Eigenstate thermalization for observables that break Hamiltonian symmetries and its counterpart in interacting integrable systems
Tyler LeBlond, Marcos Rigol

TL;DR
This paper investigates the statistical properties of off-diagonal matrix elements of symmetry-breaking observables in quantum spin chains, revealing eigenstate thermalization in chaotic systems and distinct distributions in integrable systems, with detailed analysis of their scaling behaviors.
Contribution
It demonstrates eigenstate thermalization for symmetry-breaking observables in chaotic systems and characterizes their distribution and scaling in integrable models, extending understanding of thermalization beyond symmetric cases.
Findings
Eigenstate thermalization holds in quantum-chaotic models with Gaussian-distributed matrix elements.
In integrable models, matrix elements follow a skewed log-normal-like distribution.
Variance of matrix elements scales as 1/D and exhibits diffusive or ballistic behavior at low frequencies.
Abstract
We study the off-diagonal matrix elements of observables that break the translational symmetry of a spin-chain Hamiltonian, and as such connect energy eigenstates from different total quasimomentum sectors. We consider quantum-chaotic and interacting integrable points of the Hamiltonian, and focus on average energies at the center of the spectrum. In the quantum-chaotic model, we find that there is eigenstate thermalization; specifically, the matrix elements are Gaussian distributed with a variance that is a smooth function of ({} are the eigenenergies) and scales as ( is the Hilbert space dimension). In the interacting integrable model, we find that the matrix elements exhibit a skewed log-normal-like distribution and have a variance that is also a smooth function of that scales as . We study in detail the low-frequency…
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