Eigenfunction and eigenmode-spacing statistics in chaotic photonic crystal graphs

Abstract

The statistical properties of wave chaotic systems of varying dimensionalities and realizations have been studied extensively. These systems are commonly characterized by the statistics of the short-range and long-range eigenmode-spacing, and the one-point and two-point eigenfunction correlations. Here, we propose photonic crystal (PC) defect waveguide graphs as an alternative physical system for chaotic graph studies. Photonic crystal graphs have two novel features, namely an unusual dispersion relation for the propagating modes, and complex scattering properties of the junctions and bends. Recent studies reveal that chaotic graphs possess non-universal properties, which may be better analyzed and understood through eigenfunction analysis. Here we present numerically determined properties of an ensemble of such PC-graphs including both eigenfunction amplitude and eigenmode-spacing studies. Our proposed system is amenable to other statistical studies, and may be realized experimentally.