Second-order necessary optimality condition for weakly efficient solutions in constrained vector optimization problems

Mau Vinh Tran1,, Van Su Tran2
1 Chu Van An Secondary School, Tam Ky, Quang Nam, Vietnam
2 Department of Mathematics, The University of Danang - University of Science and Education, Vietnam

Main Article Content

Abstract

In the paper, we study second-order necessary optimality conditions for a nonsmooth vector optimization problem with set, cone and equality constraints based on the concept of twice continuously directional derivatives in real Banach spaces. For the purpose above, we provide some concepts for weakly efficient solutions to such problem and present some characterizations on twice continuously directional differentiabilities for the class of real-valued functions. Under suitable assumptions, some primal and Fritz John-type dual second-order necessary optimality conditions for the locally weakly efficient solutions of such problem are provided as well. The second-order optimality conditions obtained are new or improve some recent existing ones in the literature.

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References

Bonnans, J. F., Cominetti, R., & Shapiro, A. (1999). Second order optimality conditions based on parabolic second order tangent sets. SIAM J. Optim., 9(2), 466-492.
Bonnans, J. F., & Shapiro, A. (2000). Perturbation analysis of optimization problems, Springer-Verlag, New York, 1st ed.
Constantin, E. (2011). Second-order optimality conditions for problems with locally Lipschitz data via tangential directions. Comm. Appl. Nonlinear Anal., 18(2), 75-84.
Constantin, E. (2021). Necessary conditions for weak minima and for strict minima of order two in nonsmooth constrained multiobjective optimization. J. Glob. Optim., 80, 177-193.
Ginchev, I., & Ivanov, V. I. (2008). Second-order optimality conditions for problems with C1 data. J. Math. Anal. Appl., 340, 646-657.
Ivanov, V. I. (2015). Second-order optimality conditions for vector problems with continuously Fréchet differentiable data and second-order constraint qualifications. J. Optim. Theory Appl., 166, 777-790.
Jiménez, B., & Novo, V. (2003). First- and second-order sufficient conditions for strict minimality in nonsmooth vector optimization. J. Math. Anal. Appl., 284, 496-510.
Jiménez, B., & Novo, V. (2004). Optimality conditions in differentiable vector optimization via second-order tangent sets. Appl. Math. Optim., 49, 123-144.
Liu, L. P. (1991). The second-order conditions of nondominated solutions for C1,1 generalized multiobjective mathematical programming. J. Syst. Sci. Math. Sci., 4, 128-131.
Luu, D. V. (2018). Second-order necessary efficiency conditions for nonsmooth vector equilibrium problems. J. Glob. Optim., 70, 437-453. Rockafellar, R.T. (1970). Convex Analysis. Princeton University Press: Princeton.
Su, T. V. (2020). New second-order optimality conditions for vector equilibrium problems with constraints in terms of contingent derivatives. Bull. Braz. Math. Soc. New Series., 51(2), 371-395.