随机环境中的受控分枝过程

本文建立了随机环境中受控分枝过程模型．它是更一般意义下的随机环境中的分枝过程，在平稳遍历环境下，研究了其灭绝概率问题，通过对控制函数作适当的假设，利用平稳遗历过程的性质及概率母函数的迭代关系式，得到了判断过程灭绝的一个判定准则．     

熵极小动力系统的复杂性

设X是一个紧致度量空间,f:X→X是一个连续映射,(X,f)是熵极小的.该文首先证明了f是强遍历的;另外,如果还假设X中存在f的一个真的(拟)弱几乎周期点,则得到f具有正拓扑熵且对任意的n1,f~n是遍历敏感依赖的.因此,f在Li-Yorke和Takens-Ruelle意义下是混沌的.该文所得结论改进和推广了最近的一些结论.     

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.     

关于超加过程的遍历极限的识别

该文讨论了随机过程中一类重要过程—超加过程的遍历极限的存在和识别，另外还给出了它们的应用，较完满地解决了超加过程的遍历性．     

带移民的单生过程

本文给出了带移民单生过程唯一性、常返性、遍历、强遍历的显式判别准则和指数遍历的显式充分条件,以及0点首中时的n阶矩显式表达式.作为应用,给出了带移民生灭过程的相关性质,并且在文末讨论了几个例子的各种遍历性.     

一维Brusselator模型

用两种方法证明了一维Brusselator模型对应的Q过程非强遍历.对一个修正的一维Brusse—lator模型,证明了其对应的Q过程是强遍历的.应用其方法研究了一类扩展的分支过程,得到该过程强遍历的一个必要条件.     

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.     

关于连续状态非齐次马氏链的绝对平均强遍历性

引进连续状态非齐次马氏链绝对平均强遍历的概念,研究连续状态非齐次马氏链满足这种强遍历的一个充分条件,并给出绝对平均强遍历性在马氏决策过程中的应用.     

Hilbert空间中渐近殆非扩张曲线的强遍历收敛定理

设C为Hilbert空间H的非空子集，G为一个交换半群．文中定义了G上渐近殆非扩张曲线“（·）：G→C，证明了渐近殆非扩张曲线的强遍历收敛定理．应用于半群，得到了在失去凸性的情况下，渐近非扩张型半群的殆轨道的强遍历收敛定理．推广和改进了以前所有的结果。     

n阶本原双随机矩阵遍历指数的上确界

本文给出了ｎ阶本原双随机矩阵遍历指数的上确界：     

Unified representation of formulas for single birth processes

Based on a new explicit representation of the solution to the Poisson equation with respect to single birth processes, the unified treatment for various criteria on classical problems （including uniqueness, recurrence, ergodicity, exponential ergodicity, strong ergodicity, as well as extinction probability, etc.） for the processes are presented.     

Nonlinear branching processes with immigration

The nonlinear branching process with immigration is constructed as the pathwise unique solution of a stochastic integral equation driven by Poisson random measures. Some criteria for the regularity, recurrence, ergodicity and strong ergodicity of the process are then established.     

Nonhomogeneous markov chains with desired properties - the nearest markovian model

A new class of operators performing an optimization (optimization operators or, simply, optimators) which generate transition matrices with required properties such as ergodicity, recurrence etc., is considered and their fundamental features are described. Some criteria for comparing such operators by taking into account their strenght are given and sufficient conditions for both weak and strong ergodicity are derived. The nearest Markovian model with respect to a given set of observed probability vectors is then defined as a sequence of transition matrices satisfying certain constraints that express our prior knowledge about the system. Finally, sufficient conditions for the existence of such a model are given and the related algorithm is illustrated by an example.     

几类遍历性的显式判别准则

关于一维扩散过程或生灭过程的几类遍历性,新近很快地找到了显式判别准则,详见表5．1和5．2,其一是生灭过程的指数遍历性判准,曾是马链的一个长期未解问题,有趣的是,此论题与多个数学分支有关,我们详细介绍后一问题的想法,也建议了若干进一步研究课题。     

马尔科夫过程的强遍历性和一致衰减性

本文证明了黎曼流形上的非爆炸正Harris常返扩散过程的强遍历性等价于某(任)一紧集击中时期望的一致有界性;而马尔科夫过程一致衰减当且仅当爆炸时的期望一致有界.     

广义分枝过程的强遍历性

在文[1]的基础上，进一步讨论了广义分枝Q－矩阵的强遍历性及随机单调性。     

一般状态空间跳过程的强遍历性

研究了一般状态空间跳过程的强遍历性,利用最小非负解理论及马氏性,得到了强遍历性的几个等价条件,把连续时间可数状态马氏链的相关结果推广到一般状态空间跳过程的情形.     

广义生-灭最小Q过程的常返、遍历性

研究具有突变率的全稳定广义生-灭最小Q过程的常返性和遍历性,在Q-矩阵是正则、不可约的条件下,利用Q过程的构造理论,获得广义生-灭最小Q过程是常返、遍历的易于检验的充分必要条件,并给出不变测度.     

Strong ergodicity of the regime-switching diffusion processes

We provide criteria for the strong ergodicity of regime-switching diffusion processes. Our conditions are imposed on the coefficients of the processes. Particularly, we show that for regime-switching diffusions on the half line, if the corresponding diffusion on each fixed environment is strongly ergodic, then the regime-switching diffusion is strongly ergodic as well, which does not depend on the changing rate of the environment. Moreover, the converse is not always true, which is shown by an example. For transience, recurrence and positive recurrence, there is no such good consistency [R. Pinsky and M. Scheutzow, Some remarks and examples concerning the transience and recurrence of random diffusions, Ann. Inst. Henri. Poincaré 28 (1992) 519–536].