Function S-rough Sets and Their Law Characteristic

Function S-rough sets(Function Singular rough sets) are defined by R-function equivalence class which has dynamic characteristic, and a function is s law, function S-rough sets have law characteristic. Function S-rough sets has these forms: function one direction S-rough sets, function two direction S-rough sets and dual of function one direction S-rough sets. This paper presents the law characteristic of function one direction S-rough sets and puts forward the theorems of law-chain-attribute and law-belt. Function S-rough sets is s new research direction of the rough sets theory.     

Motivic Milnor Fibre of Cyclic L_∞-algebras

We define the motivic Milnor fiber of cyclic L_∞-algebras of dimension three using the method of Denef and Loeser of motivic integration. It is proved by Nicaise and Sebag that the topological Euler characteristic of the motivic Milnor fiber is equal to the Euler characteristic of the étale cohomology of the analytic Milnor fiber. We prove that the value of Behrend function on the germ moduli space determined by a cyclic L_∞-algebra L is equal to the Euler characteristic of the analytic Milnor fiber. Thus we prove that the Behrend function depends only on the formal neighborhood of the moduli space.     

Consistency of change point estimators for symmetrical stable distribution with parameters shift

Assume that the characteristic indexαof stable distribution satisfies 1<α<2,and that the distribution is symmetrical about its mean.We consider the change point estimators for stable distribution withαor scale parameterβshift.For the one case that mean is a known constant,ifαorβchanges,then density function will change too.To this end,we suppose the kernel estimation for a change point.For the other case that mean is an unknown constant,we suppose to apply empirical characteristic function to estimate the change-point location.In the two cases,we consider the consistency and strong convergence rate of estimators.Furthermore,we consider the mean shift case.If mean changes,then corresponding characteristic function will change too.To this end,we also apply empirical characteristic function to estimate change point.We obtain the similar convergence rate.Finally,we consider its application on the detection of mean shift in financial market.     

Morgan-Scott型剖分上的样条空间的奇异性

Multivariate spline function is an important research object and tool in Computational Geometry. The singularity of multivariate spline spaces is a difficult problem that is ineritable in the research of the structure of multivariate spline spaces. The aim of this paper is to reveal the geometric significance of the singularity of bivariate spline space over Morgan-Scott type triangulation by using some new concepts proposed by the first author such as characteristic ratio, characteristic mapping of lines （or ponits）, and characteristic number of algebraic curve. With these concepts and the relevant results, a polished necessary and sufficient conditions for the singularity of spline space S u＋1^u （△MS^u） are geometrically given for any smoothness u by recursion. Moreover, the famous Pascal＇s theorem is generalized to algebraic plane curves of degree n≥3.     

MULTIRESOLUTIONS AND PRIMITIVES

In wavelet theory smootheness is one of the main interests. By the Mallat-Meyer construction (see [He] or [Ne]) the problem of finding smooth wavelets is reduces to finding smooth scaling functions of multiresolu-tims. From a given scaling function g a smoother one can be made by taking convolution with e. g. the characteristic function of [0,1]. In this article a characterisation of the multiresolution generated by that convolution-will be given by means of primitives of functions in the multiresolution generated by g. From this , the spline muhtresolutiom follow as a special case.     

Domain Decomposition Method Modified by Characteristic Finite Element Procedure for System of Parabolic Equations with Discontinuous Coefficients

In this work, system of parabolic equations with discontinuous coefficients is studied. The domain decomposition method modified by a characteristic finite element procedure is applied. A function is defined to approximate the fluxes on inner boundaries by using the solution at the previous level. Thus the parallelism is achieved. Convergence analysis and error estimate are also presented.     

ON GREEN＇S FUNCTION FOR HYPERBOLIC-PARABOLIC SYSTEMS

We study the Green＇s function for a general hyperbolic-parabolic system, including the Navier-Stokes equations for compressible fluids and the equations for magnetohydrodynamics. More generally, we consider general systems under the basic Kawashima- Shizuta type of conditions. The first result is to make precise the secondary waves with subscale structure, revealing the nature of coupling of waves pertaining to different characteristic families. The second result is on the continuous differentiability of the Green＇s function with respect to a small parameter when the coefficients of the system are smooth functions of that parameter. The results significantly improve previous results obtained by the authors.     

