Numerical Approximation of Gaussian random fields on Closed Surfaces

Fuente: arXiv
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Hauptverfasser: Bonito, Andrea, Guignard, Diane, Lei, Wenyu
Format: Preprint
Veröffentlicht: 2022
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author Bonito, Andrea
Guignard, Diane
Lei, Wenyu
author_facet Bonito, Andrea
Guignard, Diane
Lei, Wenyu
contents We consider the numerical approximation of Gaussian random fields on closed surfaces defined as the solution to a fractional stochastic partial differential equation (SPDE) with additive white noise. The SPDE involves two parameters controlling the smoothness and the correlation length of the Gaussian random field. The proposed numerical method relies on the Balakrishnan integral representation of the solution and does not require the approximation of eigenpairs. Rather, it consists of a sinc quadrature coupled with a standard surface finite element method. We provide a complete error analysis of the method and illustrate its performances by several numerical experiments.
format Preprint
id arxiv_https___arxiv_org_abs_2211_13739
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Numerical Approximation of Gaussian random fields on Closed Surfaces
Bonito, Andrea
Guignard, Diane
Lei, Wenyu
Numerical Analysis
65M12, 65M15, 65M60, 35S11, 65R20
We consider the numerical approximation of Gaussian random fields on closed surfaces defined as the solution to a fractional stochastic partial differential equation (SPDE) with additive white noise. The SPDE involves two parameters controlling the smoothness and the correlation length of the Gaussian random field. The proposed numerical method relies on the Balakrishnan integral representation of the solution and does not require the approximation of eigenpairs. Rather, it consists of a sinc quadrature coupled with a standard surface finite element method. We provide a complete error analysis of the method and illustrate its performances by several numerical experiments.
title Numerical Approximation of Gaussian random fields on Closed Surfaces
topic Numerical Analysis
65M12, 65M15, 65M60, 35S11, 65R20
url https://arxiv.org/abs/2211.13739