IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v342y2019icp166-177.html
   My bibliography  Save this article

The two-level finite difference schemes for the heat equation with nonlocal initial condition

Author

Listed:
  • Martín-Vaquero, Jesús
  • Sajavičius, Svajūnas

Abstract

In this paper, the two-level finite difference schemes for the one-dimensional heat equation with a nonlocal initial condition are analyzed. As the main result, we obtain conditions for the numerical stability of the schemes. In addition, we revise the stability conditions obtained in [21] for the Crank–Nicolson scheme. We present several numerical examples that confirm the theoretical results within linear, as well as nonlinear problems. In some particular cases, it is shown that for small regions of the time step size values, the explicit FTCS scheme is stable while certain implicit methods, such as Crank–Nicolson scheme, are not.

Suggested Citation

  • Martín-Vaquero, Jesús & Sajavičius, Svajūnas, 2019. "The two-level finite difference schemes for the heat equation with nonlocal initial condition," Applied Mathematics and Computation, Elsevier, vol. 342(C), pages 166-177.
  • Handle: RePEc:eee:apmaco:v:342:y:2019:i:c:p:166-177
    DOI: 10.1016/j.amc.2018.09.025
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300318307975
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2018.09.025?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.

    References listed on IDEAS

    as
    1. Dennis E. Jackson, 1992. "Error estimates for the semidiscrete finite element approximation of linear nonlocal parabolic equations," International Journal of Stochastic Analysis, Hindawi, vol. 5, pages 1-9, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Miglena N. Koleva & Lubin G. Vulkov, 2024. "Numerical Recovering of Space-Dependent Sources in Hyperbolic Transmission Problems," Mathematics, MDPI, vol. 12(11), pages 1-20, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:eee:apmaco:v:342:y:2019:i:c:p:166-177. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

      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.