Moscow Mathematical Journal
Volume 23, Issue 3, July–September 2023 pp. 331–367.
The Theory of Wiener–Itô Integrals in Vector-Valued Gaussian Stationary Random Fields. Part II
This work is the continuation of my paper in Moscow
Math. Journal Vol. 20, No. 4 in 2020. In that paper the
existence of the spectral measure of a vector-valued stationary
Gaussian random field is proved and the vector-valued random
spectral measure corresponding to this spectral measure is
constructed. The most important properties of this random spectral
measure are formulated, and they enable us to define multiple
Wiener–Itô integrals with respect to it. Then an important
identity about the products of multiple Wiener–Itô integrals,
called the diagram formula is proved. In this paper an important
consequence of this result, the multivariate version of Itô's
formula is presented. It shows a relation between multiple
Wiener–Itô integrals with respect to vector-valued random
spectral measures and Wick polynomials. Wick polynomials are
the multivariate versions of Hermite polynomials. With the help
of Itô's formula the shift transforms of a random variable given
in the form of a multiple Wiener–Itô integral can be written
in a useful form. This representation of the shift transforms
makes possible to rewrite certain non-linear functionals of a
vector-valued stationary Gaussian random field in such a form
which suggests a limiting procedure that leads to new limit
theorems. Finally, this paper contains a result about the
problem when this limiting procedure may be carried out, i.e.,
when the limit theorems suggested by our representation
of the investigated non-linear functionals are valid. 2020 Math. Subj. Class. 60G10, 60G15, 60F99.
Authors:
Péter Major
Author institution:Alfréd Rényi Institute of Mathematics, Budapest, P.O.B. 127 H–1364, Hungary
Summary:
Keywords: Multiple Wiener–Itô integrals, multivariate version of Itô's formula, Wick polynomials, shift transformation, vague convergence of complex measures, non-central limit theorems
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