Pointwise error estimate of the Legendre expansion: The known and unknown features

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

  • Univ Texas Austin, University of Texas System, University of Texas Austin, Inst Computat Engn & Sci

Abstract

Error estimation for the pointwise error of partial expansion of the Legendre series of a given function is a classical problem. Asymptotic error estimates exist expressed by the modulus of continuity of the given function, for functions of bounded variation, and for both analytic and piecewise analytic functions. These estimates are all asymptotic in the sense that the order of the partial expansion tends to infinity. It is interesting that in spite of many attempts the estimates are not optimal. This fact is demonstrated here, and the optimal estimate for the piecewise analytic functions is formulated as a hypothesis, which in turn is validated computationally. Further, in most applications the polynomial orders are relatively small compared to those in the asymptotic range. The existing theory does not address the behaviour of the preasymptotic error. Inherent difficulties addressing this question are discussed and illustrated here. (C) 2018 Elsevier B.V. All rights reserved.

Details

Original languageEnglish
Pages (from-to)748-773
Number of pages26
JournalComputer Methods in Applied Mechanics and Engineering
Volume345
Publication statusPublished - 1 Mar 2019
MoE publication typeA1 Journal article-refereed

    Research areas

  • p-version, Legendre polynomial, Pointwise convergence, CONVERGENCE

ID: 38726888