Boundary conditions, phase distribution and hidden symmetry in 1D localization

I. M. Suslov
Condensed Matter, Disordered Systems and Neural Networks, Disordered Systems and Neural Networks (cond-mat.dis-nn), Mesoscale and Nanoscale Physics (cond-mat.mes-hall), Statistical Mechanics (cond-mat.stat-mech)
J. Exp. Theor. Phys. 135, 726-741 (2022) [Zh. Eksp. Teor. Fiz. 162, 750-766 (2022)]
2023-10-19 16:00:00
One-dimensional disordered systems with a random potential of a small amplitude and short-range correlations are considered near the initial band edge. The evolution equation is obtained for the mutual ditribution P(\rho,\psi) of the Landauer resistance \rho and the phase variable \psi=\theta-\varphi (\theta and \varphi are phases entering the transfer matrix), when the system length L is increased. In the large L limit, the equation allows separation of variables, which provides the existence of the stationary distribution P(\psi), determinative the coefficients in the evolution equation for P(\rho). The limiting distribution P(\rho) for L\to\infty is log-normal and does not depend on boundary conditions. It is determined by the 'internal' phase distribution, whose form is established in the whole energy range including the forbidden band of the initial crystal. The random phase approximation is valid in the deep of the allowed band, but strongly violated for other energies. The phase \psi appears to be a 'bad' variable, while the 'correct' vaiable is \omega=-ctg (psi/2). The form of the stationary distribution P(\omega) is determined by the internal properties of the system and is independent of boundary conditions. Variation of the boundary conditions leads to the scale transformation \omega\to s\omega and translations \omega \to \omega+\omega_0 and \psi\to\psi+\psi_0, which determinates the 'external' phase distribution, entering the evolution equations. Independence of the limiting distribution P(\rho) on the external distribution P(\psi) allows to say on the hidden symmetry, whose character is revealed below.
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