Multi-point correlations for two-dimensional coalescing or annihilating random walks
| Autor: | Oleg Zaboronski, Roger Tribe, James Lukins |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Statistics and Probability
Particle system Logarithm Differential equation General Mathematics 010102 general mathematics Field (mathematics) Simple random sample Random walk 01 natural sciences 010104 statistics & probability Correlation function Initial value problem Statistical physics 0101 mathematics Statistics Probability and Uncertainty Mathematics |
| Zdroj: | Journal of Applied Probability. 55:1158-1185 |
| ISSN: | 1475-6072 0021-9002 |
| DOI: | 10.1017/jpr.2018.77 |
| Popis: | In this paper we consider an infinite system of instantaneously coalescing rate 1 simple symmetric random walks on ℤ2, started from the initial condition with all sites in ℤ2 occupied. Two-dimensional coalescing random walks are a `critical' model of interacting particle systems: unlike coalescence models in dimension three or higher, the fluctuation effects are important for the description of large-time statistics in two dimensions, manifesting themselves through the logarithmic corrections to the `mean field' answers. Yet the fluctuation effects are not as strong as for the one-dimensional coalescence, in which case the fluctuation effects modify the large time statistics at the leading order. Unfortunately, unlike its one-dimensional counterpart, the two-dimensional model is not exactly solvable, which explains a relative scarcity of rigorous analytic answers for the statistics of fluctuations at large times. Our contribution is to find, for any N≥2, the leading asymptotics for the correlation functions ρN(x1,…,xN) as t→∞. This generalises the results for N=1 due to Bramson and Griffeath (1980) and confirms a prediction in the physics literature for N>1. An analogous statement holds for instantaneously annihilating random walks. The key tools are the known asymptotic ρ1(t)∼logt∕πt due to Bramson and Griffeath (1980), and the noncollision probability 𝒑NC(t), that no pair of a finite collection of N two-dimensional simple random walks meets by time t, whose asymptotic 𝒑NC(t)∼c0(logt)-(N2) was found by Cox et al. (2010). We re-derive the asymptotics, and establish new error bounds, both for ρ1(t) and 𝒑NC(t) by proving that these quantities satisfy 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. |
| Databáze: | OpenAIRE |
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