INVESTIGATION OF THE END-TO-END DISTANCE DISTRIBUTION FUNCTION FOR RANDOM AND SELF-AVOIDING WALKS IN 2 AND 3 DIMENSIONS

被引:51
作者
BISHOP, M [1 ]
CLARKE, JHR [1 ]
机构
[1] MANHATTAN COLL,DEPT MATH COMP SCI,RIVERDALE,NY 10471
关键词
D O I
10.1063/1.460670
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Monte Carlo simulations employing the pivot algorithm are used to generate random and self-avoiding walks on two- and three-dimensional lattices. The moments of the end-to-end distance distribution function are calculated from the resulting configurations. It is found that the moments and the shape of the vector distribution function are in excellent agreement with the scaling form derived by des Cloizeaux.
引用
收藏
页码:3936 / 3942
页数:7
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