ASYMPTOTIC PROPERTIES OF A MEAN-FIELD MODEL WITH A CONTINUOUS-STATE-DEPENDENT SWITCHING PROCESS

被引:15
作者
Xi, Fubao [1 ]
Yin, G. [2 ]
机构
[1] Beijing Inst Technol, Dept Math, Beijing 100081, Peoples R China
[2] Wayne State Univ, Dept Math, Detroit, MI 48202 USA
关键词
Mean-field model; continuous-state-dependent switching; Markovian switching; Feller continuity; strong Feller continuity; exponential ergodicity; strong ergodicity; STOCHASTIC DIFFERENTIAL-EQUATIONS; CONTINUOUS-TIME PROCESSES; CENTRAL-LIMIT-THEOREM; DIFFUSION-PROCESSES; MARKOVIAN PROCESSES; EVOLUTION EQUATION; STRONG ERGODICITY; COUPLING METHODS; STABILITY; CRITERIA;
D O I
10.1239/jap/1238592126
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
This work is concerned with a class of mean-field models given by a switching diffusion with a continuous-state-dependent switching process. Focusing on asymptotic properties, the regularity or nonexplosiveness, Feller continuity, and strong Feller continuity are established by means of introducing certain auxiliary processes and by making use of the truncations. Based on these results, exponential ergodicity is obtained under the Foster-Lyapunov drift conditions. By virtue of the coupling methods, the strong ergodicity or uniform ergodicity in the sense of convergence in the variation norm is established for the mean-field model with a Markovian switching process. Besides this, several examples are presented for demonstration and illustration.
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页码:221 / 243
页数:23
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