Sharp Convergence of Nonlinear Functionals of a Class of Gaussian Random Fields.

IF 1.1 4区 数学 Q1 MATHEMATICS Communications in Mathematics and Statistics Pub Date : 2018-01-01 Epub Date: 2018-11-10 DOI:10.1007/s40304-018-0162-9
Weijun Xu
{"title":"Sharp Convergence of Nonlinear Functionals of a Class of Gaussian Random Fields.","authors":"Weijun Xu","doi":"10.1007/s40304-018-0162-9","DOIUrl":null,"url":null,"abstract":"<p><p>We present a self-contained proof of a uniform bound on multi-point correlations of trigonometric functions of a class of Gaussian random fields. It corresponds to a special case of the general situation considered in Hairer and Xu (large-scale limit of interface fluctuation models. ArXiv e-prints arXiv:1802.08192, 2018), but with improved estimates. As a consequence, we establish convergence of a class of Gaussian fields composite with more general functions. These bounds and convergences are useful ingredients to establish weak universalities of several singular stochastic PDEs.</p>","PeriodicalId":10575,"journal":{"name":"Communications in Mathematics and Statistics","volume":"6 4","pages":"509-532"},"PeriodicalIF":1.1000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40304-018-0162-9","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Mathematics and Statistics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s40304-018-0162-9","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2018/11/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 4

Abstract

We present a self-contained proof of a uniform bound on multi-point correlations of trigonometric functions of a class of Gaussian random fields. It corresponds to a special case of the general situation considered in Hairer and Xu (large-scale limit of interface fluctuation models. ArXiv e-prints arXiv:1802.08192, 2018), but with improved estimates. As a consequence, we establish convergence of a class of Gaussian fields composite with more general functions. These bounds and convergences are useful ingredients to establish weak universalities of several singular stochastic PDEs.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一类高斯随机场非线性泛函的急剧收敛性。
给出了一类高斯随机场的三角函数多点相关的一致界的自包含证明。它对应于Hairer和Xu(界面波动模型的大尺度极限)所考虑的一般情况的一个特例。ArXiv电子打印ArXiv:1802.08192, 2018),但改进了估计。因此,我们建立了一类与更一般函数复合的高斯场的收敛性。这些界和收敛性是建立几个奇异随机偏微分方程的弱普适性的有用成分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Communications in Mathematics and Statistics
Communications in Mathematics and Statistics Mathematics-Statistics and Probability
CiteScore
1.80
自引率
0.00%
发文量
36
期刊介绍: Communications in Mathematics and Statistics is an international journal published by Springer-Verlag in collaboration with the School of Mathematical Sciences, University of Science and Technology of China (USTC). The journal will be committed to publish high level original peer reviewed research papers in various areas of mathematical sciences, including pure mathematics, applied mathematics, computational mathematics, and probability and statistics. Typically one volume is published each year, and each volume consists of four issues.
期刊最新文献
Inference for Partially Linear Quantile Regression Models in Ultrahigh Dimension Stopping Levels for a Spectrally Negative Markov Additive Process Characterization of Graphs with Some Normalized Laplacian Eigenvalue Having Multiplicity $$n{-}4$$ Three Favorite Edges Occurs Infinitely Often for One-Dimensional Simple Random Walk Equivalence Assessment via the Difference Between Two AUCs in a Matched-Pair Design with Nonignorable Missing Endpoints
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1