IDEAS home Printed from https://ideas.repec.org/a/spr/joptap/v154y2012i3d10.1007_s10957-012-0017-6.html
   My bibliography  Save this article

Existence of Solutions to Time-Dependent Nonlinear Diffusion Equations via Convex Optimization

Author

Listed:
  • Gabriela Marinoschi

    (Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy)

Abstract

This paper aims at providing new existence results for time-dependent nonlinear diffusion equations by following a variational principle. More specifically, the nonlinear equation is reduced to a convex optimization problem via the Lagrange–Fenchel duality relations. We prove that, in the case when the potential related to the diffusivity function is continuous and has a polynomial growth with respect to the solution, the optimization problem is equivalent with the original diffusion equation. In the situation when the potential is singular, the minimization problem has a solution which can be viewed as a generalized solution to the diffusion equation. In this case, it is proved, however, that the null minimizer in the optimization problem in which the state boundedness is considered in addition is the weak solution to the original diffusion problem. This technique allows one to prove the existence in the cases when standard methods do not apply. The physical interpretation of the second case is intimately related to a flow in which two phases separated by a free boundary evolve in time, and has an immediate application to fluid filtration in porous media.

Suggested Citation

  • Gabriela Marinoschi, 2012. "Existence of Solutions to Time-Dependent Nonlinear Diffusion Equations via Convex Optimization," Journal of Optimization Theory and Applications, Springer, vol. 154(3), pages 792-817, September.
  • Handle: RePEc:spr:joptap:v:154:y:2012:i:3:d:10.1007_s10957-012-0017-6
    DOI: 10.1007/s10957-012-0017-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10957-012-0017-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10957-012-0017-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ioana Ciotir, 2015. "A Variational Approach to Neumann Stochastic Semi-Linear Equations Modeling the Thermostatic Control," Journal of Optimization Theory and Applications, Springer, vol. 167(3), pages 1095-1111, December.
    2. Gabriela Marinoschi, 2014. "Variational Solutions to Nonlinear Diffusion Equations with Singular Diffusivity," Journal of Optimization Theory and Applications, Springer, vol. 161(2), pages 430-445, May.

    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:joptap:v:154:y:2012:i:3:d:10.1007_s10957-012-0017-6. 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.