Duality and optimality conditions for generalized equilibrium problems involving DC functions |
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Authors: | N Dinh J J Strodiot V H Nguyen |
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Institution: | (3) Univ. Massachusetts, 01003 Amherst, Massachusetts, USA |
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Abstract: | We consider a generalized equilibrium problem involving DC functions which is called (GEP). For this problem we establish
two new dual formulations based on Toland-Fenchel-Lagrange duality for DC programming problems. The first one allows us to
obtain a unified dual analysis for many interesting problems. So, this dual coincides with the dual problem proposed by Martinez-Legaz
and Sosa (J Glob Optim 25:311–319, 2006) for equilibrium problems in the sense of Blum and Oettli. Furthermore it is equivalent
to Mosco’s dual problem (Mosco in J Math Anal Appl 40:202–206, 1972) when applied to a variational inequality problem. The
second dual problem generalizes to our problem another dual scheme that has been recently introduced by Jacinto and Scheimberg
(Optimization 57:795–805, 2008) for convex equilibrium problems. Through these schemes, as by products, we obtain new optimality
conditions for (GEP) and also, gap functions for (GEP), which cover the ones in Antangerel et al. (J Oper Res 24:353–371,
2007, Pac J Optim 2:667–678, 2006) for variational inequalities and standard convex equilibrium problems. These results, in
turn, when applied to DC and convex optimization problems with convex constraints (considered as special cases of (GEP)) lead
to Toland-Fenchel-Lagrange duality for DC problems in Dinh et al. (Optimization 1–20, 2008, J Convex Anal 15:235–262, 2008),
Fenchel-Lagrange and Lagrange dualities for convex problems as in Antangerel et al. (Pac J Optim 2:667–678, 2006), Bot and
Wanka (Nonlinear Anal to appear), Jeyakumar et al. (Applied Mathematics research report AMR04/8, 2004). Besides, as consequences
of the main results, we obtain some new optimality conditions for DC and convex problems. |
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