IDEAS home Printed from https://ideas.repec.org/h/spr/sptchp/978-3-032-08812-3_16.html

Homogeneous Functions

In: Economic Analysis Through Mathematics

Author

Listed:
  • Zrinka Lukač

    (University of Zagreb, Faculty of Economics & Business)

Abstract

In this chapter we consider homogeneous functions. Functions with this property play an important role in economic theory. Thus, in standard economic models, profit functions and cost functions derived from production functions are naturally homogeneous functions, and the same is true for demand functions derived from utility functions. Furthermore, while differential calculus and the notion of the partial derivative allow us to establish a connection between the change in only one independent variable and the resulting change in the functional value, with all the other variables unchanged, for homogeneous functions we can estimate what happens to the functional value if values of all variables simultaneously change by the same percentage. In the case of homogeneous production functions, this leads to the concepts of increasing, decreasing and constant returns to scale. We also present some basic properties of homogeneous functions as well as present the very important Euler’s theorem. Finally, we introduce the notion of partial elasticity, which shows how strongly a function of n variables y = f ( x 1 , x 2 … , x n ) $$y=f(x_{1}, x_{2}\ldots ,x_{n})$$ reacts to a change in the variable x i $$x_{i}$$ , assuming that the value of all the other variables is held constant. We show how elasticity is applied to a demand function to obtain the (own) price and cross price elasticity of demand, which enable us to determine if goods are substitutes or complements.

Suggested Citation

  • Zrinka Lukač, 2026. "Homogeneous Functions," Springer Texts in Business and Economics, in: Economic Analysis Through Mathematics, chapter 16, pages 383-404, Springer.
  • Handle: RePEc:spr:sptchp:978-3-032-08812-3_16
    DOI: 10.1007/978-3-032-08812-3_16
    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:sptchp:978-3-032-08812-3_16. 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.