IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-031-85743-0_7.html
   My bibliography  Save this book chapter

Classical Karamata Theory of Regular Variability and the Index Function Operator

Author

Listed:
  • Danica Fatić

    (University of Kragujevac)

  • Dragan Djurčić

    (University of Kragujevac)

Abstract

In this chapter, we will study some characteristics of the functional transformation K, which maps the class of O-regularly varying functions (see Bingham et al. Regular Variation, 1987) into the class of positive functions on the interval ( 0 , + ∞ ) $$(0,+\infty )$$ defined by K ( f ) = k f , $$\displaystyle K(f)=k_f, $$ where k f ( λ ) = lim sup x → + ∞ f ( λx ) f ( x ) $$\displaystyle k_f(\lambda )=\limsup _{x\to +\infty } \frac {f(\lambda x)}{f(x)}$$ , λ ∈ ( 0 , + ∞ ) $$\lambda \in (0,+ \infty )$$ , and the function f belongs to the class of O-regularly varying functions in the sense of Karamata (see Aljančić and Arandjelović, Publ Inst Math (Beograd) 22(36):5–22, 1977). We will also study some properties of that operator K if its domain is the class of O-regularly varying sequences in the sense of Karamata, given by K ( c ) = k c , $$\displaystyle K(c)=k_c, $$ where k c ( λ ) = lim sup n → + ∞ c [ λn ] c n $$\displaystyle k_c(\lambda )=\limsup _{n\to +\infty } \frac {c_{[\lambda n]}}{c_n}$$ , λ ∈ ( 0 , + ∞ ) $$\lambda \in (0, +\infty )$$ , and sequence c = ( c n ) ∈ OR V c $$c=(c_n)\in ORV_c$$ (Djurčić et al., On theorems of Galambos-Bojanić-Seneta type, 2022).

Suggested Citation

  • Danica Fatić & Dragan Djurčić, 2025. "Classical Karamata Theory of Regular Variability and the Index Function Operator," Springer Optimization and Its Applications,, Springer.
  • Handle: RePEc:spr:spochp:978-3-031-85743-0_7
    DOI: 10.1007/978-3-031-85743-0_7
    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 search for a similarly titled item that would be available.

    More about this item

    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:spochp:978-3-031-85743-0_7. 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.