Strong duality for infinite-dimensional vector-valued programming problems |
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Authors: | H. C. Lai L. S. Yang |
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Affiliation: | 1. Institute of Mathematics, National Tsing Hua University, Hsinchu, Taiwan, ROC 2. Department of Mathematics, University of Iowa, Iowa City, Iowa 3. Mathematics Division, Taitung Normal College, Taitung, Taiwan, ROC
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Abstract: | LetX,Y andZ be locally convex real topological vector spaces,A?X a convex subset, and letC?Y,E?Z be cones. Letf:X→Z beE-concave andg:X→Y beC-concave functions. We consider a concave programming problem with respect to an abstract cone and its strong dual problem as follows: $$begin{gathered} (P)maximize f(x), subject to x in A, g(x) in C, hfill (SD)minimize left{ {mathop cup limits_{varphi in C^ + } max { (f + varphi circ g)(A):E} } right}, hfill end{gathered} $$ , whereC + denotes the set of all nonnegative continuous linear operators fromY toZ and (SD) is the strong dual problem to (P). In this paper, the authors find a necessary condition of strong saddle point for Problem (P) and establish the strong duality relationships between Problems (P) and (SD). |
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