Abstract
In this paper, we introduce a definition of generalized convexlike functions (preconvexlike functions). Then, under the weakened convexity, we study vector optimization problems in Hausdorff topological linear spaces. We establish some generalized Motzkin theorems of the alternative. By use of these theorems of the alternative, we obtain some Lagrangian multiplier theorems. A saddle-point theorem and a scalarization theorem are also derived.
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Jeyakumar, V., A Generalization of a Minimax Theorem of Fan via a Theorem of the Alternative, Journal of Optimization Theory and Applications, Vol. 48, pp. 525–533, 1986.
Jeyakumar, V., Convexlike Alternative Theorems and Mathematical Programming, Optimization, Vol. 16, pp. 643–652, 1985.
Li, Z., The Optimality Conditions of Differentiable Vector Optimization Problems, Journal of Mathematical Analysis and Applications, Vol. 201, pp. 35–43, 1996.
Bazaraa, M. S., A Theorem of the Alternative with Application to Convex Programming, Optimality, Duality, and Stability, Journal of Mathematical Analysis and Applications, Vol. 41, pp. 701–715, 1973.
Graven, B. D., Gwinner, J., and Jeyakumar, V., Nonconvex Theorems of the Alternative and Minimization, Optimization, Vol. 18, pp. 151–163, 1987.
Luc, D. T., On Duality Theorems in. Multiobjective Programming, Journal of Optimization Theory and Applications, Vol. 48, pp. 557–582, 1984.
Jeyakumar, V., A General Farkas Lemma and Characterization of Optimality for a Nonsmooth Program Involving Convex Processes, Journal of Optimization Theory and Applications, Vol. 55, pp. 449–467, 1987.
Singh, C., and Hanson, M. A., Saddle-Point Theory for Nondifferentiable Programming, Journal of Information and Optimization Science, Vol. 7, pp. 41–48, 1986.
Gwinner, J., and Oettli, W., Theorems of the Alternative and Duality for Inf-Sup Problems, Mathematics of Operations Reserch, Vol. 19, pp. 238–256, 1994.
Paeck, S., Convexlike and Concavelike Conditions in Alternative, Minimax, and Minimization Theorems, Journal of Optimization Theory and Applications, Vol. 74, pp. 317–332, 1992.
Giannessi, F., Theorems of the Alternative for Multifunctions with Application to Optimization: General Results, Journal of Optimization Theory and Applications, Vol. 55, pp. 233–256, 1987.
Fan, K., Minimax Theorems, Proceedings of the National Academy of Sciences of the USA, Vol. 39, pp. 42–47, 1953.
Jeyakumar, V., and Gwinner J., Inequality Systems and Optimization, Journal of Mathematical Analysis and Applications, Vol. 159, pp. 51–71, 1991.
Giannessi, F., Theorems of the Alternative and Optimality Conditions, Journal of Optimization Theory and Applications, Vol. 42, pp. 331–365, 1984.
Deimling, K., Nonlinear Functional Analysis, Springer Verlag, Berlin, Germany, 1985.
Yang, X. M., Yang, X. Q., and Chen, G. Y., Theorems of the Alternative and Optimization, Journal of Optimization Theory and Applications, Vol. 107, pp. 627–640, 2000.
Zeng, R., Generalized Gordon Alternative Theorem with Weakened Convexity and Its Applications, Optimization, Vol. 51, pp. 709–717, 2002.
Zeng, R., Lagrangian Multipliers and Saddle-Points for the Optimization of Set-Valued Maps, CORS/SCRO-INFORMS Joint International Meeting, Banff, Canada, 2004.
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Communicated by F. Giannessi
The author thank Ginndomenico Mastrocni for helpful and useful comments.
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Zeng, R., Caron, R.J. Generalized Motzkin Theorems of the Alternative and Vector Optimization Problems. J Optim Theory Appl 131, 281–299 (2006). https://doi.org/10.1007/s10957-006-9140-6
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DOI: https://doi.org/10.1007/s10957-006-9140-6