Optimal local interventions in the two-dimensional Abelian sandpile model

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: de Jongh, Maike C., Boucherie, Richard J., van Lieshout, M. N. M.
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866917361742774272
author de Jongh, Maike C.
Boucherie, Richard J.
van Lieshout, M. N. M.
author_facet de Jongh, Maike C.
Boucherie, Richard J.
van Lieshout, M. N. M.
contents The Abelian sandpile model serves as a canonical example of self-organized criticality. This critical behavior manifests itself through large cascading events triggered by small perturbations. Such large-scale events, known as avalanches, are often regarded as stylized representations of catastrophic phenomena, such as earthquakes or forest fires. Motivated by this perspective, we study strategies to reduce avalanche sizes. We provide a first rigorous analysis of the impact of interventions in the Abelian sandpile model, considering a setting in which an external controller can perturb a configuration by removing sand grains at selected locations. We first develop and formalize an extended method to compute the expected size of an avalanche originating from a connected component of critical vertices, i.e., vertices at maximum height. Using this method, we characterize the structure of avalanches starting from square components and explicitly analyze the effect of interventions in such components. Our results show that the optimal intervention locations strike an interesting balance between reduction of largest avalanche sizes and increasing the number of mitigated avalanches.
format Preprint
id arxiv_https___arxiv_org_abs_2603_24459
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Optimal local interventions in the two-dimensional Abelian sandpile model
de Jongh, Maike C.
Boucherie, Richard J.
van Lieshout, M. N. M.
Optimization and Control
Mathematical Physics
Probability
60K35, 93E20, 82C22
The Abelian sandpile model serves as a canonical example of self-organized criticality. This critical behavior manifests itself through large cascading events triggered by small perturbations. Such large-scale events, known as avalanches, are often regarded as stylized representations of catastrophic phenomena, such as earthquakes or forest fires. Motivated by this perspective, we study strategies to reduce avalanche sizes. We provide a first rigorous analysis of the impact of interventions in the Abelian sandpile model, considering a setting in which an external controller can perturb a configuration by removing sand grains at selected locations. We first develop and formalize an extended method to compute the expected size of an avalanche originating from a connected component of critical vertices, i.e., vertices at maximum height. Using this method, we characterize the structure of avalanches starting from square components and explicitly analyze the effect of interventions in such components. Our results show that the optimal intervention locations strike an interesting balance between reduction of largest avalanche sizes and increasing the number of mitigated avalanches.
title Optimal local interventions in the two-dimensional Abelian sandpile model
topic Optimization and Control
Mathematical Physics
Probability
60K35, 93E20, 82C22
url https://arxiv.org/abs/2603.24459