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    Convergence Rates of AFEM with H −1 Data

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    Type
    Article
    Authors
    Cohen, Albert
    DeVore, Ronald
    Nochetto, Ricardo H.
    KAUST Grant Number
    KUS-C1-016-04
    Date
    2012-06-29
    Online Publication Date
    2012-06-29
    Print Publication Date
    2012-10
    Permanent link to this record
    http://hdl.handle.net/10754/597875
    
    Metadata
    Show full item record
    Abstract
    This paper studies adaptive finite element methods (AFEMs), based on piecewise linear elements and newest vertex bisection, for solving second order elliptic equations with piecewise constant coefficients on a polygonal domain Ω⊂ℝ2. The main contribution is to build algorithms that hold for a general right-hand side f∈H-1(Ω). Prior work assumes almost exclusively that f∈L2(Ω). New data indicators based on local H-1 norms are introduced, and then the AFEMs are based on a standard bulk chasing strategy (or Dörfler marking) combined with a procedure that adapts the mesh to reduce these new indicators. An analysis of our AFEM is given which establishes a contraction property and optimal convergence rates N-s with 0<s≤1/2. In contrast to previous work, it is shown that it is not necessary to assume a compatible decay s<1/2 of the data estimator, but rather that this is automatically guaranteed by the approximability assumptions on the solution by adaptive meshes, without further assumptions on f; the borderline case s=1/2 yields an additional factor logN. Computable surrogates for the data indicators are introduced and shown to also yield optimal convergence rates N-s with s≤1/2. © 2012 SFoCM.
    Citation
    Cohen A, DeVore R, Nochetto RH (2012) Convergence Rates of AFEM with H −1 Data. Foundations of Computational Mathematics 12: 671–718. Available: http://dx.doi.org/10.1007/s10208-012-9120-1.
    Sponsors
    This research was supported by the Office of Naval Research Contracts ONR-N00014-08-1-1113, ONR N00014-09-1-0107; the AFOSR Contract FA95500910500; the ARO/DoD Contract W911NF-07-1-0185; the NSF Grants DMS-0915231, DMS-0807811, and DMS-1109325; the Agence Nationale de la Recherche (ANR) project ECHANGE (ANR-08-EMER-006); the excellence chair of the Fondation "Sciences Mathematiques de Paris" held by Ronald DeVore. This publication is based on work supported by Award No. KUS-C1-016-04, made by King Abdullah University of Science and Technology (KAUST).
    Publisher
    Springer Nature
    Journal
    Foundations of Computational Mathematics
    DOI
    10.1007/s10208-012-9120-1
    ae974a485f413a2113503eed53cd6c53
    10.1007/s10208-012-9120-1
    Scopus Count
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