A space-time multiscale method for parabolic problems
Journal article, 2022

We present a space-time multiscale method for a parabolic model problem with an underlying coefficient that may be highly oscillatory with respect to both the spatial and the temporal variables. The method is based on the framework of the Variational Multiscale Method in the context of a space-time formulation and computes a coarse-scale representation of the differential operator that is enriched by auxiliary space-time corrector functions. Once computed, the coarse-scale representation allows us to efficiently obtain well-approximating discrete solutions for multiple right-hand sides. We prove first-order convergence independently of the oscillation scales in the coefficient and illustrate how the space-time correctors decay exponentially in both space and time, making it possible to localize the corresponding computations. This localization allows us to define a practical and computationally efficient method in terms of complexity and memory, for which we provide a posteriori error estimates and present numerical examples.

numerical homogenization

multiscale method

space-time method

parabolic problem

Author

Per Ljung

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Roland Maier

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Axel Målqvist

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Multiscale Modeling and Simulation

1540-3459 (ISSN) 15403467 (eISSN)

Vol. 20 2 714-740

Subject Categories

Computational Mathematics

DOI

10.1137/21M1446605

More information

Latest update

8/15/2022