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.
Authors
- M. A. Bezuglov (ORCID: https://orcid.org/0000-0003-0435-9419)
- Bernd A. Kniehl (ORCID: https://orcid.org/0000-0002-0987-8237)
- A. I. Onishchenko (ORCID: https://orcid.org/0000-0002-6734-3150)
- O.L. Veretin
Institutions
- Universität Hamburg (DE)
- Joint Institute for Nuclear Research (RU)
- Budker Institute of Nuclear Physics (RU)
- University of Regensburg (DE)
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
Funders
- Deutsche Forschungsgemeinschaft
- Russian Science Foundation