Second-Order Optimality Conditions for Strict Pareto Minima and Weak Efficiency for Nonsmooth Constrained Vector Equilibrium Problems. (1st November 2022)

• Record Type: Journal Article
• Authors: Su, Tran Van; Luu, Do Van
• Is Part Of: Numerical functional analysis and optimization. Volume 43:Number 15(2022)
• Page Start: 1732
• Page End: 1759
• Publication Date: 2022-11-01
• Subjects: Lower and upper second-order strictly pseudoconvex mappings -- nonsmooth constrained vector equilibrium problem -- second-order constraint qualifications -- second-order necessary and sufficient optimality conditions -- second-order strict local Pareto minima; 49J52 -- 9046C -- 90C30 -- 90C26 -- 26B25; Functional analysis -- Periodicals; Numerical analysis -- Periodicals; Mathematical optimization -- Periodicals; Numerical Analysis, Computer-Assisted; 515.705
• DOI: 10.1080/01630563.2022.2132510
• Languages: English
• ISSNs: 0163-0563

Abstract

Abstract: In this article, some types of lower and upper second-order strictly pseudoconvexity are provided for establishing sufficient conditions for the second-order strict local Pareto minima of nonsmooth vector equilibrium problem with set, inequality and equality constraints. Based on the notion of Gerstewitz mappings, some Kuhn-Tucker-type multiplier rules for the strict local Pareto minima of such problem are obtained. We also construct the second-order constraint qualification in terms of first- and second-order directional derivatives of the (CQ) and (CQ1) types. Using this constraint qualifications, some second-order primal and dual necessary optimality conditions in terms of second-order upper and lower Dini directional derivatives for such minima are derived. Under suitable assumptions on the lower and upper strictly pseudoconvexity of order two of objective and constraint functions, second-order necessary optimality conditions become sufficient optimality conditions to such problem. Some illustrative examples are also given for our findings.