Surface finite element approximation of parabolic SPDEs with Whittle–Matérn noise
Preprint, 2025

We propose and analyse a new type of fully discrete surface finite element approximation of a class of linear parabolic stochastic evolution equations with additive noise. Our discretization uses a surface finite element approximation of the noise, and is tailored for equations with noise having covariance operator defined by (negative powers of) elliptic operators, like Whittle–Matérn random fields. We derive strong and pathwise convergence rates of our approximation, and verify these by numerical experiments.

Author

Øyvind Stormark Auestad

Norwegian University of Science and Technology (NTNU)

Geir-Arne Fuglstad

Norwegian University of Science and Technology (NTNU)

Annika Lang

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

University of Gothenburg

Efficient approximation methods for random fields on manifolds

Swedish Research Council (VR) (2020-04170), 2021-01-01 -- 2024-12-31.

Time-Evolving Stochastic Manifolds (StochMan)

European Commission (EC) (EC/HE/101088589), 2023-09-01 -- 2028-08-31.

Subject Categories (SSIF 2025)

Probability Theory and Statistics

Computational Mathematics

Roots

Basic sciences

DOI

10.48550/arXiv.2510.08443

More information

Latest update

4/24/2026