Phase Transition for the Speed of the Biased Random Walk on the Supercritical Percolation Cluster |
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| Authors: | Alexander Fribergh Alan Hammond |
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| Affiliation: | 1. CNRS and Institut de Mathématiques de Toulouse, CNRS UMR 5219, Toulouse, France;2. Department of Statistics, University of Oxford, Oxford, United Kingdom |
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| Abstract: | We prove the sharpness of the phase transition for the speed in biased random walk on the supercritical percolation cluster on ?d. That is, for each d ≥ 2, and for any supercritical parameter p > pc, we prove the existence of a critical strength for the bias such that below this value the speed is positive, and above the value it is zero. We identify the value of the critical bias explicitly, and in the subballistic regime, we find the polynomial order of the distance moved by the particle. Each of these conclusions is obtained by investigating the geometry of the traps that are most effective at delaying the walk. A key element in proving our results is to understand that, on large scales, the particle trajectory is essentially one‐dimensional; we prove such a dynamic renormalization statement in a much stronger form than was previously known. © 2013 Wiley Periodicals, Inc. |
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