IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-73518-4_16.html
   My bibliography  Save this book chapter

Heat Conduction in a Finite Bar with a Nonlinear Source

In: Comprehensive Applied Mathematical Modeling in the Natural and Engineering Sciences

Author

Listed:
  • David J. Wollkind

    (Washington State University, Department of Mathematics)

  • Bonni J. Dichone

    (Gonzaga University, Department of Mathematics)

Abstract

A model reaction-diffusion equation for temperature with a nonlinear source term is introduced which is an extension of the linear source one treated in Chapter 5 . This is equivalent to the interaction-diffusion equation for population density originally analyzed by Wollkind et al. (SIAM Rev 36:176–214, 1994, [142]) through terms of third-order in its supercritical parameter range. That analysis is extended through terms of fifth-order to examine the behavior in its subcritical regime. It is shown that under the proper conditions the two subcritical cases behave in exactly the same manner as the two supercritical ones unlike the outcome for the truncated system. Further there also exists a region of metastability allowing for the possibility of population outbreaks discussed in Chapter . These results are then used to offer an explanation for the occurrence of isolated vegetative patches and sparse homogeneous distributions in the relevant ecological parameter range where there is subcriticality for a plant-ground water model to be treated in Chapter . Finally these results are discussed in the context of Matkowsky’s (Bull Amer Math Soc 76:646–649, 1970, [78]) two-time nonlinear stability analysis. The problem applies this nonlinear stability analysis through terms of third-order to a particular reaction-long range diffusion model equation (Wollkind et al, SIAM Rev 36:176–214, 1994, [142]).

Suggested Citation

  • David J. Wollkind & Bonni J. Dichone, 2017. "Heat Conduction in a Finite Bar with a Nonlinear Source," Springer Books, in: Comprehensive Applied Mathematical Modeling in the Natural and Engineering Sciences, chapter 0, pages 399-421, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-73518-4_16
    DOI: 10.1007/978-3-319-73518-4_16
    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:978-3-319-73518-4_16. 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.