Hunter's positivity theorem and random vector norms
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866911798812213248 |
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| author | Bouthat, Ludovick Chávez, Ángel Garcia, Stephan Ramon |
| author_facet | Bouthat, Ludovick Chávez, Ángel Garcia, Stephan Ramon |
| contents | A theorem of Hunter ensures that the complete homogeneous symmetric polynomials of even degree are positive definite functions. A probabilistic interpretation of Hunter's theorem suggests a broad generalization: the construction of so-called random vector norms on square complex matrices. This paper surveys these ideas, starting from the fundamental notions and developing the theory to its present state. We study numerous examples and present a host of open problems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_10314 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Hunter's positivity theorem and random vector norms Bouthat, Ludovick Chávez, Ángel Garcia, Stephan Ramon Functional Analysis Probability A theorem of Hunter ensures that the complete homogeneous symmetric polynomials of even degree are positive definite functions. A probabilistic interpretation of Hunter's theorem suggests a broad generalization: the construction of so-called random vector norms on square complex matrices. This paper surveys these ideas, starting from the fundamental notions and developing the theory to its present state. We study numerous examples and present a host of open problems. |
| title | Hunter's positivity theorem and random vector norms |
| topic | Functional Analysis Probability |
| url | https://arxiv.org/abs/2403.10314 |