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

Type: Article

Publication Date: 2018-11-10

Citations: 3

DOI: https://doi.org/10.1007/s40304-018-0162-9

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.

Locations

  • PubMed Central - View
  • Communications in Mathematics and Statistics - View - PDF
  • arXiv (Cornell University) - View - PDF
  • PubMed - View

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