On interpolation spaces of piecewise polynomials on mixed meshes

We consider fractional Sobolev spaces H θ , θ ∈ (0, 1), on 2D domains and H 1 -conforming discretizations by globally continuous piecewise polynomials on a mesh consisting of shape-regular triangles and quadrilaterals. We prove that the norm obtained from interpolating between the discrete space equipped with the L 2 -norm on the one hand and the H 1 -norm on the other hand is equivalent to the corresponding continuous interpolation Sobolev norm, and the norm-equivalence constants are independent of meshsize and polynomial degree. This characterization of the Sobolev norm is then used to show an inverse inequality between H 1 and H θ .

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Publication Details

Journal
ESAIM. Mathematical modelling and numerical analysis
Published
2024-10-22
DOI
https://doi.org/10.1051/m2an/2024069
Citations
1
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

On interpolation spaces of piecewise polynomials on mixed meshes

Michael Karkulik, Alexander Rieder, Jens Markus Melenk
1 citations
ESAIM. Mathematical modelling and numerical analysis
Advanced Numerical Analysis Techniques
article

On interpolation spaces of piecewise polynomials on mixed meshes

Michael Karkulik, Alexander Rieder, Jens Markus Melenk
article en
1 citations

Abstract

We consider fractional Sobolev spaces H θ , θ ∈ (0, 1), on 2D domains and H 1 -conforming discretizations by globally continuous piecewise polynomials on a mesh consisting of shape-regular triangles and quadrilaterals. We prove that the norm obtained from interpolating between the discrete space equipped with the L 2 -norm on the one hand and the H 1 -norm on the other hand is equivalent to the corresponding continuous interpolation Sobolev norm, and the norm-equivalence constants are independent of meshsize and polynomial degree. This characterization of the Sobolev norm is then used to show an inverse inequality between H 1 and H θ .

ESAIM. Mathematical modelling and numerical analysisVol. 59(1)
TU Wien (AT), Federico Santa María Technical University (CL)
Austrian Science Fund, Agencia Nacional de Investigación y Desarrollo
Reduced inequalities
Openalex Percentile: Top 80%
Advanced Numerical Analysis Techniques
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