Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A generating function for certain coefficients involving several complex variables.

H M Srivastava1

  • 1DEPARTMENT OF MATHEMATICS, UNIVERSITY OF VICTORIA, VICTORIA, BRITISH COLUMBIA, CANADA.

Proceedings of the National Academy of Sciences of the United States of America
|October 1, 1970
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Fractional-calculus analysis of the transmission dynamics of the dengue infection.

Chaos (Woodbury, N.Y.)·2021
Same author

Power-series solution of compartmental epidemiological models.

Mathematical biosciences and engineering : MBE·2021
Same author

Numerical simulation and stability analysis for the fractional-order dynamics of COVID-19.

Results in physics·2021
Same author

Some new and modified fractional analysis of the time-fractional Drinfeld-Sokolov-Wilson system.

Chaos (Woodbury, N.Y.)·2020
Same author

Some new mathematical models of the fractional-order system of human immune against IAV infection.

Mathematical biosciences and engineering : MBE·2020
Same author

An efficient spectral collocation method for the dynamic simulation of the fractional epidemiological model of the Ebola virus.

Chaos, solitons, and fractals·2020
Same journal

Chemotactic self-organization captures the dynamics of mammalian hair follicle patterning.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Tomographic imaging of superconducting order using particle-hole interference.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inhibitory potential of autologous neutralizing antibodies sets quantitative limits on the rebound-competent HIV-1 reservoir.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inferring epidemiological parameters under an infectious phylogeography model with visitor dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Analytical modeling for suction cup designs for skin-interfaced wearable devices.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Improving cell-free metabolism through direct integration of artificial respiratory chains.

Proceedings of the National Academy of Sciences of the United States of America·2026
See all related articles

Researchers unified generating functions for generalized hypergeometric polynomials using Lagrange

Area of Science:

  • Mathematics
  • Special Functions
  • Polynomials

Background:

  • Generalized hypergeometric polynomials are crucial in various mathematical fields.
  • Existing generating functions lack a unified framework, necessitating new approaches.

Purpose of the Study:

  • To unify diverse generating functions for generalized hypergeometric polynomials.
  • To establish a general generating relation for n-dimensional polynomials with arbitrary coefficients.

Main Methods:

  • Application of Lagrange's expansion formula.
  • Specialization of polynomial coefficients.

Main Results:

  • A novel generating relation for n-dimensional polynomials with arbitrary coefficients was proven.

Related Experiment Videos

  • The generalized Lauricella function was identified as a specific case, serving as a generating function for multivariate hypergeometric polynomials.
  • Conclusions:

    • The study successfully unifies generating functions for generalized hypergeometric polynomials.
    • The established framework provides a versatile tool for analyzing and deriving new results in the field of special functions and polynomials.