Abstract

We study the distribution of the nn-th energy level for two different one-dimensional random potentials. This distribution is shown to be related to the distribution of the distance between two consecutive nodes of the wave function. We first consider the case of a white noise potential and study the distributions of energy level both in the positive and the negative part of the spectrum. It is demonstrated that, in the limit of a large system (Lβ†’βˆžL\to\infty), the distribution of the nn-th energy level is given by a scaling law which is shown to be related to the extreme value statistics of a set of independent variables. In the second part we consider the case of a supersymmetric random Hamiltonian (potential V(x)=Ο•(x)2+Ο•β€²(x)V(x)=\phi(x)^2+\phi'(x)). We study first the case of Ο•(x)\phi(x) being a white noise with zero mean. It is in particular shown that the ground state energy, which behaves on average like expβ‘βˆ’L1/3\exp{-L^{1/3}} in agreement with previous work, is not a self averaging quantity in the limit Lβ†’βˆžL\to\infty as is seen in the case of diagonal disorder. Then we consider the case when Ο•(x)\phi(x) has a non zero mean value.Comment: LaTeX, 33 pages, 9 figure

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    Last time updated on 05/06/2019