The Discrete Raviart-Thomas Mixed Finite Element Method for the $p$-Laplace Equation

The Discrete Raviart-Thomas Mixed Finite Element Method for the $p$-Laplace Equation

Year:    2023

Author:    M.M. Guo, D.J. Liu

International Journal of Numerical Analysis and Modeling, Vol. 20 (2023), Iss. 3 : pp. 313–328

Abstract

We consider the discrete Raviart-Thomas mixed finite element method (dRT-MFEM) for the $p$-Laplace equation in the new sense of measurement. The new measurement of $p$-Laplace equation for $2 ≤ p < ∞$ was studied by D. J. Liu (APPL. NUMER. MATH., 152: 323-337, 2020), where the reliable error analysis for conforming and nonconforming FEM were obtained. This paper provide the reliable and efficient error analysis of dRT-MFEM for $p$-Laplace equation $(1 < p < 2).$ The numerical investigation for benchmark problem demonstrates the accuracy and robustness of the proposed dRT-MFEM.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/ijnam2023-1012

International Journal of Numerical Analysis and Modeling, Vol. 20 (2023), Iss. 3 : pp. 313–328

Published online:    2023-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    16

Keywords:    Adaptive finite element methods discrete Raviart-Thomas mixed finite element method $p$-Laplace equation.

Author Details

M.M. Guo

D.J. Liu