Abstract

In this paper the authors introduce the notion of $\alpha $-lower subdifferentiability, with $\alpha \in ( 0,1 ]$, for extended real-valued functions defined on a locally convex real topological vector space X. This is a generalization of the concept of lower subdifferentiability due to Plastria, which corresponds to the case $\alpha = 1$. When X is a normed space, the class of $\alpha $-lower subdifferentiable functions appears to be closely related to that of $\alpha $-Hölder quasi-convex functions. Two applications to quasi-convex optimization are given: a duality theorem, based on conjugation with respect to $h_\alpha $, and Kuhn–Tucker–type optimality conditions in terms of $\alpha $-lower subdifferentials.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.