Pointwise gradient estimate of the ritz projection
Lars Diening, Julian Rolfes, Abner J. Salgado

TL;DR
This paper establishes a pointwise gradient estimate for the Ritz projection in convex polytopes, linking the gradient to the Hardy--Littlewood maximal function, which ensures stability across various function spaces.
Contribution
It provides a novel pointwise gradient estimate for the Ritz projection on convex polytopes, extending stability results to weighted, Orlicz, and Lorentz spaces.
Findings
Gradient at any point controlled by Hardy--Littlewood maximal function
Stability of Ritz projection in diverse function spaces
Applicable to finite element spaces on quasiuniform triangulations
Abstract
Let be a convex polytope (). The Ritz projection is the best approximation, in the -norm, to a given function in a finite element space. When such finite element spaces are constructed on the basis of quasiuniform triangulations, we show a pointwise estimate on the Ritz projection. Namely, that the gradient at any point in is controlled by the Hardy--Littlewood maximal function of the gradient of the original function at the same point. From this estimate, the stability of the Ritz projection on a wide range of spaces that are of interest in the analysis of PDEs immediately follows. Among those are weighted spaces, Orlicz spaces and Lorentz spaces.
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Taxonomy
TopicsAdvanced Numerical Analysis Techniques · Advanced Numerical Methods in Computational Mathematics · Geometric Analysis and Curvature Flows
