journals.iop.org home page electronic journals * User guide   * Site map   | Quick Search:Help  
Journal of Physics A: Mathematical and General
Athens/Institutional login
IOP login: Password:   
Create account | Alerts | Contact us
Journals Home | Journals List | EJs Extra | This Journal | Search | Authors | Referees | Librarians | User Options | Help |

Series expansions for the percolation probability of a generalized Domany - Kinzel cellular automaton

Iwan Jensen 1997 J. Phys. A: Math. Gen. 30 8471-8478   doi: 10.1088/0305-4470/30/24/012  Help

   PDF (113 KB) | Gzipped PS (74 KB) | References | Articles citing this article

Iwan Jensen
Department of Mathematics and Statistics, University of Melbourne, Parkville, Victoria 3052, Australia

Abstract. Series expansions have been derived for the percolation probability of a generalized Domany - Kinzel cellular automaton with two equivalent absorbing states. The analysis of the series generally yields estimates of the critical exponent , consistent with earlier Monte Carlo studies thus confirming that the model belongs to the same universality class as branching annihilating random walks with an even number of offspring. There is evidence to suggest that when the probability of spreading from two active sites becomes small a new critical behaviour emerges.

Print publication: Issue 24 (21 December 1997)
Received 8 September 1997

Bookmark and Share Post to CiteUlike | Post to Connotea | Post to Bibsonomy

 

Find related articles





Article options

Authors & Referees

NJP 10th Anniversary highlightsauthor services
 
Content finder
  Full Search
  Help


  
Setup information is available for Adobe Acrobat and Gzip compressed PostScript.
EndNote, ProCite ® and Reference Manager ® are registered trademarks of ISI Researchsoft.
Copyright © Institute of Physics and IOP Publishing Limited 2008.
Use of this service is subject to compliance with the terms and conditions of use. In particular, reselling and systematic downloading of files is prohibited.
Help: Cookies | Data Protection.
 
Impactt factor banner