Article ID Journal Published Year Pages File Type
10331118 Information Processing Letters 2014 5 Pages PDF
Abstract
In the strict Majority Bootstrap Percolation process each passive vertex v becomes active if at least ⌈deg(v)+12⌉ of its neighbors are active (and thereafter never changes its state). We address the problem of finding graphs for which a small proportion of initial active vertices is likely to eventually make all vertices active. We study the problem on a ring of n vertices augmented with a “central” vertex u. Each vertex in the ring, besides being connected to u, is connected to its r closest neighbors to the left and to the right. We prove that if vertices are initially active with probability p>1/4 then, for large values of r, percolation occurs with probability arbitrarily close to 1 as n→∞. Also, if p<1/4, then the probability of percolation is bounded away from 1.
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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