A $τ$-preconditioner for space fractional diffusion equation with non-separable variable coefficients

Fuente: arXiv
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Main Authors: Lin, Xue-Lei, Ng, Michael K.
Format: Preprint
Published: 2024
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author Lin, Xue-Lei
Ng, Michael K.
author_facet Lin, Xue-Lei
Ng, Michael K.
contents In this paper, we study a $τ$-matrix approximation based preconditioner for the linear systems arising from discretization of unsteady state Riesz space fractional diffusion equation with non-separable variable coefficients. The structure of coefficient matrices of the linear systems is identity plus summation of diagonal-times-multilevel-Toeplitz matrices. In our preconditioning technique, the diagonal matrices are approximated by scalar identity matrices and the Toeplitz matrices are approximated by τ-matrices (a type of matrices diagonalizable by discrete sine transforms). The proposed preconditioner is fast invertible through the fast sine transform (FST) algorithm. Theoretically, we show that the GMRES solver for the preconditioned systems has an optimal convergence rate (a convergence rate independent of discretization stepsizes). To the best of our knowledge, this is the first preconditioning method with the optimal convergence rate for the variable-coefficients space fractional diffusion equation. Numerical results are reported to demonstrate the efficiency of the proposed method.
format Preprint
id arxiv_https___arxiv_org_abs_2404_11390
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A $τ$-preconditioner for space fractional diffusion equation with non-separable variable coefficients
Lin, Xue-Lei
Ng, Michael K.
Numerical Analysis
65B99, 65M22, 65F08, 65F10
In this paper, we study a $τ$-matrix approximation based preconditioner for the linear systems arising from discretization of unsteady state Riesz space fractional diffusion equation with non-separable variable coefficients. The structure of coefficient matrices of the linear systems is identity plus summation of diagonal-times-multilevel-Toeplitz matrices. In our preconditioning technique, the diagonal matrices are approximated by scalar identity matrices and the Toeplitz matrices are approximated by τ-matrices (a type of matrices diagonalizable by discrete sine transforms). The proposed preconditioner is fast invertible through the fast sine transform (FST) algorithm. Theoretically, we show that the GMRES solver for the preconditioned systems has an optimal convergence rate (a convergence rate independent of discretization stepsizes). To the best of our knowledge, this is the first preconditioning method with the optimal convergence rate for the variable-coefficients space fractional diffusion equation. Numerical results are reported to demonstrate the efficiency of the proposed method.
title A $τ$-preconditioner for space fractional diffusion equation with non-separable variable coefficients
topic Numerical Analysis
65B99, 65M22, 65F08, 65F10
url https://arxiv.org/abs/2404.11390