Distribution of spectral linear statistics on random matrices beyond the large deviation function -- Wigner time delay in multichannel disordered wires
Aur\'elien Grabsch, Christophe Texier

TL;DR
This paper investigates the distribution of linear spectral statistics in random matrices, proposing a conjecture for the pre-exponential factor in the distribution, and applies it to analyze Wigner time delay in disordered wires.
Contribution
It introduces a conjecture for the pre-exponential function in spectral statistic distributions and applies Coulomb gas techniques to analyze Wigner time delay in disordered systems.
Findings
Conjectured the form of the pre-exponential function in spectral statistic distributions.
Validated the conjecture on Laguerre and Jacobi ensembles.
Applied the results to Wigner time delay, revealing the importance of the pre-exponential factor.
Abstract
An invariant ensemble of random matrices can be characterised by a joint distribution for eigenvalues . The study of the distribution of linear statistics, i.e. of quantities of the form where is a given function, appears in many physical problems. In the limit, scales as , where the scaling exponent depends on the ensemble and the function . Its distribution can be written under the form , where is the Dyson index. The Coulomb gas technique naturally provides the large deviation function , which can be efficiently obtained thanks to a "thermodynamic identity" introduced earlier. We conjecture the pre-exponential function . We check our…
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Taxonomy
TopicsRandom Matrices and Applications · Quantum optics and atomic interactions · Spectral Theory in Mathematical Physics
