{"title":"多维粘性布朗运动:重交通限制和粗尾渐近性","authors":"Hongshuai Dai , Yiqiang Q. Zhao","doi":"10.1016/j.spa.2025.104743","DOIUrl":null,"url":null,"abstract":"<div><div>Inspired by the concept of sticky Brownian motion on the half-line, we investigate a time-changed semimartingale reflecting Brownian motion in the orthant, which we refer to as multidimensional sticky Brownian motion. We first show that it can be obtained as a natural diffusion approximation for a certain tandem queue with exceptional arrival rates. Furthermore, we examine the tail dependence structure of the joint stationary distribution. Under some mild conditions, we derive rough tail asymptotics for the joint stationary distribution. Finally, in some special cases, we present the exact tail asymptotics of the joint stationary distribution.</div></div>","PeriodicalId":51160,"journal":{"name":"Stochastic Processes and their Applications","volume":"190 ","pages":"Article 104743"},"PeriodicalIF":1.2000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multidimensional sticky Brownian motions: Heavy traffic limit and rough tail asymptotics\",\"authors\":\"Hongshuai Dai , Yiqiang Q. Zhao\",\"doi\":\"10.1016/j.spa.2025.104743\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Inspired by the concept of sticky Brownian motion on the half-line, we investigate a time-changed semimartingale reflecting Brownian motion in the orthant, which we refer to as multidimensional sticky Brownian motion. We first show that it can be obtained as a natural diffusion approximation for a certain tandem queue with exceptional arrival rates. Furthermore, we examine the tail dependence structure of the joint stationary distribution. Under some mild conditions, we derive rough tail asymptotics for the joint stationary distribution. Finally, in some special cases, we present the exact tail asymptotics of the joint stationary distribution.</div></div>\",\"PeriodicalId\":51160,\"journal\":{\"name\":\"Stochastic Processes and their Applications\",\"volume\":\"190 \",\"pages\":\"Article 104743\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2025-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stochastic Processes and their Applications\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304414925001863\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastic Processes and their Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304414925001863","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
Multidimensional sticky Brownian motions: Heavy traffic limit and rough tail asymptotics
Inspired by the concept of sticky Brownian motion on the half-line, we investigate a time-changed semimartingale reflecting Brownian motion in the orthant, which we refer to as multidimensional sticky Brownian motion. We first show that it can be obtained as a natural diffusion approximation for a certain tandem queue with exceptional arrival rates. Furthermore, we examine the tail dependence structure of the joint stationary distribution. Under some mild conditions, we derive rough tail asymptotics for the joint stationary distribution. Finally, in some special cases, we present the exact tail asymptotics of the joint stationary distribution.
期刊介绍:
Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests.
Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.