arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1502.03115math.PR
收藏

空间分式泊松过程的推广及其与某些Lévy过程的联系

A Generalization of the Space-Fractional Poisson Process and its Connection to some Lévy Processes

Federico Polito, Enrico Scalas

摘要:

本文通过将相应的差分微分方程中存在的作用于状态空间的差分算子推广到更一般的形式,给出了所谓的空间分数泊松过程的一个推广.事实证明,这种推广可以通过从属子与齐次泊松过程的特定从属关系联系起来,对于从属子,可以显式地表达特征化的Lévy测度。此外,这个从属的法律解决了一个片面的一阶微分方程,其中出现了一个特定的卷积型积分算子,称为Prabhakar导数。在本文的最后一节中,引入了一个类似的模型,其中Prabhakar导数也作用于时间。在这种情况下,也确定相应过程的概率母函数和概率分布。

英文摘要:

This paper introduces a generalization of the so-called space-fractional Poisson process by extending the difference operator acting on state space present in the associated difference-differential equations to a much more general form. It turns out that this generalization can be put in relation to a specific subordination of a homogeneous Poisson process by means of a subordinator for which it is possible to express the characterizing Lévy measure explicitly. Moreover, the law of this subordinator solves a one-sided first-order differential equation in which a particular convolution-type integral operator appears, called Prabhakar derivative. In the last section of the paper, a similar model is introduced in which the Prabhakar derivative also acts in time. In this case, too, the probability generating function of the corresponding process and the probability distribution are determined.

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。

↑