Identifying the Source Function for Time Fractional Diffusion With Non-Local in Time Conditions
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Heidelberg
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
The diffusion equation has many applications in fields such as physics, environment, and fluid mechanics. In this paper, we consider the problem of identifying an unknown source for a time-fractional diffusion equation in a general bounded domain from the nonlocal integral condition. The problem is non-well-posed in the sense of Hadamard, i.e, if the problem has only one solution, the solution will not depend continuously on the input data. To get a stable solution and approximation, we need to offer the regularization methods. The first contribution to the paper is to provide a regularized solution using the modified fractional Landweber method. Two choices are proposed including a priori and a posteriori parameter choice rules, to estimate the convergence rate of the regularized methods. The second new contribution is to use truncation to give an estimate of L-p for the convergence rate.
Description
Keywords
Inverse Source Problem, Fractional Diffusion Problem, Ill-Posed Problem, Convergence Estimates, Integral Condition, Regularization, Parabolic equations and parabolic systems, regularization, Fixed-point theorems, Heat equation, Nonlinear ill-posed problems, inverse source problem, convergence estimates, ill-posed problem, fractional diffusion problem, integral condition
Fields of Science
0101 mathematics, 01 natural sciences
Citation
Luc, Nguyen Hoang...et al. (2021). "Identifying the source function for time fractional diffusion with non-local in time conditions", Computational and Applied Mathematics, Vol. 40, No. 5.
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OpenCitations Citation Count
9
Source
Computational and Applied Mathematics
Volume
40
Issue
5
Start Page
End Page
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Citations
CrossRef : 7
Scopus : 8
SCOPUS™ Citations
10
checked on Feb 24, 2026
Web of Science™ Citations
9
checked on Feb 24, 2026
Page Views
3
checked on Feb 24, 2026
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