For percolation on finite transitive graphs, Nachmias and Peres suggested a characterization of the critical probability based on the logarithmic derivative of the susceptibility. As a first test-case, we study their suggestion for the Erdos–Rényi random graph Gn,p, and confirm that the logarithmic derivative has the desired properties: (i) its maximizer lies inside the critical window p = 1/n + Θ(n−4/3), and (ii) the inverse of its maximum value coincides with the Θ(n−4/3)–width of the critical window. We also prove that the maximizer is not located at p = 1/n or p = 1/(n − 1), refuting a speculation of Peres.
CITATION STYLE
Janson, S., & Warnke, L. (2018). On the critical probability in percolation. Electronic Journal of Probability, 23. https://doi.org/10.1214/17-EJP52
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