Approximation of SPDE covariance operators by finite elements: a semigroup approach

Author:

Kovács Mihály1,Lang Annika2,Petersson Andreas3

Affiliation:

1. Department of Differential Equations, Faculty of Natural Sciences, Budapest University of Technology and Economics , Műegyetem rkp. 3., H-1111 Budapest, Hungary; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, P.O. Box 278, H-1444 Budapest, Hungary; and Department of Mathematical Sciences, Chalmers University of Technology & University of Gothenburg, S–412 96 Göteborg, Sweden

2. Department of Mathematical Sciences, Chalmers University of Technology & University of Gothenburg , S–412 96 Göteborg, Sweden

3. Department of Mathematics, The Faculty of Mathematics and Natural Sciences, University of Oslo , Postboks 1053, Blindern, 0316 Oslo, Norway

Abstract

Abstract The problem of approximating the covariance operator of the mild solution to a linear stochastic partial differential equation is considered. An integral equation involving the semigroup of the mild solution is derived and a general error decomposition is proven. This formula is applied to approximations of the covariance operator of a stochastic advection-diffusion equation and a stochastic wave equation, both on bounded domains. The approximations are based on finite element discretizations in space and rational approximations of the exponential function in time. Convergence rates are derived in the trace class and Hilbert–Schmidt norms with numerical simulations illustrating the results.

Funder

Marsden Fund of the Royal Society of New Zealand

Swedish Research Council

National Research, Development, and Innovation Fund of Hungary

Wallenberg AI, Autonomous Systems and Software Program

Chalmers AI Research Centre

Research Council of Norway

Knut and Alice Wallenberg foundation

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Computational Mathematics,General Mathematics

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