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    A Posteriori Error Analysis for Evolution Nonlinear Schrödinger Equations up to the Critical Exponent

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    Type
    Article
    Authors
    Katsaounis, Theodoros cc
    Kyza, Irene
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2018-05-17
    Online Publication Date
    2018-05-17
    Print Publication Date
    2018-01
    Permanent link to this record
    http://hdl.handle.net/10754/628360
    
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    Abstract
    We provide a posteriori error estimates in the L([0, T]; L(?))-norm for relaxation time discrete and fully discrete schemes for a class of evolution nonlinear Schrödinger equations up to the critical exponent. In particular for the discretization in time we use the relaxation Crank–Nicolson-type scheme introduced by Besse in [SIAM J. Numer. Anal., 42 (2004), pp. 934–952]. The space discretization consists of finite element spaces that are allowed to change between time steps. The estimates are obtained using the reconstruction technique. Through this technique the problem is converted to a perturbation of the original partial differential equation and this makes it possible to use nonlinear stability arguments as in the continuous problem. Our analysis includes as special cases the cubic and quintic nonlinear Schrödinger equations in one spatial dimension and the cubic nonlinear Schrödinger equation in two spatial dimensions. Numerical results illustrate that the estimates are indeed of optimal order of convergence.
    Citation
    Katsaounis T, Kyza I (2018) A Posteriori Error Analysis for Evolution Nonlinear Schrödinger Equations up to the Critical Exponent. SIAM Journal on Numerical Analysis 56: 1405–1434. Available: http://dx.doi.org/10.1137/16M1108029.
    Sponsors
    The work of the authors was partially supported by Excellence Award 1456 of the Greek Ministry of Research and Education. The second author is grateful to Prof. Charalambos Makridakis for suggesting the problem and for fruitful discussions. The authors would like to thank Prof. Georgios Akrivis and the anonymous reviewers for their valuable comments and suggestions.
    Publisher
    Society for Industrial & Applied Mathematics (SIAM)
    Journal
    SIAM Journal on Numerical Analysis
    DOI
    10.1137/16M1108029
    arXiv
    1601.02430
    Additional Links
    https://epubs.siam.org/doi/10.1137/16M1108029
    ae974a485f413a2113503eed53cd6c53
    10.1137/16M1108029
    Scopus Count
    Collections
    Articles; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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