Random subgraphs of finite graphs: I. The scaling window under the triangle condition
arXiv:math/0401069
Abstract
We study random subgraphs of an arbitrary finite connected transitive graph obtained by independently deleting edges with probability . Let be the number of vertices in , and let be their degree. We define the critical threshold to be the value of for which the expected cluster size of a fixed vertex attains the value , where is fixed and positive. We show that for any such model, there is a phase transition at analogous to the phase transition for the random graph, provided that a quantity called the triangle diagram is sufficiently small at the threshold . In particular, we show that the largest cluster inside a scaling window of size $|p-p_c|=Θ(\cn^{-1}V^{-1/3})$ is of size , while below this scaling window, it is much smaller, of order , with $ε=\cn(p_c-p)$. We also obtain an upper bound $O(\cn(p-p_c)V)$ for the expected size of the largest cluster above the window. In addition, we define and analyze the percolation probability above the window and show that it is of order $Θ(\cn(p-p_c))$. Among the models for which the triangle diagram is small enough to allow us to draw these conclusions are the random graph, the -cube and certain Hamming cubes, as well as the spread-out -dimensional torus for .