STOCHASTIC EQUATIONS, FLOWS AND MEASURE-VALUED PROCESSES

被引:92
|
作者
Dawson, Donald A. [1 ]
Li, Zenghu [2 ]
机构
[1] Carleton Univ, Sch Math & Stat, Ottawa, ON K1S 5B6, Canada
[2] Beijing Normal Univ, Sch Math Sci, Beijing 100875, Peoples R China
来源
ANNALS OF PROBABILITY | 2012年 / 40卷 / 02期
基金
加拿大自然科学与工程研究理事会;
关键词
Stochastic equation; strong solution; stochastic flow; coalescent; generalized Fleming-Viot process; continuous-state branching process; immigration; superprocess; COALESCENT;
D O I
10.1214/10-AOP629
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We first prove some general results on pathwise uniqueness, comparison property and existence of nonnegative strong solutions of stochastic equations driven by white noises and Poisson random measures. The results are then used to prove the strong existence of two classes of stochastic flows associated with coalescents with multiple collisions, that is, generalized Fleming-Viot flows and flows of continuous-state branching processes with immigration. One of them unifies the different treatments of three kinds of flows in Bertoin and Le Gall [Ann. Inst. H. Poincare Probab. Statist. 41 (2005) 307-333]. Two scaling limit theorems for the generalized Fleming-Viol flows are proved, which lead to sub-critical branching immigration superprocesses. From those theorems we derive easily a generalization of the limit theorem for finite point motions of the flows in Bertoin and Le Gall [Illinois J. Math. 50 (2006) 147-181].
引用
收藏
页码:813 / 857
页数:45
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