TY - JOUR
T1 - Spectral Analysis for Preconditioning of MultiDimensional Riesz Fractional Diffusion Equations
AU - Huang, Xin
AU - Lin, Xue Lei
AU - Ng, Michael K.
AU - Sun, Hai Wei
N1 - The authors thank the anonymous reviewers of this article for their helpful comments and suggestions to improve the quality of this article. This work is supported in part by research grants of the Science and Technology Development Fund, Macau SAR (No. 0122/2020/A3), University of Macau (No. MYRG2020-00224-FST), the HKRGC GRF (No. 12306616, 12200317, 12300218, 12300519, 17201020) ), and China Postdoctoral Science Foundation (Grant 2020M682897).
Publisher Copyright:
© 2022 Global-Science Press.
PY - 2022/8
Y1 - 2022/8
N2 - In this paper, we analyze the spectra of the preconditioned matrices arising from discretized multi-dimensional Riesz spatial fractional diffusion equations. The finite difference method is employed to approximate the multi-dimensional Riesz fractional derivatives, which generates symmetric positive definite ill-conditioned multi-level Toeplitz matrices. The preconditioned conjugate gradient method with a preconditioner based on the sine transform is employed to solve the resulting linear system. Theoretically, we prove that the spectra of the preconditioned matrices are uniformly bounded in the open interval (1/2, 3/2) and thus the preconditioned conjugate gradient method converges linearly within an iteration number independent of the discretization step-size. Moreover, the proposed method can be extended to handle ill-conditioned multi-level Toeplitz matrices whose blocks are generated by functions with zeros of fractional order. Our theoretical results fill in a vacancy in the literature. Numerical examples are presented to show the convergence performance of the proposed preconditioner that is better than other preconditioners
AB - In this paper, we analyze the spectra of the preconditioned matrices arising from discretized multi-dimensional Riesz spatial fractional diffusion equations. The finite difference method is employed to approximate the multi-dimensional Riesz fractional derivatives, which generates symmetric positive definite ill-conditioned multi-level Toeplitz matrices. The preconditioned conjugate gradient method with a preconditioner based on the sine transform is employed to solve the resulting linear system. Theoretically, we prove that the spectra of the preconditioned matrices are uniformly bounded in the open interval (1/2, 3/2) and thus the preconditioned conjugate gradient method converges linearly within an iteration number independent of the discretization step-size. Moreover, the proposed method can be extended to handle ill-conditioned multi-level Toeplitz matrices whose blocks are generated by functions with zeros of fractional order. Our theoretical results fill in a vacancy in the literature. Numerical examples are presented to show the convergence performance of the proposed preconditioner that is better than other preconditioners
KW - Multi-dimensional Riesz fractional derivative
KW - multi-level Toeplitz matrix
KW - preconditioned conjugate gradient method
KW - sine transform based preconditioner
UR - http://www.scopus.com/inward/record.url?scp=85138585261&partnerID=8YFLogxK
U2 - 10.4208/nmtma.OA-2022-0032
DO - 10.4208/nmtma.OA-2022-0032
M3 - Journal article
AN - SCOPUS:85138585261
SN - 1004-8979
VL - 15
SP - 565
EP - 591
JO - Numerical Mathematics
JF - Numerical Mathematics
IS - 3
ER -