Symmetry, Integrability and Geometry: Methods and Applications
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



SIGMA:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Symmetry, Integrability and Geometry: Methods and Applications, 2024, Volume 20, 074, 13 pp.
DOI: https://doi.org/10.3842/SIGMA.2024.074
(Mi sigma2076)
 

Asymptotics of the Humbert Function $\Psi_1$ for Two Large Arguments

Peng-Cheng Hang, Min-Jie Luo

Department of Mathematics, School of Mathematics and Statistics, Donghua University, Shanghai 201620, P.R. China
References:
Abstract: Recently, Wald and Henkel (2018) derived the leading-order estimate of the Humbert functions $\Phi_2$, $\Phi_3$ and $\Xi_2$ for two large arguments, but their technique cannot handle the Humbert function $\Psi_1$. In this paper, we establish the leading asymptotic behavior of the Humbert function $\Psi_1$ for two large arguments. Our proof is based on a connection formula of the Gauss hypergeometric function and Nagel's approach (2004). This approach is also applied to deduce asymptotic expansions of the generalized hypergeometric function $_pF_q$ $(p\leqslant q)$ for large parameters, which are not contained in NIST handbook.
Keywords: Humbert function, asymptotics, generalized hypergeometric function.
Received: March 27, 2024; in final form August 2, 2024; Published online August 9, 2024
Document Type: Article
Language: English
Citation: Peng-Cheng Hang, Min-Jie Luo, “Asymptotics of the Humbert Function $\Psi_1$ for Two Large Arguments”, SIGMA, 20 (2024), 074, 13 pp.
Citation in format AMSBIB
\Bibitem{HanLuo24}
\by Peng-Cheng~Hang, Min-Jie~Luo
\paper Asymptotics of the Humbert Function $\Psi_1$ for Two Large Arguments
\jour SIGMA
\yr 2024
\vol 20
\papernumber 074
\totalpages 13
\mathnet{http://mi.mathnet.ru/sigma2076}
\crossref{https://doi.org/10.3842/SIGMA.2024.074}
Linking options:
  • https://www.mathnet.ru/eng/sigma2076
  • https://www.mathnet.ru/eng/sigma/v20/p74
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Symmetry, Integrability and Geometry: Methods and Applications
    Statistics & downloads:
    Abstract page:17
    Full-text PDF :4
    References:12
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024