Accurate densities of states for disordered systems from free probability: Live Free or Diagonalize
Matthew Welborn, Jiahao Chen, Troy Van Voorhis

TL;DR
This paper demonstrates that free probability provides highly accurate approximations for the density of states in disordered electronic systems, with systematic error analysis and corrections, especially for systems with constant interactions.
Contribution
The study extends free probability methods to disordered systems, develops an asymptotic error analysis, and introduces correction schemes for improved density of states approximations.
Findings
Free probability accurately approximates density of states in ordered systems.
Approximation accuracy degrades slightly with disordered interactions.
Asymptotic error analysis quantifies approximation errors and guides corrections.
Abstract
We investigate how free probability allows us to approximate the density of states in tight binding models of disordered electronic systems. Extending our previous studies of the Anderson model in neighbor interactions [J. Chen et al., Phys. Rev. Lett. 109, 036403 (2012)], we find that free probability continues to provide accurate approximations for systems with constant interactions on two- and three-dimensional lattices or with next-nearest-neighbor interactions, with the results being visually indistinguishable from the numerically exact solution. For systems with disordered interactions, we observe a small but visible degradation of the approximation. To explain this behavior of the free approximation, we develop and apply an asymptotic error analysis scheme to show that the approximation is accurate to the eighth moment in the density of states for systems with constant…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
