Poisson to GOE transition in the distribution of the ratio of consecutive level spacings
arXiv:1405.6321 · doi:10.1016/j.physleta.2014.08.021
Abstract
Probability distribution for the ratio () of consecutive level spacings of the eigenvalues of a Poisson (generating regular spectra) spectrum and that of a GOE random matrix ensemble are given recently. Going beyond these, for the ensemble generated by the Hamiltonian interpolating Poisson () and GOE () we have analyzed the transition curves for and as changes from to ; . Here, is a GOE ensemble of real symmetric matrices and is a diagonal matrix with a Gaussian distribution (with mean equal to zero) for the diagonal matrix elements; spectral variance generated by is assumed to be same as the one generated by . Varying from 300 to 1000, it is shown that the transition parameter is , i.e. the vs (similarly for vs ) curves for different 's merge to a single curve when this is considered as a function of . Numerically, it is also found that this transition curve generates a mapping to a Poisson to GOE random matrix ensemble. Example for Poisson to GOE transition from a one dimensional interacting spin-1/2 chain is presented.
9 Pages, 5 figures
References in corpus (6)
- Many-Body Physics with Ultracold Gases
- Localization of interacting fermions at high temperature
- The distribution of the ratio of consecutive level spacings in random matrix ensembles
- Quantum Simulation of Antiferromagnetic Spin Chains in an Optical Lattice
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