On the Extension of the Three-Term Recurrence Relation to Probabilities Distributions without Moments

In this paper, we extend the three-term recurrence relation for orthogonal polynomials associated with a probability distribution having a finite moment of all orders to a class of orthogonal functions associated with an infinitely divisible probability distribution µ?having a finite moments of order less or equal to four. An explicit expression of these functions will be given in term of the Lévy-Khintchine function of the measure?µ.

Complete Moment and Integral Convergence for Sums of Negatively Associated Random Variables

For a sequence of identically distributed negatively associated random variables {Xn; n ≥ 1} with partial sums Sn = ∑i=1^n Xi, n ≥ 1, refinements are presented of the classical Baum-Katz and Lai complete convergence theorems. More specifically, necessary and sufficient moment conditions are provided for complete moment convergence of the form ∑n≥n0 n^r-2-1/pq anE（max1≤k≤n｜Sk｜^1/q-∈bn^1/qp）^＋〈∞to hold where r 〉 1, q 〉 0 and either n0 = 1,0 〈 p 〈 2, an = 1,bn = n or n0 = 3,p = 2, an = 1 （log n） ^1/2q, bn=n log n. These results extend results of Chow and of Li and Spataru from the indepen- dent and identically distributed case to the identically distributed negatively associated setting. The complete moment convergence is also shown to be equivalent to a form of complete integral convergence.

Moment-independent importance measure of basic random variable and its probability density evolution solution

To analyze the effect of basic variable on failure probability in reliability analysis,a moment-independent importance measure of the basic random variable is proposed,and its properties are analyzed and verified.Based on this work,the importance measure of the basic variable on the failure probability is compared with that on the distribution density of the response.By use of the probability density evolution method,a solution is established to solve two importance measures,which can efficiently avoid the difficulty in solving the importance measures.Some numerical examples and engineering examples are used to demonstrate the proposed importance measure on the failure probability and that on the distribution density of the response.The results show that the proposed importance measure can effectively describe the effect of the basic variable on the failure probability from the distribution density of the basic variable.Additionally,the results show that the established solution on the probability density evolution is efficient for the importance measures.

基于S-函数改进电导法的光伏阵列最大功率点的跟踪

光伏阵列最大功率点的控制策略是光伏递变器研究的重点之一,文章在深入研究传统电导增量法工作原理的基础上,提出一种基于S-函数的恒电压启动的变步长电导增量法来实现最大功率点跟踪,并在MATLAB/Simulink环境下搭建了光伏阵列的仿真模型,通过对比仿真结果可以证明,改进的电导增量法能够准确地反映出光伏阵列输出电压和电流的非线性特性,并且能快速高效地跟踪最大功率点。

CHARACTERISTICS OF CAVITY-BACKED NARROW SLOT ANTENNA IN A LOSSY MEDIUM

The characteristics of a cavity-backed using the moment method and Dyadic Green's funused to convert the double series of the elements inintegration middle value theorem and elliptic integr}the elements. Numerical results show the effects of tthe input impedance, which could be used in designing the Cavity-Backed Slot Antenna

Riemann Hypothesis, Catholic Information and Potential of Events with New Techniques for Financial and Other Applications

In this research we are going to define two new concepts: a) “The Potential of Events” (EP) and b) “The Catholic Information” (CI). The term CI derives from the ancient Greek language and declares all the Catholic (general) Logical Propositions () which will true for every element of a set A. We will study the Riemann Hypothesis in two stages: a) By using the EP we will prove that the distribution of events e (even) and o (odd) of Square Free Numbers (SFN) on the axis Ax(N) of naturals is Heads-Tails (H-T) type. b) By using the CI we will explain the way that the distribution of prime numbers can be correlated with the non-trivial zeros of the function ζ(s) of Riemann. The Introduction and the Chapter 2 are necessary for understanding the solution. In the Chapter 3 we will present a simple method of forecasting in many very useful applications (e.g. financial, technological, medical, social, etc) developing a generalization of this new, proven here, theory which we finally apply to the solution of RH. The following Introduction as well the Results with the Discussion at the end shed light about the possibility of the proof of all the above. The article consists of 9 chapters that are numbered by 1, 2, …, 9.

