Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2010-09-02
Phys. Rev. B 82 113412 (2010)
Physics
Condensed Matter
Disordered Systems and Neural Networks
Scientific paper
10.1103/PhysRevB.82.113412
The generalization of the Dorokhov-Mello-Pereyra-Kumar equation for the description of transport in strongly disordered systems replaces the symmetry parameter $\beta$ by a new parameter $\gamma$, which decreases to zero when the disorder strength increases. We show numerically that although the value of $\gamma$ strongly influences the statistical properties of transport parameters $\Delta$ and of the energy level statistics, the form of their distributions always depends on the symmetry parameter $\beta$ even in the limit of strong disorder. In particular, the probability distribution is $p(\Delta)\sim \Delta^\beta$ when $\Delta\to 0$ and $p(\Delta) \sim \exp (-c\Delta^2)$ in the limit $\Delta\to\infty$.
Markos Peter
Schweitzer Ludwig
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