High-precision numerical evaluation of Lauricella functions

We present a method for high-precision numerical evaluations of Lauricella functions whose indices are linearly dependent on some parameter ε in terms of their Laurent series expansions at zero. This method is based on finding analytic continuations of these functions in terms of Frobenius generalized power series. Being one-dimensional, these series are much more suited for high-precision numerical evaluations than multi-dimensional sums arising in approaches to analytic continuations based on re-expansions of hypergeometric series or Mellin–Barnes integral representations. To accelerate the calculation procedure further, the ε dependence of the result is reconstructed from the evaluations of given Lauricella functions at specific numerical values of ε , which, in addition, allows for efficient parallel implementation. The method has been implemented in the PrecisionLauricella package, written in Wolfram Mathematica language.

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Publication Details

Journal
Nuclear Physics B
Published
2025-06-27
DOI
https://doi.org/10.1016/j.nuclphysb.2025.116994
Citations
3
Primary Topic
Mathematical functions and polynomials
Type
article
Field-Weighted Citation Impact
11.18

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article

High-precision numerical evaluation of Lauricella functions

M. A. Bezuglov, Bernd A. Kniehl, A. I. Onishchenko, O.L. Veretin
3 citations
Nuclear Physics B
Mathematical functions and polynomials
11.18
article

High-precision numerical evaluation of Lauricella functions

M. A. Bezuglov, Bernd A. Kniehl, A. I. Onishchenko, O.L. Veretin
article en
3 citations

Abstract

We present a method for high-precision numerical evaluations of Lauricella functions whose indices are linearly dependent on some parameter ε in terms of their Laurent series expansions at zero. This method is based on finding analytic continuations of these functions in terms of Frobenius generalized power series. Being one-dimensional, these series are much more suited for high-precision numerical evaluations than multi-dimensional sums arising in approaches to analytic continuations based on re-expansions of hypergeometric series or Mellin–Barnes integral representations. To accelerate the calculation procedure further, the ε dependence of the result is reconstructed from the evaluations of given Lauricella functions at specific numerical values of ε , which, in addition, allows for efficient parallel implementation. The method has been implemented in the PrecisionLauricella package, written in Wolfram Mathematica language.

Nuclear Physics BVol. 1018
Universität Hamburg (DE), Joint Institute for Nuclear Research (RU), Budker Institute of Nuclear Physics (RU), University of Regensburg (DE)
Deutsche Forschungsgemeinschaft, Russian Science Foundation
Openalex Percentile: Top 2%
Mathematical functions and polynomials
11.18
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High-precision numerical evaluation of Lauricella functions — M. A. Bezuglov, Bernd A. Kniehl, et al. · Nuclear Physics B (2025) | TGRS Research Map | TGRS