English

Symmetry breaking between statistically equivalent, independent channels in a few-channel chaotic scattering

Disordered Systems and Neural Networks 2011-10-06 v1 Mesoscale and Nanoscale Physics

Abstract

We study the distribution function P(ω)P(\omega) of the random variable ω=τ1/(τ1+...+τN)\omega = \tau_1/(\tau_1 + ... + \tau_N), where τk\tau_k's are the partial Wigner delay times for chaotic scattering in a disordered system with NN independent, statistically equivalent channels. In this case, τk\tau_k's are i.i.d. random variables with a distribution Ψ(τ)\Psi(\tau) characterized by a "fat" power-law intermediate tail 1/τ1+μ\sim 1/\tau^{1 + \mu}, truncated by an exponential (or a log-normal) function of τ\tau. For N=2N = 2 and N=3, we observe a surprisingly rich behavior of P(ω)P(\omega) revealing a breakdown of the symmetry between identical independent channels. For N=2, numerical simulations of the quasi one-dimensional Anderson model confirm our findings.

Keywords

Cite

@article{arxiv.1109.1279,
  title  = {Symmetry breaking between statistically equivalent, independent channels in a few-channel chaotic scattering},
  author = {C. Mejia-Monasterio and G. Oshanin and G. Schehr},
  journal= {arXiv preprint arXiv:1109.1279},
  year   = {2011}
}

Comments

4 pages, 5 figures