Comparison between simultaneous and sequential updating in 2n+1−1 cellular automata
G. Le Caër
Physica A: Statistical Mechanics and its Applications, 1989, vol. 157, issue 2, 669-687
Abstract:
Properties of cellular automata with Packard-Wolfram code 2n+1-1 have been studied without and with noise on square (n = 4) and triangular (n = 6) lattices. The outer totalistic rule used assign a central spin opposite to the majority spin of its neighbourhood and flips it in the case of equality. Starting from random configurations with a variable proportion r of up spins, different relaxation behaviours and equilibrium structures are obtained: a ferromagnetic (F) structure and an antiferromagnetic (AF) structure for simultaneous and sequential updatings respectively on a square lattice. When the spins are processed simultaneously in the presence of noise, a first-order transition F → AF is observed for a square lattice and a second-order transition for a triangular lattice. The results show similarities with Ising models (domains) but also strong differences (magnetization as a function of r).
Date: 1989
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0378437189900617
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:157:y:1989:i:2:p:669-687
DOI: 10.1016/0378-4371(89)90061-7
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().