Particle diagrams and statistics of many-body random potentials

Rupert A Small, Sebastian Muller

Research output: Contribution to journalArticle (Academic Journal)peer-review

6 Citations (Scopus)

Abstract

We present a method using Feynman-like diagrams to calculate the statistical properties of random many-body potentials. This method provides a promising alternative to existing techniques typically applied to this class of problems, such as the method of supersymmetry and the eigenvector expansion technique pioneered in Benet et al. (2001). We use it here to calculate the fourth, sixth and eighth moments of the average level density for systems with m bosons or fermions that interact through a random k-body Hermitian potential (k≤m); the ensemble of such potentials with a Gaussian weight is known as the embedded Gaussian Unitary Ensemble (eGUE) (Mon and French, 1975). Our results apply in the limit where the number l of available single-particle states is taken to infinity. A key advantage of the method is that it provides an efficient way to identify only those expressions which will stay relevant in this limit. It also provides a general argument for why these terms have to be the same for bosons and fermions. The moments are obtained as sums over ratios of binomial expressions, with a transition from moments associated to a semi-circular level density for m<2k to Gaussian moments in the dilute limit k≪m≪l. Regarding the form of this transition, we see that as m is increased, more and more diagrams become relevant, with new contributions starting from each of the points m=2k,3k,…,nk for the 2n-th moment.
Original languageEnglish
Pages (from-to)269–298
Number of pages20
JournalAnnals of Physics
Volume356
Early online date14 Mar 2015
DOIs
Publication statusPublished - May 2015

Keywords

  • particle diagrams
  • random matrix theory
  • MANY-BODY

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