Abstract
There is a canonical way to assign a translation invariant Markov measure to every finite irreducible nonnegative matrix. This measure is defined on a sequence space, translation invariant, and satisfies a variational principle (due to the last property it is said to be equilibrium). The same can be done for some infinite nonnegative matrices. If A is such a matrix, one can consider an increasing sequence of its finite irreducible submatrices A n that tends to A in a natural sense, and ask if the equilibrium measure μ An assigned to A n converges to the equilibrium measure μ A assigned to A. For two classes of matrices A, the answer does not depend on {A n }: for one of these classes, μ An → μ A , for the other one, μ An converges to the zero measure. We describe, in geometric terms, a third class located ‘between’ the above two for which the situation is also intermediate: for some sequences {A n } the asymptotic behavior of μ An is as in the first class, while for some other sequences the behavior is as in the second one.
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Gurevich, B.M., Novokreschenova, O.R. On asymptotic properties of equilibrium measures corresponding to finite submatrices of infinite nonnegative matrices. J Dyn Control Syst 19, 327–347 (2013). https://doi.org/10.1007/s10883-013-9181-8
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DOI: https://doi.org/10.1007/s10883-013-9181-8