IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i1p140-d1558710.html
   My bibliography  Save this article

New Analytical Formulas for the Rank of Farey Fractions and Estimates of the Local Discrepancy

Author

Listed:
  • Rogelio Tomás García

    (CERN, Esplanade des Particules 1, 1211 Meyrin, Switzerland)

Abstract

New analytical formulas are derived for the rank and the local discrepancy of Farey fractions. The new rank formula is applicable to all Farey fractions and involves sums of a lower order compared to the searched one. This serves to establish a new unconditional estimate for the local discrepancy of Farey fractions that decrease with the order of the Farey sequence. This estimate improves the currently known estimates. A new recursive expression for the local discrepancy of Farey fractions is also given. A second new unconditional estimate of the local discrepancy of any Farey fraction is derived from a sum of the Mertens function, again, improving the currently known estimates.

Suggested Citation

  • Rogelio Tomás García, 2025. "New Analytical Formulas for the Rank of Farey Fractions and Estimates of the Local Discrepancy," Mathematics, MDPI, vol. 13(1), pages 1-12, January.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:1:p:140-:d:1558710
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/1/140/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/13/1/140/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Farey sequence; Riemann Hypothesis;

    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:gam:jmathe:v:13:y:2025:i:1:p:140-:d:1558710. 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.