关于树指标非齐次马氏链的广义熵遍历定理

主要研究了树指标非齐次马氏链的广义熵遍历定理.首先证明了树指标非齐次马氏链上的二元函数延迟平均的强极限定理.然后得到了树指标非齐次马氏链上状态出现延迟频率的强大数定律,以及树指标非齐次马氏链的广义熵遍历定理.作为推论,推广了一些已有结果.同时,证明了局部有限无穷树树指标有限状态随机过程广义熵密度的一致可积性.     

连续状态马氏链遍历性的初等证明

本文介绍了连续状态马氏链Dobrushin系数、指数强遍历性、强遍历性以及弱遍历性,在此基础上给出指数强遍历、强遍历和弱遍历之间相互等价的一个初等证明.     

对连续状态马氏链Dobrushin不等式的一个证明

本文先利用Dobrushin系数的定义和Fubini定理证明一个不等式,相应地给出连续状态马氏链Dobrushin不等式的一个证明.     

一般状态空间跳过程的不可约性

本文研究了一般状态空间跳过程的ψ-不可约性.利用与马氏链类似的方法,得到了最大不可约测度及其性质,推广了离散时间一般状态空间马氏链的结果,作为应用,给出了C∈E+的充分条件.最后,证明了跳过程、骨架链、跳跃链和预解链的ψ-不可约是等价的.     

非齐次马氏链广义熵遍历定理的一个推广

本文给出汪忠志与杨卫国~([4])关于非齐次马氏链的广义熵遍历定理的一个推广定理.     

抽象空间中的 q-过程的遍历位势

<正> §1.引言Syski 在[1]中,对时齐的可数状态的遍历的马氏过程,在其二阶矩存在及其它条件下,证明了遍历位势核的存在性,并利用位势核的种种性质,改善了著名的 Riesz 分解定理.本文讨论的是时齐的一般状态的马氏过程,在强遍历的条件下,证明了遍历位势核的存在性,并得到了遍历位势核的一些性质.利用遍历位势核的存在性,改善了一般状态的马氏过程的 Riesz 分解定理.此外,还讨论了如何利用转移密度函数,寻找转移函数的遍历极限的问题.     

用耦合方法研究马氏链f-指数遍历

该文在一般状态空间下研究马氏链指数遍历性,指数遍历马氏链,增加条件π(f~p)<∞, p> 1,利用耦合方法得到了存在满的吸收集,使得马氏链在其上是f-指数遍历的.     

可列齐次马氏链熵率的指数收敛速度

运用Markov不等式和期望、强遍历、δ系数的性质,利用Chang提出的研究指数收敛速度的方法,在给出5个引理的基础上,研究了初始状态给定的一类可列齐次马氏链熵率的收敛速度,推广了Chang的结果.     

渐近循环马氏链的收敛速度

引入了渐近循环马氏链的概念,它是循环马氏链概念的推广.首先研究了在强遍历的条件下,可列循环马氏链的收敛速度,作为主要结论给出了当满足不同条件时可列渐近循环马氏链的C-强遍历性,一致C-强遍历性和一致C-强遍历的收敛速度     

关于非刘次马氏链的绝对平均强遍历性及若干应用

本文引进非齐次马氏链绝对平均强遍历我概念并得到非齐次马氏链满足这种强遍历的一个充分条件，最后给出绝对平均强遍历性在马氏决策过程和信息论听应用。     

The Geometric Markov Renewal Processes with Application to Finance

We introduce the geometric Markov renewal processes as a model for a security market and study this processes in a series scheme. We consider its approximations in the form of averaged, merged and double averaged geometric Markov renewal processes. Weak convergence analysis and rates of convergence of ergodic geometric Markov renewal processes are presented. Martingale properties, infinitesimal operators of geometric Markov renewal processes are presented and a Markov renewal equation for expectation is derived. As an application, we consider the case of two ergodic classes. Moreover, we consider a generalized binomial model for a security market induced by a position dependent random map as a special case of a geometric Markov renewal process.     

Uniform ergodicities and perturbation bounds of Markov chains on base norm spaces

It is known that Dobrushin's ergodicity coefficient is one of the effective tools in the investigations of limiting behavior of Markov processes. Several interesting properties of the ergodicity coefficient of a positive mapping defined on base norm spaces have been studied. In this paper, we consider uniformly mean ergodic and asymptotically stable Markov operators on such spaces. In terms of the ergodicity coefficient, we establish uniform mean ergodicity criterion. Moreover, we develop the perturbation theory for uniformly asymptotically stable Markov chains on base norm spaces. In particularly, main results open new perspectives in the perturbation theory for quantum Markov processes defined on von Neumann algebras.     

Shift ergodicity for stationary Markov processes

In this paper shift ergodicity and related topics are studied for certain stationary processes. We first present a simple proof of the conclusion that every stationary Markov process is a generalized convex combination of stationary ergodic Markov processes. A direct consequence is that a stationary distribution of a Markov process is extremal if and only if the corresponding stationary Markov process is time ergodic and every stationary distribution is a generalized convex combination of such extremal ones. We then consider space ergodicity for spin flip particle systems. We prove space shift ergodicity and mixing for certain extremal invariant measures for a class of spin systems, in which most of the typical models, such as the Voter Models and the Contact Models, are included. As a consequence of these results we see that for such systems, under each of those extremal invariant measures, the space and time means of an observable coincide, an important phenomenon in statistical physics. Our results provide partial answers to certain interesting problems in spin systems.     

二重非齐次马氏链的遍历性及其应用

给出二重非齐次马氏链的强遍历性,绝对平均强遍历性,Cesaro平均收敛的概念．利用二维马氏链的遍历性和C-K方程,建立了二维马氏链与二重非齐次马氏链遍历性的关系．并讨论了齐次二重马氏链绝对平均强遍历与强遍历的等价性．最后给出Cesaro平均收敛在马氏决策过程和信息论中应用．     

广生马灭马氏链（Ⅱ）

本文在文献[1]的基础上继续讨论了广生灭马氏链,求出了向下的首达时间分布及各级矩,给出了广生灭马氏链遍历的充分必要条件以及平均反回时间的计算公式,并且在遍历的条件下,求出了其平稳分布。     

The Generalized Entropy Ergodic Theorem for Nonhomogeneous Bifurcating Markov Chains Indexed by a Binary Tree

Journal of Theoretical Probability - In this paper, we study the generalized entropy ergodic theorem for nonhomogeneous bifurcating Markov chains indexed by a binary tree. Firstly, by constructing...     

一类非齐次马氏链的绝对平均强遍历性

引用马氏链绝对平均强遍历的概念,首先给出齐次马氏链绝对平均强遍历与强遍历的等价性,其次通过引进另一个强遍历的非齐次马氏链,给出一个非齐次马氏链绝对平均强遍历的充分条件.     

Geometric ergodicity for classes of homogeneous Markov chains

The paper deals with non asymptotic computable bounds for the geometric convergence rate of homogeneous ergodic Markov processes. Some sufficient conditions are stated for simultaneous geometric ergodicity of Markov chain classes. This property is applied to nonparametric estimation in ergodic diffusion processes.     

信息熵的收敛性与收敛速度

本讨论了连续时间，状态空间有限的马氏过程的信息熵的收敛性质，给出了可测转移矩阵的极限形式，得出具有可测转移矩阵的马氏过程的信息熵在时间趋于无穷大时存在且有限，对于具有强遍历转移函数的马氏过程的信息熵按多项式一致收敛。