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Uniform dimension results for Gaussian random fields
Authors:DongSheng Wu  YiMin Xiao
Institution:(1) Department of Mathematical Sciences, University of Alabama in Huntsville, Huntsville, AL 35899, USA;(2) Department of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA;(3) College of Mathematics and Computer Science, Anhui Normal University, Wuhu, 241000, China
Abstract:Let X = {X(t), t ∈ ℝ N } be a Gaussian random field with values in ℝ d defined by
$$
X(t) = (X_1 (t),...,X_d (t)),\forall t \in \mathbb{R}^N .
$$ ((1))
. The properties of space and time anisotropy of X and their connections to uniform Hausdorff dimension results are discussed. It is shown that in general the uniform Hausdorff dimension result does not hold for the image sets of a space-anisotropic Gaussian random field X. When X is an (N, d)-Gaussian random field as in (1), where X 1,...,X d are independent copies of a real valued, centered Gaussian random field X 0 which is anisotropic in the time variable. We establish uniform Hausdorff dimension results for the image sets of X. These results extend the corresponding results on one-dimensional Brownian motion, fractional Brownian motion and the Brownian sheet.
Keywords:anisotropic Gaussian random fields  sectorial local nondeterminism  image  Hausdorff dimension
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