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有偏选举模型非紧邻的排它过程及其混合的遍历性等问题的研究
The Study of Ergodicity for Biased Voter Model, Not Nearest-neighbor Exclusion Process and Hybrid Process
【作者】 申广君;
【作者基本信息】 安徽师范大学 , 基础数学, 2004, 硕士
【摘要】 全文共分四章,在第一章中,我们介绍了马尔可夫链的遍历性、常返性、暂留性的判断标准和李雅谱诺夫函数及其性质; 第二章,我们证明了离散时间的一维有偏选举模型是正常返的,且对任意初始态S∈(?),存在ε>0使得当p<q时,当p≤q时, 第三章,我们证明了当p1+4p2>q时,有限程排它过程是遍历的;当p1+4p2≤q时,有限程排它过程是暂留的; 第四章,我们证明了,存在0<β0<1,使得对任意q,当β>β0时,混合过程是遍历的;对任意0<β<1,当p1+4p+2≥q时,混合过程是遍历的;
【Abstract】 This paper was divided into four parts.In the first chapters, we intro-duced the ergodic ,recurrent,transient of the Markov chain and Lyapunov functions.In the second chapter ,we showed that discrete-time biased voter model is positive recurrent.For any initial configuration s and some 0 such that for In the third chapter,we showed that a finite range exclusion process isergodic for ;transient for In the last chapter,we showed that there exists such that for any q hybrid process is ergodic for all for any and hybrid process is ergodic.
【Key words】 Particle systems; Biased voter model; Finite range exclusion process; Hybrid process; Ergodic; Recurrent; Transient; Lyapunov functions;
- 【网络出版投稿人】 安徽师范大学 【网络出版年期】2005年 01期
- 【分类号】O141.4
- 【下载频次】72