Erlang加权树,一个新的分支过程

Pub Date : 2023-10-23 DOI:10.1002/rsa.21180
Mehrdad Moharrami, Vijay Subramanian, Mingyan Liu, Rajesh Sundaresan
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引用次数: 1

摘要

本文研究了一种新的离散树及其分支过程,我们称之为厄朗加权树(EWT)。EWT作为La and Kabkab提出的随机图模型的局部弱极限出现,互联网数学,11 (2015),no。6, 528 - 554。与众所周知的随机图模型的局部弱极限相比,EWT具有相互依赖的结构。特别是,它的顶点编码了一个具有不可数多类型的多类型分支过程。我们推导了EWT的主要性质,如灭绝概率、增长率等。我们证明了消光概率是算子的最小不动点。然后,我们从点过程的角度分析增长率算子。导出了生长算子的Krein-Rutman特征值和相应的特征函数,并证明了消光的概率等于1当且仅当。
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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The Erlang weighted tree, a new branching process
Abstract In this paper, we study a new discrete tree and the resulting branching process, which we call the erlang weighted tree(EWT). The EWT appears as the local weak limit of a random graph model proposed in La and Kabkab, Internet Math. 11 (2015), no. 6, 528–554. In contrast to the local weak limit of well‐known random graph models, the EWT has an interdependent structure. In particular, its vertices encode a multi‐type branching process with uncountably many types. We derive the main properties of the EWT, such as the probability of extinction, growth rate, and so forth. We show that the probability of extinction is the smallest fixed point of an operator. We then take a point process perspective and analyze the growth rate operator. We derive the Krein–Rutman eigenvalue and the corresponding eigenfunctions of the growth operator, and show that the probability of extinction equals one if and only if .
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