English

Number statistics for $\beta$-ensembles of random matrices: applications to trapped fermions at zero temperature

Statistical Mechanics 2016-09-15 v1 Disordered Systems and Neural Networks Quantum Gases Mathematical Physics math.MP Probability

Abstract

Let Pβ(V)(NI)\mathcal{P}_{\beta}^{(V)} (N_{\cal I}) be the probability that a N×NN\times N β\beta-ensemble of random matrices with confining potential V(x)V(x) has NIN_{\cal I} eigenvalues inside an interval I=[a,b]{\cal I}=[a,b] of the real line. We introduce a general formalism, based on the Coulomb gas technique and the resolvent method, to compute analytically Pβ(V)(NI)\mathcal{P}_{\beta}^{(V)} (N_{\cal I}) for large NN. We show that this probability scales for large NN as Pβ(V)(NI)exp(βN2ψ(V)(NI/N))\mathcal{P}_{\beta}^{(V)} (N_{\cal I})\approx \exp\left(-\beta N^2 \psi^{(V)}(N_{\cal I} /N)\right), where β\beta is the Dyson index of the ensemble. The rate function ψ(V)(kI)\psi^{(V)}(k_{\cal I}), independent of β\beta, is computed in terms of single integrals that can be easily evaluated numerically. The general formalism is then applied to the classical β\beta-Gaussian (I=[L,L]{\cal I}=[-L,L]), β\beta-Wishart (I=[1,L]{\cal I}=[1,L]) and β\beta-Cauchy (I=[L,L]{\cal I}=[-L,L]) ensembles. Expanding the rate function around its minimum, we find that generically the number variance Var(NI){\rm Var}(N_{\cal I}) exhibits a non-monotonic behavior as a function of the size of the interval, with a maximum that can be precisely characterized. These analytical results, corroborated by numerical simulations, provide the full counting statistics of many systems where random matrix models apply. In particular, we present results for the full counting statistics of zero temperature one-dimensional spinless fermions in a harmonic trap.

Keywords

Cite

@article{arxiv.1601.03178,
  title  = {Number statistics for $\beta$-ensembles of random matrices: applications to trapped fermions at zero temperature},
  author = {Ricardo Marino and Satya N. Majumdar and Gregory Schehr and Pierpaolo Vivo},
  journal= {arXiv preprint arXiv:1601.03178},
  year   = {2016}
}

Comments

34 pages, 19 figures