具有可数多类型分支过程的灭绝概率:一般框架

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Alea-Latin American Journal of Probability and Mathematical Statistics Pub Date : 2020-11-19 DOI:10.30757/alea.v19-12
D. Bertacchi, Peter Braunsteins, S. Hautphenne, F. Zucca
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引用次数: 2

摘要

我们考虑具有可数类型集$\mathcal{X}$的Galton Watson分支过程。我们研究了向量${\bf-q}(A)=(q_x(A))_{x\in\mathcal{x}}$,记录了类型$A\substeq\mathcal{x}$的子集中灭绝的条件概率,假定初始个体的类型为$x$。我们首先研究向量${\bf-q}(A)$在子代生成向量的不动点集中的位置,并证明$q_x(\{x\})$大于或等于任何不动点的第$x$个入口,只要它不同于1。接下来,我们给出了任何初始类型$x$和$A,B\substeq\mathcal{x}$的$q_x(A)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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Extinction probabilities in branching processes with countably many types: a general framework
We consider Galton-Watson branching processes with countable typeset $\mathcal{X}$. We study the vectors ${\bf q}(A)=(q_x(A))_{x\in\mathcal{X}}$ recording the conditional probabilities of extinction in subsets of types $A\subseteq \mathcal{X}$, given that the type of the initial individual is $x$. We first investigate the location of the vectors ${\bf q}(A)$ in the set of fixed points of the progeny generating vector and prove that $q_x(\{x\})$ is larger than or equal to the $x$th entry of any fixed point, whenever it is different from 1. Next, we present equivalent conditions for $q_x(A)< q_x (B)$ for any initial type $x$ and $A,B\subseteq \mathcal{X}$. Finally, we develop a general framework to characterise all \emph{distinct} extinction probability vectors, and thereby to determine whether there are finitely many, countably many, or uncountably many distinct vectors. We illustrate our results with examples, and conclude with open questions.
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来源期刊
Alea-Latin American Journal of Probability and Mathematical Statistics
CiteScore
1.10
自引率
0.00%
发文量
48
期刊介绍: ALEA publishes research articles in probability theory, stochastic processes, mathematical statistics, and their applications. It publishes also review articles of subjects which developed considerably in recent years. All articles submitted go through a rigorous refereeing process by peers and are published immediately after accepted. ALEA is an electronic journal of the Latin-american probability and statistical community which provides open access to all of its content and uses only free programs. Authors are allowed to deposit their published article into their institutional repository, freely and with no embargo, as long as they acknowledge the source of the paper. ALEA is affiliated with the Institute of Mathematical Statistics.
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