Empirical likelihood estimation of discretely sampled processes of OU type

This paper presents an empirical likelihood estimation procedure for parameters of the discretely sampled process of Ornstein-Uhlenbeck type. The proposed procedure is based on the condi- tional characteristic function, and the maximum empirical likelihood estimator is proved to be consistent and asymptotically normal. Moreover, this estimator is shown to be asymptotically efficient under some mild conditions. When the background driving Lévy process is of type A or B, we show that the intensity parameter c...     

Degree of Rational Approximation in Digital Filter Realization

In recursive digital filter design,the amplitude characteristic of an ideal filterhas to be translated into a rational function that is pole-free on the closed unitdisk and preferably has real coefficients.This is possible through a causal trans-formation utilizing the tolerance allowance.In this paper we study the degree ofuniform approximation by rational functions.     

特征函数的性质

得到了特征函数、条件特征函数的一致可微性和条件特征函数的反演公式.     

环内亚纯函数的特征函数

应用亚纯函数的Nevanlinna理论,研究了定义在圆环内的亚纯函数的特征函数.证明了定义在圆环内的具有最大亏量和的有限级允许亚纯函数f(名)与其各阶导函数f~((k))(z)的特征函数之间满足如下关系:当δ_0(∞,f)=1时,T_0(r,f~((k)))~T_0(r,f)(r→+∞);当δ_0(∞,f)=0时,T_0(r,f~((k)))~(k+1)T_0(r,f)(r→+∞),其中k为任意正整数.所得结果推广了定义在全平面上亚纯函数的一些相关结果.     

改进的代数体函数的正规增长定理

主要讨论了涉及Borel例外小函数(亚纯函数)的代数体函数的正规增长性,通过建立的特征函数间的相互关系及亚纯函数的正规增长定理,得到了关于Borel例外小函数的代数体函数的正规增长定理,进一步改进了有关文献的结论.     

随机变量和的特征函数的性质与应用

运用随机变量和的特征函数定义研究了随机变量和的特征函数在原点处二阶导数与协方差矩阵的关系,并给了一个简单的应用.     

波纹壳的格林函数方法

应用轴对称旋转扁壳的基本方程,研究了在任意载荷作用下具有型面锥度的浅波纹壳的非线性弯曲问题·　采用格林函数方法,将扁壳的非线性微分方程组化为非线性积分方程组·　再使用展开法求出格林函数,即将格林函数展成特征函数的级数形式,积分方程就成为具有退化核的形式,从而容易得到非线性代数方程组·　应用牛顿法求解非线性代数方程组时,为了保证迭代的收敛性,选取位移作为控制参数,逐步增加位移,求得相应的载荷·　在算例中,研究了具有球面度的浅波纹壳的弹性特征·　结果表明,由于型面锥度的引入,特征曲线发生显著变化,随着荷载的增加,将出现类似扁球壳的总体失稳现象·　本文的解答符合实验结果·     

概率分布的实函数实现问题

基于一维随机变量,通过阐释概率分布实函数实现的内在本质,给出了概率分布实函数实现的一个充分必要条件,得到分布函数族及其连续性特征,揭示出概率论中分布函数定义所蕴含的合理性和深刻性.     

Discrete Logarithm Based Cryptosystems in Quadratic Function Fields of Characteristic 2

We present a key exchange scheme similar to that of Diffie and Hellman using the infrastructure of quadratic function fields of even characteristic. This is a modification of the results of Scheidler, Stein and Williams who used quadratic function fields of odd characteristic. We also extend these results to give a digital signature scheme similar to that of ElGamal. These schemes are possible in this structure even though it is not a group. Finally we examine the security of such systems, and give a possible attack based on Pohlig and Hellman's attack on discrete logarithms in finite groups.     

基于小波变换的高斯函数极值点及拐点的判别

利用小波变换能够表征信号特征的特性 ,选取适当小波函数 ,对 Gauss函数作小波变换 ,根据小波变换零值点和极值点来判别 Gauss函数极值点和拐点 ,根据小波变换的变化情况来判别 Gauss函数的重叠情况 .结果表明是有效的 .     

基于三角基的网格形状变形

研究了在散乱数据的三角剖分后对所形成的空间三角形网格进行变形的具体操作算法.首先给出描述三角形网格各顶点空间位置的内在结构矩阵,然后插值于相应的结构矩阵,实现三角形网格之间的形状变形.该文的另一个特点是引入三角基函数作为混合函数,得到了更优的结果.