Elliptic PDEs on log-Gaussian Shapes: Sparsity and Finite Element Discretization

Fuente: arXiv
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Autori principali: Dũng, Dinh, Harbrecht, Helmut, Nguyen, Van Kien, Schwab, Christoph
Natura: Preprint
Pubblicazione: 2026
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author Dũng, Dinh
Harbrecht, Helmut
Nguyen, Van Kien
Schwab, Christoph
author_facet Dũng, Dinh
Harbrecht, Helmut
Nguyen, Van Kien
Schwab, Christoph
contents In this article, we consider the solution to elliptic diffusion problems on a class of random domains obtained by log-Gaussian random homothety of the unit disk respectively an annulus. We model the problem under consideration and verify the existence and uniqueness of the random solution by path-wise pullback to the nominal unit disk respectively annulus. We prove the analytic regularity of the solution with respect to the random input parameter. We consider the numerical approximation of the random diffusion problem by means of continuous, piecewise linear Lagrangian Galerkin Finite Elements with numerical quadrature in the nominal domain, and by sparse grid interpolation and quadrature of Gauss-Hermite Smolyak and Quasi-Monte Carlo type in the parameter domain. The theoretical findings are complemented by numerical results.
format Preprint
id arxiv_https___arxiv_org_abs_2603_24056
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Elliptic PDEs on log-Gaussian Shapes: Sparsity and Finite Element Discretization
Dũng, Dinh
Harbrecht, Helmut
Nguyen, Van Kien
Schwab, Christoph
Numerical Analysis
Probability
35R60
In this article, we consider the solution to elliptic diffusion problems on a class of random domains obtained by log-Gaussian random homothety of the unit disk respectively an annulus. We model the problem under consideration and verify the existence and uniqueness of the random solution by path-wise pullback to the nominal unit disk respectively annulus. We prove the analytic regularity of the solution with respect to the random input parameter. We consider the numerical approximation of the random diffusion problem by means of continuous, piecewise linear Lagrangian Galerkin Finite Elements with numerical quadrature in the nominal domain, and by sparse grid interpolation and quadrature of Gauss-Hermite Smolyak and Quasi-Monte Carlo type in the parameter domain. The theoretical findings are complemented by numerical results.
title Elliptic PDEs on log-Gaussian Shapes: Sparsity and Finite Element Discretization
topic Numerical Analysis
Probability
35R60
url https://arxiv.org/abs/2603.24056