The spectrum of local random Hamiltonians
Benoit Collins, Zhi Yin, Liang Zhao, Ping Zhong

TL;DR
This paper investigates the spectral properties of local random Hamiltonians, introducing a novel mathematical framework using $$-free convolution and combinatorial structures to analyze eigenvalues.
Contribution
It establishes an isomorphism between $$-noncrossing partitions and permutations, providing new tools to study the spectrum of local random Hamiltonians.
Findings
Derived bounds for the largest eigenvalue of the Hamiltonian
Represented the spectrum using $$-free convolution of local terms
Connected combinatorial structures to spectral analysis
Abstract
The spectrum of a local random Hamiltonian can be represented generically by the so-called -free convolution of its local terms' probability distributions. We establish an isomorphism between the set of -noncrossing partitions and permutations to study its spectrum. Moreover, we derive some lower and upper bounds for the largest eigenvalue of the Hamiltonian.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Spectral Theory in Mathematical Physics · Random Matrices and Applications
