The extremal process of branching Brownian motion

被引:98
|
作者
Arguin, Louis-Pierre [1 ]
Bovier, Anton [2 ]
Kistler, Nicola [2 ]
机构
[1] Univ Montreal, Dept Math & Stat, Montreal, PQ H3T 1J4, Canada
[2] Univ Bonn, Inst Angew Math, D-53115 Bonn, Germany
基金
加拿大自然科学与工程研究理事会;
关键词
Branching Brownian motion; Extreme value theory; Extremal process; Traveling waves; MODELS; STATISTICS; EQUATION;
D O I
10.1007/s00440-012-0464-x
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We prove that the extremal process of branching Brownian motion, in the limit of large times, converges weakly to a cluster point process. The limiting process is a (randomly shifted) Poisson cluster process, where the positions of the clusters is a Poisson process with intensity measure with exponential density. The law of the individual clusters is characterized as branching Brownian motions conditioned to perform "unusually large displacements", and its existence is proved. The proof combines three main ingredients. First, the results of Bramson on the convergence of solutions of the Kolmogorov-Petrovsky-Piscounov equation with general initial conditions to standing waves. Second, the integral representations of such waves as first obtained by Lalley and Sellke in the case of Heaviside initial conditions. Third, a proper identification of the tail of the extremal process with an auxiliary process (based on the work of Chauvin and Rouault), which fully captures the large time asymptotics of the extremal process. The analysis through the auxiliary process is a rigorous formulation of the cavity method developed in the study of mean field spin glasses.
引用
收藏
页码:535 / 574
页数:40
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