IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-88044-5_5.html
   My bibliography  Save this book chapter

Differentiation

In: Real and Abstract Analysis

Author

Listed:
  • Edwin Hewitt

    (The University of Washington)

  • Karl Stromberg

    (The University of Oregon)

Abstract

This chapter contains first a brief but reasonably complete treatment of the theory of differentiation for complex-valued functions defined on intervals of the line. Section 17 is severely classical, containing examples and Lebesgue’s famous theorem on differentiation of functions of finite variation. In § 18, we explore the conditions under which the classical equality $$f(b) - f(a) = \int\limits_a^b {f'(t) \ dt}$$ is valid. This exploration leads to interesting and perhaps unexpected measure-theoretic ideas, which have little to do with differentiation and which have applications in extraordinarily diverse fields. The main result in this direction is the Lebesgue-Radon-Nikodým theorem, which we examine thoroughly in § 19 and apply to the decomposition of measures on R. In § 20, we present several other applications of the Lebesgue-Radon-Nikodým theorem to problems in abstract analysis. Sections 17 and 18 are important, and should be studied by all readers. The same is true of § 19, up to and including (19.24). The remainder of § 19 may be omitted by readers pressed for time. Of § 20, (20.1)–(20.5) and (20.41)–(20.52) are topics important for every student. The remainder of § 20 is in our opinion interesting but less vital, and it too may be omitted by readers pressed for time.

Suggested Citation

  • Edwin Hewitt & Karl Stromberg, 1965. "Differentiation," Springer Books, in: Real and Abstract Analysis, chapter 0, pages 256-376, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-88044-5_5
    DOI: 10.1007/978-3-642-88044-5_5
    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:978-3-642-88044-5_5. 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.