Ewing, Richard E.; Liu, Michael M.; Wang, Junping Superconvergence of mixed finite element approximations over quadrilaterals. (English) Zbl 0926.65107 SIAM J. Numer. Anal. 36, No. 3, 772-787 (1998). The objective of the paper is to investigate superconvergence phenomena for the approximate solution of second-order elliptic differential equations discretized by mixed finite element methods. The authors attention is focused on partitions of the space domain into convex quadrilaterals. The quadrilaterals elements are constructed by using local mapping techniques for any stable rectangular space such as Raviart-Thomas, Brezzi-Douglas-Fortin-Marini, etc.A superconvergence result is established. The superconvergence indicates an accuracy of \(O(h^{k+2})\) for the mixed finite element approximation if the Raviart-Thomas or Brezzi-Douglas-Fortin-Marini elements of order \(k\) are employed with an optimal error estimate of \(O(h^{k+1})\). A part of the paper consists of a review of the construction of mixed elements over quadrilaterals as well as a general framework for the convergence and superconvergence analysis in mixed methods combined with some details. Numerical experiments are presented in order to illustrate the theoretical result.The paper is interesting for numerical mathematicians dealing with mixed finite element methods and mainly for these of them dealing with mathematical modelling of fluid flow in porous media since the modelling process requires the determination of a very accurate fluid velocity. Reviewer: K.Georgiev (Sofia) Cited in 43 Documents MSC: 65N12 Stability and convergence of numerical methods for boundary value problems involving PDEs 35J25 Boundary value problems for second-order elliptic equations 65N30 Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs 65N55 Multigrid methods; domain decomposition for boundary value problems involving PDEs 65N15 Error bounds for boundary value problems involving PDEs Keywords:domain decomposition; mixed finite element methods; convergence analysis; superconvergence; error estimate; numerical experiments; fluid flow in porous media PDFBibTeX XMLCite \textit{R. E. Ewing} et al., SIAM J. Numer. Anal. 36, No. 3, 772--787 (1998; Zbl 0926.65107) Full Text: DOI