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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.78.

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Generalized Jacobi functions and their applications to fractional differential equations
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by Sheng Chen, Jie Shen and Li-Lian Wang PDF
Math. Comp. 85 (2016), 1603-1638 Request permission

Abstract:

In this paper, we consider spectral approximation of fractional differential equations (FDEs). A main ingredient of our approach is to define a new class of generalized Jacobi functions (GJFs), which is intrinsically related to fractional calculus and can serve as natural basis functions for properly designed spectral methods for FDEs. We establish spectral approximation results for these GJFs in weighted Sobolev spaces involving fractional derivatives. We construct efficient GJF-Petrov-Galerkin methods for a class of prototypical fractional initial value problems (FIVPs) and fractional boundary value problems (FBVPs) of general order, and we show that with an appropriate choice of the parameters in GJFs, the resulting linear systems are sparse and well-conditioned. Moreover, we derive error estimates with convergence rates only depending on the smoothness of data, so true spectral accuracy can be attained if the data are smooth enough. The ideas and results presented in this paper will be useful in dealing with more general FDEs involving Riemann-Liouville or Caputo fractional derivatives.
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Additional Information
  • Sheng Chen
  • Affiliation: School of Mathematical Sciences and Fujian Provincial Key Laboratory on Mathematical Modeling and High Performance Scientific Computing, Xiamen University, Xiamen, Fujian 361005, People’s Republic of China
  • Jie Shen
  • Affiliation: School of Mathematical Sciences and Fujian Provincial Key Laboratory on Mathematical Modeling and High Performance Scientific Computing, Xiamen University, Xiamen, Fujian 361005, People’s Republic of China – and Department of Mathematics, Purdue University, West Lafayette, IN 47907-1957
  • MR Author ID: 257933
  • ORCID: 0000-0002-4885-5732
  • Li-Lian Wang
  • Affiliation: Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, 637371, Singapore
  • MR Author ID: 681795
  • Received by editor(s): July 30, 2014
  • Received by editor(s) in revised form: December 26, 2014, and January 4, 2015
  • Published electronically: October 1, 2015
  • Additional Notes: The first author was partially supported by NSFC grants 91130002 and 11371298.
    The second author was partially supported by AFOSR grant FA9550-11-1-0328 and NSF grant DMS-1217066.
    The third author was partially supported by Singapore MOE AcRF Tier 1 Grant (RG 15/12), Singapore MOE AcRF Tier 2 Grant (MOE 2013-T2-1-095, ARC 44/13) and Singapore A$^\ast$STAR-SERC-PSF Grant (122-PSF-007)
  • © Copyright 2015 American Mathematical Society
  • Journal: Math. Comp. 85 (2016), 1603-1638
  • MSC (2010): Primary 65N35, 65E05, 65M70, 41A05, 41A10, 41A25
  • DOI: https://doi.org/10.1090/mcom3035
  • MathSciNet review: 3471102