Renormalization of the two-dimensional Lotka-Volterra model
成果类型:
Article
署名作者:
Cox, J. Theodore; Perkins, Edwin A.
署名单位:
Syracuse University; University of British Columbia
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/07-AAP453
发表日期:
2008
页码:
747-812
关键词:
super-brownian motion
converge
摘要:
We show that renormalized two-dimensional Lotka-Volterra models near criticality converge to a super-Brownian motion. This is used to establish long-term survival of a rare type for a range of parameter values near the voter model.