求解时空分数阶扩散方程反源问题的数值方法
A Numerical Method for Solving the Inverse Source Problem of the Space-Time Fractional Diffusion Equation
摘要:
在本文中,主要研究一类时空分数阶扩散方程只与空间变量有关的反源问题,通过分析该反源问题的不适定性,将求解反源问题转化求解第一类Fredlom积分方程,应用经典的Tikhonov正则化方法得到了正则解的存在性,并证明正则解在后验正则化参数选择规则下的收敛估计。
Abstract:
In this paper, we mainly study the inverse source problem of a class of space-time fractional diffusion equations which are only related to spatial variables. By analyzing the ill-posedness of the inverse source problem, we transform the solution of the inverse source problem into the solution of the first Fredlom integral equation. The existence of the regular solution is obtained by using the classical Tikhonov regularization method, and the convergence estimation of the regular solution is proved under the posterior regularization parameter selection rule.
参考文献
|
[1]
|
Zaslavsky, G.M. (2005) Hamiltonian Chaos and Fractional Dynamics. Oxford University Press, Oxford.
|
|
[2]
|
Zaslavsky, G.M. (2002) Chaos, Fractional Kinetics, and Anomalous Transport. Physics Reports, 371, 461-580. [Google Scholar] [CrossRef]
|
|
[3]
|
Li, Y.S. and Wei, T. (2018) An Inverse Time-Dependent Source Problem for a Time-Space Fractional Diffusion Equation. Applied and Computational Mathematics, 336, 257-271. [Google Scholar] [CrossRef]
|
|
[4]
|
Tatar, S., Tnaztepe, R. and Ulusoy, S. (2015) Determination of an Unknown Source Term in a Space-Time Fractional Diffusion Equation. Fractional Calculus and Applied Analysis, 6, 83-90.
|
|
[5]
|
Tatar, S., Tnaztepe, R. and Ulusoy, S. (2016) Simultaneous Inversion for the Exponents of the Fractional Time and Space Derivatives in the Space-Time Fractional Diffusion Equation. Applicable Analysis, 95, 1-23. [Google Scholar] [CrossRef]
|
|
[6]
|
Tatar, S. and Ulusoy, S. (2014) An Inverse Source Problem for a One-Dimensional Space-Time Fractional Diffusion Equation. Applicable Analysis, 94, 1-12. [Google Scholar] [CrossRef]
|
|
[7]
|
Engl, H.W., Hanke, M. and Neubauer, A. (1996) Regularization of Inverse Problem. Kluwer Academic Publishers, Dordrecht. [Google Scholar] [CrossRef]
|