We discuss a new approach to obtaining the guaranteed, robust and consistent a posteriori error bounds for approximate solutions of the reaction-diffusion problems, modelled by the equation − Δu + σu = f in Ω, u|∂Ω = 0, with an arbitrary constant or piece wise constant σ ≥ 0. The consistency of a posteriori error bounds for solutions by the finite element methods assumes in this paper that their orders of accuracy in respect to the mesh size h coincide with those in the corresponding sharp a priori bounds. Additionally, it assumes that for such a coincidence it is sufficient that the testing fluxes possess only the standard approximation properties without resorting to the equilibration. Under mild assumptions, with the use of a new technique, it is proved that the coefficient before the L2-norm of the residual type term in the a posteriori error bound is O(h) uniformly for all testing fluxes from admissible set, which is the space H(Ω, div). As a consequence of these facts, there is a wide range of computationally cheap and efficient procedures for evaluating the test fluxes, making the obtained a posteriori error bounds sharp. The technique of obtaining the consistent a posteriori bounds was exposed in [arXiv:1711.02054v1 [math.NA] 6 Nov 2017] and very briefly in [Doklady Mathematics, 96 (1), 2017, 380–383].

Original languageEnglish
Title of host publicationAdvanced Finite Element Methods with Applications - Selected Papers from the 30th Chemnitz Finite Element Symposium 2017
EditorsThomas Apel, Ulrich Langer, Arnd Meyer, Olaf Steinbach
PublisherSpringer Nature
Pages221-245
Number of pages25
ISBN (Print)9783030142438
DOIs
StatePublished - 2019
Event30th Chemnitz Finite Element Symposium, 2017 - St. Wolfgang, Austria
Duration: 25 Sep 201727 Sep 2017

Publication series

NameLecture Notes in Computational Science and Engineering
Volume128
ISSN (Print)1439-7358
ISSN (Electronic)2197-7100

Conference

Conference30th Chemnitz Finite Element Symposium, 2017
Country/TerritoryAustria
CitySt. Wolfgang
Period25/09/1727/09/17

    Scopus subject areas

  • Modelling and Simulation
  • Engineering(all)
  • Discrete Mathematics and Combinatorics
  • Control and Optimization
  • Computational Mathematics

ID: 71957691