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

IF 1.2 4区 数学 Q3 STATISTICS & PROBABILITY Advances in Applied Probability Pub Date : 2022-01-06 DOI:10.1017/apr.2022.39
Yevgeniy Kovchegov, Guochen Xu, I. Zaliapin
{"title":"Invariant Galton–Watson trees: metric properties and attraction with respect to generalized dynamical pruning","authors":"Yevgeniy Kovchegov, Guochen Xu, I. Zaliapin","doi":"10.1017/apr.2022.39","DOIUrl":null,"url":null,"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.","PeriodicalId":53160,"journal":{"name":"Advances in Applied Probability","volume":"55 1","pages":"643 - 671"},"PeriodicalIF":1.2000,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Applied Probability","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1017/apr.2022.39","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
A subgeometric convergence formula for finite-level M/G/1-type Markov chains: via a block-decomposition-friendly solution to the Poisson equation of the deviation matrix APR volume 55 issue 4 Cover and Front matter APR volume 55 issue 4 Cover and Back matter On sparsity, power-law, and clustering properties of graphex processes - ADDENDUM An inaccuracy measure between non-explosive point processes with applications to Markov chains
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1