Asymptotics of the single-source stochastic sandpile model

preprint2022arXivOpen access

Abstract

In the single-source sandpile model, a number NN grains of sand are positioned at a central vertex on the 2-dimensional grid Z2\mathbb{Z}^2. We study the stabilisation of this configuration for a stochastic sandpile model based on a parameter M∈NM \in \mathbb{N}. In this model, if a vertex has at least 4M4M grains of sand, it topples, sending kk grains of sand to each of its four neighbours, where kk is drawn according to some random distribution γγ with support {1,⋯ ,M}\{1,\cdots,M\}. Topplings continue, a new random number kk being drawn each time, until we reach a stable configuration where all the vertices have less than 4M4M grains. This model is a slight variant on the one introduced by Kim and Wang. We analyse the stabilisation process described above as NN tends to infinity (for fixed MM), for various probability distributions γγ. We focus on two global parameters of the system, referred to as radius and avalanche numbers. The radius number is the greatest distance from the origin to which grains are sent during the stabilisation, while the avalanche number is the total number of topplings made. Our simulations suggest that both of these numbers have fairly simple asymptotic behaviours as functions of γγ, NN and MM as NN tends to infinity. We also provide a more detailed analysis in the case where γγ is the binomial distribution with parameter pp, in particular when pp tends to 11. We exhibit a phase transition in that regime at the scale p∼1/Np \sim 1/N.

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