IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-60622-0_23.html
   My bibliography  Save this book chapter

Analysis of Apostol-Type Numbers and Polynomials with Their Approximations and Asymptotic Behavior

In: Approximation Theory and Analytic Inequalities

Author

Listed:
  • Yilmaz Simsek

    (University of Akdeniz, Faculty of Science, Department of Mathematics)

Abstract

In this chapter, using the methods and techniques of approximation of some classical polynomials and numbers including the Apostol–Bernoulli numbers and polynomials, we survey and investigate various properties of the Boole type combinatorial numbers and polynomials. By applying the p-adic q-integrals including the bosonic and fermionic p-adic integrals on p-adic integers, we study on generating functions for the generalized Boole type combinatorial numbers and polynomials attached to the Dirichlet character. These numbers and polynomials are related to the generalized Apostol–Bernoulli numbers and polynomials, the generalized Apostol–Euler numbers and polynomials, generalized Apostol–Daehee numbers and polynomials, and also generalized Apostol–Changhee numbers and polynomials. With the help of these generating functions, PDEs and their functional equation, many formulas, identities and relations involving the generalized Apostol–Daehee and Apostol–Changhee numbers and polynomials, the Stirling numbers, the Bernoulli numbers of the second kind, the generalized Bernoulli numbers and the generalized Euler numbers, and the Frobenius–Euler polynomials are given. Finally, by using asymptotic estimates for the Apostol–Bernoulli polynomials, asymptotic estimates for Boole type combinatorial numbers and polynomials are given.

Suggested Citation

  • Yilmaz Simsek, 2021. "Analysis of Apostol-Type Numbers and Polynomials with Their Approximations and Asymptotic Behavior," Springer Books, in: Themistocles M. Rassias (ed.), Approximation Theory and Analytic Inequalities, pages 435-486, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-60622-0_23
    DOI: 10.1007/978-3-030-60622-0_23
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-60622-0_23. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.