首页 | 本学科首页   官方微博 | 高级检索  
     检索      

由随机发展方程调制的马氏过程的容度大偏差原理
引用本文:马小翠.由随机发展方程调制的马氏过程的容度大偏差原理[J].济宁师范专科学校学报,2011(6):69-71.
作者姓名:马小翠
作者单位:济宁学院数学系,山东曲阜273155
基金项目:山东省教育厅科技计划项目(J07WH03)
摘    要:给出了{(X^s(t),Z^ε(t));ε〉0,t∈0,T]}的容度大偏差定理.其中X^ε(t)满足下面的随机微分方程:dX^ε(t)=(√εσ(t))dw(t)+b(X^ε(t),Z^ε(t))dt,Z^ε(t)为有限个状态的随机过程.

关 键 词:马氏过程  容度  大偏差  速率函数

A Large Deviation Principle of Capacity for the Markov Process Modulated by the Stochastic Evolution Equation
MA Xiaocui.A Large Deviation Principle of Capacity for the Markov Process Modulated by the Stochastic Evolution Equation[J].Journal of Jining Teachers College,2011(6):69-71.
Authors:MA Xiaocui
Institution:MA Xiaocui ( Department of Mathematics, Jining University, Qufu 273155 , China)
Abstract:In this paper, We discuss a large deviation principle of capacity for {(X^s(t),Z^ε(t));ε〉0,t∈0,T]}determined by dX^ε(t)=(√εσ(t))dw(t)+b(X^ε(t),Z^ε(t))dt,Z^ε(t)is an n- state process.
Keywords:Markov processes  capacity  large deviations  rate function
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号