English

Small-world phenomena and the statistics of linear polymer networks

Statistical Mechanics 2009-11-07 v2

Abstract

A regular lattice in which the sites can have long range connections at a distance l with a probabilty P(l)lδP(l) \sim l^{-\delta}, in addition to the short range nearest neighbour connections, shows small-world behaviour for 0δ<δc0 \le \delta < \delta_c. In the most appropriate physical example of such a system, namely the linear polymer network, the exponent δ\delta is related to the exponents of the corresponding n-vector model in the n0n \to 0 limit, and its value is less than δc\delta_c. Still, the polymer networks do not show small-world behaviour. Here, we show that this is due a (small value) constraint on the number q of long range connections per monomer in the network. In the general δq\delta - q space, we obtain a phase boundary separating regions with and without small-world behaviour, and show that the polymer network falls marginally in the regular lattice region.

Keywords

Cite

@article{arxiv.cond-mat/0105346,
  title  = {Small-world phenomena and the statistics of linear polymer networks},
  author = {Parongama Sen and Bikas K. Chakrabarti},
  journal= {arXiv preprint arXiv:cond-mat/0105346},
  year   = {2009}
}

Comments

Minor corrections in text, Fig. 3 replaced