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Lopsided scaled HSS preconditioner for steady-state space-fractional diffusion equations

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Abstract

For the discrete linear system resulting from certain steady-state space-fractional diffusion equations, we construct a lopsided scaled HSS (LSHSS) iteration method and establish its convergence theory. From the LSHSS, we obtain the corresponding matrix splitting preconditioner. By further replacing the involved Toeplitz matrix with certain circulant matrix, we construct a fast LSHSS (FLSHSS) preconditioner in order to accelerate the convergence rates of the Krylov subspace iteration methods. Theoretical analyses and numerical experiments show good performance of the FLSHSS preconditioning.

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References

  1. Bai, Z.-Z.: Respectively scaled HSS iteration methods for solving discretized spatial fractional diffusion equations. Numer. Linear Algebra Appl. 25(e2157), 1–18 (2018)

    MathSciNet  MATH  Google Scholar 

  2. Bai, Z.-Z.: On SSOR-like preconditioners for non-Hermitian positive definite matrices. Numer. Linear Algebra Appl. 23, 37–60 (2016)

    Article  MathSciNet  Google Scholar 

  3. Bai, Z.-Z.: Several splittings for non-Hermitian linear systems. Sci. China Ser. A Math. 51, 1339–1348 (2008)

    Article  MathSciNet  Google Scholar 

  4. Bai, Z.-Z.: On the convergence of additive and multiplicative splitting iterations for systems of linear equations. J. Comput. Appl. Math. 154, 195–214 (2003)

    Article  MathSciNet  Google Scholar 

  5. Bai, Z.-Z., Golub, G.H., Ng, M.K.: Hermitian and skew-Hermitian splitting methods for non-Hermitian positive definite linear systems. SIAM J. Matrix Anal. Appl. 24, 603–626 (2003)

    Article  MathSciNet  Google Scholar 

  6. Bai, Z.-Z., Golub, G.H., Li, C.-K.: Optimal parameter in Hermitian and skew-Hermitian splitting method for certain two-by-two block matrices. SIAM J. Sci. Comput. 28, 583–603 (2006)

    Article  MathSciNet  Google Scholar 

  7. Bai, Z.-Z., Lu, K.-Y., Pan, J.-Y.: Diagonal and Toeplitz splitting iteration methods for diagonal-plus-Toeplitz linear systems from spatial fractional diffusion equations. Numer. Linear Algebra Appl. 24(e2093), 1–15 (2017)

    MathSciNet  MATH  Google Scholar 

  8. Bertaccini, D., Durastante, F.: Solving mixed classical and fractional partial differential equations using short-memory principle and approximate inverses. Numer. Algorithms 74, 1061–1082 (2017)

    Article  MathSciNet  Google Scholar 

  9. Bertaccini, D., Golub, G.H., Serra-Capizzano, S.: Spectral analysis of a preconditioned iterative method for the convection–diffusion equation. SIAM J. Matrix Anal. Appl. 29, 260–278 (2007)

    Article  MathSciNet  Google Scholar 

  10. Buzbee, B.L., Golub, G.H., Nielson, C.W.: On direct methods for solving Poisson’s equations. SIAM J. Numer. Anal. 7, 627–656 (1970)

    Article  MathSciNet  Google Scholar 

  11. Chen, F.: On choices of iteration parameter in HSS method. Appl. Math. Comput. 271, 832–837 (2015)

    MathSciNet  MATH  Google Scholar 

  12. Chen, F., Li, T.-Y.: Fast and improved scaled HSS preconditioner for steady-state space-fractional diffusion equations. Numer. Algorithms (2020). https://doi.org/10.1007/s11075-020-00982-x

    Article  MATH  Google Scholar 

  13. Donatelli, M., Mazza, M., Serra-Capizzano, S.: Spectral analysis and structure preserving preconditioners for fractional diffusion equations. J. Comput. Phys. 307, 262–279 (2016)

    Article  MathSciNet  Google Scholar 

  14. Dorr, F.W.: The direct solution of the discrete Poisson equation on a rectangle. SIAM Rev. 12, 248–263 (1970)

    Article  MathSciNet  Google Scholar 

  15. Golub, G.H., Van Loan, C.F.: Matrix Computations, 4th edn. The Johns Hopkins University Press, Baltimore (2013)

    MATH  Google Scholar 

  16. Huang, Y.-M.: A practical formula for computing optimal parameters in the HSS iteration methods. J. Comput. Appl. Math. 225, 142–149 (2014)

    Article  MathSciNet  Google Scholar 

  17. Huckle, T.K.: Circulant and skewcirculant matrices for solving Toeplitz matrix problems. SIAM J. Matrix Anal. Appl. 13, 767–777 (1992)

    Article  MathSciNet  Google Scholar 

  18. Lei, S.-L., Sun, H.-W.: A circulant preconditioner for fractional diffusion equations. J. Comput. Phys. 242, 715–725 (2013)

    Article  MathSciNet  Google Scholar 

  19. Lu, K.-Y., Miao, C.-Q.: Fast modified scaled HSS preconditioner for steady-state space-fractional diffusion equations. Appl. Math. Lett. 101, 106068 (2020)

    Article  MathSciNet  Google Scholar 

  20. Meerschaert, M.M., Tadjeran, C.: Finite difference approximations for two-sided space-fractional partial differential equations. Appl. Numer. Math. 56, 80–90 (2006)

    Article  MathSciNet  Google Scholar 

  21. Meerschaert, M.M., Scheffler, H.P., Tadjeran, C.: Finite difference methods for two-dimensional fractional dispersion equation. J. Comput. Phys. 211, 249–261 (2006)

    Article  MathSciNet  Google Scholar 

  22. Pan, J.-Y., Ke, R.-H., Ng, M.K., Sun, H.-W.: Preconditioning techniques for diagonal-times-Toeplitz matrices in fractional diffusion equations. SIAM J. Sci. Comput. 36, A2698–A2719 (2014)

    Article  MathSciNet  Google Scholar 

  23. Podlubny, I.: Fractional Differential Equations (Mathematics in Science and Engineering). Academic Press, San Diego (1999)

    MATH  Google Scholar 

  24. Samko, S.G., Kilbas, A.A., Marichev, O.I.: Fractional Integrals and Derivatives: Theory and applications. Gordon and Breach Science Publishers, Yverdon (1993)

    MATH  Google Scholar 

  25. Strang, G.: A proposal for Toeplitz matrix calculations. Stud. Appl. Math. 74, 171–176 (1986)

    Article  Google Scholar 

  26. Wang, H., Wang, K.-X., Sircar, T.: A direct \(\cal{O}(N\,\log ^2 N)\) finite difference method for fractional diffusion equations. J. Comput. Phys. 229, 8095–8104 (2010)

    Article  MathSciNet  Google Scholar 

  27. Wang, K.-X., Wang, H.: A fast characteristic finite difference method for fractional advection–diffusion equations. Adv. Water Resour. 34, 810–816 (2011)

    Article  Google Scholar 

Download references

Acknowledgements

Fang Chen and Tian-Yi Li were supported by The National Natural Science Foundation (No. 11501038), and The Science and Technology Planning Projects of Beijing Municipal Education Commission (Nos. KM201911232010 and KM202011232019), P.R. China. Galina V. Muratova was supported by The Grant of the Government of the Russian Federation (No. 075-15-2019-1928).

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Chen, F., Li, TY. & Muratova, G.V. Lopsided scaled HSS preconditioner for steady-state space-fractional diffusion equations. Calcolo 58, 26 (2021). https://doi.org/10.1007/s10092-021-00419-4

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