A Fenchel-Rockafellar type duality theorem for maximization

Author:

Singer Ivan

Abstract

We prove that sup(f-h)(E) = sup(h*-f*)(E*), where f is a proper lower semi-continuous convex functional on a real locally convex space E, h: E = [-∞, +∞] is an arbitrary-functional and, f*, h* are their convex conjugates respectively. When h = δG, the indicator of a bounded subset G of E, this yields a formula for sup f(G).

Publisher

Cambridge University Press (CUP)

Subject

General Mathematics

Reference4 articles.

1. [4] Singer Ivan , “Maximization of lower semi-continuous convex functionals on bounded subsets of locally convex spaces. II: Quasi-Lagrangian duality theorems”, submitted.

2. Some new applications of the Fenchel-Rockafellar duality theorem: Lagrange multiplier theorems and hyperplane theorems for convex optimization and best approximation

3. A Course on Optimization and Best Approximation

4. Extension of Fenchel’ duality theorem for convex functions

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