Phase Transitions and Edge Scaling of Number Variance in Gaussian Random Matrices

Ricardo Marino, Satya N. Majumdar, Grégory Schehr, and Pierpaolo Vivo
Phys. Rev. Lett. 112, 254101 – Published 26 June 2014
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Abstract

We consider N×N Gaussian random matrices, whose average density of eigenvalues has the Wigner semicircle form over [2,2]. For such matrices, using a Coulomb gas technique, we compute the large N behavior of the probability PN,L(NL) that NL eigenvalues lie within the box [L,L]. This probability scales as PN,L(NL=κLN)exp(βN2ψL(κL)), where β is the Dyson index of the ensemble and ψL(κL) is a β-independent rate function that we compute exactly. We identify three regimes as L is varied: (i) N1L<2 (bulk), (ii) L2 on a scale of O(N2/3) (edge), and (iii) L>2 (tail). We find a dramatic nonmonotonic behavior of the number variance VN(L) as a function of L: after a logarithmic growth ln(NL) in the bulk (when LO(1/N)), VN(L) decreases abruptly as L approaches the edge of the semicircle before it decays as a stretched exponential for L>2. This “dropoff” of VN(L) at the edge is described by a scaling function V˜β that smoothly interpolates between the bulk (i) and the tail (iii). For β=2 we compute V˜2 explicitly in terms of the Airy kernel. These analytical results, verified by numerical simulations, directly provide for β=2 the full statistics of particle-number fluctuations at zero temperature of 1D spinless fermions in a harmonic trap.

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  • Received 2 April 2014

DOI:https://doi.org/10.1103/PhysRevLett.112.254101

© 2014 American Physical Society

Authors & Affiliations

Ricardo Marino, Satya N. Majumdar, Grégory Schehr, and Pierpaolo Vivo

  • Laboratoire de Physique Théorique et Modéles Statistiques (UMR 8626 du CNRS), Université Paris-Sud, Bâtiment 100, 91405 Orsay Cedex, France

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Vol. 112, Iss. 25 — 27 June 2014

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