Asymptotically compatible schemes for nonlinear variational models via Gamma-convergence and applications to nonlocal problems

Fuente: arXiv
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Main Authors: Du, Qiang, Scott, James M., Tian, Xiaochuan
Format: Preprint
Published: 2024
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author Du, Qiang
Scott, James M.
Tian, Xiaochuan
author_facet Du, Qiang
Scott, James M.
Tian, Xiaochuan
contents We present a study on asymptotically compatible Galerkin discretizations for a class of parametrized nonlinear variational problems. The abstract analytical framework is based on variational convergence, or Gamma-convergence. We demonstrate the broad applicability of the theoretical framework by developing asymptotically compatible finite element discretizations of some representative nonlinear nonlocal variational problems on a bounded domain. These include nonlocal nonlinear problems with classically-defined, local boundary constraints through heterogeneous localization at the boundary, as well as nonlocal problems posed on parameter-dependent domains.
format Preprint
id arxiv_https___arxiv_org_abs_2402_07749
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Asymptotically compatible schemes for nonlinear variational models via Gamma-convergence and applications to nonlocal problems
Du, Qiang
Scott, James M.
Tian, Xiaochuan
Numerical Analysis
We present a study on asymptotically compatible Galerkin discretizations for a class of parametrized nonlinear variational problems. The abstract analytical framework is based on variational convergence, or Gamma-convergence. We demonstrate the broad applicability of the theoretical framework by developing asymptotically compatible finite element discretizations of some representative nonlinear nonlocal variational problems on a bounded domain. These include nonlocal nonlinear problems with classically-defined, local boundary constraints through heterogeneous localization at the boundary, as well as nonlocal problems posed on parameter-dependent domains.
title Asymptotically compatible schemes for nonlinear variational models via Gamma-convergence and applications to nonlocal problems
topic Numerical Analysis
url https://arxiv.org/abs/2402.07749