A Kesten–Stigum type theorem for a supercritical multitype branching process in a random environment

IF 1.4 2区 数学 Q2 STATISTICS & PROBABILITY
I. Grama, Quansheng Liu, Erwan Pin
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引用次数: 3

Abstract

Abstract. Consider a multi-type branching process in a random environment, whose reproduction law of generation n depends on the random environment at time n, unlike a constant distribution assumed in the Galton-Watson process. The famous Kesten-Stigum theorem for a supercritical multi-type Galton-Watson process gives a precise description of the exponential increasing rate of the population size via a criterion for the non-degeneracy of the fundamental martingale. Finding the corresponding result in the random environment case is a longstanding problem. For the single-type case the problem has been solved by Athreya and Karlin (1971) and Tanny (1988), but for the multi-type case it has been open for 50 years. Here we solve this problem in the typical case, by constructing a suitable martingale which reduces to the fundamental one in the constat environment case, and by establishing a criterion for the non-degeneracy of its limit. The convergence in law of the direction of the branching process is also considered. Our results open ways in establishing other limit theorems, such as law of large numbers, central limit theorems, Berry-Essen bound, and large deviation results.
随机环境下超临界多型分支过程的Kesten-Stigum型定理
摘要考虑随机环境中的多类型分支过程,其生成n的再现规律取决于时间n的随机环境,不同于Galton Watson过程中假设的常数分布。超临界多型Galton—Watson过程的著名Kesten—Stigum定理通过基本鞅的非退化性准则,给出了种群规模指数增长率的精确描述。在随机环境的情况下找到相应的结果是一个长期存在的问题。对于单一类型的情况,Athreya和Karlin(1971)以及Tanny(1988)已经解决了这个问题,但对于多类型的情况来说,它已经开放了50年。在典型情况下,我们通过构造一个适当的鞅来解决这个问题,该鞅在恒定环境情况下可以降为基本鞅,并通过建立其极限的非退化性的判据。还考虑了分支过程的方向律的收敛性。我们的结果为建立其他极限定理开辟了道路,如大数定律、中心极限定理、Berry-Essen界和大偏差结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annals of Applied Probability
Annals of Applied Probability 数学-统计学与概率论
CiteScore
2.70
自引率
5.60%
发文量
108
审稿时长
6-12 weeks
期刊介绍: The Annals of Applied Probability aims to publish research of the highest quality reflecting the varied facets of contemporary Applied Probability. Primary emphasis is placed on importance and originality.
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