Experimental evidence for Levy statistics in single-molecule spectroscopy in a low-temperature glass-manifestation of long-range interactions

被引:7
|
作者
Barkai, E [1 ]
Naumov, AV
Vainer, YG
Bauer, M
Kador, L
机构
[1] Univ Notre Dame, Dept Chem & Biochem, Notre Dame, IN 46556 USA
[2] Russian Acad Sci, Inst Spect, Troitsk 142190, Moscow Region, Russia
[3] Univ Bayreuth, Inst Phys, D-95440 Bayreuth, Germany
[4] Univ Bayreuth, BIMF, D-95440 Bayreuth, Germany
关键词
single-molecule spectroscopy; low-temperature glass; Levy statistics; long-range interaction;
D O I
10.1016/j.jlumin.2003.12.043
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
We demonstrate that the statistical behavior of the random line shapes of single tetra-tert-butylterrylene chromophores embedded in an amorphous polyisobutylene matrix at T = 2 K is described by Levy statistics. Recently, Barkai et al., suggested to characterize random line shapes of single molecules in glasses by their cumulants K-1, K-2, K-3, etc. Using Geva-Skinner model for single-molecule spectroscopy in low-temperature glasses, which is based on the standard tunneling model, the theory predicts that probability densities P((K1)), P(K-2), etc., are Levy stable laws provided that the glass dynamics is described by a slow modulation limit. Analyzing our experimental data we show that the distributions of the first two cumulants are indeed compatible with Levy statistics; thus, the generalized central limit theorem is applicable to this system. The emergence of Levy stable laws in this system is due to long-range interactions between two-level systems and the single molecule. The widths of the distribution functions P((K1)) and P((K2)) are non-universal in the sense that they depend on the coupling of the molecule to the host glass. We investigate a universal amplitude ratio (i.e., ratio of widths) which shows that our results are in agreement with the assumptions of the standard tunneling model of low-temperature glasses. We briefly discuss other long-range interacting systems and models, for which Levy statistics plays an important role. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:21 / 31
页数:11
相关论文
共 3 条