几何计数过程驱动的 $$\mathbb {R}^3$$ 循环随机运动

IF 1 4区 数学 Q3 STATISTICS & PROBABILITY
Antonella Iuliano, Gabriella Verasani
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引用次数: 0

摘要

我们考虑在 \(\mathbb {R}^3\) 中以恒定速度运动的粒子的随机运动。质点可以沿着四个不同的方向移动,这些方向是循环达到的。因此,描述粒子在固定时间位置的随机过程的支撑是一个四面体。我们假设每个方向的停留时间序列都遵循几何计数过程(GCP)。当初始条件固定时,我们可以得到粒子位置过程概率规律的显式形式。我们还研究了当四个几何计数过程的强度趋于无穷大时,相关概率密度的极限行为。此外,我们还证明了该过程不存在静态密度。最后,我们通过一个恒定的正边界为过程的第一个分量引入了第一通过时间问题,为未来的发展提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Cyclic Random Motion in $$\mathbb {R}^3$$ Driven by Geometric Counting Processes

A Cyclic Random Motion in $$\mathbb {R}^3$$ Driven by Geometric Counting Processes

We consider the random motion of a particle that moves with constant velocity in \(\mathbb {R}^3\). The particle can move along four different directions that are attained cyclically. It follows that the support of the stochastic process describing the particle’s position at a fixed time is a tetrahedron. We assume that the sequence of sojourn times along each direction follows a Geometric Counting Process (GCP). When the initial condition is fixed, we obtain the explicit form of the probability law of the process, for the particle’s position. We also investigate the limiting behavior of the related probability density when the intensities of the four GCPs tend to infinity. Furthermore, we show that the process does not admit a stationary density. Finally, we introduce the first-passage-time problem for the first component of the process through a constant positive boundary providing the bases for future developments.

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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
58
审稿时长
6-12 weeks
期刊介绍: Methodology and Computing in Applied Probability will publish high quality research and review articles in the areas of applied probability that emphasize methodology and computing. Of special interest are articles in important areas of applications that include detailed case studies. Applied probability is a broad research area that is of interest to many scientists in diverse disciplines including: anthropology, biology, communication theory, economics, epidemiology, finance, linguistics, meteorology, operations research, psychology, quality control, reliability theory, sociology and statistics. The following alphabetical listing of topics of interest to the journal is not intended to be exclusive but to demonstrate the editorial policy of attracting papers which represent a broad range of interests: -Algorithms- Approximations- Asymptotic Approximations & Expansions- Combinatorial & Geometric Probability- Communication Networks- Extreme Value Theory- Finance- Image Analysis- Inequalities- Information Theory- Mathematical Physics- Molecular Biology- Monte Carlo Methods- Order Statistics- Queuing Theory- Reliability Theory- Stochastic Processes
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