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Bezuglov, M. A. ; Kniehl, B. A. ; Onishchenko, A. I. ; Veretin, O. L.

High-precision numerical evaluation of Lauricella functions

Bezuglov, M. A. , Kniehl, B. A., Onishchenko, A. I. and Veretin, O. L. (2025) High-precision numerical evaluation of Lauricella functions. Nuclear Physics B 1018, p. 116994.

Date of publication of this fulltext: 15 Apr 2026 11:28
Article
DOI to cite this document: 10.5283/epub.79044


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 ...

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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Details

Item typeArticle
Journal or Publication TitleNuclear Physics B
Publisher:Elsevier
Open Access Type:SCOAP3
Volume:1018
Page Range:p. 116994
Date27 June 2025
InstitutionsPhysics > Institute of Theroretical Physics
Identification Number
ValueType
10.1016/j.nuclphysb.2025.116994DOI
KeywordsHypergeometric functions of many variables, Lauricella functions, High-precision numerical evaluation, Analytic continuation
Dewey Decimal Classification500 Science > 530 Physics
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgPartially
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-790446
Item ID79044

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