IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-75802-7_9.html
   My bibliography  Save this book chapter

Constructions of Bounded Solutions of $$ \textit{di}\upsilon $$ u = f in Critical Spaces

In: Multiscale, Nonlinear and Adaptive Approximation II

Author

Listed:
  • Albert Cohen

    (UPMC Univ Paris 06,UMR7598, Laboratoire Jacques-Louis Lions)

  • Ronald DeVore

    (Texas A&M University, Department of Mathematics)

  • Eitan Tadmor

    (University of Maryland, Department of Mathematics, Institute for Physical sciences and Technology (IPST))

Abstract

We construct uniformly bounded solutions of the equation $$ \textit{di}\upsilon $$ u = f for arbitrary data f in the critical spaces $$ \textit{L}^{d}(\Omega) $$ , where Ω is a domain of $$ \mathbb{R}^{\textit{d}} $$ . This question was addressed by Bourgain & Brezis, [BB2003], who proved that although the problem has a uniformly bounded solution, it is critical in the sense that there exists no linear solution operator for general $$ \textit{L}^{d} $$ -data. We first discuss the validity of this existence result under weaker conditions than $$ \textit{f } \epsilon \textit{L}^{\textit{d}} $$ , and then focus our work on constructive processes for such uniformly bounded solutions. In the d = 2 case, we present a direct one-step explicit construction, which generalizes for d > 2 to a (d − 1)-step construction based on induction. An explicit construction is also proposed for compactly supported data in $$ \textit{L}^{\textit{d},\infty} $$ . We finally present constructive approaches based on optimization of a certain loss functional adapted to the problem. This approach provides a two-step construction in the d = 2 case. This optimization is used as the building block of a hierarchical multistep process introduced in [Tad2014] that converges to a solution in more general situations.

Suggested Citation

  • Albert Cohen & Ronald DeVore & Eitan Tadmor, 2024. "Constructions of Bounded Solutions of $$ \textit{di}\upsilon $$ u = f in Critical Spaces," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 177-200, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-75802-7_9
    DOI: 10.1007/978-3-031-75802-7_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-031-75802-7_9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.