Please use this identifier to cite or link to this item: 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

SCOPUSTM   
Citations 50

3
Updated on May 30, 2023

Web of ScienceTM
Citations 50

3
Updated on Jun 1, 2023

Page view(s)

27
Updated on Jun 6, 2023

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.