Discrete energy laws for the first-order system least-squares finite-element approach

J. H. Adler, I. Lashuk, S. P. MacLachlan, L. T. Zikatanov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper analyzes the discrete energy laws associated with first-order system least-squares (FOSLS) discretizations of time-dependent partial differential equations. Using the heat equation and the time-dependent Stokes’ equation as examples, we discuss how accurately a FOSLS finite-element formulation adheres to the underlying energy law associated with the physical system. Using regularity arguments involving the initial condition of the system, we are able to give bounds on the convergence of the discrete energy law to its expected value (zero in the examples presented here). Numerical experiments are performed, showing that the discrete energy laws hold with order O(h2 p), where h is the mesh spacing and p is the order of the finite-element space. Thus, the energy law conformance is held with a higher order than the expected, O(hp), convergence of the finite-element approximation. Finally, we introduce an abstract framework for analyzing the energy laws of general FOSLS discretizations.

Original languageEnglish (US)
Title of host publicationLarge-Scale Scientific Computing - 11th International Conference, LSSC 2017, Revised Selected Papers
EditorsIvan Lirkov, Svetozar Margenov
PublisherSpringer Verlag
Pages3-20
Number of pages18
ISBN (Print)9783319734408
DOIs
StatePublished - 2018
Event11th International Conference on Large-Scale Scientific Computations, LSSC 2017 - Sozopol, Bulgaria
Duration: Sep 11 2017Sep 15 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10665 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th International Conference on Large-Scale Scientific Computations, LSSC 2017
Country/TerritoryBulgaria
CitySozopol
Period9/11/179/15/17

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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