On some global implicit function theorems for set-valued inclusions with applications to parametric vector optimization

The present paper deals with the perturbation analysis of set-valued inclusion problems, a problem format whose relevance has recently emerged in such contexts as robust and vector optimization as well as in vector equilibrium theory. The set-valued inclusions here considered are parameterized by variables belonging to a topological space, with and without constraints. By proper techniques of variational analysis, some qualitative global implicit function theorems are established, which ensure global solvability of these problems and continuous dependence on the parameter of the related solutions. Applications to parametric vector optimization are discussed, aimed at deriving sufficient conditions for the existence of ideal efficient solutions that depend continuously on the parameter perturbations.