English

Universal Order and Gap Statistics of Critical Branching Brownian Motion

Statistical Mechanics 2014-06-03 v1 Disordered Systems and Neural Networks Probability

Abstract

We study the order statistics of one dimensional branching Brownian motion in which particles either diffuse (with diffusion constant DD), die (with rate dd) or split into two particles (with rate bb). At the critical point b=db=d which we focus on, we show that, at large time tt, the particles are collectively bunched together. We find indeed that there are two length scales in the system: (i) the diffusive length scale Dt\sim \sqrt{Dt} which controls the collective fluctuations of the whole bunch and (ii) the length scale of the gap between the bunched particles D/b\sim \sqrt{D/b}. We compute the probability distribution function P(gk,tn)P(g_k,t|n) of the kkth gap gk=xkxk+1g_k = x_k - x_{k+1} between the kkth and (k+1)(k+1)th particles given that the system contains exactly n>kn>k particles at time tt. We show that at large tt, it converges to a stationary distribution P(gk,tn)=p(gkn)P(g_k,t\to \infty|n) = p(g_k|n) with an algebraic tail p(gkn)8(D/b)gk3p(g_k|n) \sim 8(D/b) g_k^{-3}, for gk1g_k \gg 1, independent of kk and nn. We verify our predictions with Monte Carlo simulations.

Keywords

Cite

@article{arxiv.1403.4439,
  title  = {Universal Order and Gap Statistics of Critical Branching Brownian Motion},
  author = {Kabir Ramola and Satya N. Majumdar and Gregory Schehr},
  journal= {arXiv preprint arXiv:1403.4439},
  year   = {2014}
}

Comments

5 pages, 3 Figures