Published August 20, 2004 | Version v1
Journal article

Distribution of the distance between opposite nodes of random polygons with a fixed knot

  • 1. Department of Physics, Faculty of Science and Engineering, Chuo University, 1-13-27 Kasuga, Bunkyo-ku, Tokyo 112-8551 (Japan)
  • 2. Geographic Information Systems Department, Hitachi Software Engineering Co., Ltd., 4-12-7 Higashishinagawa, Shinagawa-ku, Tokyo 140-0002 (Japan)
  • 3. Department of Physics, Faculty of Science, Ochanomizu University, 2-1-1 Ohtsuka, Bunkyo-ku, Tokyo 112-8610 (Japan)

Description

We examine numerically the distribution function fK(r) of the distance r between opposite polygonal nodes for random polygons of N nodes with a fixed knot type K. Here we consider three knots such as , 31 and 31 sharp 31. In a wide range of r, the shape of fK(r) is well fitted by the scaling form [1] of self-avoiding walks. The fit yields the Gaussian exponents νK=1/2 and γK = 1. Furthermore, if we re-scale the intersegment distance r by the average size RK of random polygons of knot K, the distribution function of the variable r/RK should become the same Gaussian distribution for any large value of N and any knot K. We also introduce a fitting formula to the distribution gK(R) of gyration radius R for random polygons under some topological constraint K

Availability note (English)

Available online at http://stacks.iop.org/0305-4470/37/7993/a4_33_002.pdf or at the Web site for the Journal of Physics. A, Mathematical and General (ISSN 1361-6447) http://www.iop.org/

Additional details

Publishing Information

Journal Title
Journal of Physics. A, Mathematical and General
Journal Volume
37
Journal Issue
33
Journal Page Range
p. 7993-8006
ISSN
0305-4470
CODEN
JPHAC5

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
36029625
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
DISTANCE; DISTRIBUTION FUNCTIONS; GAUSS FUNCTION; GRAPH THEORY; NUMERICAL ANALYSIS; RANDOMNESS; TOPOLOGY
Descriptors DEC
FUNCTIONS; MATHEMATICS