开关过程的特点及几何可分性

IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY
Henrik Bengtsson
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引用次数: 0

摘要

切换过程在1和$-1$之间独立交替,第一次切换到1发生在原点。该过程的期望值函数由切换时间的分布唯一地定义。两者之间的关系是通过拉普拉斯变换来隐式描述的,很难用拉普拉斯变换来确定给定函数是否为某个转换过程的期望值函数。在期望值函数单调性的假设下,导出了一个显式关系。结果表明,几何可分的开关时间分布对应于一个非负递减的期望值函数。此外,得到了开关过程的期望值与开关过程平稳对应的自协方差函数之间的显式关系,从而对经典的Pólya正确定性判据进行了新的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics of the switch process and geometric divisibility
Abstract The switch process alternates independently between 1 and $-1$ , with the first switch to 1 occurring at the origin. The expected value function of this process is defined uniquely by the distribution of switching times. The relation between the two is implicitly described through the Laplace transform, which is difficult to use for determining if a given function is the expected value function of some switch process. We derive an explicit relation under the assumption of monotonicity of the expected value function. It is shown that geometric divisible switching time distributions correspond to a non-negative decreasing expected value function. Moreover, an explicit relation between the expected value of a switch process and the autocovariance function of the switch process stationary counterpart is obtained, leading to a new interpretation of the classical Pólya criterion for positive-definiteness.
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来源期刊
Journal of Applied Probability
Journal of Applied Probability 数学-统计学与概率论
CiteScore
1.50
自引率
10.00%
发文量
92
审稿时长
6-12 weeks
期刊介绍: Journal of Applied Probability is the oldest journal devoted to the publication of research in the field of applied probability. It is an international journal published by the Applied Probability Trust, and it serves as a companion publication to the Advances in Applied Probability. Its wide audience includes leading researchers across the entire spectrum of applied probability, including biosciences applications, operations research, telecommunications, computer science, engineering, epidemiology, financial mathematics, the physical and social sciences, and any field where stochastic modeling is used. A submission to Applied Probability represents a submission that may, at the Editor-in-Chief’s discretion, appear in either the Journal of Applied Probability or the Advances in Applied Probability. Typically, shorter papers appear in the Journal, with longer contributions appearing in the Advances.
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