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Mathematical Programming
Article . 2009 . Peer-reviewed
License: Springer TDM
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Article . 2010
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https://dx.doi.org/10.48550/ar...
Article . 2008
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Autoconjugate representers for linear monotone operators

Authors: Bauschke, Heinz H.; Wang, Xianfu; Yao, Liangjin;

Autoconjugate representers for linear monotone operators

Abstract

Monotone operators are of central importance in modern optimization and nonlinear analysis. Their study has been revolutionized lately, due to the systematic use of the Fitzpatrick function. Pioneered by Penot and Svaiter, a topic of recent interest has been the representation of maximal monotone operators by so-called autoconjugate functions. Two explicit constructions were proposed, the first by Penot and Zalinescu in 2005, and another by Bauschke and Wang in 2007. The former requires a mild constraint qualification while the latter is based on the proximal average. We show that these two autoconjugate representers must coincide for continuous linear monotone operators on reflexive spaces. The continuity and the linearity assumption are both essential as examples of discontinuous linear operators and of subdifferential operators illustrate. Furthermore, we also construct an infinite family of autoconjugate representers for the identity operator on the real line.

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Keywords

Mathematics - Functional Analysis, Convex functions and convex programs in convex geometry, Optimization and Control (math.OC), 47H05, FOS: Mathematics, Applications of operator theory in optimization, convex analysis, mathematical programming, economics, Monotone operators and generalizations, Mathematics - Optimization and Control, Functional Analysis (math.FA)

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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!
12
Average
Top 10%
Top 10%
Green
bronze