A Multigrid Discretization of Discontinuous Galerkin Method for the Stokes Eigenvalue Problem

A Multigrid Discretization of Discontinuous Galerkin Method for the Stokes Eigenvalue Problem

Year:    2023

Author:    Ling Ling Sun, Hai Bi, Yidu Yang

Communications in Computational Physics, Vol. 34 (2023), Iss. 5 : pp. 1391–1419

Abstract

In this paper, based on the velocity-pressure formulation of the Stokes eigenvalue problem in $d$-dimensional case $(d=2,3),$ we propose a multigrid discretization of discontinuous Galerkin method using $\mathbb{P}_k−\mathbb{P}_{k−1}$ element $(k≥1)$ and prove its a priori error estimate. We also give the a posteriori error estimators for approximate eigenpairs, prove their reliability and efficiency for eigenfunctions, and also analyze their reliability for eigenvalues. We implement adaptive calculation, and the numerical results confirm our theoretical predictions and show that our method is efficient and can achieve the optimal convergence order $\mathcal{O}(do f^{ \frac{−2k}{d}} ).$

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.OA-2023-0027

Communications in Computational Physics, Vol. 34 (2023), Iss. 5 : pp. 1391–1419

Published online:    2023-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    29

Keywords:    Stokes eigenvalue problem discontinuous Galerkin method multigrid discretizations adaptive algorithm.

Author Details

Ling Ling Sun

Hai Bi

Yidu Yang