A posteriori error bounds for finite element approximations of steady-state mean field games

Fuente: arXiv
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Main Authors: Osborne, Yohance A. P., Smears, Iain, Wells, Harry
Format: Preprint
Published: 2025
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author Osborne, Yohance A. P.
Smears, Iain
Wells, Harry
author_facet Osborne, Yohance A. P.
Smears, Iain
Wells, Harry
contents We analyze a posteriori error bounds for stabilized finite element discretizations of second-order steady-state mean field games. We prove the local equivalence between the $H^1$-norm of the error and the dual norm of the residual. We then derive reliable and efficient estimators for a broad class of stabilized first-order finite element methods. We also show that in the case of affine-preserving stabilizations, the estimator can be further simplified to the standard residual estimator. Numerical experiments illustrate the computational gains in efficiency and accuracy from the estimators in the context of adaptive methods.
format Preprint
id arxiv_https___arxiv_org_abs_2502_14687
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A posteriori error bounds for finite element approximations of steady-state mean field games
Osborne, Yohance A. P.
Smears, Iain
Wells, Harry
Numerical Analysis
We analyze a posteriori error bounds for stabilized finite element discretizations of second-order steady-state mean field games. We prove the local equivalence between the $H^1$-norm of the error and the dual norm of the residual. We then derive reliable and efficient estimators for a broad class of stabilized first-order finite element methods. We also show that in the case of affine-preserving stabilizations, the estimator can be further simplified to the standard residual estimator. Numerical experiments illustrate the computational gains in efficiency and accuracy from the estimators in the context of adaptive methods.
title A posteriori error bounds for finite element approximations of steady-state mean field games
topic Numerical Analysis
url https://arxiv.org/abs/2502.14687