Abstract:International audienceIn this paper we study the efficient points of a closed production set with free disposal. We first provide a condition on the boundary of the production set, which is equivalent to the fact that all boundary points are efficient. When the production set is convex, we also give an alternative characterization of efficiency around a given production vector in terms of the profit maximization rule. In the non-convex case, this condition expressed with the marginal pricing rule is sufficient… Show more
“…Moreover, when A ¼ ÀK and k 0 2 int K then (it is well known that) ' A is a continuous sublinear function, and so ' A is Lipschitz continuous. Recently in the case Y ¼ R m and for K ¼ R m þ Bonnisseau-Crettez [2] obtained the Lipschitz continuity of ' A around a point y 2 bd A when Àk 0 is in the interior of the Clarke tangent cone of A at y. The (global) Lipschitz continuity of ' A can be related to a result of Gorokhovik-Gorokhovik [9] established in normed vector spaces as we shall see in the sequel.…”
Section: Lipschitz Propertiesmentioning
confidence: 92%
“…The cone K determines the order K on Y defined by y 1 K y 2 if y 2 À y 1 2 K. Throughout the article, we also assume that A satisfies the following condition (see also [2]):…”
Section: Continuity Propertiesmentioning
confidence: 99%
“…However, local continuity properties were not studied in [8]. Very recently Bonnisseau and Crettez [2] obtained local Lipschitz properties for ' A,k 0 (called Luenberger shortage function in [2]) in a very special case. Of course, ' A,k 0 is a continuous sublinear functional if A is a proper closed convex cone and k 0 2 int A (cf [8,Corollary 2.3.5]) and so ' A,k 0 is Lipschitz continuous.…”
The scalarization functions were used in vector optimization for a long period. Similar functions were introduced and used in economics under the name of shortage function or in mathematical finance under the name of (convex or coherent) measures of risk. The main aim of this article is to study Lipschitz continuity properties of such functions and to give some applications for deriving necessary optimality conditions for vector optimization problems using the Mordukhovich subdifferential.
“…Moreover, when A ¼ ÀK and k 0 2 int K then (it is well known that) ' A is a continuous sublinear function, and so ' A is Lipschitz continuous. Recently in the case Y ¼ R m and for K ¼ R m þ Bonnisseau-Crettez [2] obtained the Lipschitz continuity of ' A around a point y 2 bd A when Àk 0 is in the interior of the Clarke tangent cone of A at y. The (global) Lipschitz continuity of ' A can be related to a result of Gorokhovik-Gorokhovik [9] established in normed vector spaces as we shall see in the sequel.…”
Section: Lipschitz Propertiesmentioning
confidence: 92%
“…The cone K determines the order K on Y defined by y 1 K y 2 if y 2 À y 1 2 K. Throughout the article, we also assume that A satisfies the following condition (see also [2]):…”
Section: Continuity Propertiesmentioning
confidence: 99%
“…However, local continuity properties were not studied in [8]. Very recently Bonnisseau and Crettez [2] obtained local Lipschitz properties for ' A,k 0 (called Luenberger shortage function in [2]) in a very special case. Of course, ' A,k 0 is a continuous sublinear functional if A is a proper closed convex cone and k 0 2 int A (cf [8,Corollary 2.3.5]) and so ' A,k 0 is Lipschitz continuous.…”
The scalarization functions were used in vector optimization for a long period. Similar functions were introduced and used in economics under the name of shortage function or in mathematical finance under the name of (convex or coherent) measures of risk. The main aim of this article is to study Lipschitz continuity properties of such functions and to give some applications for deriving necessary optimality conditions for vector optimization problems using the Mordukhovich subdifferential.
“…(In their papers on benefit functions, Luenberger (1992) and Briec and Garderes (2004) did prove some continuity results, but these results do not generalize to shortage functions.) Later, Chambers et al (1998) and Bonnisseau and Crettez (2007) were able to establish only upper semicontinuity of the shortage function; this is because they restricted the direction g only to be non-negative,whereas we restrict it to be strictly positive.…”
“…[6]). We establish conditions under which the sets of efficient and weakly efficient solutions coincide -a property which play an important role in mathematical economics, as shown by Bonnisseau and Crettez [16], and Flores-Bazán, Laengle and Loyola [17]. In particular, we prove that this property holds for any bicriteria convex minimization problem provided that each criterion attains its minimum at a unique feasible point (which is the case in location problems).…”
This paper is devoted to the study of extended multicriteria location problems, which are obtained from a given planar single-facility multicriteria location problem with respect to the maximum norm by adding new cost functions. By means of an appropriate decomposition approach, we develop an implementable algorithm for generating an efficient solution of such extended problems.
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