Ore and Chv\'atal-type Degree Conditions for Bootstrap Percolation from Small Sets
Michael Dairyko, Michael Ferrara, Bernard Lidick\'y, Ryan R. Martin,, Florian Pfender, Andrew J. Uzzell

TL;DR
This paper establishes Ore and Chvátal-type degree conditions that guarantee the existence of a small initial active set leading to complete activation in bootstrap percolation on graphs.
Contribution
It introduces new degree-based criteria ensuring minimal initial active sets for bootstrap percolation, extending previous results with specific exceptional graph classifications.
Findings
Ore-type degree sum condition guarantees percolation with two active vertices or specific exceptions.
Chvátal-type degree sequence condition ensures percolation with two active vertices or specific exceptions.
Results extend prior work by providing broader degree conditions for bootstrap percolation.
Abstract
Bootstrap percolation is a deterministic cellular automaton in which vertices of a graph~ begin in one of two states, "dormant" or "active". Given a fixed integer , a dormant vertex becomes active if at any stage it has at least active neighbors, and it remains active for the duration of the process. Given an initial set of active vertices , we say that -percolates (from ) if every vertex in becomes active after some number of steps. Let denote the minimum size of a set such that -percolates from . Bootstrap percolation has been studied in a number of settings, and has applications to both statistical physics and discrete epidemiology. Here, we are concerned with degree-based density conditions that ensure . In particular, we give an Ore-type degree sum result that states that if a graph satisfies ,…
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