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Abstract

In this paper, the inverse problem of identifying the source term of the time fractional diffusion-wave equation is studied. This problem is ill-posed, i.e., the solution (if it exists) does not depend on the measurable data. Under the priori bound condition, the condition stable result and the optimal error bound are all obtained. The fractional Landweber iterative regularization method is used to solve this inverse problem. Based on the priori regularization parameter selection rule and the posteriori regularization parameter selection rule, the error estimation between the regularization solution and the exact solution is obtained. Moreover, the error estimations are all order optimal. At the end, three numerical examples are given to prove the effectiveness and stability of this regularization method.

Details

1009240
Title
Fractional Landweber Regularization Method for Identifying the Source Term of the Time Fractional Diffusion-Wave Equation
Author
Liang Zhenyu 1 ; Jiang, Qin 1 ; Liu, Qingsong 1 ; Xu Luopeng 1 ; Yang, Fan 2 

 Key Laboratory of Photonic and Optical Detection in Civil Aviation, School of Science, Civil Aviation Flight University of China, Guanghan 618307, China 
 School of Science, Lanzhou University of Technology, Lanzhou 730050, China 
Publication title
Symmetry; Basel
Volume
17
Issue
4
First page
554
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
20738994
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-04-05
Milestone dates
2025-02-14 (Received); 2025-04-03 (Accepted)
Publication history
 
 
   First posting date
05 Apr 2025
ProQuest document ID
3194646515
Document URL
https://www.proquest.com/scholarly-journals/fractional-landweber-regularization-method/docview/3194646515/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-04-25
Database
ProQuest One Academic