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Abstract

It is well-known that numerically approximating calculus of variations problems possessing a Lavrentiev Gap Phenomenon (LGP) is challenging, and the standard numerical methodologies such as finite element, finite difference, and discontinuous Galerkin methods fail to give convergent methods because they cannot overcome the gap. This paper is a continuation of a 2018 paper by Feng-Schnake, where a promising enhanced finite element method was proposed to overcome the LGP in the classical Manià's problem. The goal of this paper is to provide a complete \(\Gamma\)-convergence proof for this enhanced finite element method, hence establishing a theoretical foundation for the method. The crux of the convergence analysis is the construction of a new finite element interpolant that helps to build a recovery sequence for proving a \(\Gamma\)-convergence result due to its strong approximation properties in Sobolev spaces. Numerical tests are also provided to verify the theoretical results.

Details

1009240
Identifier / keyword
Title
\(\Gamma\)-convergence of an Enhanced Finite Element Method for Manià's Problem Exhibiting the Lavrentiev Gap Phenomenon
Publication title
arXiv.org; Ithaca
Publication year
2024
Publication date
Dec 9, 2024
Section
Computer Science; Mathematics
Publisher
Cornell University Library, arXiv.org
Source
arXiv.org
Place of publication
Ithaca
Country of publication
United States
University/institution
Cornell University Library arXiv.org
e-ISSN
2331-8422
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Online publication date
2024-12-17
Milestone dates
2024-10-09 (Submission v1); 2024-12-09 (Submission v2)
Publication history
 
 
   First posting date
17 Dec 2024
ProQuest document ID
3115223491
Document URL
https://www.proquest.com/working-papers/gamma-convergence-enhanced-finite-element-method/docview/3115223491/se-2?accountid=208611
Full text outside of ProQuest
Copyright
© 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-12-18
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic