English

Generalized Lyapunov exponent of random matrices and universality classes for SPS in 1D Anderson localisation

Disordered Systems and Neural Networks 2020-09-01 v2

Abstract

Products of random matrix products of SL(2,R)\mathrm{SL}(2,\mathbb{R}), corresponding to transfer matrices for the one-dimensional Schr\"odinger equation with a random potential VV, are studied. I consider both the case where the potential has a finite second moment V2<\langle V^2\rangle<\infty and the case where its distribution presents a power law tail p(V)V1αp(V)\sim|V|^{-1-\alpha} for 0<α<20<\alpha<2. I study the generalized Lyapunov exponent of the random matrix product (i.e. the cumulant generating function of the logarithm of the wave function). In the high energy/weak disorder limit, it is shown to be given by a universal formula controlled by a unique scale (single parameter scaling). For V2<\langle V^2\rangle<\infty, one recovers Gaussian fluctuations with the variance equal to the mean value: γ2γ1\gamma_2\simeq\gamma_1. For V2=\langle V^2\rangle=\infty, one finds γ2(2/α)γ1\gamma_2\simeq(2/\alpha)\,\gamma_1 and non Gaussian large deviations, related to the universal limiting behaviour of the conductance distribution W(g)g1+α/2W(g)\sim g^{-1+\alpha/2} for g0g\to0.

Keywords

Cite

@article{arxiv.1910.01989,
  title  = {Generalized Lyapunov exponent of random matrices and universality classes for SPS in 1D Anderson localisation},
  author = {Christophe Texier},
  journal= {arXiv preprint arXiv:1910.01989},
  year   = {2020}
}

Comments

6 pages, LaTeX