Journal of Nonlinear Mathematical Physics · 2005 · 57 citations · 18 references
EngineeringMathematicsComplex SystemsProbability TheoryStochastic ProcessesMarkov ChainsMarkov ProcessesMulti-state ModelsStochastic NetworksHard-core ProcessesLoss Network ModelsMarkov Chains On GraphsMarkov Network ModelsPoisson SystemsRandom TreesState-and-transition ModelsStochastic Processes On Networks
We consider a nearest-neighbor hard-core model, with three states , on a homogeneous Cayley tree of order k (with k + 1 neighbors).This model arises as a simple example of a loss network with nearest-neighbor exclusion.The state σ(x) at each node x of the Cayley tree can be 0, 1 and 2. We have Poisson flow of calls of rate λ at each site x, each call has an exponential duration of mean 1.If a call finds the node in state 1 or 2 it is lost.If it finds the node in state 0 then things depend on the state of the neighboring sites.If all neighbors are in state 0, the call is accepted and the state of the node becomes 1 or 2 with equal probability 1/2.If at least one neighbor is in state 1, and there is no neighbor in state 2 then the state of the node becomes 1.If at least one neighbor is in state 2 the call is lost.We focus on 'splitting' Gibbs measures for this model, which are reversible equilibrium distributions for the above process.We prove that in this model, ∀ λ > 0 and k ≥ 1, there exists a unique translationinvariant splitting Gibbs measure µ * .We also study periodic splitting Gibbs measures and show that the above model admits only translation -invariant and periodic with period two (chess-board) Gibbs measures.We discuss some open problems and state several related conjectures.
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Markov Random Fields on an Infinite Tree
Frank Spitzer · The Annals of Probability · 1975 · 203 citations · Full text
Elchanan Mossel, Yuval Peres · The Annals of Applied Probability · 2003 · 153 citations · Full text