Donald A. Dawson (School of Mathematics and Statistics, Carleton University) Zenghu Li (Department of Mathematics, Beijing Normal University) Hao Wang (Department of Mathematics, University of Oregon)
Abstract
We constructs a class of seperprocesses by taking the high density limit of a sequence of interacting-branching particle systems. The spatial motion of the superprocess is determined by a system of interacting diffusions, the branching density is given by an arbitary bounded non-negative Borel function, and the superprocess is characterized by a martingale problem as a diffusion process with state space "M (R)", improving and extending considerably the construction of Wang (1997, 1998). It is then proved in a spatial case that a suitable rescaled process of the superprocess converges to the usual super Brownian motion. An extention to measure-valued branching catalysts is also discussed.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
file. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by Département des sciences administratives, UQO in its series RePAd Working Paper Series with number
lrsp-TRS346.
Length: 33 pages Date of creation: 01 Jan 2001 Date of revision: Handle: RePEc:pqs:wpaper:0032005
Contact details of provider: Postal: Pavillon Lucien Brault, 101 rue Saint Jean-Bosco, Gatineau (Qu�bec) J8Y 3G5 Phone: (819) 595-3900 Fax: (819) 773-1747 Web page: http://www.repad.org/ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Christian Calmes).
Find related papers by JEL classification: C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General