带拯救的两参数Markov碰撞过程的遍历性

本文考虑了一类带拯救的两参数Markov碰撞过程.首先讨论了带拯救的两参数Markov碰撞q-矩阵发生函数的性质,通过发生函数给出了过程的正则性和唯一性判别准则,得到了过程的常返性和遍历性的充分必要条件,并给出了几个易于验证的充分条件.最后,给出了遍历情形下该过程平稳分布的发生函数,并给出了过程强遍历的判别准则.     

带拯救的广义非线性Markov分枝模型的稳定性

该文考虑了一类带拯救的广义非线性Markov分枝模型.首先讨论了带拯救的广义非线性Markov分枝q-矩阵发生函数的性质,通过发生函数给出了过程的正则性和唯一性判别准则,得到了没有拯救情形下过程的灭绝概率和平均灭绝时间,并讨论了带有拯救情形下模型的稳定性和遍历性,得到了过程的常返性和遍历性的充分必要条件.最后,给出了遍历情形下该过程的平稳分布.     

带移民和拯救的二次加权分枝过程的有关性质

本文考虑一类带移民和拯救的二次加权分枝过程(QWMBPIR)的正则性、存在唯一性以及常返性和遍历性.我们首先对QWMBIR的q-矩阵发生函数的性质进行讨论,建立QWMBPIR正则性及唯一性的判别准则.进一步,对QWMBPIR的常返性及遍历性进行分析,得到过程遍历性的充分条件.     

关于转移函数的收敛性

本文研究了参数连续Markov链中转移函数的逼近.运用算子半群方法,讨论了q-矩阵的截断矩阵对应Q-函数的收敛问题;引进q-矩阵的Yosida逼近矩阵,证明了任意Q-过程可以由一列有界Q-过程逼近.并给出了最小Q-函数收敛的q-矩阵条件.推广了相关工作.     

标准转移函数的多项式一致收敛性

M.F.Chen［3,P.335］提出如下问题：设P=（Pij（t）;i,j∈E,t≥0）是一个遍历转移函数,π=（πi;i∈E）是其平稳分布,何时存在常数v＞0和c＞0,使得成立？本文称满足（0.1）的P为多项式一致收敛的．对一类标准转移函数得到了它是多项式一致收敛的充要条件作为其应用,可以得到,对生灭q-矩阵,其最小Q-过程是多项式一致收敛的当且仅当R＝∞且S＜∞同时,还得到,当R＜∞,S＜∞时,其唯一的可配称诚实Q-过程是多项式一致收敛的。     

带移民和拯救的碰撞分枝过程的性质

本文考虑一类带移民和拯救的碰撞分枝过程(BCPIR)的存在唯—性、常返性以及临界爆炸情形下的衰减性质.首先深入讨论了BCIR q-矩阵发生函数的性质,建立了过程的唯一性判别准则,得到了一些比较好的过程常返性充分条件;并且通过发生函数给出了临界爆炸情形下关于连通类Z+的衰减指数λz的精确值.同时,进一步讨论λz-不变测度/不变向量,给出了λz-不变测度的发生函数.     

标准转移函数的多项式一致收敛性

设P=(p ij(t);i,j∈E,t 0)是一个遍历转移函数,π=(π i,,i∈E)是其平稳分布, 何时存在常数v>0和C>0,使得成立? 本文称满足(0.1)的P为多项式一致收敛的.对一类标准转移函数得到了它是多项式一致收敛的充要条件.作为其应用,可以得到, 对生灭q-矩阵, 其最小Q-过程是多项式一致收敛的当且仅当R=∞且S<∞. 同时, 还得到,当R<∞,S<∞时, 其唯一的可配称诚实Q-过程是多项式一致收敛的.     

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.     

