Directional-quasi-convexity, asymmetric Schur-convexity and optimality of consecutive partitions

Directional-quasi-convexity, asymmetric Schur-convexity and optimality of consecutive partitions

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Article ID: iaor20041185
Country: United States
Volume: 21
Issue: 3
Start Page Number: 540
End Page Number: 554
Publication Date: Aug 1996
Journal: Mathematics of Operations Research
Authors: ,
Abstract:

The current paper has the following distinct goals: 1. To generalize standard quasi-convexity to obtain a weaker property of functions that suffices for optimality of extreme points. Specifically, it is required that intersections of the level sets of the function with line segments having direction in a prescribed set are convex. 2. To characterize Schur-convexity for symmetric functions through the above generalization of quasi-convexity, thereby obtaining a previously unknown relationship of Schur-convexity and (standard) convexity. The new characterization is used to extend the definition of Schur-convexity to functions which are not symmetric. 3. To obtain new sufficient conditions for the optimality of consecutive partitions, by using the new definition of Schur-convexity for functions that are not necessarily symmetric. The conclusion that Schur-convexity is an instance of a convexity property that implies the optimality of extreme points, unifies two approaches that were used in the literature to prove optimality of subsets of the domain of real-valued functions. The two tools – quasi – convexity and Schur-convexity were previously considered as distinct techniques.

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