{"title":"Some results on the telegraph process driven by gamma components","authors":"B. Martinucci, Alessandra Meoli, S. Zacks","doi":"10.1017/apr.2021.54","DOIUrl":null,"url":null,"abstract":"Abstract We study the integrated telegraph process \n$X_t$\n under the assumption of general distribution for the random times between consecutive reversals of direction. Specifically, \n$X_t$\n represents the position, at time t, of a particle moving U time units upwards with velocity c and D time units downwards with velocity \n$-c$\n . The latter motions are repeated cyclically, according to independent alternating renewals. Explicit expressions for the probability law of \n$X_t$\n are given in the following cases: (i) (U, D) gamma-distributed; (ii) U exponentially distributed and D gamma-distributed. For certain values of the parameters involved, the probability law of \n$X_t$\n is provided in a closed form. Some expressions for the moment generating function of \n$X_t$\n and its Laplace transform are also obtained. The latter allows us to prove the existence of a Kac-type condition under which the probability density function of the integrated telegraph process, with identically distributed gamma intertimes, converges to that of the standard Brownian motion. Finally, we consider the square of \n$X_t$\n and disclose its distribution function, specifying the expression for some choices of the distribution of (U, D).","PeriodicalId":53160,"journal":{"name":"Advances in Applied Probability","volume":"54 1","pages":"808 - 848"},"PeriodicalIF":0.9000,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Applied Probability","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1017/apr.2021.54","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 2
Abstract
Abstract We study the integrated telegraph process
$X_t$
under the assumption of general distribution for the random times between consecutive reversals of direction. Specifically,
$X_t$
represents the position, at time t, of a particle moving U time units upwards with velocity c and D time units downwards with velocity
$-c$
. The latter motions are repeated cyclically, according to independent alternating renewals. Explicit expressions for the probability law of
$X_t$
are given in the following cases: (i) (U, D) gamma-distributed; (ii) U exponentially distributed and D gamma-distributed. For certain values of the parameters involved, the probability law of
$X_t$
is provided in a closed form. Some expressions for the moment generating function of
$X_t$
and its Laplace transform are also obtained. The latter allows us to prove the existence of a Kac-type condition under which the probability density function of the integrated telegraph process, with identically distributed gamma intertimes, converges to that of the standard Brownian motion. Finally, we consider the square of
$X_t$
and disclose its distribution function, specifying the expression for some choices of the distribution of (U, D).
期刊介绍:
The Advances in Applied Probability has been published by the Applied Probability Trust for over four decades, and is a companion publication to the Journal of Applied Probability. It contains mathematical and scientific papers of interest to applied probabilists, with emphasis on applications in a broad spectrum of disciplines, including the biosciences, 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.