{"title":"临界加尔顿-沃森分支过程的大偏差","authors":"Dou-dou Li, Wan-lin Shi, Mei Zhang","doi":"10.1007/s10255-024-1058-y","DOIUrl":null,"url":null,"abstract":"<p>In this paper, a critical Galton-Watson branching process {<i>Z</i><sub><i>n</i></sub>} is considered. Large deviation rates of <span>\\({S_{{Z_n}}}: = \\sum\\limits_{i = 1}^{{Z_n}} {{X_i}} \\)</span> are obtained, where {<i>X</i><sub><i>i</i></sub>, <i>i</i> ≥ 1} is a sequence of independent and identically distributed random variables and <i>X</i><sub>1</sub> is in the domain of attraction of an <i>α</i>-stable law with <i>α</i> ∈ (0, 2). One shall see that the convergence rate is determined by the tail index of <i>X</i><sub>1</sub> and the variance of <i>Z</i><sub>1</sub>. Our results can be compared with those ones of the supercritical case.</p>","PeriodicalId":6951,"journal":{"name":"Acta Mathematicae Applicatae Sinica, English Series","volume":"50 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Large Deviations for a Critical Galton-Watson Branching Process\",\"authors\":\"Dou-dou Li, Wan-lin Shi, Mei Zhang\",\"doi\":\"10.1007/s10255-024-1058-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In this paper, a critical Galton-Watson branching process {<i>Z</i><sub><i>n</i></sub>} is considered. Large deviation rates of <span>\\\\({S_{{Z_n}}}: = \\\\sum\\\\limits_{i = 1}^{{Z_n}} {{X_i}} \\\\)</span> are obtained, where {<i>X</i><sub><i>i</i></sub>, <i>i</i> ≥ 1} is a sequence of independent and identically distributed random variables and <i>X</i><sub>1</sub> is in the domain of attraction of an <i>α</i>-stable law with <i>α</i> ∈ (0, 2). One shall see that the convergence rate is determined by the tail index of <i>X</i><sub>1</sub> and the variance of <i>Z</i><sub>1</sub>. Our results can be compared with those ones of the supercritical case.</p>\",\"PeriodicalId\":6951,\"journal\":{\"name\":\"Acta Mathematicae Applicatae Sinica, English Series\",\"volume\":\"50 1\",\"pages\":\"\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2024-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Mathematicae Applicatae Sinica, English Series\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1007/s10255-024-1058-y\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Mathematicae Applicatae Sinica, English Series","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s10255-024-1058-y","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Large Deviations for a Critical Galton-Watson Branching Process
In this paper, a critical Galton-Watson branching process {Zn} is considered. Large deviation rates of \({S_{{Z_n}}}: = \sum\limits_{i = 1}^{{Z_n}} {{X_i}} \) are obtained, where {Xi, i ≥ 1} is a sequence of independent and identically distributed random variables and X1 is in the domain of attraction of an α-stable law with α ∈ (0, 2). One shall see that the convergence rate is determined by the tail index of X1 and the variance of Z1. Our results can be compared with those ones of the supercritical case.
期刊介绍:
Acta Mathematicae Applicatae Sinica (English Series) is a quarterly journal established by the Chinese Mathematical Society. The journal publishes high quality research papers from all branches of applied mathematics, and particularly welcomes those from partial differential equations, computational mathematics, applied probability, mathematical finance, statistics, dynamical systems, optimization and management science.