Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12202/4846
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dc.contributor.authorTorres-Herrera, E. Jonathan
dc.contributor.authorMéndez-Bermúdez, J. A.
dc.contributor.authorSantos, Lea F.
dc.date.accessioned2020-01-07T20:57:56Z
dc.date.available2020-01-07T20:57:56Z
dc.date.issued2019-09-12
dc.identifier.citationTorres-Herrera, E. Jonathan ; Méndez-Bermúdez, J. A. ; Santos, Lea F. (2019). Level Repulsion and Dynamics in the Finite One-Dimensional Anderson Model. Phys. Rev. E 100, 022142 (2019)en_US
dc.identifier.issn0959-8472
dc.identifier.urihttps://arxiv.org/pdf/1904.11989.pdfen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12202/4846
dc.descriptionScholarly article (pre-print)en_US
dc.description.abstractThis work shows that dynamical features typical of full random matrices can be observed also in the simple finite one-dimensional (1D) noninteracting Anderson model with nearest neighbor couplings. In the thermodynamic limit, all eigenstates of this model are exponentially localized in configuration space for any infinitesimal onsite disorder strength W. But this is not the case when the model is finite and the localization length is larger than the system size L, which is a picture that can be experimentally investigated. We analyze the degree of energy-level repulsion, the structure of the eigenstates, and the time evolution of the finite 1D Anderson model as a function of the parameter ξ∝(W2L)−1. As ξ increases, all energy-level statistics typical of random matrix theory are observed. The statistics are reflected in the corresponding eigenstates and also in the dynamics. We show that the probability in time to find a particle initially placed on the first site of an open chain decays as fast as in full random matrices and much faster that when the particle is initially placed far from the edges. We also see that at long times, the presence of energy-level repulsion manifests in the form of the correlation hole. In addition, our results demonstrate that the hole is not exclusive to random matrix statistics, but emerges also for W=0, when it is in fact deeper.en_US
dc.description.sponsorshipACKNOWLEDGMENTS E.J.T.-H. and J.A.M.-B. acknowledge funding from VIEP-BUAP (Grant Nos. MEBJ-EXC19-G, LUAG-EXC19-G, and CELU-EXC19-I), Mexico. They are also grateful to LNS-BUAP for allowing the use of the su-percomputing facility. L.F.S. was supported by the NSF Grant No. DMR-1603418.en_US
dc.language.isoen_USen_US
dc.publisherPhilip Allan Publishers Limiteden_US
dc.relation.ispartofseriesPhys. Rev. E;100
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectDisordered Systems and Neural Networks (cond-mat.dis-nn)en_US
dc.titleLevel Repulsion and Dynamics in the Finite One-Dimensional Anderson Model.en_US
dc.typeArticleen_US
dc.contributor.orcid0000-0001-9400-2709
local.yu.facultypagehttps://www.yu.edu/faculty/pages/santos-lea
Appears in Collections:Stern College for Women -- Faculty Publications

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