行为m-NA随机变量阵列的完全收敛性

利用截尾方法和矩不等式,在更一般的条件下对m-NA阵列行和的收敛性进行了研究,并得到了m-NA阵列的完全收敛性.所得结果改进了文献[6]的研究结果。

Saddlepoint approximation based line sampling method for uncertainty propagation in fuzzy and random reliability analysis

For structural system with random basic variables as well as fuzzy basic variables,uncertain propagation from two kinds of basic variables to the response of the structure is investigated.A novel algorithm for obtaining membership function of fuzzy reliability is presented with saddlepoint approximation(SA)based line sampling method.In the presented method,the value domain of the fuzzy basic variables under the given membership level is firstly obtained according to their membership functions.In the value domain of the fuzzy basic variables corresponding to the given membership level,bounds of reliability of the structure response satisfying safety requirement are obtained by employing the SA based line sampling method in the reduced space of the random variables.In this way the uncertainty of the basic variables is propagated to the safety measurement of the structure,and the fuzzy membership function of the reliability is obtained.Compared to the direct Monte Carlo method for propagating the uncertainties of the fuzzy and random basic variables,the presented method can considerably improve computational efficiency with acceptable precision.The presented method has wider applicability compared to the transformation method,because it doesn't limit the distribution of the variable and the explicit expression of performance function, and no approximation is made for the performance function during the computing process.Additionally,the presented method can easily treat the performance function with cross items of the fuzzy variable and the random variable,which isn't suitably approximated by the existing transformation methods.Several examples are provided to illustrate the advantages of the presented method.

A fast integration method for translating-pulsating source Green＇s function in Bessho form

The singularities and oscillatory performance of translating-pulsating source Green＇s function in Bessho form were analyzed. Relative numerical integration methods such as Gaussian quadrature rule, variable substitution method （VSM）, and steepest descent integration method （SDIM） were used to evaluate this type of Green＇s function. For SDIM, the complex domain was restricted only on the 0-plane. Meanwhile, the integral along the real axis was computed by use of the VSM to avoid the complication of a numerical search of the steepest descent line. Furthermore, the steepest descent line was represented by the B-spline function. Based on this representation, a new self-compatible integration method corresponding to parametric t was established. The numerical method was validated through comparison with other existing results, and was shown to be efficient and reliable in the calculation of the velocity potentials for the 3D seakeeping and hydrodynamic performance of floating struc- tures moving in waves.

周期加载微带结构的模式分析

周期性的微带结构在相控阵天线、频率选择表面等领域都有着广泛应用。与单纯的接地介质板相比 ,它的电磁波模式更为复杂 ,解析式几乎不可得到。文中利用格林函数和矩量法相结合 ,对无限大的微带周期结构的表面波和漏波特性进行了数值分析 ,计算了方形环和方形贴片阵列两种情况。电流展开采用了分域基函数 。

一种快速计算随机变量函数均值与标准差的新方法

由于在工程实际问题中对于许多物理量的认识存在着大量的不确定性，因此，必须用概率论和数理统计的方法去处理这些问题。在应用概率论解决工程实际问题时，我们经常会碰到在已知基本随机变量X1，X2，…，Xn的均值和标准差时，需要求这些变量的某个函数Y＝C（X1，X2，…，Xn）的均值和标准差的问题。本文对现有的计算随机变量函数均值与标准差的四类方法进行了详细的介绍和讨论。在此基础上，我们吸收了Rosenbluthe法计算简单的优点，改进了原方法中存在的计算精度不稳定和有时数值计算奇异两个缺点，提出了一种改进的Rosen-bluthe法。本文从数学和大量实例上证明了改进Rosenbluthe法的计算精度至少与二阶Taylr级数相当，在许多情况下，比二阶Taylor级数的精度还要高。而从本文所给出的大量例子中可以看出，原来的Rosenbluthe法，在许多场合，误差都是很大的。因此，我们相信，本文给出的改进Rosenbluthe法会具有较高的实用价值。

模糊随机桁架结构在模糊随机激励下的动力响应

研究了模糊随机参数桁架结构在模糊随机荷载激励下的复合模糊随机振动动力响应的问题。同时考虑结构的物理参数、几何尺寸和外载荷幅值的模糊随机性,从Duham e l积分式出发,利用振型迭加法求出了结构动力响应模糊随机变量的表达式;再由随机函数的矩法推导出结构模糊随机动力响应的模糊数字特征。最后,通过算例考察了结构参数和作用荷载的模糊随机性对结构动力响应的影响,并用M on te C arlo数值法对算例进行模拟,验证了文中模型和分析方法是可行有效的。

特征函数与分布函数中若干问题之探讨

特征函数是概率论中一个重要的分析工具,本文对其进行了分析与探讨.对以往文献相关部分中存在局限性的证明给予了分析并给出了新的证明,而当特征函数的定义加以推广后,本文用一种新的方法对一些新性质进行了证明.同时,本文还证明了分布函数的一个有用的性质.

