Spectral fluctuation characterization of random matrix ensembles through wavelets

Abstract

A recently developed wavelet based approach is employed to characterize the scaling behaviour of spectral fluctuations of random matrix ensembles, as well as complex atomic systems. Our study clearly reveals anti-persistent behaviour and supports the Fourier power spectral analysis. It also finds evidence for multi-fractal nature in the atomic spectra. The multi-resolution and localization nature of the discrete wavelets ideally characterizes the fluctuations in these time series, some of which are not stationary. © 2006 IOP Publishing Ltd.