A New Spectral Method Using Nonstandard Singular Basis Functions for Time-Fractional Diferential Equations

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  • 1 Department of Mathematics, Harbin Institute of Technology, Harbin 150001, China;
    2 Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore;
    3 Mathematics and Statistics, Central South University, Changsha 410083, China

Received date: 2018-08-28

  Revised date: 2018-09-10

  Online published: 2019-06-20

Supported by

W. Liu:The research of this author is partially supported by the China Postdoctoral Science Foundation Funded Project (No. 2017M620113), the National Natural Science Foundation of China (Nos. 11801120, 71773024 and 11771107), the Fundamental Research Funds for the Central Universities (Grant No.HIT.NSRIF.2019058) and the Natural Science Foundation of Heilongjiang Province of China (No. G2018006). L. Wang:The research of this author is partially supported by Singapore MOE AcRF Tier 2 Grants (MOE2017-T2-2-014 and MOE2018-T2-1-059). S. Xiang:This work of this author is partially supported by National Science Foundation of China (No. 11371376) and the Innovation-Driven Project and Mathematics.

Abstract

In this paper, we introduce new non-polynomial basis functions for spectral approximation of time-fractional partial diferential equations (PDEs). Diferent from many other approaches, the nonstandard singular basis functions are defned from some generalised Birkhof interpolation problems through explicit inversion of some prototypical fractional initial value problem (FIVP) with a smooth source term. As such, the singularity of the new basis can be tailored to that of the singular solutions to a class of time-fractional PDEs, leading to spectrally accurate approximation. It also provides the acceptable solution to more general singular problems.

Cite this article

Wenjie Liu, Li-Lian Wang, Shuhuang Xiang . A New Spectral Method Using Nonstandard Singular Basis Functions for Time-Fractional Diferential Equations[J]. Communications on Applied Mathematics and Computation, 2019 , 1(2) : 207 -230 . DOI: 10.1007/s42967-019-00012-1

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