Number statistics for $\beta$-ensembles of random matrices: applications to trapped fermions at zero temperature
Ricardo Marino, Satya N. Majumdar, Gregory Schehr, Pierpaolo Vivo

TL;DR
This paper develops a formalism to analytically compute the probability distribution of eigenvalues in large $eta$-ensembles, revealing non-monotonic variance behavior and applying results to trapped fermions at zero temperature.
Contribution
It introduces a Coulomb gas and resolvent-based method to calculate eigenvalue counting probabilities for large $N$, applicable to various classical $eta$-ensembles and physical systems.
Findings
Probability scales as exp(-$eta N^2$ times a rate function.
Number variance shows non-monotonic behavior with interval size.
Results match numerical simulations and apply to trapped fermions.
Abstract
Let be the probability that a -ensemble of random matrices with confining potential has eigenvalues inside an interval of the real line. We introduce a general formalism, based on the Coulomb gas technique and the resolvent method, to compute analytically for large . We show that this probability scales for large as , where is the Dyson index of the ensemble. The rate function , independent of , is computed in terms of single integrals that can be easily evaluated numerically. The general formalism is then applied to the classical -Gaussian (), -Wishart () and…
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.
Taxonomy
TopicsRandom Matrices and Applications · Quantum Information and Cryptography · Algebraic structures and combinatorial models
