The average inter-crossing number of equilateral random walks and polygons

Details

Serval ID
serval:BIB_31F454720298
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
The average inter-crossing number of equilateral random walks and polygons
Journal
Journal of Physics A: Mathematical and General
Author(s)
Diao  Y., Dobay  A., Stasiak  A.
Publication state
Published
Issued date
2005
Volume
38
Number
35
Pages
7601-7616
Language
english
Abstract
Abstract. In this paper, we study the average inter-crossing number between two random walks and two random polygons in the three-dimensional space. The random walks and polygons in this paper are the so-called equilateral random walks and polygons in which each segment of the walk or polygon is of unit length. We show that the mean average inter-crossing number ICN between two equilateral random walks of the same length n is approximately linear in terms of n and we were able to determine the prefactor of the linear term, which is . In the case of two random polygons of length n, the mean average inter-crossing number ICN is also linear, but the prefactor of the linear term is different from that of the random walks. These approximations apply when the starting points of the random walks and polygons are of a distance ρ apart and ρ is small compared to n. We propose a fitting model that would capture the theoretical asymptotic behaviour of the mean average ICN for large values of ρ. Our simulation result shows that the model in fact works very well for the entire range of ρ. We also study the mean ICN between two equilateral random walks and polygons of different lengths. An interesting result is that even if one random walk (polygon) has a fixed length, the mean average ICN between the two random walks (polygons) would still approach infinity if the length of the other random walk (polygon) approached infinity. The data provided by our simulations match our theoretical predictions very well.
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Create date
24/01/2008 10:36
Last modification date
20/08/2019 13:17
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