Spectral distribution of sparse Gaussian Ensembles of Real Asymmetric Matrices
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866915491037052928 |
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| author | Dutta, Ratul Shukla, Pragya |
| author_facet | Dutta, Ratul Shukla, Pragya |
| contents | Theoretical analysis of biological and artificial neural networks e.g. modelling of synaptic or weight matrices necessitate consideration of the generic real-asymmetric matrix ensembles, those with varying order of matrix elements e.g. a sparse structure or a banded structure. We pursue the complexity parameter approach to analyze the spectral statistics of the multiparametric Gaussian ensembles of real asymmetric matrices and derive the ensemble averaged spectral densities for real as well as complex eigenvalues. Considerations of the matrix elements with arbitrary choice of mean and variances render us the freedom to model the desired sparsity in the ensemble. Our formulation provides a common mathematical formulation of the spectral statistics for a wide range of sparse real-asymmetric ensembles and also
reveals, thereby, a deep rooted universality among them. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_21002 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Spectral distribution of sparse Gaussian Ensembles of Real Asymmetric Matrices Dutta, Ratul Shukla, Pragya Disordered Systems and Neural Networks Statistical Mechanics Mathematical Physics Quantum Physics Theoretical analysis of biological and artificial neural networks e.g. modelling of synaptic or weight matrices necessitate consideration of the generic real-asymmetric matrix ensembles, those with varying order of matrix elements e.g. a sparse structure or a banded structure. We pursue the complexity parameter approach to analyze the spectral statistics of the multiparametric Gaussian ensembles of real asymmetric matrices and derive the ensemble averaged spectral densities for real as well as complex eigenvalues. Considerations of the matrix elements with arbitrary choice of mean and variances render us the freedom to model the desired sparsity in the ensemble. Our formulation provides a common mathematical formulation of the spectral statistics for a wide range of sparse real-asymmetric ensembles and also reveals, thereby, a deep rooted universality among them. |
| title | Spectral distribution of sparse Gaussian Ensembles of Real Asymmetric Matrices |
| topic | Disordered Systems and Neural Networks Statistical Mechanics Mathematical Physics Quantum Physics |
| url | https://arxiv.org/abs/2507.21002 |