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math.CO2026

Sampling from the antiferromagnetic Ising model on bipartite, regular expander graphs

Anna Geisler, Mihyun Kang, Michail Sarantis +1

The antiferromagnetic Ising model samples subsets of vertices of a graph with weight decaying exponentially in the number of edges induced. We study the problem of sampling from th…

math.CO2025

Majority bootstrap percolation on the permutahedron and other high-dimensional graphs

Maurício Collares, Joshua Erde, Anna Geisler +1

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 ne…

math.CO2025

Counting independent sets in percolated graphs via the Ising model

Anna Geisler, Mihyun Kang, Michail Sarantis +1

Given a graph , we form a random subgraph by including each edge of independently with probability . We provide an asymptotic expansion of the expected number of in…

math.CO2025

Counting independent sets in expanding bipartite regular graphs

Maurício Collares, Joshua Erde, Anna Geisler +1

In this paper we provide an asymptotic expansion for the number of independent sets in a general class of regular, bipartite graphs satisfying some vertex-expansion properties, ext…

math.CO2024

Universal behaviour of majority bootstrap percolation on high-dimensional geometric graphs

Maurício Collares, Joshua Erde, Anna Geisler +1

Majority bootstrap percolation is a monotone cellular automaton that can be thought of as a model of infection spreading in networks. Starting with an initially infected set, new v…