IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-1-4614-3498-6_39.html
   My bibliography  Save this book chapter

The Hyers–Ulam and Hahn–Banach Theorems and Some Elementary Operations on Relations Motivated by Their Set-Valued Generalizations

In: Nonlinear Analysis

Author

Listed:
  • Árpád Száz

    (University of Debrecen)

Abstract

In the first part of this paper, we provide several historical facts on the famous Hyers–Ulam stability theorems, Hahn–Banach extension theorems, and their set-valued generalizations with numerous references. These generalizations will clearly show that the essence of the above mentioned theorems is nothing but the statement of the existence of a certain homogeneous, additive, or linear selection function of a particular relation. In the second part of this paper, motivated by the above generalizations, we briefly review the most basic additivity and homogeneity properties of relations and investigate, in greater detail, some elementary operations on relations. More concretely, for any relation F on one group X to another Y, we define two relations −F and $\check{F}$ on X to Y such that $\check{F}(x)=F(-x)$ and (−F)(x)=−F(x) for all x∈X. Moreover, we also define $\hat{F}=-\check{F}$ and $F^{\vartriangle}= F\cap\hat{F}$ . Furthermore, if in particular Y is a vector space over ℚ, then for any k∈ℤ, with k≠0, we also define a relation F k on X to Y such that F k (x)=k −1 F(kx) for all x∈X. Moreover, we also define $F^{\star}=\bigcap_{ n=1}^{\infty} F_{n}$ and $F^{\ast}=F^{\vartriangle\star}$ . The above operations and the intersection convolutions of relations, which can only be sketched here, will certainly allow of instructive treatments of some hoped-for common relational generalizations of the Hyers–Ulam and Hahn–Banach theorems.

Suggested Citation

  • Árpád Száz, 2012. "The Hyers–Ulam and Hahn–Banach Theorems and Some Elementary Operations on Relations Motivated by Their Set-Valued Generalizations," Springer Optimization and Its Applications, in: Panos M. Pardalos & Pando G. Georgiev & Hari M. Srivastava (ed.), Nonlinear Analysis, edition 127, chapter 0, pages 631-705, Springer.
  • Handle: RePEc:spr:spochp:978-1-4614-3498-6_39
    DOI: 10.1007/978-1-4614-3498-6_39
    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.

    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:978-1-4614-3498-6_39. 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.