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arXiv 1007.5051math.PRmath-phmath.MP
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分数阶泊松过程与逆稳定从属子

The fractional Poisson process and the inverse stable subordinator

Mark M. Meerschaert, Erkan Nane, P. Vellaisamy

摘要:

分数泊松过程是一个具有Mittag-Leffler等待时间的更新过程。它的分布解决了泊松过程的Kolmogorov向前方程的时间分数模拟。本文证明了一个传统的泊松过程,当时间变量被一个独立的逆稳定从属子所代替时,也是一个分数泊松过程。这一结果统一了时间分数阶扩散方程随机理论中的两种主要方法。等价性扩展到更新过程的广泛类别,包括回火分数扩散模型和分布阶(例如,超低)分数扩散。本文还建立了分数泊松过程和布朗时间之间的一个有趣的联系。

英文摘要:

The fractional Poisson process is a renewal process with Mittag-Leffler waiting times. Its distributions solve a time-fractional analogue of the Kolmogorov forward equation for a Poisson process. This paper shows that a traditional Poisson process, with the time variable replaced by an independent inverse stable subordinator, is also a fractional Poisson process. This result unifies the two main approaches in the stochastic theory of time-fractional diffusion equations. The equivalence extends to a broad class of renewal processes that include models for tempered fractional diffusion, and distributed-order (e.g., ultraslow) fractional diffusion. The paper also establishes an interesting connection between the fractional Poisson process and Brownian time.

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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