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Abstract Subdifferential Calculus and Semi-Convex Functions

Abstract subdifferential calculus and semi-convex functions
Authors: Ivanov, Milen; Zlateva, Nadia;

Abstract Subdifferential Calculus and Semi-Convex Functions

Abstract

In this paper the authors follow a path that has become popular recently: to introduce and investigate a notion of abstract subdifferential for lower semi-continuous functions in Banach spaces by requiring the candidate for subdifferential to satisfy a priori given (inspired from subdifferential calculus) properties. Using an appropriate technical property the authors show that for each such subdifferential a mean-value theorem is true. Further, a class of functions generalizing the convex ones is investigated and naturally related to the notion of \(\phi\)-monotonicity of certain of their subdifferentials. Finally, the results obtained and the techniques developed are used to study the integrability of lower semi-continuous functions.

Country
Bulgaria
Keywords

Methods involving semicontinuity and convergence; relaxation, Nonsmooth Calculus, Nonsmooth analysis, nonsmooth calculus, subdifferential, Integrability, integrability, lower semi-continuous functions, Set-valued operators, Subdifferential

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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