Limit joint distributions of SYK models with partial interactions, mixed Q-Gaussian models and asymptotic ε-freeness

Abstract We study the joint distribution of the SYK Hamiltonians for different systems with specified overlaps. We demonstrate that, in the large-system limit, the joint distribution converges in moments to a mixed q-Gaussian system. Furthermore, we explain that the graph product of diffusive abelian von Neumann algebras is isomorphic to a W * -probability space generated by the corresponding ε-freely independent random variables with semicircular laws. Because these variables form a special case of mixed q-Gaussian systems, they can be approximated by our SYK Hamiltonian models. As a byproduct, we obtain Gaussian random matrix models for asymptotic ε-freeness.

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Publication Details

Journal
Journal of Physics A Mathematical and Theoretical
Published
2026-11-04
DOI
https://doi.org/10.1088/1751-8121/aebddb
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Limit joint distributions of SYK models with partial interactions, mixed Q-Gaussian models and asymptotic ε-freeness

Weihua Liu, Haoqi Shen
Journal of Physics A Mathematical and Theoretical
Random Matrices and Applications
article

Limit joint distributions of SYK models with partial interactions, mixed Q-Gaussian models and asymptotic ε-freeness

Weihua Liu, Haoqi Shen
article en

Abstract

Abstract We study the joint distribution of the SYK Hamiltonians for different systems with specified overlaps. We demonstrate that, in the large-system limit, the joint distribution converges in moments to a mixed q-Gaussian system. Furthermore, we explain that the graph product of diffusive abelian von Neumann algebras is isomorphic to a W * -probability space generated by the corresponding ε-freely independent random variables with semicircular laws. Because these variables form a special case of mixed q-Gaussian systems, they can be approximated by our SYK Hamiltonian models. As a byproduct, we obtain Gaussian random matrix models for asymptotic ε-freeness.

Journal of Physics A Mathematical and Theoretical
Zhejiang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 90%
Random Matrices and Applications
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