Lowest order stabilization free virtual element method for the 2D Poisson equation

We analyze the first order Enlarged Enhancement Virtual Element Method (E 2 VEM) for the Poisson problem. The method allows the definition of bilinear forms that do not require a stabilization term, thanks to the exploitation of higher order polynomial projections that are made computable by suitably enlarging the enhancement property (from which comes the prefix E 2 ) of local virtual spaces. We provide a sufficient condition for the well-posedness and optimal order a priori error estimates. We present numerical tests on convex and non-convex polygonal meshes that confirm the robustness of the method and the theoretical convergence rates.

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Publication Details

Journal
Computers & Mathematics with Applications
Published
2024-11-19
DOI
https://doi.org/10.1016/j.camwa.2024.11.017
Citations
8
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
3.00

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article

Lowest order stabilization free virtual element method for the 2D Poisson equation

Francesca Marcon, Andrea Borio, Stefano Berrone
8 citations
Computers & Mathematics with Applications
Advanced Numerical Methods in Computational Mathematics
3.00
article

Lowest order stabilization free virtual element method for the 2D Poisson equation

Francesca Marcon, Andrea Borio, Stefano Berrone
article en
8 citations

Abstract

We analyze the first order Enlarged Enhancement Virtual Element Method (E 2 VEM) for the Poisson problem. The method allows the definition of bilinear forms that do not require a stabilization term, thanks to the exploitation of higher order polynomial projections that are made computable by suitably enlarging the enhancement property (from which comes the prefix E 2 ) of local virtual spaces. We provide a sufficient condition for the well-posedness and optimal order a priori error estimates. We present numerical tests on convex and non-convex polygonal meshes that confirm the robustness of the method and the theoretical convergence rates.

Computers & Mathematics with ApplicationsVol. 177
Politecnico di Torino (IT)
European Commission, Ministero dell’Istruzione, dell’Università e della Ricerca, Ministero dell'Università e della Ricerca, Gruppo Nazionale per il Calcolo Scientifico
Openalex Percentile: Top 8%
Advanced Numerical Methods in Computational Mathematics
3.00
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