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Exact barycentric rational interpolation of analytic functions with an application to the Bessel functions
Abstract
We derive a method of analytic function expansion using barycentric rational interpolation, in which an arbitrary analytic weight function defines the interpolation and nodes. Truncating these expansions yields successive approximations, and the derivation of the expansions gives the approximation error as a byproduct. We demonstrate the method with cosine and the Bessel functions of the first kind for several choices of weight functions, and we examine the accuracy and convergence of the approximate interpolations as a function of the weight and the number of nodes used in the interpolation.
Related
- ROOT ISOLATION FOR ANALYTIC FUNCTIONS USING CUBIC HERMITE INTERPOLATION.
- Rational barycentric coordinates and low degree adjoints
- Interpolation by Rational ΓE(3; 3; 1, 1, 1)-Inner Function and Rational ΓE(3; 2; 1, 2)-Inner Function
- Rational analytic prismatization
- Analytic Construction of Rational Curves on Fano Manifolds
BibTeX
@misc{green2026exact,
title = {{Exact barycentric rational interpolation of analytic functions with an application to the Bessel functions}},
author = {Brett R. Green},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.39805},
eprint = {2609.39805},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.39805},
}
RIS
TY - UNPB
TI - Exact barycentric rational interpolation of analytic functions with an application to the Bessel functions
AU - Brett R. Green
PY - 2026
DA - 2026/09/30
PB - arXiv
DO - 10.48550/arxiv.2609.39805
UR - https://arxiv.org/abs/2609.39805
AB - We derive a method of analytic function expansion using barycentric rational interpolation, in which an arbitrary analytic weight function defines the interpolation and nodes. Truncating these expansions yields successive approximations, and the derivation of the expansions gives the approximation error as a byproduct. We demonstrate the method with cosine and the Bessel functions of the first kind for several choices of weight functions, and we examine the accuracy and convergence of the approximate interpolations as a function of the weight and the number of nodes used in the interpolation.
ER -