IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v362y2019ic54.html
   My bibliography  Save this article

On Cauchy problem for nonlinear fractional differential equation with random discrete data

Author

Listed:
  • Phuong, Nguyen Duc
  • Tuan, Nguyen Huy
  • Baleanu, Dumitru
  • Ngoc, Tran Bao

Abstract

This paper is concerned with finding the solution u(x, t) of the Cauchy problem for nonlinear fractional elliptic equation with perturbed input data. This study shows that our forward problem is severely ill-posed in sense of Hadamard. For this ill-posed problem, the trigonometric of non-parametric regression associated with the truncation method is applied to construct a regularized solution. Under prior assumptions for the exact solution, the convergence rate is obtained in both L2 and Hq (for q > 0) norm. Moreover, the numerical example is also investigated to justify our results.

Suggested Citation

  • Phuong, Nguyen Duc & Tuan, Nguyen Huy & Baleanu, Dumitru & Ngoc, Tran Bao, 2019. "On Cauchy problem for nonlinear fractional differential equation with random discrete data," Applied Mathematics and Computation, Elsevier, vol. 362(C), pages 1-1.
  • Handle: RePEc:eee:apmaco:v:362:y:2019:i:c:54
    DOI: 10.1016/j.amc.2019.05.029
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300319304229
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2019.05.029?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. Tuan, Nguyen Huy & Thang, Le Duc & Khoa, Vo Anh, 2015. "A modified integral equation method of the nonlinear elliptic equation with globally and locally Lipschitz source," Applied Mathematics and Computation, Elsevier, vol. 265(C), pages 245-265.
    2. Tuan, Nguyen Huy & Nane, Erkan, 2017. "Inverse source problem for time-fractional diffusion with discrete random noise," Statistics & Probability Letters, Elsevier, vol. 120(C), pages 126-134.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Nguyen Anh Triet & Nguyen Duc Phuong & Van Thinh Nguyen & Can Nguyen-Huu, 2019. "Regularization and Error Estimate for the Poisson Equation with Discrete Data," Mathematics, MDPI, vol. 7(5), pages 1-20, 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:eee:apmaco:v:362:y:2019:i:c:54. 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.