Position and Orientation Distributions for Non-Reversal Random Walks using Space-Group Fourier Transforms
This paper presents an efficient group-theoretic approach for computing the statistics of non-reversal random walks (NRRW) on lattices. These framed walks evolve on proper crystallographic space groups. In a previous paper we introduced a convolution method for computing the statistics of NRRWs in w...
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Published in | Journal of algebraic statistics Vol. 1; no. 1; p. 27 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Turkey
01.01.2010
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Online Access | Get more information |
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Summary: | This paper presents an efficient group-theoretic approach for computing the statistics of non-reversal random walks (NRRW) on lattices. These framed walks evolve on proper crystallographic space groups. In a previous paper we introduced a convolution method for computing the statistics of NRRWs in which the convolution product is defined relative to the space-group operation. Here we use the corresponding concept of the fast Fourier transform for functions on crystallographic space groups together with a non-Abelian version of the convolution theorem. We develop the theory behind this technique and present numerical results for two-dimensional and three-dimensional lattices (square, cubic and diamond). In order to verify our results, the statistics of the end-to-end distance and the probability of ring closure are calculated and compared with results obtained in the literature for the random walks for which closed-form expressions exist. |
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ISSN: | 1309-3452 1309-3452 |
DOI: | 10.18409/jas.v1i1.6 |