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Titlebook: Gaussian Random Processes; I. A. Ibragimov,Y. A. Rozanov Book 1978 Springer-Verlag New York Inc. 1978 Ergodic theory.Gaussian measure.Gaus

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Book 1978operties of sam­ ple functions, theorems on functions of a complex variable, etc. ). Since 1958 many mathematicians have studied the problem of equivalence of various infinite-dimensional Gaussian distributions (detailed and sys­ tematic presentation of the basic results can be found, for instance,
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Preliminaries,oduct of vectors .=(.,…,.)and . = (.,…,.)) has the form .where . = (.…, .) ∈ ℝ is the . and . is a linear self-adjoint non- negative definite operator called a .; the matrix {.}defining . is said to be a ..
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The Structures of the Spaces ,(,) and ,(,),asure F(.)), is isometric to a space of functions .(.), which is the closed linear hull of the functions . for . ∈ [-π, π] in the case of discrete time . and for . ∈ [-∞,∞] in the case of continuous time .. This fact enables us to investigate stationary processes using analytic tools. To do this, it
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Complete Regularity and Processes with Continuous Time,ction IV.1 we obtained a characterization of the spectrum of Gaussian stationary processes satisfying a strong mixing condition. We note in advance that the results regarding the behavior of spectral densities .(.) of completely regular processes with continuous time on any finite interval of variat
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