A priori error analysis of the proximal Galerkin method
Numerical Analysis
2026-02-09 v3 Numerical Analysis
Abstract
The proximal Galerkin (PG) method is a finite element method for solving variational problems with inequality constraints. It has several advantages, including constraint-preserving approximations and mesh independence. This paper presents the first abstract a priori error analysis of PG methods, providing a general framework to establish convergence and error estimates. As applications of the framework, we demonstrate optimal convergence rates for both the obstacle and Signorini problems using various finite element subspaces.
Keywords
Cite
@article{arxiv.2507.13516,
title = {A priori error analysis of the proximal Galerkin method},
author = {Brendan Keith and Rami Masri and Marius Zeinhofer},
journal= {arXiv preprint arXiv:2507.13516},
year = {2026}
}