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Main Authors: Yang, Yi, Huang, Jin
Format: Preprint
Published: 2022
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Online Access:https://arxiv.org/abs/2212.03493
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author Yang, Yi
Huang, Jin
author_facet Yang, Yi
Huang, Jin
contents This paper presents an efficient and concise double fast algorithm to solve high dimensional time-space fractional diffusion problems with spectral fractional Laplacian. We first establish semi-discrete scheme of time-space fractional diffusion equation, which uses linear finite element or fourth-order compact difference method combining with matrix transfer technique to approximate spectral fractional Laplacian. Then we introduce a fast time-stepping L1 scheme for time discretization. The proposed scheme can exactly evaluate fractional power of matrix and perform matrix-vector multiplication at per time level by using discrete sine transform, which doesn't need to resort to any iteration method and can significantly reduce computation cost and memory requirement. Further, we address stability and convergence analyses of full discrete scheme based on fast time-stepping L1 scheme on graded time mesh. Our analysis shows that the choice of graded mesh factor $ω=(2-α)/α$ shall give an optimal temporal convergence $\mathcal{O}(N^{-(2-α)})$ with $N$ denoting the number of time mesh. Finally, ample numerical examples are delivered to illustrate our theoretical analysis and the efficiency of the suggested scheme.
format Preprint
id arxiv_https___arxiv_org_abs_2212_03493
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Double fast algorithm for solving time-space fractional diffusion problems with spectral fractional Laplacian
Yang, Yi
Huang, Jin
Numerical Analysis
This paper presents an efficient and concise double fast algorithm to solve high dimensional time-space fractional diffusion problems with spectral fractional Laplacian. We first establish semi-discrete scheme of time-space fractional diffusion equation, which uses linear finite element or fourth-order compact difference method combining with matrix transfer technique to approximate spectral fractional Laplacian. Then we introduce a fast time-stepping L1 scheme for time discretization. The proposed scheme can exactly evaluate fractional power of matrix and perform matrix-vector multiplication at per time level by using discrete sine transform, which doesn't need to resort to any iteration method and can significantly reduce computation cost and memory requirement. Further, we address stability and convergence analyses of full discrete scheme based on fast time-stepping L1 scheme on graded time mesh. Our analysis shows that the choice of graded mesh factor $ω=(2-α)/α$ shall give an optimal temporal convergence $\mathcal{O}(N^{-(2-α)})$ with $N$ denoting the number of time mesh. Finally, ample numerical examples are delivered to illustrate our theoretical analysis and the efficiency of the suggested scheme.
title Double fast algorithm for solving time-space fractional diffusion problems with spectral fractional Laplacian
topic Numerical Analysis
url https://arxiv.org/abs/2212.03493