含瞬时态、具有突变率的广义生-灭Q-矩阵(I)

研究含瞬时态、具有突变率的广义生-灭拟q-矩阵,给出易于验证的Q过程存在性准则,并构造出全部Q过程和全部诚实Q过程,证明了不需附加任何条件,所有诚实Q过程都是常返的,给出诚实Q过程是遍历的充要条件,并求出其遍历测度,以及证明了不存在可配称Q过程.最后给出两个例子以说明我们的结果易于验证.     

含瞬时态、具有突变率的广义生-灭Q-矩阵(Ⅰ)

研究含瞬时态、具有突变率的广义生-灭拟q-矩阵,给出易于验证的Q过程存在性准则,并构造出全部Q过程和全部诚实Q过程,证明了不需附加任何条件,所有诚实Q过程都是常返的,给出诚实Q过程是遍历的充要条件,并求出其遍历测度,以及证明了不存在可配称Q过程.最后给出两个例子以说明我们的结果易于验证.     

Weighted sharing and uniqueness of entire functions

In this paper we study the uniqueness for meromorphic functions sharing one value, and obtain some results which improve and generalize the related results due to M. L. Fang, X. Y. Zhang, W. C. Lin, T. D. Zhang, W. R. Lü and others.     

On the link between infinite horizon control and quasi-stationary distributions

We study infinite horizon control of continuous-time non-linear branching processes with almost sure extinction for general (positive or negative) discount. Our main goal is to study the link between infinite horizon control of these processes and an optimization problem involving their quasi-stationary distributions and the corresponding extinction rates. More precisely, we obtain an equivalent of the value function when the discount parameter is close to the threshold where the value function becomes infinite, and we characterize the optimal Markov control in this limit. To achieve this, we present a new proof of the dynamic programming principle based upon a pseudo-Markov property for controlled jump processes. We also prove the convergence to a unique quasi-stationary distribution of non-linear branching processes controlled by a Markov control conditioned on non-extinction.     

Erlang(2)过程的风险分析与美式看跌期权

在经典的风险理论中涉及到的索赔风险是服从复合Poission过程的, 与之不同, 我们考虑Erlang(2)风险过程\bd Erlang(2)分布往往见诸于控制理论中, 这里它作为索赔发生间隔时间的分布被引入了\bd 本文中, 我们介绍一个与破产时刻、破产前时刻的盈余以及破产时刻赤字有关的辅助函数$\phi(\cdot)$, 函数中涉及的这三个变量对风险模型的研究都是最基本也是最重要的\bdWillmot and Lin (1999)曾在古典连续时间风险模型之中研讨过这一函数\bd受Gerber and Shi(1997)及Willmot and Lin (2000)在古典模型下的研究过程的启发, 本文的一个重要结果就是找到破产前时刻的盈余以及破产时刻赤字的联合分布密度函数\bd 更得益于Gerber and Landry (1998)及Gerber and Shiu (1999)的思想, 我们应用以上的结果去寻求基础资产服从一定风险资产价格过程的美式看跌期权最优交易策略.     

Applications of Feller–Reuter–Riley Transition Functions

A Feller–Reuter–Riley function is a Markov transition function whose corresponding semigroup maps the set of the real-valued continuous functions vanishing at infinity into itself. The aim of this paper is to investigate applications of such functions in the dual problem, Markov branching processes, and the Williams-matrix. The remarkable property of a Feller–Reuter–Riley function is that it is a Feller minimal transition function with a stable q-matrix. By using this property we are able to prove that, in the theory of branching processes, the branching property is equivalent to the requirement that the corresponding transition function satisfies the Kolmogorov forward equations associated with a stable q-matrix. It follows that the probabilistic definition and the analytic definition for Markov branching processes are actually equivalent. Also, by using this property, together with the Resolvent Decomposition Theorem, a simple analytical proof of the Williams' existence theorem with respect to the Williams-matrix is obtained. The close link between the dual problem and the Feller–Reuter–Riley transition functions is revealed. It enables us to prove that a dual transition function must satisfy the Kolmogorov forward equations. A necessary and sufficient condition for a dual transition function satisfying the Kolmogorov backward equations is also provided.     

