Invariant Galton–Watson trees: metric properties and attraction with respect to generalized dynamical pruning

IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY
Yevgeniy Kovchegov, Guochen Xu, I. Zaliapin
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引用次数: 0

Abstract

Abstract The invariant Galton–Watson (IGW) tree measures are a one-parameter family of critical Galton–Watson measures invariant with respect to a large class of tree reduction operations. Such operations include the generalized dynamical pruning (also known as hereditary reduction in a real tree setting) that eliminates descendant subtrees according to the value of an arbitrary subtree function that is monotone nondecreasing with respect to an isometry-induced partial tree order. We show that, under a mild regularity condition, the IGW measures are attractors of arbitrary critical Galton–Watson measures with respect to the generalized dynamical pruning. We also derive the distributions of height, length, and size of the IGW trees.
不变Galton–Watson树:关于广义动态修剪的度量性质和吸引
摘要不变量Galton–Watson(IGW)树测度是一个关于一大类树约简操作不变的临界Galton–沃森测度的单参数族。这样的操作包括广义动态修剪(也称为实树设置中的遗传约简),其根据任意子树函数的值来消除后代子树,该任意子树函数相对于等距诱导的部分树阶是单调不递减的。我们证明,在温和正则条件下,IGW测度是关于广义动态修剪的任意临界Galton–Watson测度的吸引子。我们还推导了IGW树的高度、长度和大小的分布。
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来源期刊
Advances in Applied Probability
Advances in Applied Probability 数学-统计学与概率论
CiteScore
2.00
自引率
0.00%
发文量
64
审稿时长
6-12 weeks
期刊介绍: The Advances in Applied Probability has been published by the Applied Probability Trust for over four decades, and is a companion publication to the Journal of Applied Probability. It contains mathematical and scientific papers of interest to applied probabilists, with emphasis on applications in a broad spectrum of disciplines, including the biosciences, operations research, telecommunications, computer science, engineering, epidemiology, financial mathematics, the physical and social sciences, and any field where stochastic modeling is used. A submission to Applied Probability represents a submission that may, at the Editor-in-Chief’s discretion, appear in either the Journal of Applied Probability or the Advances in Applied Probability. Typically, shorter papers appear in the Journal, with longer contributions appearing in the Advances.
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