An Absolutely Stabilized Virtual Element Method for the Incompressible Stokes Equations

In this paper, we propose an absolutely stabilized mixed virtual element method (mixed VEM) for the incompressible Stokes equations. We employ the $C^0$-conforming virtual element space for the velocity and discontinuous polynomial space for the pressure. The velocity-pressure pair contains "arbitrary-order" polynomials, and stability is guaranteed by the "absolutely stabilized finite element formulation" originally introduced in [21]. We establish error estimates in the energy norm for both velocity and pressure, as well as an $L^2$-error estimate for the velocity. Several numerical experiments validate the theoretical analysis.

Authors

Publication Details

Journal
Advances in Applied Mathematics and Mechanics
Published
2025-09-25
DOI
https://doi.org/10.4208/aamm.oa-2023-0281
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

An Absolutely Stabilized Virtual Element Method for the Incompressible Stokes Equations

Xiaowei Feng
Advances in Applied Mathematics and Mechanics
Advanced Numerical Methods in Computational Mathematics
article

An Absolutely Stabilized Virtual Element Method for the Incompressible Stokes Equations

Xiaowei Feng
article en

Abstract

In this paper, we propose an absolutely stabilized mixed virtual element method (mixed VEM) for the incompressible Stokes equations. We employ the $C^0$-conforming virtual element space for the velocity and discontinuous polynomial space for the pressure. The velocity-pressure pair contains "arbitrary-order" polynomials, and stability is guaranteed by the "absolutely stabilized finite element formulation" originally introduced in [21]. We establish error estimates in the energy norm for both velocity and pressure, as well as an $L^2$-error estimate for the velocity. Several numerical experiments validate the theoretical analysis.

Advances in Applied Mathematics and MechanicsVol. 17(6)
Openalex Percentile: Top 72%
Advanced Numerical Methods in Computational Mathematics
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