f$的实例。

英文摘要:

For infinitely divisible distributions $ρ$ on $\mathbb{R}^d$ the stochastic integral mapping $Φ_fρ$ is defined as the distribution of improper stochastic integral $\int_0^{\infty-} f(s) dX_s^{(ρ)}$, where $f(s)$ is a non-random function and $\{X_s^{(ρ)}\}$ is a Lévy process on $\mathbb{R}^d$ with distribution $ρ$ at time 1. For three families of functions $f$ with parameters, the limits of the nested sequences of the ranges of the iterations $Φ_f^n$ are shown to be some subclasses, with explicit description, of the class $L_{\infty}$ of completely selfdecomposable distributions. In the critical case of parameter 1, the notion of weak mean 0 plays an important role. Examples of $f$ with different limits of the ranges of $Φ_f^n$ are also given.

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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