One Dimensional Chain with Long Range Hopping
Disordered Systems and Neural Networks
2007-05-23 v2
Abstract
The one-dimensional (1D) tight binding model with random nearest neighbor hopping is known to have a singularity of the density of states and of the localization length at the band center. We study numerically the effects of random long range (power-law) hopping with an ensemble averaged magnitude in the 1D chain, while maintaining the particle-hole symmetry present in the nearest neighbor model. We find, in agreement with results of position space renormalization group techniques applied to the random XY spin chain with power-law interactions, that there is a change of behavior when the power-law exponent becomes smaller than 2.
Cite
@article{arxiv.cond-mat/0112437,
title = {One Dimensional Chain with Long Range Hopping},
author = {Chenggang Zhou and R. N. Bhatt},
journal= {arXiv preprint arXiv:cond-mat/0112437},
year = {2007}
}