Semiclassical theory of non-local statistical measures: residual Coulomb interactions

TL;DR

This paper develops a semiclassical theory for non-local statistical measures in chaotic billiards, improving fluctuation predictions over the random plane wave approach and addressing its shortcomings.

Contribution

It provides a comprehensive semiclassical framework for non-local measures, highlighting its advantages over the random plane wave method and extending analysis to non-fully chaotic systems.

Findings

Semiclassical theory yields better fluctuation approximations than random plane wave approach.

Theories agree on measure averages but differ on fluctuation predictions.

Identifies key shortcomings of the random plane wave approach.

Abstract

In a recent letter [Phys. Rev. Lett. {\bf 100}, 164101 (2008)] and within the context of quantized chaotic billiards, random plane wave and semiclassical theoretical approaches were applied to an example of a relatively new class of statistical measures, i.e. measures involving both complete spatial integration and energy summation as essential ingredients. A quintessential example comes from the desire to understand the short-range approximation to the first order ground state contribution of the residual Coulomb interaction. Billiards, fully chaotic or otherwise, provide an ideal class of systems on which to focus as they have proven to be successful in modeling the single particle properties of a Landau-Fermi liquid in typical mesoscopic systems, i.e. closed or nearly closed quantum dots. It happens that both theoretical approaches give fully consistent results for measure averages, but that somewhat surprisingly for fully chaotic systems the semiclassical theory gives a much improved approximation for the fluctuations. Comparison of the theories highlights a couple of key shortcomings inherent in the random plane wave approach. This paper contains a complete account of the theoretical approaches, elucidates the two shortcomings of the oft-relied-upon random plane wave approach, and treats non-fully chaotic systems as well.