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Clustering Behavior of a Continuous-Sites Stepping-Stone Model with Brownian Migration

  
@article{EJP141,
	author = {Xiaowen Zhou},
	title = {Clustering Behavior of a Continuous-Sites Stepping-Stone Model with Brownian Migration},
	journal = {Electron. J. Probab.},
	fjournal = {Electronic Journal of Probability},
	volume = {8},
	year = {2003},
	keywords = {stepping-stone model; clustering; coalescing Brownian motion},
	abstract = {Clustering behavior is studied for a  continuous-sites stepping-stone model with Brownian migration. It is shown that,  if the model starts with the same mixture of different types of individuals over  each site, then it will evolve in a way such that the site space is divided into  disjoint intervals where only one type of individuals appear in each interval.  Those intervals (clusters) are growing as time $t$ goes to infinity. The average  size of the clusters at a fixed time $t$ is of the order of square root of $t$.  Clusters at different times or sites are asymptotically independent as the  difference of either the times or the sites goes to infinity.},
	pages = {no. 11, 1-15},
	issn = {1083-6489},
	doi = {10.1214/EJP.v8-141},    
        url = {http://ejp.ejpecp.org/article/view/141}}