Persistence properties of a system of coagulating and annihilating random walkers

TL;DR

This paper analyzes the persistence properties of a system of diffusing particles that either annihilate or coagulate upon contact, using renormalization group techniques and simulations to understand their behavior across different dimensions.

Contribution

It provides a detailed theoretical analysis of coagulating and annihilating random walkers, deriving scaling laws and probabilities using perturbative renormalization group methods.

Findings

In 1D, P(m,t) scales as m^(z/d) t^(-theta) with specific exponents.

In 2D, P(m,t) exhibits logarithmic scaling with time and coagulation number.

Monte Carlo simulations confirm the 1D analytical results.

Abstract

We study a d-dimensional system of diffusing particles that on contact either annihilate with probability 1/(q-1) or coagulate with probability (q-2)/(q-1). In 1-dimension, the system models the zero temperature Glauber dynamics of domain walls in the q-state Potts model. We calculate P(m,t), the probability that a randomly chosen lattice site contains a particle whose ancestors have undergone exactly (m-1) coagulations. Using perturbative renormalization group analysis for d < 2, we show that, if the number of coagulations m is much less than the typical number M(t), then P(m,t) ~ m^(z/d) t^(-theta), with theta=d Q + Q(Q-1/2) epsilon + O(epsilon^2), z=(2Q-1) epsilon + (2 Q-1) (Q-1)(1/2+A Q) epsilon^2 +O(epsilon^3), where Q=(q-1)/q, epsilon =2-d and A =-0.006. M(t) is shown to scale as t^(d/2-delta), where delta = d (1 -Q)+(Q-1)(Q-1/2) epsilon+ O(epsilon^2). In two dimensions, we show that P(m,t) ~ ln(t)^(Q(3-2Q)) ln(m)^((2Q-1)^2) t^(-2Q) for m << t^(2 Q-1). The 1-dimensional results corresponding to epsilon=1 are compared with results from Monte Carlo simulations.