Voter model in a random environment in
Zhichao SHAN, Dayue CHEN
Voter model in a random environment in
We consider the voter model with flip rates determined by {μe, e ∈ Ed}, where Ed is the set of all non-oriented nearest-neighbour edges in the Euclidean lattice . Suppose that {μe, e ∈ Ed} are independent and identically distributed (i.i.d.) random variables satisfying μe≥1. We prove that when d = 2, almost surely for all random environments, the voter model has only two extremal invariant measures: δ0 and δ1.
Voter model / random walk / random environment / duality
[1] |
Barlow M T, Deuschel J-D. Invariance principle for the random conductance model with unbounded conductances. Ann Probab, 2010, 38(1): 234-276
CrossRef
Google scholar
|
[2] |
Barlow M T, Peres Y, Sousi P. Collisions of random walks. Preprint, 2010 (http://arxiv.org/abs/1003.3255)
|
[3] |
Chen X, Chen D. Two random walks on the open cluster of
CrossRef
Google scholar
|
[4] |
Chen X, Chen D. Some sufficient conditions for infinite collisions of simple random walks on a wedge comb. Electron J Probab, 2011, 16: 1341-1355
CrossRef
Google scholar
|
[5] |
Delmotte T. Parabolic Harnack inequality and estimates of Markov chains on graphs. Rev Mat Iberoam, 1999, 15: 181-232
CrossRef
Google scholar
|
[6] |
Delmotte T, Deuschel J-D. On estimating the derivatives of symmetric diffusions in stationary random environment, with applications to ▿ϕ interface model. Probab Theory Related Fields, 2005, 133: 358-390
CrossRef
Google scholar
|
[7] |
Durrett R T. Probability: Theory and Examples. <BibVersion>3rd ed</BibVersion>. Belmont: Brooks/Cole, 2005
|
[8] |
Ferreira I. The probability of survival for the biased voter model in a random environment. Stochastic Process Appl, 1990, 34: 25-38
CrossRef
Google scholar
|
[9] |
Krishnapur M, Peres Y. Recurrent graphs where two independent random walks collide finitely often. Electron Commun Probab, 2004, 9: 72-81
CrossRef
Google scholar
|
[10] |
Liggett T M. Interacting Particle Systems. New York: Springer-Verlag, 1985
CrossRef
Google scholar
|
/
〈 | 〉 |