广义次线性分支过程的唯一性

本文讨论的是一种带移民(与状态有关)和复活的次线性分支过程的正则性,唯一性.给出了正则性,唯一性的标准.     

分支碰撞过程的唯一性和吸收性质

本文研究了一种分支碰撞过程,它的唯一性和吸收概率在大多数情况下都是成立的。     

带移民的碰撞分枝过程的唯一性

本文提出了一种带移民的碰撞分枝过程,它由三部分组成:马氏分枝过程、碰撞分枝过程和状态独立的移民过程,给出了该过程正则性和唯一性判别准则。     

带灾难的非线性马尔可夫分枝过程

本文在文献[6]的基础上，集中考虑一类带灾难的非线性马尔可夫分枝过程的基本问题-唯一性，正则性和灭绝性。文章首先给出其Q-过程唯一性的证明，然后得出该畔程的正则性与[3]非线性马尔币夫分枝过程一样，最后，我们给出该Q-过程以概1l灭绝的充要条件是Q-过程正则。     

关于单生过程唯一性的注

本文给出判别单生过程唯一性的准则，此准则比文[1-2]的更易于判断。     

一类上临界带移民分支过程的下偏差概率估计

对于后代分布为{p_i, i≥0}的上临界带移民分支过程{Z_n},如果分支和移民分布满足适当的矩条件,则Z_n/mⁿ几乎处处收敛到某个非退化的极限,其中■为过程后代分布的均值.本文给出了p₀> 0时该过程下偏差概率P(Z_n=k)的渐近行为,其中k∈[k_n, mⁿ], k_n→∞(n→∞),这一结果可作为文献[8]中Schr?der情形结论的补充.     

奇闭轨分支出极限环的唯一性(Ⅰ)

本文得到了含一个细鞍点的奇闭轨产生极限环的唯一性定理,给出了作为闭轨族边界的奇闭轨产生唯一极限环的简洁判据.     

一类异宿环分支问题中极限环的唯一性

在具余维２奇点的四维系统的两参数开折的研究中出现一类三点异宿环的扰动分支,对此异宿环产生极限环的唯一性一直未得到完整的解决,本文圆满地解决了这一问题,并获得了全局分支中极限环的唯一性。     

带移民的上临界分支过程在一般条件下的小值概率

本文的主要目的是在后代分布均值有限但L log L阶距无限的条件下研究带移民的上临界分支过程(Z_n)的小值概率.当后代分布均值有限且移民分布的log L阶距有限时,存在常数序列{C_n,n≥0}使得C_n~(-1)Z_n收敛到一个非负有限且非退化的随机变量,记作W.本文基于前期关于分支过程小值概率的工作,在最一般的条件下得到了W的小值概率,即P(W≤ε)在ε→0~+时的收敛速率.     

人口过程—唯一性与常返性

本文给出人口过程唯一性及常返性的充分必要条件。     

Uniqueness and Extinction of Weighted Markov Branching Processes

This paper focuses on discussing some basic properties of the weighted Markov branching process which is a natural generalisation of the ordinary Markov branching process. The regularity and uniqueness criteria, which are very easy to verify, are firstly established. Some important characteristics regarding the hitting times of such structure are obtained. In particular, the closed forms for the mean extinction time and conditional mean extinction time are presented. The explosion behaviour of the process is investigated and then the mean explosion time is derived. The mean global holding time and the mean total survival time are also obtained. AMS 2000 Subject Classification Primary 60 J27; Secondary 60 J80     

随机环境中伴有移民两性分枝过程的极限性质

本文在独立同分布的随机环境下,建立带有移民的两性分枝过程{Zn}n≥0,且移民人口数依赖当前人口数,证得{Zn}n≥0和{(Fn,Mn)}n≥1是随机环境中的马氏链,并得到第n代每个配对单元平均增长率{rk}k≥0的极限性质,从而推广了经典两性分枝过程的相关理论.     

随机环境中两性分枝过程的马氏性和对偶性

证明了独立同分布环境中的两性分枝过程是时奇的马氏链,给出了过程灭绝一爆炸这一对偶性的一个新的证明。在随机环境情形下,证明了一类单调函数的存在性。     

Uniqueness and extinction properties of generalised Markov branching processes

This paper focuses on the basic problems regarding uniqueness and extinction properties for generalised Markov branching processes. The uniqueness criterion is firstly established and a differential-integral equation satisfied by the transition functions of such processes is derived. The extinction probability is then obtained. A closed form is presented for both the mean extinction time and the conditional mean extinction time. It turns out that these important quantities are closely related to the elementary gamma function.     

Branching Processes with Immigration and Related Topics

This is a survey on the recent progresses in the study of branching processes with immigration, generalized Ornstein-Uhlenbeck processes, and affine Markov processes. We mainly focus on the applications of skew convolution semigroups and the connections in those processes.     

A Critical Branching Process with Stationary-Limiting Distribution

Abstract

Seneta (Seneta, E. The stationary distribution of a branching process allowing immigration: A remark on the critical case. J. Royal Statistical Society, Series B 1968, 30, 176–179) shows that a critical branching process with pure immigration has a stationary-limiting distribution provided that its offspring variance is infinite. We obtain a stationary-limiting distribution keeping the variance finite but allowing an emigration–immigration component in each generation.     

Asymptotic Behaviors for Critical Branching Processes with Immigration

In this paper, we investigate the asymptotic behaviors of the critical branching process with immigration {Z_n, n ≥ 0}. First we get some estimation for the probability generating function of Zn. Based on it, we get a large deviation for Z_(n+1)/Z_n. Lower and upper deviations for Zn are also studied. As a by-product, an upper deviation for max_(1≤i≤n) Z_i is obtained.