A sufficient condition for the equivalence of probability measures corresponding to Gaussian homogeneous random fields (Q2771525)

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scientific article; zbMATH DE number 1705770
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A sufficient condition for the equivalence of probability measures corresponding to Gaussian homogeneous random fields
scientific article; zbMATH DE number 1705770

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    17 February 2002
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    Gaussian field
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    generalized field
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    equivalence of measures
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    correlation function
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    A sufficient condition for the equivalence of probability measures corresponding to Gaussian homogeneous random fields (English)
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    The author presents a sufficient condition of equivalence of measures induced by generalized (as well as usual) homogeneous Gaussian centered random fields. This condition is formulated in terms of the generalized functions \(K\) such that the correlation function of the field \(\xi(\cdot)\) can be represented as \(E\xi(\varphi)\xi(\psi)=K(\varphi\ast\psi)\), where \(\varphi\ast\psi\) is a convolution of the basic functions \(\varphi\) and \(\psi\). The integral representation of multi-parameter functions, properties of the Sobolev functional spaces and embedding theorems play an important role in analysis and reformulation of the equivalence condition.
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