General Resolvents for Monotone Operators: Characterization and Extension
Heinz H. Bauschke, Xianfu Wang, and Liangjin Yao

TL;DR
This paper develops a unified framework for resolvents of monotone operators in Hilbert spaces, encompassing classical and generalized resolvents, and provides new extension results for firmly nonexpansive mappings.
Contribution
It introduces a comprehensive framework that characterizes and extends resolvents of monotone operators, including new classes based on duality, Bregman distances, and rotators.
Findings
Unified framework for various resolvent classes
Characterization of firmly nonexpansive mappings as resolvents
Constructive extension results for generalized mappings
Abstract
Monotone operators, especially in the form of subdifferential operators, are of basic importance in optimization. It is well known since Minty, Rockafellar, and Bertsekas-Eckstein that in Hilbert space, monotone operators can be understood and analyzed from the alternative viewpoint of firmly nonexpansive mappings, which were found to be precisely the resolvents of monotone operators. For example, the proximal mappings in the sense of Moreau are precisely the resolvents of subdifferential operators. More general notions of "resolvent", "proximal mapping" and "firmly nonexpansive" have been studied. One important class, popularized chiefly by Alber and by Kohsaka and Takahashi, is based on the normalized duality mapping. Furthermore, Censor and Lent pioneered the use of the gradient of a well behaved convex functions in a Bregman-distance based framework. It is known that resolvents are…
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Taxonomy
TopicsOptimization and Variational Analysis · Numerical methods in inverse problems · Contact Mechanics and Variational Inequalities
