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Random Gaussian Markov sequences with values in a Hilbert space - MaRDI portal

Random Gaussian Markov sequences with values in a Hilbert space (Q1102021)

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scientific article; zbMATH DE number 4048742
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Random Gaussian Markov sequences with values in a Hilbert space
scientific article; zbMATH DE number 4048742

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    Random Gaussian Markov sequences with values in a Hilbert space (English)
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    1986
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    In the present paper we study infinite-dimensional Gaussian-Markov (g.m.) sequences. We describe the structure of stationary Gaussian Markov (g.m.) sequences; under certain restrictions on the conditional expectation operator we find necessary and sufficient conditions for the convergence in distribution and ergodicity of homogeneous Gaussian Markov (g.m.) sequences; these conditions are essentially different from Doeblin's condition and from the other known sufficient conditions for convergence and ergodicity of Markov chains.
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    infinite-dimensional Gaussian-Markov (g.m.) sequences
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    conditional expectation operator
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    sufficient conditions for convergence
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    ergodicity of Markov chains
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