数学物理学报(英文版) ›› 1995, Vol. 15 ›› Issue (4): 394-405.

• Articles • 上一篇    下一篇

SMALL PERTURBATION CRAMER METHODS AND MODERATE DEVIATIONS FOR MARKOV PROCESSES

高付清   

  1. Department of Mathmatics, Hubei Uaiversity, Wuhan 430062, China
  • 收稿日期:1993-10-14 修回日期:1994-07-05 出版日期:1995-12-25 发布日期:1995-12-25
  • 基金资助:
    Supported by the National Natural Science Foundation of China.

SMALL PERTURBATION CRAMER METHODS AND MODERATE DEVIATIONS FOR MARKOV PROCESSES

Gao Fuqing   

  1. Department of Mathmatics, Hubei Uaiversity, Wuhan 430062, China
  • Received:1993-10-14 Revised:1994-07-05 Online:1995-12-25 Published:1995-12-25
  • Supported by:
    Supported by the National Natural Science Foundation of China.

摘要: This paper presents a small perturbation Cramer method for obtaining the large deviation principle of a family of measures {μ2,ε> 0} on a topological vector space. As an application, we obtain the moderate deviation estimations for uniformly ergodic Markov processes.

关键词: Large deviations, Cramer methods, Markov processes, moderate deviations

Abstract: This paper presents a small perturbation Cramer method for obtaining the large deviation principle of a family of measures {μ2,ε> 0} on a topological vector space. As an application, we obtain the moderate deviation estimations for uniformly ergodic Markov processes.

Key words: Large deviations, Cramer methods, Markov processes, moderate deviations