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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2024 MCQ for Mathematics of Computation is 1.78.

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A posteriori error estimates for the Richards equation
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by K. Mitra and M. Vohralík;
Math. Comp. 93 (2024), 1053-1096
DOI: https://doi.org/10.1090/mcom/3932
Published electronically: February 14, 2024

Abstract:

The Richards equation is commonly used to model the flow of water and air through soil, and it serves as a gateway equation for multiphase flows through porous media. It is a nonlinear advection–reaction–diffusion equation that exhibits both parabolic–hyperbolic and parabolic–elliptic kind of degeneracies. In this study, we provide reliable, fully computable, and locally space–time efficient a posteriori error bounds for numerical approximations of the fully degenerate Richards equation. For showing global reliability, a nonlocal-in-time error estimate is derived individually for the time-integrated $H^1(H^{-1})$, $L^2(L^2)$, and the $L^2(H^1)$ errors. A maximum principle and a degeneracy estimator are employed for the last one. Global and local space–time efficiency error bounds are then obtained in a standard $H^1(H^{-1})\cap L^2(H^1)$ norm. The reliability and efficiency norms employed coincide when there is no nonlinearity. Moreover, error contributors such as space discretization, time discretization, quadrature, linearization, and data oscillation are identified and separated. The estimates are also valid in a setting where iterative linearization with inexact solvers is considered. Numerical tests are conducted for nondegenerate and degenerate cases having exact solutions, as well as for a realistic case and a benchmark case. It is shown that the estimators correctly identify the errors up to a factor of the order of unity.
References
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Bibliographic Information
  • K. Mitra
  • Affiliation: Inria, Paris France; and Cermics, Ecole des Ponts, France
  • Address at time of publication: Eindhoven University of Technology, De Rondom 70, 5612 AP Eindhoven, The Netherlands
  • MR Author ID: 1251845
  • ORCID: 0000-0002-8264-5982
  • Email: k.mitra@tue.nl
  • M. Vohralík
  • Affiliation: Inria, Paris France; and Cermics, Ecole des Ponts, France
  • Address at time of publication: 2 rue Simone Iff, 75589 Paris, France, & 77455 Marne-la-Vallée, France
  • ORCID: 0000-0002-8838-7689
  • Email: martin.vohralik@inria.fr
  • Received by editor(s): August 18, 2021
  • Received by editor(s) in revised form: December 2, 2022, and June 17, 2023
  • Published electronically: February 14, 2024
  • Additional Notes: This project had received funding by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 647134). The first author was supported by FWO (Fonds Wetenschappelijk Onderzoek) through the ‘Junior Postdoctoral Fellowship’ (project code 1209322N)
  • © Copyright 2024 American Mathematical Society
  • Journal: Math. Comp. 93 (2024), 1053-1096
  • MSC (2020): Primary 65M15, 65N50
  • DOI: https://doi.org/10.1090/mcom/3932
  • MathSciNet review: 4709198