IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i10p2324-d1148397.html
   My bibliography  Save this article

The Newton–Puiseux Algorithm and Triple Points for Plane Curves

Author

Listed:
  • Stefano Canino

    (Dipartimento di Scienze Matematiche, Politecnico di Torino, 10129 Torino, Italy)

  • Alessandro Gimigliano

    (Dipartimento di Matematica, Università di Bologna, 40126 Bologna, Italy)

  • Monica Idà

    (Dipartimento di Matematica, Università di Bologna, 40126 Bologna, Italy)

Abstract

The paper is an introduction to the use of the classical Newton–Puiseux procedure, oriented towards an algorithmic description of it. This procedure allows to obtain polynomial approximations for parameterizations of branches of an algebraic plane curve at a singular point. We look for an approach that can be easily grasped and is almost self-contained. We illustrate the use of the algorithm first in a completely worked out example of a curve with a point of multiplicity 6, and secondly, in the study of triple points on reduced plane curves.

Suggested Citation

  • Stefano Canino & Alessandro Gimigliano & Monica Idà, 2023. "The Newton–Puiseux Algorithm and Triple Points for Plane Curves," Mathematics, MDPI, vol. 11(10), pages 1-31, May.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:10:p:2324-:d:1148397
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/10/2324/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/10/2324/
    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:11:y:2023:i:10:p:2324-:d:1148397. 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.