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Sharp Convergence of Nonlinear Functionals of a Class of Gaussian Random Fields
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 a...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404850/ https://www.ncbi.nlm.nih.gov/pubmed/30931237 http://dx.doi.org/10.1007/s40304-018-0162-9 |
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author | Xu, Weijun |
author_facet | Xu, Weijun |
author_sort | Xu, Weijun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6404850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-64048502019-03-27 Sharp Convergence of Nonlinear Functionals of a Class of Gaussian Random Fields Xu, Weijun Commun Math Stat Article 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. Springer Berlin Heidelberg 2018-11-10 2018 /pmc/articles/PMC6404850/ /pubmed/30931237 http://dx.doi.org/10.1007/s40304-018-0162-9 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Xu, Weijun Sharp Convergence of Nonlinear Functionals of a Class of Gaussian Random Fields |
title | Sharp Convergence of Nonlinear Functionals of a Class of Gaussian Random Fields |
title_full | Sharp Convergence of Nonlinear Functionals of a Class of Gaussian Random Fields |
title_fullStr | Sharp Convergence of Nonlinear Functionals of a Class of Gaussian Random Fields |
title_full_unstemmed | Sharp Convergence of Nonlinear Functionals of a Class of Gaussian Random Fields |
title_short | Sharp Convergence of Nonlinear Functionals of a Class of Gaussian Random Fields |
title_sort | sharp convergence of nonlinear functionals of a class of gaussian random fields |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404850/ https://www.ncbi.nlm.nih.gov/pubmed/30931237 http://dx.doi.org/10.1007/s40304-018-0162-9 |
work_keys_str_mv | AT xuweijun sharpconvergenceofnonlinearfunctionalsofaclassofgaussianrandomfields |