Convolution of Robust Functions

Número: 
17
Ano: 
2002
Autor: 
Heriberto Román-Flores
Rodney C. Bassanezi
Laécio C. Barros
Abstract: 

Recently Zheng [1,2], in the setting of global optimization, introduced the concepts of robust set and robust function as a generalization of open set and upper semicontinuous (u.s.c) function, respectively. The aims of this paper are to study the structure of robust sets defined on a normed space $X$ as well as to extend some multivalued convergence results obtained by the author in [3,4] and Greco et al. [6] for semicontinuous functions to the class of robust functions. More precisely, we introduce the concepts of level-convergence and epigraphic convergence on $\mathcal{R}(X)$ the space of nonnegative robust functions on a normed space $X$ and, on one hand, we study its properties and relationships, and on the other, we present some results on level-approximation and epi-approximation of functions by using convolution of robust functions.

Keywords: 
Normed spaces
robust sets
Hausdorff pseudometric
Kuratowski limits
Level-convergence
Convolution of functions
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