TY - JOUR
T1 - Convergence and Optimality of Adaptive Mixed Methods for Poisson's Equation in the FEEC Framework
AU - Holst , Michael
AU - Li , Yuwen
AU - Mihalik , Adam
AU - Szypowski , Ryan
JO - Journal of Computational Mathematics
VL - 5
SP - 748
EP - 767
PY - 2020
DA - 2020/04
SN - 38
DO - http://doi.org/10.4208/jcm.1905-m2018-0265
UR - https://global-sci.org/intro/article_detail/jcm/16668.html
KW - Finite element exterior calculus, Adaptive finite element methods, A posteriori error estimates, Convergence, Quasi-optimality.
AB - <p style="text-align: justify;">Finite Element Exterior Calculus (FEEC) was developed by Arnold, Falk, Winther and others over the last decade to exploit the observation that mixed variational problems can be posed on a Hilbert complex, and Galerkin-type mixed methods can then be obtained by solving finite-dimensional subcomplex problems. Chen, Holst, and Xu (Math. Comp. 78 (2009) 35-53) established convergence and optimality of an adaptive mixed finite element method using Raviart-Thomas or Brezzi-Douglas-Marini elements for Poisson&#39;s equation on contractible domains in $\mathbb{R}^2$, which can be viewed as a boundary problem on the de Rham complex. Recently Demlow and Hirani (Found. Math. Comput. 14 (2014) 1337-1371) developed fundamental tools for a posteriori analysis on the de Rham complex. In this paper, we use tools in FEEC to construct convergence and complexity results on domains with general topology and spatial dimension. In particular, we construct a reliable and efficient error estimator and a sharper quasi-orthogonality result using a novel technique. Without marking for data oscillation, our adaptive method is a contraction with respect to a total error incorporating the error estimator and data oscillation.</p>