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Non-negative mixed finite element formulations for a tensorial diffusion equation
Authors:K.B. Nakshatrala  A.J. Valocchi
Affiliation:1. Department of Mechanical Engineering, 216 Engineering/Physics Building, Texas A&M University, College Station, Texas 77843, United States;2. Department of Civil and Environmental Engineering, 1110 Newmark Laboratory, University of Illinois at Urbana-Champaign, Illinois 61801, United States
Abstract:We consider the tensorial diffusion equation, and address the discrete maximum–minimum principle of mixed finite element formulations. In particular, we address non-negative solutions (which is a special case of the maximum–minimum principle) of mixed finite element formulations. It is well-known that the classical finite element formulations (like the single-field Galerkin formulation, and Raviart–Thomas, variational multiscale, and Galerkin/least-squares mixed formulations) do not produce non-negative solutions (that is, they do not satisfy the discrete maximum–minimum principle) on arbitrary meshes and for strongly anisotropic diffusivity coefficients.
Keywords:Maximum&ndash  minimum principles for elliptic PDEs   Discrete maximum&ndash  minimum principle   Non-negative solutions   Active set strategy   Convex quadratic programming   Tensorial diffusion equation   Monotone methods
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