Error analysis for a finite element approximation of the steady <i>p</i>·-Navier–Stokes equations

Abstract In this paper, we examine a finite element approximation of the steady $p(\cdot )$-Navier–Stokes equations ($p(\cdot )$ is variable dependent) and prove orders of convergence by assuming natural fractional regularity assumptions on the velocity vector field and the kinematic pressure. Compared to previous results, we treat the convective term and employ a more practicable discretization of the power-law index $p(\cdot )$. Numerical experiments confirm the quasi-optimality of the a priori error estimates (for the velocity) with respect to fractional regularity assumptions on the velocity vector field and the kinematic pressure.

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Publication Details

Journal
IMA Journal of Numerical Analysis
Published
2024-11-25
DOI
https://doi.org/10.1093/imanum/drae082
Citations
1
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.37

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article

Error analysis for a finite element approximation of the steady p·-Navier–Stokes equations

Luigi C. Berselli, Alex Kaltenbach
1 citations
IMA Journal of Numerical Analysis
Advanced Numerical Methods in Computational Mathematics
0.37
article

Error analysis for a finite element approximation of the steady p·-Navier–Stokes equations

Luigi C. Berselli, Alex Kaltenbach
article en
1 citations

Abstract

Abstract In this paper, we examine a finite element approximation of the steady $p(\cdot )$-Navier–Stokes equations ($p(\cdot )$ is variable dependent) and prove orders of convergence by assuming natural fractional regularity assumptions on the velocity vector field and the kinematic pressure. Compared to previous results, we treat the convective term and employ a more practicable discretization of the power-law index $p(\cdot )$. Numerical experiments confirm the quasi-optimality of the a priori error estimates (for the velocity) with respect to fractional regularity assumptions on the velocity vector field and the kinematic pressure.

IMA Journal of Numerical AnalysisVol. 45(5)
University of Pisa (IT), Institute of Mathematics and Informatics (BG), Czech Academy of Sciences, Institute of Mathematics (CZ), Istituto Nazionale di Fisica Nucleare, Sezione di Pisa (IT), Technische Universität Berlin (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 41%
Advanced Numerical Methods in Computational Mathematics
0.37
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