不动点集为常余维数6的(Z2)2作用

记J_n,k^r为具有如下性质的n维未定向上协边类α构成的集合:存在α的一个代表元Mⁿ及(Z₂)^k在Mⁿ上的作用,其不动点集为常余维数r .记J_n,k^r=∑_nJ_n,k^r,则J_n,k^r为未定向上协边环MO_n=     

辛流形M×R2n中的Hofer-Zehnder辛容量及应用

本文讨论辛流形(M×R²ⁿ,ωσ)中的 Hofer-Zehnder辛容量,定义 l₁(M,ω)=:inf{〈ω,α〉|〈ω,α〉>0,α∈π₂(M)}.证明若l₁(M,ω)>0,πr²<1/2l₁(M,ω),则C_HZ(M×B(r))=C_HZ(M×Z(r))=πr².当M等于点{P}时,就得到目前已知的结论.设CPⁿ是复投影空间,ω是CPⁿ上的辛形式,满足∫_cp¹ω=n+1,那么当πr²<1/2(n+1)时,C_HZ(CPⁿ×B(r))=C_HZ(M×Z(r))=πr².作为应用,还将证明M×Z((l₁(M,ω)/2π)^1/2)中的 Weinstein猜想成立.     

U-统计量对数律的精确渐近性

设{X_n, n ≥1}是独立同分布随机变量序列, U_n 是以对称函数(x, y) 为核函数的U -统计量. 记U_n =2/n(n-1)∑_{1≤i h(Xi, Xj), h1(x) =Eh(x, X2). 在一定条件下, 建立了∑n=2^∞(logn)^δ-1EUn²I {I U n |≥n ^1/2√lognε}及∑n=3^∞(loglognε)^δ-1/logn EUn² I {|U n|≥n^1/2√log lognε} 的精确收敛速度.}     

强Θ类算子生成的C*-代数及其K-理论

本文研究由强类算子T生成的C^*-代数,证明了C^*(T)的换子理想I(T)是一列*同构于C₀(Z⁰)上n阶矩阵代数的n齐次代数和的闭包,特别当T完全非正常时,I(T)与C₀(Z₀)K(l²)*同构。本文第二部分得到完全非正常强类算子的谱与其近似点谱相等的一些等价条件,并计算了由该类算子生成的C^*-代数的一些K群。     

无限长信号中值滤波列的收敛性

若x ={x(n) }_n∈Z是一实数列 ,对每一正整数 p ,x^(p) ={x^(p) (n) }_n∈Z表示x通过p次窗为 2k + 1的中值滤波后的序列 .证明了{x^{( 2p)} }p≥ 1和 {x^{( 2p -1)} }p≥ 1皆收敛 ,从而完全解决了无限长信号中值滤波的收敛性问题 .     

B值随机元阵列加权和的Lr收敛性

设B是实可分的Banach空间,{Xni,Fni,un≤i≤vn,n≥1}是B值适应随机元阵列,{αni,un≤i≤vn,n≥1}是实数阵列,当0＜r＜1或1≤r≤p且B是p可光滑时,研究了∑vni=un aniXni的Lr收敛性,所得的结果推广并改进了许多已知的结果.     

关于Grünwald插值算子及其应用

本文研究了基于Jacobi多项式J_n^(α,β)(x)(0<α,β<1)的零点{x_k}_lⁿ的Grünwald插值多项式G_n(f;x)=(?)f(x_k)l_k²(x),证明了G_n(f;x)在(-1,1)内的任一闭子区间上一致收敛于连续函数f(x);从而拓广了Grünwald所得结果。     

类对称函数的Schur凸性和不等式

对x = (x₁, x₂,···, x_n) ∈ (0,1)ⁿ 和 r ∈ {1, 2,···, n} 定义对称函数 F_n(x, r) = F_n(x₁, x₂,···, x_n; r) =∏_{1≤i1∑j=1^r(1+xi3/1- xi3)^1/r, 其中i1, i2, ···, ir 是整数. 该文证明了Fn(x, r) 是(0,1)ⁿ 上的Schur凸、Schur乘性凸和Schur调和凸函数. 作为应用,利用控制理论建立了若干不等式.}     

