Convex Programming Based on Hahn-Banach Theorem

  • Manuel Alberto M. Ferreira ISTAR-IUL - Information Sciences, Technologies and Architecture Research Center (ISTA), Portugal.
Keywords: Hahn-Banach theorem, separation theorems, convex programming, Kuhn-Tucker theorem, minimax theorem

Abstract

The main objective of this chapter is to present the separation theorems, important consequences of Hahn-Theorem theorem. Therefore, we begin with an overview on convex sets and convex functionals. Then go on with the Hahn-Banach theorem and separation theorems. Follow these results specification: first for normed spaces and then for a subclass of these spaces, the Hilbert spaces. In this last case plays a key role the Riesz representation theorem. Separation theorems are key results in convex programming. Then the chapter ends with the outline of applications of these results in convex programming, Kuhn-Tucker theorem, and in minimax theorem, two important tools in operations research, management and economics, for instance.

Published
2020-01-04
How to Cite
Ferreira, M. A. M. (2020). Convex Programming Based on Hahn-Banach Theorem. Theory and Applications of Mathematical Science Vol. 1, 60-72. Retrieved from https://stm1.bookpi.org/index.php/tams-v1/article/view/28