Variational Properties of the Abstract Subdifferential Operator

Reinier Díaz Millán (), Nadezda Sukhorukova () and Julien Ugon ()
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Reinier Díaz Millán: Deakin University
Nadezda Sukhorukova: Swinburne University of Technology
Julien Ugon: Deakin University

Journal of Optimization Theory and Applications, 2025, vol. 204, issue 1, No 14, 24 pages

Abstract: Abstract Abstract convexity generalises classical convexity by considering the suprema of functions taken from an arbitrarily defined set of functions. These are called the abstract linear (abstract affine) functions. The purpose of this paper is to study the abstract subdifferential. We obtain a number of results on the calculus of this subdifferential: summation and composition rules, and prove that under some reasonable conditions, the subdifferential is a maximal abstract monotone operator. Another contribution of this paper is a counterexample that demonstrates that the separation theorem between two abstract convex sets is generally not true. The lack of the extension of separation results to the case of abstract convexity is one of the obstacles in the development of numerical methods based on abstract convexity.

Keywords: Abstract convex functions; Abstract subdifferential; Abstract monotonicity; 52A01; 90C30; 47N10; 49J52; 49J53 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10957-024-02583-3

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