IDEAS home Printed from https://ideas.repec.org/a/hin/jnijsa/541721.html
   My bibliography  Save this article

Connections between the convective diffusion equation and the forced Burgers equation

Author

Listed:
  • Nejib Smaoui
  • Fethi Belgacem

Abstract

The convective diffusion equation with drift b ( x ) and indefinite weight r ( x ) , ∂ ϕ ∂ t = ∂ ∂ x [ a ∂ ϕ ∂ x − b ( x ) ϕ ] + λ r ( x ) ϕ ,       ( 1 ) is introduced as a model for population dispersal. Strong connections between Equation (1) and the forced Burgers equation with positive frequency ( m ≥ 0 ) , ∂ u ∂ t = ∂ 2 u ∂ x 2 − u ∂ u ∂ x + m u + k ( x ) ,       ( 2 ) are established through the Hopf-Cole transformation. Equation (2) is a prime prototype of the large class of quasilinear parabolic equations given by ∂ u ∂ t = ∂ 2 u ∂ x 2 + ∂ ( f ( v ) ) ∂ x + g ( v ) + h ( x ) .     ( 3 ) A compact attractor and an inertial manifold for the forced Burgers equation are shown to exist via the Kwak transformation. Consequently, existence of an inertial manifold for the convective diffusion equation is guaranteed. Equation (2) can be interpreted as the velocity field precursed by Equation (1). Therefore, the dynamics exhibited by the population density in Equation (1) show their effects on the velocity expressed in Equation (2). Numerical results illustrating some aspects of the previous connections are obtained by using a pseudospectral method.

Suggested Citation

  • Nejib Smaoui & Fethi Belgacem, 2002. "Connections between the convective diffusion equation and the forced Burgers equation," International Journal of Stochastic Analysis, Hindawi, vol. 15, pages 1-17, January.
  • Handle: RePEc:hin:jnijsa:541721
    DOI: 10.1155/S1048953302000060
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/IJSA/15/541721.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/IJSA/15/541721.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/S1048953302000060?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
    ---><---

    Citations

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


    Cited by:

    1. Ishtiaq Ali & Muhammad Yaseen & Muhammad Abdullah & Sana Khan & Fethi Bin Muhammad Belgacem, 2023. "An Innovative Numerical Method Utilizing Novel Cubic B-Spline Approximations to Solve Burgers’ Equation," Mathematics, MDPI, vol. 11(19), pages 1-19, September.

    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:hin:jnijsa:541721. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.