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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.22808 |
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| _version_ | 1866917038043168768 |
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| author | Hahn, Nico Kieburg, Mario Gat, Omri Guhr, Thomas |
| author_facet | Hahn, Nico Kieburg, Mario Gat, Omri Guhr, Thomas |
| contents | The winding number is the topological invariant that classifies chiral symmetric Hamiltonians with one-dimensional parametric dependence. In this work we complete our study of the winding number statistics in a random matrix model belonging to the chiral unitary class AIII. We show that in the limit of large matrix dimensions the winding number distribution becomes Gaussian. Our results include expressions for the statistical moments of the winding number and for the k-point correlation function of the winding number density. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_22808 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Winding Number Statistics for Chiral Random Matrices: Universal Correlations and Statistical Moments in the Unitary Case Hahn, Nico Kieburg, Mario Gat, Omri Guhr, Thomas Mathematical Physics Disordered Systems and Neural Networks The winding number is the topological invariant that classifies chiral symmetric Hamiltonians with one-dimensional parametric dependence. In this work we complete our study of the winding number statistics in a random matrix model belonging to the chiral unitary class AIII. We show that in the limit of large matrix dimensions the winding number distribution becomes Gaussian. Our results include expressions for the statistical moments of the winding number and for the k-point correlation function of the winding number density. |
| title | Winding Number Statistics for Chiral Random Matrices: Universal Correlations and Statistical Moments in the Unitary Case |
| topic | Mathematical Physics Disordered Systems and Neural Networks |
| url | https://arxiv.org/abs/2410.22808 |