Second-Order Characterizations of Tilt Stability in Composite Optimization
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866915390958862336 |
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| author | Mordukhovich, Boris S. Tang, Peipei Wang, Chengjing |
| author_facet | Mordukhovich, Boris S. Tang, Peipei Wang, Chengjing |
| contents | Tilt stability is a fundamental concept of variational analysis and optimization that plays a pivotal role in both theoretical issues and numerical computations. This paper investigates tilt stability of local minimizers for a general class of composite optimization problems in finite dimensions, where extended-real-valued objectives are compositions of parabolically regular and smooth functions. Under the weakest metric subregularity constraint qualification and other verifiable conditions, we establish unified neighborhood and pointbased characterizations of tilt stability via second-order generalized differentiation. The obtained results provide a rigorous theoretical foundation for further developments on variational stability and numerical algorithms of optimization and related topics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_11253 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Second-Order Characterizations of Tilt Stability in Composite Optimization Mordukhovich, Boris S. Tang, Peipei Wang, Chengjing Optimization and Control Numerical Analysis 49J52, 49J53, 90C31 Tilt stability is a fundamental concept of variational analysis and optimization that plays a pivotal role in both theoretical issues and numerical computations. This paper investigates tilt stability of local minimizers for a general class of composite optimization problems in finite dimensions, where extended-real-valued objectives are compositions of parabolically regular and smooth functions. Under the weakest metric subregularity constraint qualification and other verifiable conditions, we establish unified neighborhood and pointbased characterizations of tilt stability via second-order generalized differentiation. The obtained results provide a rigorous theoretical foundation for further developments on variational stability and numerical algorithms of optimization and related topics. |
| title | Second-Order Characterizations of Tilt Stability in Composite Optimization |
| topic | Optimization and Control Numerical Analysis 49J52, 49J53, 90C31 |
| url | https://arxiv.org/abs/2507.11253 |