IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i19p3087-d1491097.html
   My bibliography  Save this article

Uncovering Hidden Patterns: Approximate Resurgent Resummation from Truncated Series

Author

Listed:
  • Alessio Maiezza

    (Dipartimento di Scienze Fisiche e Chimiche, Università degli Studi dell’Aquila, via Vetoio, 67100 L’Aquila, Italy
    Laboratori Nazionali del Gran Sasso, Istituto Nazionale di Fisica Nucleare (INFN), Assergi, 67010 L’Aquila, Italy
    These authors contributed equally to this work.)

  • Juan Carlos Vasquez

    (Department of Physics and Astronomy, Amherst College, Amherst, MA 01002, USA
    These authors contributed equally to this work.)

Abstract

We analyze truncated series generated as divergent formal solutions of non-linear ordinary differential equations. Motivating the study is a specific non-linear, first-order differential equation, which is the basis of the resurgent formulation of renormalized perturbation theory in quantum field theory. We use the Borel–Padé approximant and classical analysis to determine the analytic structure of the solution using the first few terms of its asymptotic series. Afterward, we build an approximant, consistent with the resurgent properties of the equation. The procedure gives an approximate expression for the Borel–Ecalle resummation of the solution useful for practical applications. Connections with other physical applications are also discussed.

Suggested Citation

  • Alessio Maiezza & Juan Carlos Vasquez, 2024. "Uncovering Hidden Patterns: Approximate Resurgent Resummation from Truncated Series," Mathematics, MDPI, vol. 12(19), pages 1-18, October.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:19:p:3087-:d:1491097
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/19/3087/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/19/3087/
    Download Restriction: no
    ---><---

    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:gam:jmathe:v:12:y:2024:i:19:p:3087-:d:1491097. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.