Abstract:
The notions of the Gibbs measure and of the Markov random field are known to coincide in the real case. But in the $p$-adic case, the class of $p$-adic Markov random fields is broader than that of $p$-adic Gibbs measures. We construct $p$-adic Markov random fields (on finite graphs) that are not $p$-adic Gibbs measures. We define a $p$-adic Markov random field on countable graphs and show that the set of such fields is a nonempty closed subspace in the set of all $p$-adic probability measures.