IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i6p961-d773264.html
   My bibliography  Save this article

New Operated Polynomial Identities and Gröbner-Shirshov Bases

Author

Listed:
  • Jinwei Wang

    (School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Zhicheng Zhu

    (School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, China)

  • Xing Gao

    (School of Mathematics and Statistics, Key Laboratory of Applied Mathematics and Complex Systems, Lanzhou University, Lanzhou 730000, China)

Abstract

Twenty years ago, Rota posed the problem of finding all possible algebraic identities that can be satisfied by a linear operator on an algebra, named Rota’s Classification Problem later. Rota’s Classification Problem has proceeded two steps to understand it and has been studied actively recently. In particular, the method of Gröbner-Shirshov bases has been used successfully in the study of Rota’s Classification Problem. Quite recently, a new approach introduced to Rota’s Classification Problem and classified some (new) operated polynomial identities. In this paper, we prove that all operated polynomial identities classified via this new approach are Gröbner-Shirshov. This gives a partial answer of Rota’s Classification Problem.

Suggested Citation

  • Jinwei Wang & Zhicheng Zhu & Xing Gao, 2022. "New Operated Polynomial Identities and Gröbner-Shirshov Bases," Mathematics, MDPI, vol. 10(6), pages 1-15, March.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:6:p:961-:d:773264
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/6/961/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/6/961/
    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:10:y:2022:i:6:p:961-:d:773264. 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.