Majority bootstrap percolation on the permutahedron and other high-dimensional graphs
Maur\'icio Collares, Joshua Erde, Anna Geisler, Mihyun Kang

TL;DR
This paper extends the understanding of majority bootstrap percolation to a class of high-dimensional graphs, including the permutahedron, establishing universal bounds on the critical window and analyzing effects of graph irregularity.
Contribution
It generalizes previous results to a broader class of high-dimensional graphs with superexponential order, including the permutahedron, and improves bounds on the critical window, especially for regular graphs.
Findings
Universal behavior of the critical window in high-dimensional graphs.
Improved bounds on the critical window for hypercubes.
Analysis of irregular graphs, including the Cartesian product of stars.
Abstract
Majority bootstrap percolation is a model of infection spreading in networks. Starting with a set of initially infected vertices, new vertices become infected once half of their neighbours are infected. Balogh, Bollob\'{a}s and Morris studied this process on the hypercube and showed that there is a phase transition as the density of the initially infected set increases. Generalising their results to a broad class of high-dimensional graphs, the authors of this work established similar bounds on the critical window, establishing a universal behaviour for these graphs. These methods necessitated an exponential bound on the order of the graphs in terms of their degrees. In this paper, we consider a slightly more restrictive class of high-dimensional graphs, which nevertheless covers most examples considered previously. Under these stronger assumptions, we are able to show that this…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Complex Network Analysis Techniques · Theoretical and Computational Physics
