The Extremal Process of Branching Brownian Motion

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

31 pages, 1 figure

Scientific paper

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 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, 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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

The Extremal Process of Branching Brownian Motion does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with The Extremal Process of Branching Brownian Motion, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Extremal Process of Branching Brownian Motion will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-430760

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.