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We develop multiscale mortar mixed finite element discretizations for second order elliptic equations. The continuity of flux is imposed via a mortar finite element space on a coarse grid scale, while the equations in the coarse elements (or subdomains) are discretized on a fine grid scale. The polynomial degree of the mortar and subdomain approximation spaces may differ; in fact, the mortar space achieves approximation comparable to the fine scale on its coarse grid by using higher order polynomials. Our formulation is related to, but more flexible than, existing multiscale finite element and variational multiscale methods. We derive a priori error estimates and show, with appropriate choice of the mortar space, optimal order convergence and some superconvergence on the fine scale for both the solution and its flux. We also derive efficient and reliable a posteriori error estimators, which are used in an adaptive mesh refinement algorithm to obtain appropriate subdomain and mortar grids. Numerical experiments are presented in confirmation of the theory.
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Todd Arbogast
The University of Texas at Austin
Gergina Pencheva
University of Pittsburgh
Mary F. Wheeler
The University of Texas at Austin
Multiscale Modeling and Simulation
University of Pittsburgh
The University of Texas at Austin
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Arbogast et al. (Mon,) studied this question.
synapsesocial.com/papers/69d9553600ab073a2783624a — DOI: https://doi.org/10.1137/060662587
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