Analysis and fast approximation of a steady-state spatially-dependent distributed-order space-fractional diffusion equation

2021 ◽  
Vol 24 (5) ◽  
pp. 1477-1506
Author(s):  
Jinhong Jia ◽  
Xiangcheng Zheng ◽  
Hong Wang

Abstract We prove the wellposedness of a distributed-order space-fractional diffusion equation with variably distribution and its support, which could adequately model the challenging phenomena such as the anomalous diffusion in multiscale heterogeneous porous media, and smoothing properties of its solutions. We develop and analyze a collocation scheme for the proposed model based on the proved smoothing properties of the solutions. Furthermore, we approximately expand the stiffness matrix by a sum of Toeplitz matrices multiplied by diagonal matrices, which can be employed to develop the fast solver for the approximated system. We prove that it suffices to apply O(log N) terms of expansion to retain the accuracy of the numerical discretization of degree N, which reduces the storage of the stiffness matrix from O(N 2) to O(N log N), and the computational cost of matrix-vector multiplication from O(N 2) to O(N log2 N). Numerical results are presented to verify the effectiveness and the efficiency of the fast method.

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Xiangcheng Zheng ◽  
Yiqun Li ◽  
Jin Cheng ◽  
Hong Wang

AbstractVariable-order space-fractional diffusion equations provide very competitive modeling capabilities of challenging phenomena, including anomalously superdiffusive transport of solutes in heterogeneous porous media, long-range spatial interactions and other applications, as well as eliminating the nonphysical boundary layers of the solutions to their constant-order analogues. In this paper, we prove the uniqueness of determining the variable fractional order of the homogeneous Dirichlet boundary-value problem of the one-sided linear variable-order space-fractional diffusion equation with some observed values of the unknown solutions near the boundary of the spatial domain. We base on the analysis to develop a spectral-Galerkin Levenberg–Marquardt method and a finite difference Levenberg–Marquardt method to numerically invert the variable order. We carry out numerical experiments to investigate the numerical performance of these methods.


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