IDENTIFICATION OF TIME-VARYING SOURCE TERM IN TIME-FRACTIONAL EVOLUTION EQUATIONS

被引:0
作者
Kian, Yavar [1 ]
Soccorsi, Eric [1 ]
Xue, Qi [2 ,3 ]
Yamamoto, Masahiro [4 ,5 ,6 ,7 ]
机构
[1] Aix Marseille Univ, Univ Toulon, CNRS, CPT, Marseille, France
[2] CNRS, Inst Sci Terre ISTerre, CS 40700, F-38058 Grenoble 9, France
[3] Univ Grenoble Alpes, CS 40700, F-38058 Grenoble 9, France
[4] Univ Tokyo, Grad Sch Math Sci, Meguro Ku, 3-8-1 Komaba, Tokyo 1538914, Japan
[5] Acad Romanian Scientists, Bucharest, Romania
[6] Accademia Peloritana Pericolanti, Messina, Italy
[7] RUDN Univ, Peoples Friendship Univ Russia, 6 Miklukho Maklaya St, Moscow 117198, Russia
基金
日本学术振兴会; 中国国家自然科学基金;
关键词
Inverse source problems; diffusion equation; fractional diffusion equation; uniqueness result; numerical reconstruction; Tikhonov regularization method; INVERSE SOURCE PROBLEM; DIFFUSION; STABILITY; UNIQUENESS;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper is concerned with the inverse problem of determining the time-and space-dependent source term of diffusion equations with constant-order time-fractional derivative in (0, 2). We examine two different cases. In the first one, the source is the product of a spatial term and a temporal term, and we prove that the term depending on the space variable can be retrieved by observation over the time interval of the solution on an arbitrary sub-boundary. Under some suitable assumptions we can also show the simultaneous recovery of the spatial term and the temporal term. In the second case, we assume that the first term of the product varies with one fixed space variable, while the second one is a function of all the remaining space and time variables, and we show that they are uniquely determined by one arbitrary lateral measurement of the solution. These source identification results boil down to a weak unique continuation principle in the first case and a unique continuation principle for Cauchy data in the second one, that are preliminarily established. Finally, numerical reconstruction of the spatial term in the first case is carried out through an iterative algorithm based on the Tikhonov regularization method.
引用
收藏
页码:53 / 84
页数:32
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