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  • 标题:On the volume of the shrinking branching Brownian sausage
  • 本地全文:下载
  • 作者:Mehmet Öz
  • 期刊名称:Electronic Communications in Probability
  • 印刷版ISSN:1083-589X
  • 出版年度:2020
  • 卷号:25
  • DOI:10.1214/20-ECP316
  • 语种:English
  • 出版社:Electronic Communications in Probability
  • 摘要:The branching Brownian sausage in $\mathbb{R} ^{d}$ was defined in [4] similarly to the classical Wiener sausage, as the random subset of $\mathbb{R} ^{d}$ scooped out by moving balls of fixed radius with centers following the trajectories of the particles of a branching Brownian motion (BBM). We consider a $d$-dimensional dyadic BBM, and study the large-time asymptotic behavior of the volume of the associated branching Brownian sausage (BBM-sausage) with radius exponentially shrinking in time. Using a previous result on the density of the support of BBM, and some well-known results on the classical Wiener sausage and Brownian hitting probabilities, we obtain almost sure limit theorems as time tends to infinity on the volume of the shrinking BBM-sausage in all dimensions.
  • 关键词:branching Brownian motion; density; sausage; strong law of large numbers
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