IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i22p2894-d678663.html
   My bibliography  Save this article

On Some Features of the Numerical Solving of Coefficient Inverse Problems for an Equation of the Reaction-Diffusion-Advection-Type with Data on the Position of a Reaction Front

Author

Listed:
  • Raul Argun

    (Department of Mathematics, Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia)

  • Alexandr Gorbachev

    (Department of Mathematics, Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia)

  • Dmitry Lukyanenko

    (Department of Mathematics, Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia
    Moscow Center for Fundamental and Applied Mathematics, 119234 Moscow, Russia)

  • Maxim Shishlenin

    (Institute of Computational Mathematics and Mathematical Geophysics of SB RAS, 630090 Novosibirsk, Russia
    Department of Mathematics and Mechanics, Novosibirsk State University, 630090 Novosibirsk, Russia)

Abstract

The work continues a series of articles devoted to the peculiarities of solving coefficient inverse problems for nonlinear singularly perturbed equations of the reaction-diffusion-advection-type with data on the position of the reaction front. In this paper, we place the emphasis on some problems of the numerical solving process. One of the approaches to solving inverse problems of the class under consideration is the use of methods of asymptotic analysis. These methods, under certain conditions, make it possible to construct the so-called reduced formulation of the inverse problem. Usually, a differential equation in this formulation has a lower dimension/order with respect to the differential equation, which is included in the full statement of the inverse problem. In this paper, we consider an example that leads to a reduced formulation of the problem, the solving of which is no less a time-consuming procedure in comparison with the numerical solving of the problem in the full statement. In particular, to obtain an approximate numerical solution, one has to use the methods of the numerical diagnostics of the solution’s blow-up. Thus, it is demonstrated that the possibility of constructing a reduced formulation of the inverse problem does not guarantee its more efficient solving. Moreover, the possibility of constructing a reduced formulation of the problem does not guarantee the existence of an approximate solution that is qualitatively comparable to the true one. In previous works of the authors, it was shown that an acceptable approximate solution can be obtained only for sufficiently small values of the singular parameter included in the full statement of the problem. However, the question of how to proceed if the singular parameter is not small enough remains open. The work also gives an answer to this question.

Suggested Citation

  • Raul Argun & Alexandr Gorbachev & Dmitry Lukyanenko & Maxim Shishlenin, 2021. "On Some Features of the Numerical Solving of Coefficient Inverse Problems for an Equation of the Reaction-Diffusion-Advection-Type with Data on the Position of a Reaction Front," Mathematics, MDPI, vol. 9(22), pages 1-18, November.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:22:p:2894-:d:678663
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/22/2894/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/22/2894/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Egger, H. & Fellner, K. & Pietschmann, J.-F. & Tang, B.Q., 2018. "Analysis and numerical solution of coupled volume-surface reaction-diffusion systems with application to cell biology," Applied Mathematics and Computation, Elsevier, vol. 336(C), pages 351-367.
    2. Raul Argun & Alexandr Gorbachev & Natalia Levashova & Dmitry Lukyanenko, 2021. "Inverse Problem for an Equation of the Reaction-Diffusion-Advection Type with Data on the Position of a Reaction Front: Features of the Solution in the Case of a Nonlinear Integral Equation in a Reduc," Mathematics, MDPI, vol. 9(18), pages 1-14, September.
    3. Natalia Levashova & Alla Sidorova & Anna Semina & Mingkang Ni, 2019. "A Spatio-Temporal Autowave Model of Shanghai Territory Development," Sustainability, MDPI, vol. 11(13), pages 1-13, July.
    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. Maryam Gharamah Alshehri & Faizan Ahmad Khan & Faeem Ali, 2022. "An Iterative Algorithm to Approximate Fixed Points of Non-Linear Operators with an Application," Mathematics, MDPI, vol. 10(7), pages 1-16, April.
    2. Raul Argun & Natalia Levashova & Dmitry Lukyanenko & Alla Sidorova & Maxim Shishlenin, 2023. "Modeling the Dynamics of Negative Mutations for a Mouse Population and the Inverse Problem of Determining Phenotypic Differences in the First Generation," Mathematics, MDPI, vol. 11(14), pages 1-17, July.

    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. Dmitry Lukyanenko & Tatyana Yeleskina & Igor Prigorniy & Temur Isaev & Andrey Borzunov & Maxim Shishlenin, 2021. "Inverse Problem of Recovering the Initial Condition for a Nonlinear Equation of the Reaction–Diffusion–Advection Type by Data Given on the Position of a Reaction Front with a Time Delay," Mathematics, MDPI, vol. 9(4), pages 1-12, February.
    2. Raul Argun & Alexandr Gorbachev & Natalia Levashova & Dmitry Lukyanenko, 2021. "Inverse Problem for an Equation of the Reaction-Diffusion-Advection Type with Data on the Position of a Reaction Front: Features of the Solution in the Case of a Nonlinear Integral Equation in a Reduc," Mathematics, MDPI, vol. 9(18), pages 1-14, September.
    3. Max Winkler, 2020. "Error estimates for the finite element approximation of bilinear boundary control problems," Computational Optimization and Applications, Springer, vol. 76(1), pages 155-199, 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:gam:jmathe:v:9:y:2021:i:22:p:2894-:d:678663. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.