Skew convolution semigroups and affine Markov processes

被引:95
作者
Dawson, D. A.
Li, Zenghu
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
关键词
skew convolution semigroup; affine process; continuous state branching process; catalytic branching process; immigration; Omstein-Uhlenbeck process; stochastic integral equation; Poisson random measure;
D O I
10.1214/009117905000000747
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
A general affine Markov semigroup is formulated as the convolution of a homogeneous one with a skew convolution semigroup. We provide some sufficient conditions for the regularities of the homogeneous affine semigroup and the skew convolution semigroup. The corresponding affine Markov process is constructed as the strong solution of a system of stochastic equations with non-Lipschitz coefficients and Poisson-type integrals over some random sets. Based on this characterization, it is proved that the affine process arises naturally in a limit theorem for the difference of a pair of reactant processes in a catalytic branching system with immigration.
引用
收藏
页码:1103 / 1142
页数:40
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