一类半鞅的自然σ-域流

设X=(X_t)_t≥0为关于其自然σ-域流(J_t)_t≥0为半鞅。假设X具有弱可料表示性,即任一连续局部鞅可表为关于X的连续鞅部分的可料积分,任一纯断局部鞅可表为关于X的跳测度μ与其可料对偶投影v之差的可料积分。对于这类半鞅,利用它的局部可料特征,给出了其自然σ-域流为拟左连续、全连续与具有可料表示性的充要条件。     

特殊半鞅的可料表示性

设X为一(■_t)特殊半鞅,X=A+M为其典则分解.称X有可料表示性,如果一切零初值(■_t)局部鞅可表为一可料过程对M的随机积分.本文刻划了一类特殊半鞅的可料表示性(定理1.3及2.2);推广了Yoeurp-Yor定理(定理4.4).作为这些结果的应用,文中给出了Fujisaki-Kallianpur-Kunita定理的一个新证明(定理5.3).     

类（L）点过程所产生的正交随机测度

引言 [1]中的正交随机测度论概括了多种不能按轨道进行的随机积分,当然最典型的代表是可料过程对平方可积鞅的随机积分。但是在试图把被积函数从可料扩充到可选时,就只有限制在拟左连续(局部)平方可积鞅的情形才得到满意的结果。鞅具有可料跳对积分的正交性似乎是一种障碍。在半鞅的积分表示中有一项表示跃度有界的纯断鞅部分,它表成了对跃度点过程补偿的积分,既然积出来是局部平方可积鞅,自然可以设想,它     

关于半鞅市场的完备性

资产定价基本定理是金融数学中的基本结果.利用半鞅可料表示性与半鞅向量随机积分的Girsanov定理获得了半鞅市场完备的特征(定理2.1),它扩展了[3]中的结论.     

Chaos分解与可料表示性

本文对条件方差为常数的鞅差序列与独立增量过程证明了过程的平方可积泛函有Chaos分解的充要条件是过程有可料表示性。Chaos的定义是采用Meyer的,离散参数情形是多项式泛函,连续参数情形是多重正交随机积分。证明主要依赖于作者先前得到的这两类过程有可料表示性的充要条件。     

关于n维参数强鞅的随机积分

在本文中定义了PK_(r)可料过程(见定义2.3)Φ(ξ~1,…,ξ~r),(ξ~q∈R_+~n,1≤g≤r≤n)关于n维参数强鞅组M=(M_1,…,M_r,)的r重随机积分。利用这些随机积分能表示满足适当条件的强鞅泛函,特别,n维参数Wienor过程的平方可积泛函和鞅能用这些积分来表示。     

关于模糊集值平方可积鞅的随机积分

给出了模糊集值平方可积鞅的定义以及简单实值可料过程关于模糊集值平方可积鞅的随机积分的定义;证明了该积分仍具有模糊集值平方可积鞅的性质。     

LΦ可料控制鞅Hardy-Orlicz空间之间的鞅变换

以鞅变换为工具,刻画了LΦ可料控制鞅的Hardy-Orlicz空间之间的相互关系,设Φ1和Φ2是两个Young函数,并在某种意义上Φ2强于Φ1(具体定义见正文),以构造性的方法证明了Hardy-Orlicz空间(D)Φ1中的鞅恰好是Hardy-Orlicz空间(D)Φ2中的鞅的鞅变换.所得的结果推广了已有文献中的相关结论.     

一类特殊半鞅模型中无套利测度的刻划

本文研究金融市场中一类特殊半鞅模型,其价格过程具有X=LD的形式,这里L是局部有界鞅,D是可料有限变差过程.对这类模型我们导出其等价鞅测度存在的充分必要条件.另外,我们将[2]中的条件/△M/≤C推广到M为局部有界鞅,得到相应的结果.     

关于半鞅随机微分方程解的存在性和唯一性

(一)预备、半鞅分解 这节简述本文所需有关半鞅分解的结果。 设(Ω,(?),P)是完备概率空间,(?)的子σ-域族((?)_t)_(t>0)满足通常条件(单调上升,右连续,(?)_0包含(?)的全体零测集)。π,(?)分别表示循序可测σ-域,可选σ-域,可料σ-域。 (1)设M是一维半鞅,按其跳可定义取非负整数值的随机测度(?)(ω,·),     

Borel measures in consonant spaces

A topology on a set X is called consonant if the Scott topology of the lattice is compactly generated; equivalently, if the upper Kuratowski topology and the co-compact topology on closed sets of X coincide. It is proved that every completely regular consonant space is a Prohorov space, and that every first countable regular consonant space is hereditarily Baire. If X is metrizable separable and co-analytic, then X is consonant if and only if X is Polish. Finally, we prove that every pseudocompact topological group which is consonant is compact. Several problems of Dolecki, Greco and Lechicki, of Nogura and Shakmatov, are solved.     

