2005
DOI: 10.1103/physrevb.72.024208
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Disorder and interactions in one-dimensional systems

Abstract: We present a numerical approach to the study of disorder and interactions in quasi-one-dimensional ͑1D͒ systems which combines aspects of the transfer matrix method and the density matrix renormalization group which have been successfully applied to disorder and interacting problems, respectively. The method is applied to spinless fermions in 1D, and the existence of a conducting state is demonstrated in the presence of attractive interactions.

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Cited by 20 publications
(27 citation statements)
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References 26 publications
(35 reference statements)
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“…Different quantities, such as density fluctuations [26] or the conductance [16], provide a similar estimation of localization effects. However the numerical value of λ ins c might depend weakly on the observable employed [27]. We present results for the density fluctuations,…”
Section: B Localization: Density Fluctuationsmentioning
confidence: 97%
“…Different quantities, such as density fluctuations [26] or the conductance [16], provide a similar estimation of localization effects. However the numerical value of λ ins c might depend weakly on the observable employed [27]. We present results for the density fluctuations,…”
Section: B Localization: Density Fluctuationsmentioning
confidence: 97%
“…While early work established the existence of such a phase [29][30][31][32][33][60][61][62], there is an ongoing discussion on the nature of the transition between the delocalized superfluid and the localized phase (which, in the language of bosons, is a Bose-glass phase [63]). This question is not at the focus of our work and we refer the reader to the pertinent literature for details [46,[64][65][66][67][68][69][70][71][72].…”
Section: Ground-state Propertiesmentioning
confidence: 99%
“…In our original approach [9,10] we extended an existing chain by adding an extra site to each end of the system (figure 1).…”
Section: The Recursive Methodsmentioning
confidence: 99%
“…We have developed a new method [9,10] incorporating some of the ideas of DMRG and the transfer matrix method successfully used in the non-interacting case [11,12]. In this paper we will describe an improvement on that method and a generalization to finite cross-section.…”
Section: Introductionmentioning
confidence: 97%