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https://hdl.handle.net/10356/160560
Title: | Optimal error estimates for Legendre expansions of singular functions with fractional derivatives of bounded variation | Authors: | Liu, Wenjie Wang, Li-Lian Wu, Boying |
Keywords: | Science::Mathematics | Issue Date: | 2021 | Source: | Liu, W., Wang, L. & Wu, B. (2021). Optimal error estimates for Legendre expansions of singular functions with fractional derivatives of bounded variation. Advances in Computational Mathematics, 47(6), 79-. https://dx.doi.org/10.1007/s10444-021-09905-3 | Project: | MOE2018-T2-1-059 RG15/21 |
Journal: | Advances in Computational Mathematics | Abstract: | We present a new fractional Taylor formula for singular functions whose Caputo fractional derivatives are of bounded variation. It bridges and “interpolates” the usual Taylor formulas with two consecutive integer orders. This enables us to obtain an analogous formula for the Legendre expansion coefficient of this type of singular functions, and further derive the optimal (weighted) L∞-estimates and L2-estimates of the Legendre polynomial approximations. This set of results can enrich the existing theory for p and hp methods for singular problems, and answer some open questions posed in some recent literature. | URI: | https://hdl.handle.net/10356/160560 | ISSN: | 1019-7168 | DOI: | 10.1007/s10444-021-09905-3 | Schools: | School of Physical and Mathematical Sciences | Rights: | © 2021 The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | SPMS Journal Articles |
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