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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2605.08101 |
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| _version_ | 1866911663947513856 |
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| author | Fallat, Shaun Mondal, Samir Sendov, Hristo |
| author_facet | Fallat, Shaun Mondal, Samir Sendov, Hristo |
| contents | In this framework, the extremal case corresponds to the tightest nontrivial relaxation in this hierarchy, in which every proper principal submatrix is constrained to be positive semidefinite, while the global positive semidefiniteness condition is governed by the determinant. In this paper, we study the determinants of locally positive semidefinite matrices and derive sharp lower bounds on their determinants that quantify the gap between local and global positive semidefiniteness. We further obtain analogous extensions of classical determinant inequalities, including Fisher and Koteljanskii inequalities, providing tight lower bounds in each case. In a sense, these results quantify, via determinant bounds, how far the class of locally positive semidefinite matrices can be from being positive semidefinite. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_08101 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Determinant Bounds for $(n-1)$-Locally Positive Semidefinite Matrices Fallat, Shaun Mondal, Samir Sendov, Hristo Optimization and Control 15A15, 15A18, 15B48 In this framework, the extremal case corresponds to the tightest nontrivial relaxation in this hierarchy, in which every proper principal submatrix is constrained to be positive semidefinite, while the global positive semidefiniteness condition is governed by the determinant. In this paper, we study the determinants of locally positive semidefinite matrices and derive sharp lower bounds on their determinants that quantify the gap between local and global positive semidefiniteness. We further obtain analogous extensions of classical determinant inequalities, including Fisher and Koteljanskii inequalities, providing tight lower bounds in each case. In a sense, these results quantify, via determinant bounds, how far the class of locally positive semidefinite matrices can be from being positive semidefinite. |
| title | Determinant Bounds for $(n-1)$-Locally Positive Semidefinite Matrices |
| topic | Optimization and Control 15A15, 15A18, 15B48 |
| url | https://arxiv.org/abs/2605.08101 |