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Numerical Study of a Fast Two-Level Strang Splitting Method for Spatial Fractional Allen–Cahn Equations
Cai, Yao Yuan; Sun, Hai Wei; Tam, Sik Chung
2023-06-01
Source PublicationJournal of Scientific Computing
ISSN0885-7474
Volume95Issue:3
AbstractIn this paper, a numerical method to solve the multi-dimensional spatial fractional Allen–Cahn equations has been investigated. After semi-discretizating the equations, a system of nonlinear ordinary differential equations with a Toeplitz structure is induced. We propose to split the Toeplitz matrix into the sum of a circulant matrix and a skew-circulant matrix, and apply the Strang splitting method. Such a two-level Strang splitting method will reduce the computational complexity to O(qlog q). Moreover, it preserves not only the discrete maximum principle unconditionally but also second-order convergence as well. By introducing a new modified energy formula, the energy dissipation property can be guaranteed. Finally, some numerical experiments are conducted to confirm the theories we put forward.
KeywordAltered two-level Strang splitting method Circulant and skew-circulant matrix Discrete maximum principle Fast Fourier transform Modified energy decay
DOI10.1007/s10915-023-02196-4
URLView the original
Language英語English
Scopus ID2-s2.0-85153289773
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Document TypeJournal article
CollectionUniversity of Macau
AffiliationDepartment of Mathematics, University of Macau, Macao
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Cai, Yao Yuan,Sun, Hai Wei,Tam, Sik Chung. Numerical Study of a Fast Two-Level Strang Splitting Method for Spatial Fractional Allen–Cahn Equations[J]. Journal of Scientific Computing, 2023, 95(3).
APA Cai, Yao Yuan., Sun, Hai Wei., & Tam, Sik Chung (2023). Numerical Study of a Fast Two-Level Strang Splitting Method for Spatial Fractional Allen–Cahn Equations. Journal of Scientific Computing, 95(3).
MLA Cai, Yao Yuan,et al."Numerical Study of a Fast Two-Level Strang Splitting Method for Spatial Fractional Allen–Cahn Equations".Journal of Scientific Computing 95.3(2023).
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