Banach空间中φ-半压缩型映象不动点的迭代逼近

设X为实一致光滑Banach空间,K为X的非空凸子集满足K+K?K.设T：K→K为有界φ-半压缩映象.设{v_n｝_n=0^∞,｛v_n｝_n=0^∞为K中的序列,{α_n｝_n=0^∞,{β_n｝_n=0^∞为[0,1]中的实数列满足(?)若｛Ty_{n相似文献}   

一致光滑Banach空间中一类K-正定算子方程的可解性及其迭代构造

设X为一致光滑Banach空间,A:D（A）?X→X为K-正定算子满足D（A）=D（K）,则存在常数β>0使得?x∈D（A）,||∧x||≤β||Kx||而且?f∈X,方程∧x=f有唯一解;设{a_n}_n≥0为[0,1]中的实数列满足（i）a_n→0（n→∞）,（ii）∑_n=0^∞a_n=∞, ?x₀∈D（A）,迭代地定义序列{x_n}_n≥0≥0如下:(?)则{x_n}_n≥0强收敛于方程Ax=f的唯一解.     

Towards a unification of certain characterizations by conditional expectations

The paper presents a characterization of a general family of distributions by the form of the expectation of an appropriately truncated function of the random variable involved. The obtained result unifies results existing in the literature for specific distributions as well as new results that appear for the first time in this paper. A discrete version is also provided unifying existing characterizations of known discrete distributions.     

关于伽马分布及相关分布性质的一点研究

主要研究伽马分布的性质,并通过对伽马分布可加性的研究.得到由指数分布通过伽马分布构造卡方分布和均匀分布的方法,通过本文可以加深对伽马分布和其它常见连续性分布关系的认识.     

A Review of Results on Sums of Random Variables

Sums of random variables arise naturally in wireless communications and related areas. Here, we provide a review of the known results on sums of exponential, gamma, lognormal, Rayleigh and Weibull random variables. A discussion is provided of two applications. We expect that this review could serve as a useful reference and help to advance further research in this area.     

概率分布的若干特征性质

讨论了初等概率论中有关分布的特征性质,在现行的教材中均没有重点列出,但这些性质都是非常重要的.     

Asymptotic Distribution of a Kind of Dirichlet Distribution

The Dirichlet distribution that we are concerned with in this paper is very special, in which all parameters are different from each other. We prove that the asymptotic distribution of this kind of Dirichlet distributions is a normal distribution by using the central limit theorem and Slutsky theorem.     

统计学上三大分布推导方法

讨论了如何求随机变量函数分布的方法,然后用两种方法推出统计学上三个重要分布的概率分布密度函数.方法独特新颖.     

On singular matrix variate beta distribution

1.IntrodnctionThispaperextendsthestudyofthesingularmatrixvariatebetadistributionofrank1[1]tothecaseofageneralrank.Astherelateddistributiontonormalsampling,thematrixvariatebetadistribution(alsocalledthemultivariatebetadistribution)hasbeenstudiedextens...     

New examples of heavy-tailed O-subexponential distributions and related closure properties

Let L and S denote the classes of distributions with long tails and subexponential tails respectively. Let OS denote the class of distributions with O-subexponential tails, which means the distributions with the tails having the same order as the tails of their 2-fold convolutions. In this paper, we first construct a family of distributions without finite means in L∩OS?S. Next some distributions in L∩OS?S, which possess finite means or even finite higher moments, are also constructed. In connection with this, we prove that the class OS is closed under minimization of random variables. However, it is not closed under maximization of random variables.     

Exponential Mixture Representation of Geometric Stable Distributions

We show that every strictly geometric stable (GS) random variable can be represented as a product of an exponentially distributed random variable and an independent random variable with an explicit density and distribution function. An immediate application of the representation is a straightforward simulation method of GS random variables. Our result generalizes previous representations for the special cases of Mittag-Leffler and symmetric Linnik distributions.     

双曲分布及其在VaR模型分析中的应用

传统的计算V aR的R iskM etrics方法不能对市场风险分布的“厚尾”现象给出较为满意的刻画和计算方法.本文引入双曲分布及其算法并将双曲分布应用到V aR模型的计算之中,事实上通过对股票市场的实证研究表明,股票市场数据呈厚尾现象,用双曲分布对数据的拟合要比R iskM etrics方法假定的正态分布更符合金融市场数据的实际情况,故本文的结论与方法对金融风险管理和其他金融建模是有价值的.