{"title":"时空各向异性高斯随机场的豪斯多夫量和均匀维度","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":"{\"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}","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
摘要
让(X={ X(t), t\in \mathbb {R}^{N}\}\)是在\(\mathbb {R}^{D\) 中具有静态增量的居中时空各向异性高斯随机场,其中各分量\(X_{i}(i=1,\ldots ,d)\)是独立的,但分布不同。在一定条件下,我们不仅给出了非对称度量下 X 的图集在经常性情况下的 Hausdorff 维度,还分别确定了 X 的图集在瞬态和经常性情况下的精确 Hausdorff 度量函数。我们的结果扩展了分数布朗运动和空间或时间各向异性高斯随机场的相应结果。
Hausdorff Measure and Uniform Dimension for Space-Time Anisotropic Gaussian Random Fields
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.