VARIATIONAL METHOD FOR A BACKWARD PROBLEM FOR A TIME-FRACTIONAL DIFFUSION EQUATION

被引:8
作者
Wei, Ting [1 ]
Xian, Jun [1 ]
机构
[1] Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Gansu, Peoples R China
来源
ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE | 2019年 / 53卷 / 04期
关键词
Backward problem; fractional diffusion equation; Tikhonov regularization; variational method; conjugate gradient method; DIFFERENCE APPROXIMATION; COEFFICIENT; TRANSPORT;
D O I
10.1051/m2an/2019019
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper is devoted to solve a backward problem for a time-fractional diffusion equation by a variational method. The regularity of a weak solution for the direct problem as well as the existence and uniqueness of a weak solution for the adjoint problem are proved. We formulate the backward problem into a variational problem by using the Tikhonov regularization method, and obtain an approximation to the minimizer of the variational problem by using a conjugate gradient method. Four numerical examples in one-dimensional and two-dimensional cases are provided to show the effectiveness of the proposed algorithm.
引用
收藏
页码:1223 / 1244
页数:22
相关论文
共 32 条
[1]  
[Anonymous], 2006, THEORY APPL FRACTION, DOI DOI 10.1016/S0304-0208(06)80001-0
[2]   Anomalous transport in laboratory-scale, heterogeneous porous media [J].
Berkowitz, B ;
Scher, H ;
Silliman, SE .
WATER RESOURCES RESEARCH, 2000, 36 (01) :149-158
[3]  
Courant R., 1953, METHODS MATH PHYS IN, V1
[4]  
Engl HW, 1996, MATH ITS APPL
[5]  
Hanke M., 1993, Surveys on Mathematics for Industry, V3, P253
[6]   Fractional cable models for spiny neuronal dendrites [J].
Henry, B. I. ;
Langlands, T. A. M. ;
Wearne, S. L. .
PHYSICAL REVIEW LETTERS, 2008, 100 (12)
[7]   High-order finite element methods for time-fractional partial differential equations [J].
Jiang, Yingjun ;
Ma, Jingtang .
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2011, 235 (11) :3285-3290
[8]   Finite difference/spectral approximations for the time-fractional diffusion equation [J].
Lin, Yumin ;
Xu, Chuanju .
JOURNAL OF COMPUTATIONAL PHYSICS, 2007, 225 (02) :1533-1552
[9]   A backward problem for the time-fractional diffusion equation [J].
Liu, J. J. ;
Yamamoto, M. .
APPLICABLE ANALYSIS, 2010, 89 (11) :1769-1788
[10]   MAXIMUM PRINCIPLE AND ITS APPLICATION FOR THE TIME-FRACTIONAL DIFFUSION EQUATIONS [J].
Luchko, Yury .
FRACTIONAL CALCULUS AND APPLIED ANALYSIS, 2011, 14 (01) :110-124