IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-81-322-3676-4_24.html
   My bibliography  Save this book chapter

Statistical Methods in Number Theory

In: D.D. Kosambi

Author

Listed:
  • D. D. Kosambi

Abstract

Although no longer affiliated with the TIFR, DDK persisted in his prime obsession, repeating and refining the basic arguments set forth in his earlier papers. The Hungarian mathematician A. Rényi reviewed this paper in Mathematical Reviews and noted that “Neither in this paper nor in his previous paper did the author succeed in proving his hypothesis, nor in deducing from it the Riemann hypothesis.” The “Kosambi hypothesis” (see the discussion on pages 7–9) is, according to Rényi “even more difficult than the problem of the validity of the Riemann hypothesis. As a matter of fact, no obvious method exists to prove the author’s hypothesis even under the assumption of the Riemann hypothesis.” Theorem 1 of this paper, therefore, is not proven.

Suggested Citation

  • D. D. Kosambi, 2016. "Statistical Methods in Number Theory," Springer Books, in: Ramakrishna Ramaswamy (ed.), D.D. Kosambi, chapter 0, pages 197-205, Springer.
    • Handle: RePEc:spr:sprchp:978-81-322-3676-4_24
    DOI: 10.1007/978-81-322-3676-4_24
    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:978-81-322-3676-4_24. 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.