A Posteriori Error Estimator for Elliptic Interface Problems in a Fictitious Domain Formulation

Najwa Alshehri*, Daniele Boffi, Lucia Gastaldi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

An a posteriori error estimator is derived for an elliptic interface problem in the fictitious domain formulation with distributed Lagrange multiplier considering a discontinuous Lagrange multiplier finite element space. A posteriori error estimation plays a pivotal role in assessing the accuracy and reliability of computational solutions across various domains of science and engineering. This study delves into the theoretical underpinnings and computational considerations of a residual-based estimator. Theoretically, the estimator is studied for cases with constant coefficients which jump across an interface as well as generalized scenarios with smooth coefficients that jump across an interface. Theoretical findings demonstrate the reliability and efficiency of the proposed estimators under all considered cases. Numerical experiments are conducted to validate the theoretical results, incorporating various immersed geometries and instances of high coefficients jumps at the interface. Leveraging an adaptive algorithm, the estimator identifies regions with singularities and applies refinement accordingly. Results substantiate the theoretical findings, highlighting the reliability and efficiency of the estimators. Furthermore, numerical solutions exhibit optimal convergence properties, demonstrating resilience against geometric singularities or coefficients jumps.

Original languageEnglish (US)
Article number72
JournalJournal of Scientific Computing
Volume103
Issue number2
DOIs
StatePublished - May 2025

Keywords

  • A posteriori analysis
  • Finite elements method
  • Immersed boundary method
  • Interface elliptic problems
  • Lagrange multiplier
  • Unfitted approach

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Numerical Analysis
  • General Engineering
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics

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