Abstract
We study the so-called frog model: Initially there are some “sleeping” particles and one “active” particle. A sleeping particle is activated when an active particle hits it, after that the activated particle starts to walk independently of everything and can activate other sleeping particles as well. The initial configuration of sleeping particles is random with density p(x). We identify the critical rate of decay of p(x) separating transience from recurrence, and study some other properties of the model.
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Popov, S.Y. Frogs in Random Environment. Journal of Statistical Physics 102, 191–201 (2001). https://doi.org/10.1023/A:1026516826875
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DOI: https://doi.org/10.1023/A:1026516826875