Speaker Asaf Nachmias
Affiliation UC Berkeley
Host Jennifer Chayes
Date recorded 4 January 2008
Bond percolation on a graph G with parameter p in [0,1] is the random subgraph Gp of G obtained by independently deleting each edge with probability 1-p and retaining it with probability p. For many graphs, the size of the largest component of Gp exhibits a phase transition: it changes sharply from logarithmic to linear as p increases. When G is the complete graph, this model is known as the Erdos-Renyi random graph: at the phase transition, i.e. p=1/n, the largest component satisfies a power-law of order 2/3.
For which d-regular graphs does percolation with p=1/(d-1) exhibit similar "mean-field" behavior? We show that this occurs for graphs where the probability of a non-backtracking random walk to return to its initial location behaves as it does on the complete graph. In particular, the celebrated Lubotzky-Phillips-Sarnak expander graphs and Cartesian products of 2 or 3 complete graphs exhibit mean-field behavior at p=1/(d-1); surprisingly, a product of 4 complete graphs does not.
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