Modified fractional Landweber iterative method for the source identification problem of pseudo-parabolic equation

This article studies a source identification problem of a fractional pseudo-parabolic equation in which the identified source depends on the spatial variable. Based on the ill-posedness analysis, we first establish a conditional stability result of Hölder type for this problem. Then, by combining with the fractional Landweber iteration method and Fourier truncation technique, we construct a modified fractional Landweber iterative regularization method to restore the stability of the solution on the noisy data. Meanwhile, under the a priori and a posteriori selection rules for the regularization parameter, we give and prove the convergence estimates of Hölder type for the regularization method. Finally, some numerical examples and simulation results are provided to verify the stability and feasibility of this regularization method.

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Publication Details

Journal
Evolution equations and control theory
Published
2025-07-16
DOI
https://doi.org/10.3934/eect.2025052
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

Modified fractional Landweber iterative method for the source identification problem of pseudo-parabolic equation

Hongwu Zhang, Ping Zhang
Evolution equations and control theory
Fractional Differential Equations Solutions
article

Modified fractional Landweber iterative method for the source identification problem of pseudo-parabolic equation

Hongwu Zhang, Ping Zhang
article en

Abstract

This article studies a source identification problem of a fractional pseudo-parabolic equation in which the identified source depends on the spatial variable. Based on the ill-posedness analysis, we first establish a conditional stability result of Hölder type for this problem. Then, by combining with the fractional Landweber iteration method and Fourier truncation technique, we construct a modified fractional Landweber iterative regularization method to restore the stability of the solution on the noisy data. Meanwhile, under the a priori and a posteriori selection rules for the regularization parameter, we give and prove the convergence estimates of Hölder type for the regularization method. Finally, some numerical examples and simulation results are provided to verify the stability and feasibility of this regularization method.

Evolution equations and control theoryVol. 15(0)
North Minzu University (CN)
National Science Foundation, National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 79%
Fractional Differential Equations Solutions
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Modified fractional Landweber iterative method for the source identification problem of pseudo-parabolic equation — Hongwu Zhang, Ping Zhang · Evolution equations and control theory (2025) | TGRS Research Map | TGRS