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Introduction to Convex and Quasiconvex Analysis

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Author Info
Frenk, J.B.G.
Kassay, G. (Erasmus Research Institute of Management (ERIM), RSM Erasmus University)
Abstract

In the first chapter of this book the basic results within convex and quasiconvex analysis are presented. In Section 2 we consider in detail the algebraic and topological properties of convex sets within Rn together with their primal and dual representations. In Section 3 we apply the results for convex sets to convex and quasiconvex functions and show how these results can be used to give primal and dual representations of the functions considered in this field. As such, most of the results are well-known with the exception of Subsection 3.4 dealing with dual representations of quasiconvex functions. In Section 3 we consider applications of convex analysis to noncooperative game and minimax theory, Lagrangian duality in optimization and the properties of positively homogeneous evenly quasiconvex functions. Among these result an elementary proof of the well-known Sion’s minimax theorem concerningquasiconvex-quasiconcave bifunctions is presented, thereby avoiding the less elementary fixed point arguments. Most of the results are proved in detail and the authors have tried to make these proofs as transparent as possible. Remember that convex analysis deals with the study of convex cones and convex sets and these objects are generalizations of linear subspaces and affine sets, thereby extending the field of linear algebra. Although some of the proofs are technical, it is possible to give a clear geometrical interpretation of the main ideas of convex analysis. Finally in Section 5 we list a short and probably incomplete overview on the history of convex and quasiconvex analysis.

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Paper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. in its series Research Paper with number ERS-2004-075-LIS Revision_Date: 2009-07-29.

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Date of creation: 17 Sep 2004
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Handle: RePEc:dgr:eureri:30001748

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Keywords: convex analysis; quasiconvex analysis; noncooperative games; minimax theorems; optimization theory; lagrangian dual; optimalisatie;

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Frenk, J.B.G. & Kassay, G. & Protassov, V., 2002. "On Borel Probability Measures and Noncooperative Game Theory," Research Paper ERS-2002-85-LIS Revision_, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  2. J.B.G. Frenk & G. Kassay & V. Protassov, 2002. "On Borel probability measures and noncooperative game theory," Econometric Institute Report 284, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
  3. J.B.G. Frenk & G. Kassay & V. Protassov, 2002. "On Borel Probability Measures and Noncooperative Game Theory," Tinbergen Institute Discussion Papers 02-093/4, Tinbergen Institute. [Downloadable!]
  4. Frenk, J. B. G. & Kassay, G. & Kolumban, J., 2004. "On equivalent results in minimax theory," European Journal of Operational Research, Elsevier, vol. 157(1), pages 46-58, August. [Downloadable!] (restricted)
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  1. Frenk, J.B.G. & Still, G.J., 2005. "A Note on the Dual of an Unconstrained (Generalized) Geometric Programming Problem," Research Paper ERS-2005-006-LIS Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
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