Investigation of inverse problem for unknown coefficient in a time fractional diffusion problem with periodic boundary conditions

This paper is about the identification of time dependent unknown function in a time fractional diffusion problem with periodic boundary conditions. Nonlocal over-determined condition in integral form is taken into account in the determination of unknown function as well as the solution of the problem. The existence, uniqueness as well as continuous dependence on data for the inverse problem is presented with certain regularity and consistency conditions. Generalized Fourier method is utilized in this study. The algorithm of the method and an example are also presented to show the effectiveness and accuracy of the proposed method.

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Publication Details

Journal
Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics
Published
2025-09-23
DOI
https://doi.org/10.31801/cfsuasmas.1639047
Primary Topic
Numerical methods in inverse problems
Type
article
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article

Investigation of inverse problem for unknown coefficient in a time fractional diffusion problem with periodic boundary conditions

İrem Bağlan, Süleyman Çetinkaya, Ali Demir
Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics
Numerical methods in inverse problems
article

Investigation of inverse problem for unknown coefficient in a time fractional diffusion problem with periodic boundary conditions

İrem Bağlan, Süleyman Çetinkaya, Ali Demir
article en

Abstract

This paper is about the identification of time dependent unknown function in a time fractional diffusion problem with periodic boundary conditions. Nonlocal over-determined condition in integral form is taken into account in the determination of unknown function as well as the solution of the problem. The existence, uniqueness as well as continuous dependence on data for the inverse problem is presented with certain regularity and consistency conditions. Generalized Fourier method is utilized in this study. The algorithm of the method and an example are also presented to show the effectiveness and accuracy of the proposed method.

Communications Faculty Of Science University of Ankara Series A1Mathematics and StatisticsVol. 74(3)
Kocaeli Üniversitesi (TR)
Openalex Percentile: Top 65%
Numerical methods in inverse problems
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