{"title":"Hausdorff Measure and Uniform Dimension for Space-Time Anisotropic Gaussian Random Fields","authors":"Weijie Yuan, Zhenlong Chen","doi":"10.1007/s10959-024-01323-7","DOIUrl":null,"url":null,"abstract":"<p>Let <span>\\(X=\\{ X(t), t\\in \\mathbb {R}^{N}\\} \\)</span> be a centered space-time anisotropic Gaussian random field in <span>\\(\\mathbb {R}^d\\)</span> with stationary increments, where the components <span>\\(X_{i}(i=1,\\ldots ,d)\\)</span> are independent but distributed differently. Under certain conditions, we not only give the Hausdorff dimension of the graph sets of <i>X</i> in the asymmetric metric in the recurrent case, but also determine the exact Hausdorff measure functions of the graph sets of <i>X</i> in the transient and recurrent cases, respectively. Moreover, we establish a uniform Hausdorff dimension result for the image sets of <i>X</i>. Our results extend the corresponding results on fractional Brownian motion and space or time anisotropic Gaussian random fields.\n</p>","PeriodicalId":54760,"journal":{"name":"Journal of Theoretical Probability","volume":"84 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Theoretical Probability","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s10959-024-01323-7","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0
Abstract
Let \(X=\{ X(t), t\in \mathbb {R}^{N}\} \) be a centered space-time anisotropic Gaussian random field in \(\mathbb {R}^d\) with stationary increments, where the components \(X_{i}(i=1,\ldots ,d)\) are independent but distributed differently. Under certain conditions, we not only give the Hausdorff dimension of the graph sets of X in the asymmetric metric in the recurrent case, but also determine the exact Hausdorff measure functions of the graph sets of X in the transient and recurrent cases, respectively. Moreover, we establish a uniform Hausdorff dimension result for the image sets of X. Our results extend the corresponding results on fractional Brownian motion and space or time anisotropic Gaussian random fields.
期刊介绍:
Journal of Theoretical Probability publishes high-quality, original papers in all areas of probability theory, including probability on semigroups, groups, vector spaces, other abstract structures, and random matrices. This multidisciplinary quarterly provides mathematicians and researchers in physics, engineering, statistics, financial mathematics, and computer science with a peer-reviewed forum for the exchange of vital ideas in the field of theoretical probability.