Limit joint distributions of SYK Models with partial interactions, Mixed q-Gaussian Models and Asymptotic $\varepsilon$-freeness
Weihua Liu, Haoqi Shen
TL;DR
This work analyzes the joint distribution of multiple SYK Hamiltonians with prescribed overlaps and proves convergence, in the large-$n$ limit, to a mixed $Q$-Gaussian system with $q_{ij}=(-1)^{r_i r_j} e^{-2\lambda_{ij}}$, where $\lambda_{ij}$ encodes pairwise overlaps. The authors realize ε-free independence through graph-product constructions, yielding a random model for asymptotic $\varepsilon$-freeness. By connecting SYK models to deformed Fock spaces and operator-algebraic independence, the paper provides a concrete probabilistic framework for noncommutative independence in quantum spin systems and broadens the applicability of mixed $q$-Gaussian variables. The results illuminate how interaction length and subsystem overlaps govern noncommutativity and enable explicit limiting moments via pairings, contributing a rigorous bridge between random matrix models and $\varepsilon$-freeness in free probability.
Abstract
We study the joint distribution of SYK Hamiltonians for different systems with specified overlaps. We show that, in the large-system limit, their joint distribution converges in distribution to a mixed $q$-Gaussian system. We explain that the graph product of diffusive abelian von Neumann algebras is isomorphic to a $W^*$-probability space generated by the corresponding $\varepsilon$-freely independent random variables with semicircular laws which form a special case of mixed $q$-Gaussian systems that can be approximated by our SYK Hamiltonian models. Thus, we obtain a random model for asymptotic $\varepsilon$-freeness.
