Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-04-21
JETP, v.101, p.661 (2005) [Zh.Eksp.Teor.Fiz., v.128, p.768 (2005)]
Physics
Condensed Matter
Disordered Systems and Neural Networks
PDF, 15 pages
Scientific paper
10.1134/1.2131934
Roughly half of numerical investigations of the Anderson transition are based on consideration of an associated quasi-1D system and postulation of one-parameter scaling for the minimal Lyapunov exponent. If this algorithm is taken seriously, it leads to unumbiguous prediction of the 2D phase transition. The transition is of the Kosterlitz-Thouless type and occurs between exponential and power law localization (Pichard and Sarma, 1981). This conclusion does not contradict numerical results if the raw data are considered. As for interpretation of these data in terms of one-parameter scaling, such interpretation is inadmissible: the minimal Lyapunov exponent does not obey any scaling. A scaling relation is valid not for minimal, but for some effective Lyapunov exponent, whose dependence on parameters is determined by scaling itself. If finite-size scaling is based on the effective Lyapunov exponent, existence of the 2D transition becomes not definite, but still rather probable. Interpretation of the results in terms of the Gell-Mann -- Low equation is also given.
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