English

Multi-point correlations for two dimensional coalescing random walks

Probability 2019-05-16 v2 Statistical Mechanics

Abstract

This paper considers an infinite system of instantaneously coalescing rate one simple random walks on Z2\mathbb{Z}^2, started from the initial condition with all sites in Z2\mathbb{Z}^2 occupied. We show that the correlation functions of the model decay, for any N2N \geq 2, as ρN(x1,,xN;t)=c0(x1,,xN)πN(logt)N(N2)tN(1+O(1log12δ ⁣t)) \rho_N (x_1,\ldots,x_N;t) = \frac{c_0(x_1,\ldots,x_N)}{\pi^N} (\log t)^{N-{N \choose 2}} t^{-N} \left(1 + O\left( \frac{1}{\log^{\frac12-\delta}\!t} \right) \right) as tt \to\infty. This generalises the results for N=1N=1 due to Bramson and Griffeath and confirms a prediction in the physics literature for N>1N>1. An analogous statement holds for instantaneously annihilating random walks. The key tools are the known asymptotic ρ1(t)logt/πt\rho_1(t) \sim \log t/\pi t due to Bramson and Griffeath, and the non-collision probability pNC(t)p_{NC}(t), that no pair of a finite collection of NN two dimensional simple random walks meets by time tt, whose asymptotic pNC(t)c0(logt)(N2)p_{NC}(t) \sim c_0 (\log t)^{-{N \choose 2}} was found by Cox, Merle and Perkins. This paper re-derives the asymptotics both for ρ1(t)\rho_1(t) and pNC(t)p_{NC}(t) by proving that these quantities satisfy {\it effective rate equations}, that is approximate differential equations at large times. This approach can be regarded as a generalisation of the Smoluchowski theory of renormalised rate equations to multi-point statistics.

Keywords

Cite

@article{arxiv.1707.06250,
  title  = {Multi-point correlations for two dimensional coalescing random walks},
  author = {Jamie Lukins and Roger Tribe and Oleg Zaboronski},
  journal= {arXiv preprint arXiv:1707.06250},
  year   = {2019}
}

Comments

26 pages

R2 v1 2026-06-22T20:52:12.159Z