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Nguyen Xuan Duy Bao

Publications and source records attributed to Nguyen Xuan Duy Bao.

3 recordsLinked to original sources

First-Order Characterizations of Strong Quasiconvexity and a Quasimonotonicity Gap

We study first-order conditions for Gâteaux differentiable strongly quasiconvex functions on open convex subsets of normed spaces. First, we prove that the value-order gradient condition characterizes strong quasiconvexity with the same modulus $σ$, improving the modulus $σ/2$ of Vladimirov, Nesterov, and Chekanov and of Hadjisavvas and Lara. Second, we answer negatively a question of Lara, Marcavillaca, and Vuong: for every $σ>0$ there is a $C^\infty$ function on the real line that satisfies their generalized quasimonotonicity condition with modulus $σ$, even in its nonstrict form, yet is strongly quasiconvex with no positive modulus. Third, we show that adding an interior test along segments to this condition yields an exact characterization of strong quasiconvexity. Finally, a critical-point condition on the same compensated profile gives a second, elementary characterization.

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Convex Generalized Differentiation at infinity

In this paper, we develop a generalized differentiation theory at infinity for convex sets and functions. In particular, we study several fundamental notions of convex analysis at infinity, including tangent cones, normal cones, and subdifferentials. Our work complements the recently developed theories of nonsmooth analysis at infinity by focusing on the convex setting, where these constructions preserve convexity and admit natural connections with recession analysis, polarity, and epigraphical geometry. We show that, in the convex case, many results can be established under weaker assumptions and admit simpler and more explicit representations than those available in the general nonsmooth framework. In addition, we develop calculus rules and geometric characterizations for these constructions and apply them to optimality conditions and attainment criteria for convex optimization problems over unbounded feasible sets. The results obtained in this paper provide new tools for the study of convex sets and functions at infinity and further strengthen the connections between convex analysis, variational analysis, and optimization.

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Nash Equilibrium and Minimax Theorems via Variational Tools of Convex Analysis

In this paper, we first provide a simple variational proof of the existence of Nash equilibrium in Hilbert spaces by using optimality conditions in convex minimization and Schauder's fixed-point theorem. Then applications of convex analysis and generalized differentiation are given to the existence of Nash equilibrium and extended versions of von Neumann's minimax theorem in locally convex topological vector spaces. Our analysis in this part combines generalized differential tools of convex analysis with elements of fixed point theory revolving around Kakutani's fixed-point theorem and related issues.

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