圆环形薄膜自由振动的理论解

为研究出圆环形薄膜的自由振动,采用解析方法,求得几何形状简单规则的圆环形平面薄膜、扇环形薄膜的固有频率及其振型的理论解。首先根据哈密顿原理建立薄膜横向振动的动力学方程,然后采用分离变量法,导出时间t、径向坐标r和环向坐标θ变量分离的2个二阶常微分方程和1个贝塞尔方程并分别求解。最后给出圆环形薄膜、扇环形薄膜自由振动两个算例,说明固有频率及其模态的理论解和用有限元软件ANSYS求得的数值解十分接近,理论解是有限元数值解的下限。

三峡重力坝三维随机有限元可靠度分析

三峡大坝是长江水利枢纽的重要建筑物之一,本文在考虑上、下游水位、扬压力、材料强度和弹模随机性下,用三维随机有限元对其进行可靠度分析。采用20结点等参单元和15结点三棱柱单元,对于溢流坝段,在利用对称性下,取一半进行分析;其中坝体和坝基分别划分出103和63个单元,总结点数为988个。编出了SRE3程序,在M-360计算机上算出了坝体的点可靠度;并深入研究了施工导流未封孔段周围、泄洪孔周围和坝踵的可靠度。为三峡重力坝枢纽中多层大孔口坝段的安全的评价提供了重要的成果。

独立情形下一阶矩收敛的精确渐近性的注记

假设{X,X i,i≥1}为独立同分布的随机变量序列,记S n=∑n i=1X i.N为标准正态随机变量,利用独立随机变量和的弱收敛定理和尾概率不等式,在拟权函数和边界函数满足适当的条件下,证明了limε→0ε1/s-1∑∞n=n0ψ(n)E{Sn/n-(1/2)-εσgs(n)}+=sσ1-s E N1/s成立的充要条件是EX=0和EX2=σ2.

密度演化方法在概率分布估计中的应用研究

利用密度演化方法,提出了随机变量概率分布估计的一个新方法.在此方法中,构造一个与基本随机变量相关的虚拟随机过程,使得基本随机变量成为该随机过程的截口随机变量.利用独立随机抽样的样本值,即可获取虚拟随机过程的瞬时概率密度函数,进而获得随机变量的概率密度函数估计.以约束混凝土极限应变的试验与理论预测值之比值为例,进行了概率密度函数估计.

考虑黏弹性材料随机性的被动约束层阻尼梁动力学分析

采用传递函数方法研究了阻尼层黏弹性材料随机性对被动约束层阻尼(PCLD)梁动力学特性的影响。由Hamilton原理建立了PCLD梁六阶运动微分方程,通过引入状态向量,建立了系统的状态空间方程,利用传递函数方法得到了梁的固有频率和损耗因子。以黏弹性材料分数导数模型中的参数作为基本的随机变量,并假设其服从正态分布,使用Monte Carlo直接抽样法考察了材料模型参数的随机性对结构固有频率和模态损耗因子的影响。计算结果表明黏弹性材料参数的随机性对梁动力学特性的变异系数影响较大,模态损耗因子的变异系数最大值是材料参数变异系数的4.5倍。

矩方法在多失效模式下可靠性全局灵敏度分析中的应用

针对工程实际中经常出现的多失效模式可靠性模型,建立了多失效模式下可靠性全局灵敏度分析的矩方法。在所选模型中,将四阶矩方法和Edgeworth级数展开式结合起来,有效地近似了多失效模式下响应功能函数的分布函数,为基本随机变量全局灵敏度分析中响应功能函数的条件概率密度和无条件概率密度函数的计算提供了一种简便高效的方法。算例结果显示了所选方法的合理性和可行性。

粗糙海面上三维金属目标的电磁散射特性分析

该文采用矩量法(MoM)计算粗糙海面上三维金属目标的电磁散射特性。计算了位于半空间媒质中的电偶极子和磁偶极子的矢量位并矢格林函数和标量位格林函数,并将其应用于矩量法中。把海水视为下半空间媒质,粗糙海面为位于上半空间中的介质表面。通过建立介质和金属混合目标的积分方程,并采用迭代方法求解矩阵方程以得到该模型的散射特性,数值结果验证了本文方法的有效性。