Interacting Stochastic Systems
DOI: 10.1007/3-540-27110-4_6
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Spectral Theory for Nonstationary Random Potentials

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Cited by 8 publications
(8 citation statements)
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“…Note that the non-stationarity can be satisfied for α ≥ 1. In addition, the LDT with mobility edges, has been found numerically for the onedimensional tight-binding model with the FFM model as the potential strength W decreases [16,17,18,19,20,21,22].…”
Section: Introductionmentioning
confidence: 92%
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“…Note that the non-stationarity can be satisfied for α ≥ 1. In addition, the LDT with mobility edges, has been found numerically for the onedimensional tight-binding model with the FFM model as the potential strength W decreases [16,17,18,19,20,21,22].…”
Section: Introductionmentioning
confidence: 92%
“…The explicit form becomes, C(a, n, m) = < V (n)V (m) > < V (n) 2 > , (17) Figure 11 shows the autocorrelation function C(a = 2, r) given by Eq. (16) for various values of some fractal dimensions. It follows that the correlation function rapidly decays with complex fluctuation for D = 1.9.…”
Section: A Correlation Functionmentioning
confidence: 99%
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“…Using a Laplace transform they studied the asymptotic behaviour of the integrated density of surface states for random Gaussian surface potentials. In [6], Bócker-Werner-Stollmann review some results on the spectral theory of non-stationary random potentials (see also [9]). They present various models with decaying and sparse random potentials, including those where the sparse set itself is random.…”
Section: Introductionmentioning
confidence: 99%
“…A vast amount of literature has been carried out toward the spectral structure on the random Schrödinger operator (1.1) as well as its discrete analog. See [4,5,7,8,18,21,22,23,24] and references therein. However, there is very few work on Lifshitz tails for the random Schrödinger operator (1.1) and its discrete version.…”
Section: Introductionmentioning
confidence: 99%