The Yaglom limit for branching Brownian motion with absorption and slightly subcritical drift

Julien Berestycki, Jiaqi Liu, Bastien Mallein, Jason Schweinsberg
{"title":"The Yaglom limit for branching Brownian motion with absorption and slightly subcritical drift","authors":"Julien Berestycki, Jiaqi Liu, Bastien Mallein, Jason Schweinsberg","doi":"arxiv-2409.08789","DOIUrl":null,"url":null,"abstract":"Consider branching Brownian motion with absorption in which particles move\nindependently as one-dimensional Brownian motions with drift $-\\rho$, each\nparticle splits into two particles at rate one, and particles are killed when\nthey reach the origin. Kesten (1978) showed that this process dies out with\nprobability one if and only if $\\rho \\geq \\sqrt{2}$. We show that in the\nsubcritical case when $\\rho > \\sqrt{2}$, the law of the process conditioned on\nsurvival until time $t$ converges as $t \\rightarrow \\infty$ to a\nquasi-stationary distribution, which we call the Yaglom limit. We give a\nconstruction of this quasi-stationary distribution. We also study the\nasymptotic behavior as $\\rho \\downarrow \\sqrt{2}$ of this quasi-stationary\ndistribution. We show that the logarithm of the number of particles and the\nlocation of the highest particle are of order $\\epsilon^{-1/3}$, and we obtain\na limit result for the empirical distribution of the particle locations.","PeriodicalId":501245,"journal":{"name":"arXiv - MATH - Probability","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Probability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.08789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Consider branching Brownian motion with absorption in which particles move independently as one-dimensional Brownian motions with drift $-\rho$, each particle splits into two particles at rate one, and particles are killed when they reach the origin. Kesten (1978) showed that this process dies out with probability one if and only if $\rho \geq \sqrt{2}$. We show that in the subcritical case when $\rho > \sqrt{2}$, the law of the process conditioned on survival until time $t$ converges as $t \rightarrow \infty$ to a quasi-stationary distribution, which we call the Yaglom limit. We give a construction of this quasi-stationary distribution. We also study the asymptotic behavior as $\rho \downarrow \sqrt{2}$ of this quasi-stationary distribution. We show that the logarithm of the number of particles and the location of the highest particle are of order $\epsilon^{-1/3}$, and we obtain a limit result for the empirical distribution of the particle locations.
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
具有吸收和轻微次临界漂移的分支布朗运动的雅格洛姆极限
考虑有吸收的分支布朗运动,其中粒子作为漂移为 $-\rho$ 的一维布朗运动独立运动,每个粒子以 1 的速率分裂成两个粒子,当粒子到达原点时被杀死。Kesten(1978)证明,当且仅当 $\rho \geq \sqrt{2}$ 时,这一过程会以 1 的概率消亡。我们证明,在$\rho > \sqrt{2}$的次临界情况下,以存活到时间$t$为条件的过程规律随着$t \rightarrow \infty$收敛到水稳态分布,我们称之为Yaglom极限。我们给出了这种准稳态分布的构造。我们还研究了这种准稳态分布的$\rho \downarrow \sqrt{2}$ 的渐近行为。我们证明粒子数量的对数和最高粒子的位置都是 $\epsilon^{-1/3}$ 的,并且得到了粒子位置经验分布的极限结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Total disconnectedness and percolation for the supports of super-tree random measures The largest fragment in self-similar fragmentation processes of positive index Local limit of the random degree constrained process The Moran process on a random graph Abelian and stochastic sandpile models on complete bipartite graphs
×
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:481959085
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