Journal
JOURNAL OF INVERSE AND ILL-POSED PROBLEMS
Volume -, Issue -, Pages -Publisher
WALTER DE GRUYTER GMBH
DOI: 10.1515/jiip-2020-0057
Keywords
Recover of fractional order and time source; time-fractional diffusion-wave equation; uniqueness; Levenberg-Marquardt method; fast tensor method
Categories
Ask authors/readers for more resources
In this article, the inverse problem of determining a fractional order and a time-dependent source term in a multi-dimensional time-fractional diffusion-wave equation is considered using a nonlocal condition. The uniqueness of the inverse problem and the Lipschitz continuity properties for the direct problem are proven. The Levenberg-Marquardt method is employed to recover the fractional order and the time source term simultaneously, and a finite-dimensional approximation algorithm is established to find a regularized numerical solution. Furthermore, a fast tensor method for solving the direct problem in the three-dimensional case is provided. Numerical results in both one and multi-dimensional spaces are presented to demonstrate the robustness of the proposed algorithm.
In this article, we consider an inverse problem for determining simultaneously a fractional order and a time-dependent source term in a multi-dimensional time-fractional diffusion-wave equation by a nonlocal condition. Based on a uniformly bounded estimate of the Mittag-Leffler function given in this paper, we prove the uniqueness of the inverse problem and the Lipschitz continuity properties for the direct problem. Then we employ the Levenberg-Marquardt method to recover simultaneously the fractional order and the time source term, and establish a finite-dimensional approximation algorithm to find a regularized numerical solution. Moreover, a fast tensor method for solving the direct problem in the three-dimensional case is provided. Some numerical results in one and multidimensional spaces are presented for showing the robustness of the proposed algorithm.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available