IDEAS home Printed from https://ideas.repec.org/p/ins/quaeco/qf0211.html
   My bibliography  Save this paper

Existence of solutions and star-shapedness in Minty variational inequalities

Author

Listed:
  • Crespi Giovanni

    (Department of Economics, University of Insubria, Italy)

  • Ginchev Ivan

    (Department of Mathematics, Technical University of Varna, Bulgaria)

  • Rocca Matteo

    (Department of Economics, University of Insubria, Italy)

Abstract

Minty variational inequalities have proven to define a stronger notion of equilibrium than Stampacchia variational inequalities. This conclusion leads to argue that some regularity, e.g. convexity or generalized convexity, has to be implicit for any function that admits a solution of the corresponding integrable Minty variational inequality. Quasi-convexity arises almost naturally when functions of one variable are involved. However some differences appear when considering functions of several variables. In this case we show that existence of a solution does not necessarily imply quasi-convexity of the function and instead we prove that the level sets of the function must be star-shaped at a point which is a solution of the Minty variational inequality.

Suggested Citation

  • Crespi Giovanni & Ginchev Ivan & Rocca Matteo, 2002. "Existence of solutions and star-shapedness in Minty variational inequalities," Economics and Quantitative Methods qf0211, Department of Economics, University of Insubria.
  • Handle: RePEc:ins:quaeco:qf0211
    as

    Download full text from publisher

    File URL: https://www.eco.uninsubria.it/RePEc/pdf/QF2002_21.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Minty variational inequality; generalized convexity; star-shaped sets; existence of solutions;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    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:ins:quaeco:qf0211. 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: Segreteria Dipartimento (email available below). General contact details of provider: https://edirc.repec.org/data/feinsit.html .

    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.