Sandpile Groups of Random Bipartite Graphs
Shaked Koplewitz

TL;DR
This paper analyzes the asymptotic distribution of the p-rank of sandpile groups in random bipartite graphs, revealing a dependence on the ratio of vertices on each side and contrasting with Erdős-Rényi graphs.
Contribution
It introduces a novel analysis of sandpile groups in bipartite graphs, showing their distribution depends on graph properties rather than a universal random group model.
Findings
Distribution depends on the ratio of vertices on each side.
A threshold at ratio = 1/p determines the p-rank behavior.
Contrasts with Erdős-Rényi graph sandpile groups.
Abstract
We determine the asymptotic distribution of the p-rank of the sandpile groups of random bipartite graphs. We see that this depends on the ratio between the number of vertices on each side, with a threshold when the ratio between the sides is equal to 1/p. We follow the approach of Melanie Wood and consider random graphs as a special case of random matrices, and rely on a variant the definition of min-entropy given by Maples, in order to obtain useful results about these random matrices. Our results show that unlike the sandpile groups of Erdos-Renyi random graphs, the distribution of the sandpile groups of random bipartite graphs depends on the properties of the graph, rather than coming from some more general random group model.
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Taxonomy
TopicsTopological and Geometric Data Analysis · Mathematical Dynamics and Fractals · Stochastic processes and statistical mechanics
