Critical percolation on random regular graphs

The behavior of the random graph G(n,p) around the critical probability pc = $ {1 \over n} $ is well understood. When p = (1 + O(n1-3))pc the components are roughly of size n2-3 and converge, when scaled by n-2-3, to excursion lengths of a Brownian motion with parabolic drift. In particular, in this regime, they are not concentrated. When p = (1 - e(n))pc with e(n)n1-3 →∞ (the subcritical regime) the largest component is concentrated around 2e-2 log(e3n). When p = (1 + e(n))pc with e(n)n1-3 →∞ (the supercritical regime), the largest component is concentrated around 2en and a duality principle holds: other component sizes are distributed as in the subcritical regime. Itai Benjamini asked whether the same phenomenon occurs in a random d-regular graph. Some results in this direction were obtained by (Pittel, Ann probab 36 (2008) 1359–1389). In this work, we give a complete affirmative answer, showing that the same limiting behavior (with suitable d dependent factors in the non-critical regimes) extends to random d-regular graphs. © 2009 Wiley Periodicals, Inc. Random Struct. Alg., 2010

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