A type of Markov approximation of random fields on a homogeneous tree and a class of small deviation theorems (Q2275789)

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A type of Markov approximation of random fields on a homogeneous tree and a class of small deviation theorems
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    A type of Markov approximation of random fields on a homogeneous tree and a class of small deviation theorems (English)
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    9 August 2011
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    A class of small deviation theorems for an arbitrary bivariate function is introduced by introducing the sample relative entropy rate as a measure of deviation between the arbitrary random field and the Markov chains field on the homogeneous tree. As corollaries, a class of small deviation theorems for the frequencies of states ordered couples and a Shannon-McMillan approximation theorem for arbitrary random fields on the homogeneous tree are obtained.
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    Shannon-McMillan theorem
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    homogeneous tree
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    arbitrary random field
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    Markov random field
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    sample relative entropy density
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