INFINITE-RANGE MEAN-FIELD PERCOLATION - TRANSFER-MATRIX STUDY OF LONGITUDINAL CORRELATION LENGTH

被引:7
作者
PRIVMAN, V
SCHULMAN, LS
机构
[1] Department of Physics, Clarkson University, Potsdam, 13699-5820, New York
关键词
FINITE SYSTEMS; SCALING; ASYMPTOTIC DEGENERACY;
D O I
10.1007/BF01057874
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Two infinite-range directed percolation models, equivalent also to epidemic models, are considered for a finite population (finite number of sites) N at each "time" (directed axis) step. The general features of the transfer matrix spectrum (evolution operator spectrum for the epidemic) are studied numerically, and compared with analytical predictions in the limit N = infinity. One of the models is devised to allow numerical results to be obtained for N as high as nearly 800 for the largest longitudinal percolation correlation length (relaxation time for epidemic). The finite-N behavior of this correlation length is studied in detail, including scaling near the percolation transition, exponential divergence (with N) above the percolation transition, as well as other noncritical and critical-point properties.
引用
收藏
页码:207 / 226
页数:20
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