Estimates on the Transition Densities of Girsanov Transforms of Symmetric Stable Processes

In this paper, we first study a purely discontinuous Girsanov transform which is more general than that studied in Chen and Song [(2003), J. Funct. Anal. 201, 262–281]. Then we show that the transition density of any purely discontinuous Girsanov transform of a symmetric stable process is comparable to the transition density of the symmetric stable process. The same is true for the Girsanov transform introduced in Chen and Zhang [(2002), Ann. Inst. Henri poincaré 38, 475–505]. As an application of these results, we show that the Green function of Feynman–Kac type transforms of symmetric stable processes by continuous additive functionals of zero energy, when exists, is comparable to that of the symmetric stable process.      

An Ekeland’s variational principle for set-valued mappings with applications

In this paper, we obtain a general Ekeland’s variational principle for set-valued mappings in complete metric space, which is different from those in [G.Y. Chen, X.X. Huang, Ekeland’s ε-variational principle for set-valued mapping, Mathematical Methods of Operations Research 48 (1998) 181–186; G.Y. Chen, X.X. Huang, S.H. Hou, General Ekeland’s Variational Principle for Set-Valued Mappings, Journal of Optimization Theory and Applications 106 (2000) 151–164; S.J. Li, W.Y. Zhang, On Ekeland’s variational Principle for set-valued mappings, Acta Mathematicae Application Sinica, English Series 23 (2007) 141–148]. By the result, we prove some existence results for a general vector equilibrium problem under nonconvex and compact or noncompact assumptions of its domain, respectively. Moreover, we give some equivalent results to the variational principle.     

Convergence of projected Landweber iteration for matrix rank minimization

In this paper, we study the performance of the projected Landweber iteration (PLW) for the general low rank matrix recovery. The PLW was first proposed by Zhang and Chen (2010) [43] based on the sparse recovery algorithm APG (Daubechies et al., 2008) [14] in the matrix completion setting, and numerical experiments have been given to show its efficiency (Zhang and Chen, 2010) [43]. In this paper, we focus on providing a convergence rate analysis of the PLW in the general setting of low rank matrix recovery with the affine transform having the matrix restricted isometry property. We show robustness of the algorithm to noise with a strong geometric convergence rate even for noisy measurements provided that the affine transform satisfies a matrix restricted isometry property condition.     

三次分拆数模5的幂

三次分拆由Hei-Chi Chan引入,并由Byungchan Kim命名,因为它和Ramanujan的三次连分数联系在一起.Hei-Chi Chan证明了三次分拆函数具有模3的幂的Ramanujan型同余.在最近的一篇文章中,William Y.C.Chen和Bernard L.S.Lin研究了三次分拆函数模5的同余...     

Interacting Fisher–Wright diffusions in a catalytic medium

We study the longtime behaviour of interacting systems in a randomly fluctuating (space–time) medium and focus on models from population genetics. There are two prototypes of spatial models in population genetics: spatial branching processes and interacting Fisher–Wright diffusions. Quite a bit is known on spatial branching processes where the local branching rate is proportional to a random environment (catalytic medium). Here we introduce a model of interacting Fisher–Wright diffusions where the local resampling rate (or genetic drift) is proportional to a catalytic medium. For a particular choice of the medium, we investigate the longtime behaviour in the case of nearest neighbour migration on the d-dimensional lattice. While in classical homogeneous systems the longtime behaviour exhibits a dichotomy along the transience/recurrence properties of the migration, now a more complicated behaviour arises. It turns out that resampling models in catalytic media show phenomena that are new even compared with branching in catalytic medium. Received: 15 November 1999 / Revised version: 16 June 2000 / Published online: 6 April 2001     

R4(C)中平均曲率方向平行的Bonnet曲面

本文利用[5]的方法,对R4(C)中平均曲率方向平行的Bonnet曲面引入了半测地等温 参数,并给出了一个分类结果.