ArXiv.org · 2001 · 34 citations · 7 references
EngineeringMathematicsPhysicsDynamical SystemsProbability TheoryStochastic ProcessesDiscrete-time Stochastic ProcessesMarkov ChainsMarkov ProcessesPoint ProcessesRandom WalksStatistical MechanicsRandom Walk ModelsRandom Walks In Random EnvironmentShapeSimple Random Walk
We prove a shape theorem for a growing set of simple random walks on Z^d, known as frog model. The dynamics of this process is described as follows: There are active particles, which perform independent discrete time SRWs, and sleeping particles, which do not move. When a sleeping particle is hit by an active particle, the former becomes active as well. Initially, a random number of particles is placed into each site. At time 0 all particles are sleeping, except for those placed at the origin. We prove that the set of all sites visited by active particles, rescaled by the elapsed time, converges to a compact convex set.
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J. F. C. Kingmán · The Annals of Probability · 1973 · 660 citations · Full text
An Improved Subadditive Ergodic Theorem
Thomas M. Liggett · The Annals of Probability · 1985 · 209 citations · Full text
The shape theorem for the frog model
O. S. M. Alves, Fábio P. Machado, Serguei Popov · The Annals of Applied Probability · 2002 · 122 citations · Full text
Engineering, Mathematics, Physics +12
Phase Transition for the Frog Model
O. S. M. Alves, Fábio P. Machado, Serguei Popov · Electronic Journal of Probability · 2002 · 72 citations · Full text