{"title":"Stationary density function for a random evolution driven by a Markov-switching Ornstein–Uhlenbeck process with finite velocity","authors":"A. Pogorui, R. Rodríguez-Dagnino","doi":"10.1515/rose-2022-2075","DOIUrl":null,"url":null,"abstract":"Abstract In this paper, we consider a new telegraph process of Ornstein–Uhlenbeck type. The process is obtained by generalizing the telegraph process in a similar manner to how the Ornstein–Uhlenbeck process was obtained from the Wiener process, namely by adding a drift coefficient proportional to a displacement from the origin. This process was first introduced by Ratanov in [N. Ratanov, Ornstein–Uhlenbeck process of bounded variation, Methodol. Comput. Appl. Probab. 23 2021, 925–946]. We obtain the infinitesimal operator of this process and we present formulas for finding its stationary probability density. We consider both the symmetric and asymmetric cases.","PeriodicalId":43421,"journal":{"name":"Random Operators and Stochastic Equations","volume":"30 1","pages":"113 - 120"},"PeriodicalIF":0.3000,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Random Operators and Stochastic Equations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/rose-2022-2075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract In this paper, we consider a new telegraph process of Ornstein–Uhlenbeck type. The process is obtained by generalizing the telegraph process in a similar manner to how the Ornstein–Uhlenbeck process was obtained from the Wiener process, namely by adding a drift coefficient proportional to a displacement from the origin. This process was first introduced by Ratanov in [N. Ratanov, Ornstein–Uhlenbeck process of bounded variation, Methodol. Comput. Appl. Probab. 23 2021, 925–946]. We obtain the infinitesimal operator of this process and we present formulas for finding its stationary probability density. We consider both the symmetric and asymmetric cases.