Spectral order statistics of Gaussian random matrices: large deviations for trapped fermions and associated phase transitions
arXiv:1407.3155 · doi:10.1103/PhysRevE.90.040102
Abstract
We compute the full order statistics of a one-dimensional gas of fermions in a harmonic trap at zero temperature, including its large deviation tails. The problem amounts to computing the probability distribution of the th smallest eigenvalue of a large dimensional Gaussian random matrix. We find that this probability behaves for large as , where is the Dyson index of the ensemble. The rate function , computed explicitly as a function of in terms of the intensive label , has a quadratic behavior modulated by a weak logarithmic singularity at its minimum. This is shown to be related to phase transitions in the associated Coulomb gas problem. The connection with statistics of extreme eigenvalues of random matrices is also elucidated.
5 pages, 3 figures. Version 2: author list changed, acknowledges changed
References in corpus (15)
- Many-Body Physics with Ultracold Gases
- Theory of ultracold Fermi gases
- Large Deviations of Extreme Eigenvalues of Random Matrices
- Extreme Value Statistics of Eigenvalues of Gaussian Random Matrices
- Full counting statistics in a propagating quantum front and random matrix spectra
- The entanglement entropy of one-dimensional gases
- Large Deviations of the Maximum Eigenvalue for Wishart and Gaussian Random Matrices
- Statistical distribution of quantum entanglement for a random bipartite state
- Large Deviations of the Maximum Eigenvalue in Wishart Random Matrices
- Distributions of Conductance and Shot Noise and Associated Phase Transitions
- Phase transitions and edge scaling of number variance in Gaussian random matrices
- Critical Behaviour of the Number of Minima of a Random Landscape at the Glass Transition Point and the Tracy-Widom distribution
- Universal Order and Gap Statistics of Critical Branching Brownian Motion
- Large deviations of the top eigenvalue of large Cauchy random matrices
- Decomposition of spectral density in individual eigenvalue contributions