2003
DOI: 10.1007/s00220-002-0757-5
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Delocalization in Random Polymer Models

Abstract: A random polymer model is a one-dimensional Jacobi matrix randomly composed of two finite building blocks. If the two associated transfer matrices commute, the corresponding energy is called critical. Such critical energies appear in physical models, an example being the widely studied random dimer model. It is proven that the Lyapunov exponent vanishes quadratically at a generic critical energy and that the density of states is positive there. Large deviation estimates around these asymptotics allow to prove … Show more

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Cited by 91 publications
(176 citation statements)
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“…However, in the random dimer model, this probability is polynomially small for some β < 1. In fact, there are similar transport exponentsβ þ ðpÞ, related to timeaveraged pth moments of the position operator, which characterize when this is the case and which were determined explicitly in [39,40].…”
Section: Prl 113 127202 (2014) P H Y S I C a L R E V I E W L E T T Ementioning
confidence: 87%
“…However, in the random dimer model, this probability is polynomially small for some β < 1. In fact, there are similar transport exponentsβ þ ðpÞ, related to timeaveraged pth moments of the position operator, which characterize when this is the case and which were determined explicitly in [39,40].…”
Section: Prl 113 127202 (2014) P H Y S I C a L R E V I E W L E T T Ementioning
confidence: 87%
“…In the zero mass case (m = 0) the operators ID ω (0, c), ω ∈ Ω, presents critical energies E V = ±V for V ∈ (0, c] , V = c/ √ 2, as defined in [18], since either…”
Section: Toolsmentioning
confidence: 99%
“…It was also numerically found in [13] and rigorously shown in [10,18] the existence of critical energies (in the sense of [18]; see ahead) at which the Lyapunov exponent vanishes; dynamical localization was obtained in [10] only after projecting onto closed energy intervals not containing such critical energies. Despite the similarity between the transfer matrices of the two models, it is not immediate the adaptation of the localization (delocalization) results to the BernoulliDirac model and each step needs to be verified; here, many points will not be detailed when they follow exactly the same lines of their Schrödinger counterpart.…”
Section: Introductionmentioning
confidence: 98%
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