Stable localized orthogonal decomposition in Raviart–Thomas spaces
Abstract
Abstract This work proposes a computational multiscale method for the mixed formulation of a second-order linear elliptic equation subject to a homogeneous Neumann boundary condition, based on a stable localized orthogonal decomposition (LOD) in Raviart–Thomas finite element spaces. In the spirit of numerical homogenization the construction provides low-dimensional coarse approximation spaces that incorporate fine-scale information from the heterogeneous coefficients by solving local patch problems on a fine mesh. The resulting numerical scheme is accompanied by a rigorous error analysis, and it is applicable beyond periodicity and scale-separation in spatial dimensions two and three. In particular, this novel realization circumvents the presence of pollution terms observed in a previous LOD construction for elliptic problems in mixed formulation. Finally, various numerical experiments are provided that demonstrate the performance of the method.
Fields of Study & Subjects
Advanced Mathematical Modeling in Engineering
Advanced Numerical Methods in Computational Mathematics
Model Reduction and Neural Networks
Publication details
- Journal / source
- IMA Journal of Numerical Analysis
- Publication date
- 15 April 2026
- Language
- EN