Characterization of Strong Local Maximal Monotonicity through Graphical Derivatives
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866909756431532032 |
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| author | Garrido, Juan Guillermo |
| author_facet | Garrido, Juan Guillermo |
| contents | This paper is devoted to study a characterization of (strong) local maximal monotonicity in terms of a property involving the graphical derivative of a set-valued mapping defined on a Hilbert space. As a consequence, a second-order characterization of variational convexity is provided without the assumption of subdifferential continuity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_18867 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Characterization of Strong Local Maximal Monotonicity through Graphical Derivatives Garrido, Juan Guillermo Optimization and Control This paper is devoted to study a characterization of (strong) local maximal monotonicity in terms of a property involving the graphical derivative of a set-valued mapping defined on a Hilbert space. As a consequence, a second-order characterization of variational convexity is provided without the assumption of subdifferential continuity. |
| title | Characterization of Strong Local Maximal Monotonicity through Graphical Derivatives |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2503.18867 |