Regularity conditions via generalized interiority notions in convex optimization: new achievements and their relation to some classical statements

TL;DR

This paper explores new regularity conditions in convex optimization based on generalized interiority notions, enhancing classical duality results and providing a unified framework with numerous examples.

Contribution

It introduces novel regularity conditions using quasi interior and quasi-relative interior, extending classical interior-based conditions in convex optimization.

Findings

New regularity conditions improve duality guarantees.

Generalized interior notions encompass classical conditions.

Illustrative examples demonstrate practical advantages.

Abstract

For the existence of strong duality in convex optimization regularity conditions play an indisputable role. We mainly deal in this paper with regularity conditions formulated by means of different generalizations of the notion of interior of a set. The primal-dual pair we investigate is a general one expressed in the language of a perturbation function and by employing its Fenchel-Moreau conjugate. After providing an overview on the generalized interior-point conditions that exist in the literature we introduce several new ones formulated by means of the quasi interior and quasi-relative interior. We underline the advantages of the new conditions vis-\'a-vis the classical ones and illustrate our investigations by numerous examples. We close the paper by particularizing the general approach to the classical Fenchel and Lagrange duality concepts.