1977
DOI: 10.1088/0305-4470/10/2/009
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Self-avoiding walks on irregular networks

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Cited by 13 publications
(4 citation statements)
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“…Also Derrida [9,10] has argued that a change in all the statistics of the SAW should occur for any amount of disorder, and in particular, one should observe a difference between the mean value and the most probable value of the number of SAW of a given number of steps. In the first simulations on this subject Hiley et al [11] did not observe such an effect, in agreement with authors quoted above [1][2][3][4]. On the contrary, very recently this effect was observed in 2-d Monte Carlo calculations by Roy and Chakrabarti [12].…”
Section: Introductionsupporting
confidence: 83%
See 1 more Smart Citation
“…Also Derrida [9,10] has argued that a change in all the statistics of the SAW should occur for any amount of disorder, and in particular, one should observe a difference between the mean value and the most probable value of the number of SAW of a given number of steps. In the first simulations on this subject Hiley et al [11] did not observe such an effect, in agreement with authors quoted above [1][2][3][4]. On the contrary, very recently this effect was observed in 2-d Monte Carlo calculations by Roy and Chakrabarti [12].…”
Section: Introductionsupporting
confidence: 83%
“…The problem of Self-Avoiding Walks (SAW) on a randomly dilute lattice has been studied a lot recently [1][2][3][4][5][6][7][8][9][10][11][12], leading to conflicting conclusions. According to some authors [1,2], the statistical properties are the same as for the pure system, apart from a trivial renormalization of the connective constant; others [4,5] have obtained similar conclusions, except that they give arguments for a change in the correlation length exponent v at, and only at, the percolation threshold Pc.…”
Section: Introductionmentioning
confidence: 99%
“…Other work [57,58] has explored the structure of random packings in terms of Dirichlet polyhedra -essentially the dual of the Voronoi polyhedra. Theoretical work has elucidated the statistics of self-avoiding walks and closed loops in random close packings [59]. This interestingly concluded that the irregularity did not significantly affect the results obtained from equivalently coordinated defective crystalline systems, confirming that the critical exponents that arise in the self-avoiding walk problem depends on dimensionality rather than structural regularity.…”
Section: Random Packing and Other Systemsmentioning
confidence: 84%
“…What I noticed was that some of these properties, essentially combinatorial in nature, depended only on the dimensionality of the embedding space and not on the detailed structure of the tessellation. In other words, simply by counting embeddings, one could determine the dimensionality of the embedding space [13]. It was only later that I became aware of the fact that the partition function could be obtained much more simply using an algebraic approach used in knot theory.…”
Section: The Common Groundmentioning
confidence: 99%