不确定条件下双目标组批生产的交货期设置研究

交货期是调度方法的函数,因而具有不确定性.研究变批量、变批次、变生产能力下,单阶段、双目标有条件相容组批的交货期设置问题,将它转化为订单投放策略和调度模式研究.建立了一个基于目标的双目标订单投放策略数学模型.采用目标序列优先方法进行双目标求解,用两种调度模式求出区间值,进行最优交货期逼近.模式1:松弛掉产品加工约束条件,基于负荷考虑、给出离散生产模式下订单完工率最大的订单排序算法,算法综合考虑了任务紧急程度、可调度性、重要度和流程时间最短四个方面,得到区间的一个端点.模式2是有条件相容的启发式组批调度算法,即通过聚类计算将订单安排问题转化为多队列调度问题,将新来订单的投放转化为某个队列的插单和批量分割问题,不同队列中批的投产顺序由批中优先级最高的订单决定,并在能力约束下进行批量分割计算,得到区间的另一个端点,结合流程可靠性求出区间.实例证明,模式2的交货期设置小,订单完工率和生产率高.     

Banach空间有界线性算子强连续双半群

本文在Ｂａｎａｃｈ空间上研究单参数有界线性算子族－强连续双半群。     

Chaotic synchronization with filter based on wavelet transformation

A kind of chaotic synchronization method is presented in the paper. In the transmitter, part signals are transformed by wavelet and the detail information is removed. In the receiver, the component with low frequency is reconstructed and discrete feedback is used, we show that synchronization of two identical structure chaotic systems is attained. The effect of feedback on chaotic synchronization is discussed. Using the synchronous method, the transmitting signal is transported in compressible way, system resource is saved, the component with high frequency is filtered and the effect of disturbance on synchronization is reduced. The synchronization method is illustrated by numerical simulation experiment.     

网络团购的定价与收益协调策略研究

如何实现团购网站和团购参与商家之间的双赢是我国网络团购目前面临的一大挑战性问题。结合我国网络团购的特点,构建团购网站和商家之间定价与收益分配的博弈模型,针对博弈结果运用纳什谈判模型给出协调策略。最后,通过数值算例分析主要参数的变化对价格与收益的影响。结果表明,敏感市场的规模和团购网站的广告效应越大、商品的单位成本越小、开展网络团购对商家和团购网站越有利。     

Milnor方图中的w-凝聚性

整环R称为ω-凝聚整环,是指R的每个有限型理想是有限表现型的.本文证明了ω-凝聚整环是v-凝聚整环,且若(RDTF,M)是Milnor方图,则在Ⅰ型情形,R是ω-凝聚整环当且仅当D和T都是ω-整环,且T_M是赋值环;对于Ⅱ-型情形,R是ω-凝聚整环当且仅当D是域,[F:D]<∞,M是R的有限型理想,T是ω-凝聚整环,且R_M是凝聚整环.     

弱空间式Locale

空间式locale范畴SLoc是locale范畴Loc的余反射满子范畴,但对locale乘积不封闭．本文引入弱空间式locale,证明弱空间式locale范畴WSloc为范畴Loc的余反射满子范畴,且对locale秉积封闭．还证明了一个locale A是空间式的当且仅当它的枝映射localeN(A)是弱空间式的;一个空问式locale的每一个子locale都是空间式的当且仅当它的每一个子locale是弱空间式的．最后,证明了弱空间式性在定向函子下保持不变．     

Inverse Eigenvalue Problem in Structural Dynamics Design

1 Introduction Structural dynamics design is to design a structure subject to the dynamic characteristics re- quirement, i.e., determine physical and geometrical parameters such that the structure has the given frequencies and (or) mode shapes. This problem often arises in engineering connected with vibration. Recently, Joseph [1], Li et al. [2,3] converted the structural dynamics design to the following inverse eigenvalue problem. GIEP Let x = (x1, , xm)T , and let A(x) and B(x) be real n…     

A modified (S − 1, S) inventory system for deteriorating items with Poisson demand and non-zero lead time

An inventory system is considered for continuous decaying items with non-zero lead time and stochastic demand when shortages are allowed and all unsatisfied demands are backlogged. In this research we consider orders as separate packages where replenishment is one-for-one and a modified base stock policy is applied. In this paper, a penalty cost is introduced for stochastic inventory models with decaying items when less than one unit of the product is delivered to the customers. The objective of the warehouse is to maximize his average profit. Since the concavity analysis of the model is extremely complicated, an upper bound is introduced and an algorithm is presented for finding the optimal solution. Finally, a numerical example is presented and sensitivity analysis is carried out for a number of important parameters.     

Detection of multivariate outliers with location slippage or scale inflation in left orthogonally invariant or elliptically contoured distributions

This paper is concerned with two kinds of multiple outlier problems in multivariate regression. One is a multiple location-slippage problem and the other is a multiple scale-inflation problem. A multi-decision rule is proposed. Its optimality is shown for the first problem in a class of left orthogonally invariant distributions and is also shown for the second problem in a class of elliptically contoured distributions. Thus the decision rule is robust against departures from normality. Further the null robustness of the decision statistic which the rule is based on is pointed out in each problem.