Truncated linear statistics associated with the eigenvalues of random matrices II. Partial sums over proper time delays for chaotic quantum dots
Aur\'elien Grabsch, Satya N. Majumdar, Christophe Texier

TL;DR
This paper analyzes the distribution of partial sums of eigenvalues in random matrix ensembles related to chaotic quantum dots, revealing a phase diagram with three distinct phases and highlighting differences from previous constrained eigenvalue studies.
Contribution
It introduces a new ensemble related to thinned ensembles, derives the large deviation function for truncated linear statistics, and explores phase behavior with a novel Coulomb gas and fermion mapping.
Findings
Derived the large deviation function for truncated linear statistics.
Identified a phase diagram with three phases for the case f(λ)=1/λ.
Showed the energy of the Coulomb gas is frozen in typical fluctuation regions.
Abstract
Invariant ensembles of random matrices are characterized by the distribution of their eigenvalues . We study the distribution of truncated linear statistics of the form with . This problem has been considered by us in a previous paper when the eigenvalues are further constrained to be the largest ones (or the smallest). In this second paper we consider the same problem without this restriction which leads to a rather different analysis. We introduce a new ensemble which is related, but not equivalent, to the "thinned ensembles" introduced by Bohigas and Pato. This question is motivated by the study of partial sums of proper time delays in chaotic quantum dots, which are characteristic times of the scattering process. Using the Coulomb gas technique, we derive the large deviation function for .…
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