Stochastic Sandpile Model: exact sampling and complete graph

Fuente: arXiv
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Main Authors: Campailla, Concetta, Forien, Nicolas
Format: Preprint
Published: 2025
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author Campailla, Concetta
Forien, Nicolas
author_facet Campailla, Concetta
Forien, Nicolas
contents We study the dynamics of the Stochastic Sandpile Model on finite graphs, with two main results. First, we describe a procedure to exactly sample from the stationary distribution of the model in all connected finite graphs, extending a result obtained by Levine and Liang for Activated Random Walks. Then, we study the model on the complete graph with a number of vertices tending to infinity and show that the stationary density tends to $1/2$. Along the way, we introduce a new point of view on the dynamics of the model, with active and sleeping particles, which may be of independent interest.
format Preprint
id arxiv_https___arxiv_org_abs_2507_01572
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Stochastic Sandpile Model: exact sampling and complete graph
Campailla, Concetta
Forien, Nicolas
Probability
60K35, 60J27, 82C22
We study the dynamics of the Stochastic Sandpile Model on finite graphs, with two main results. First, we describe a procedure to exactly sample from the stationary distribution of the model in all connected finite graphs, extending a result obtained by Levine and Liang for Activated Random Walks. Then, we study the model on the complete graph with a number of vertices tending to infinity and show that the stationary density tends to $1/2$. Along the way, we introduce a new point of view on the dynamics of the model, with active and sleeping particles, which may be of independent interest.
title Stochastic Sandpile Model: exact sampling and complete graph
topic Probability
60K35, 60J27, 82C22
url https://arxiv.org/abs/2507.01572