向径函数上的球面平均及其点态收敛性

设球面平均函数为,则当f∈LP(Rn)是向径函数, n≥3,1≤P≤n/n-1时,几乎处处成立.     

Almost everywhere convergence of Riesz means on noncompact symmetric spaceSL(3,H)/Sp(3)

LetG/K be the noncompact Riemannian symmetric spaceSL(3,H)/Sp(3). We shall prove in this paper that forf∈L ^p(SL(3,H)/Sp(3)), 1≤p≤2, the Riesz means of orderz off with respect to the eigenfunctions expansion of Laplace operator almost everywhere converge tof for Rez >δ(n,p). The critical index δ(n,p) is the same as in the classical Stein's result for Euclidean space, and as in the noncompact symmetric spaces of rank one and of complex type. Partially supported by National Natural Science Foundation of China     

Strong Statistical Convergence in Probabilistic Metric Spaces

Abstract

In this article, we introduce the concepts of strongly statistically convergent sequence and strong statistically Cauchy sequence in a probabilistic metric (PM) space endowed with the strong topology, and establish some basic facts. Next, we define the strong statistical limit points and the strong statistical cluster points of a sequence in this space and investigate the relations between these concepts.     

Hp(Ωn)(0＜p＜1)上临界阶Riesz平均强求和的逼近

本文讨论了球面上Hardy空间Hp(0＜p＜1)中Riesz平均的强求和在临界阶δ=n/p-n+1/2的有界性,并且建立了它和最佳逼近之间的关系.     

构造球面逼近算子的一种方法

借助于经典球面分析的Bochner-Riesz平均,Cesàro平均及有关球调和多项式的Gauss积分公式构造出了两类球面平移算子,并且以K-泛函为工具给出了逼近的上界估计.     

随机变量序列加权和的强收敛性

本文讨论了一般随机变量序列加权和的强收敛性．作为推论，得到一类鞅差序列加权和的收敛定理和若干经典的独立随机变量序列的强大数定律；已有的若干结论是本文结果的特例．     

递推M-估计的强收敛性

本文对u1(t)为单调递增这一比较常见的情形和在其它一些比较常见的条件 下,证明了M-估计递推算法中回归系数和散布矩阵的强相合性.     

球面Hardy空间上Riesz平均的逼近

引进了球面Hrady空间上Riesz平均算子及Peetre K模。讨论了Riesz平均算子在Hardy空间上的逼近性质。证明了Riesz平均算子与Peetre K模的强渐近等价关系。所得结果表明Peetre K模完全刻划了Riesz平均的逼近。     

关于m-增生算子零点的粘性复合迭代序列的强收敛性

在一致光滑的Banach空间的框架下,引入关于m-增生算子的一种新粘性复合迭代序列{xn},并证明了在适当的控制条件下,此迭代序列强收敛于m-增生算子的一个零点,用不同方法推广了相关文献的近代结果.     

Strong bounds on perturbations

This paper provides strong bounds on perturbations over a collection of independent random variables, where ‘strong’ has to be understood as uniform w.r.t. some functional norm. Our analysis is based on studying the concept of weak differentiability. By applying a fundamental result from the theory of Banach spaces, we show that weak differentiability implies norm Lipschitz continuity. This result leads to bounds on the sensitivity of finite products of probability measures, in norm sense. We apply our results to derive bounds on perturbations for the transient waiting times in a G/G/1 queue. This research is supported by the Technology Foundation STW, applied science division of NWO and the technology programme of the Ministry of Economic Affairs.     

Convergence rate of spherical harmonic expansions of smooth functions

We extend a well-known result of Bonami and Clerc on the almost everywhere (a.e.) convergence of Cesàro means of spherical harmonic expansions. For smooth functions measured in terms of φ-derivatives on the unit sphere, we obtained the sharp a.e. convergence rate of Cesàro means of their spherical harmonic expansions.     

NOD序列加权和的强收敛速度

该文研究了NOD序列加权和的强收敛速度, 获得了一些新的完全收敛性的结果. 该文的结果推广了陈瑞林$^{[1]}$在NA情形时的结果,部分推广了Stout$^{[2]}$在独立同分布情形时的结果.     

竞争风险场合PL型估计的强一致收敛性

本文构造了竞争风险场合分布函数的乘积极限（PL）型估计，运用经验过程的强逼近理论及Toylor展开方法，给出了PL型估计在全直线上的强一致收敛速度及其充分必要条件。     

广义线性模型中极大拟似然估计的强收敛速度

在sup_{i ≥1}E||y_i||^2+α < ∞(对某个α > 0)和其它正则条件下, 证明了一般联系函数的多维广义线性模型拟似然估计的强相合性, 并得到了强收敛速度, 其中 y_i 是响应变量. 此结果是对文献中相应结果的改进.     

整体退火遗传算法的几乎处处强收敛性

本文通过鞍论来分析整体退火遗传算法收敛的特性，得出整体退火遗传算法几乎处处强收敛的条件∑n=1^∞e^-δ,Tn＜ ∞，并且给出其收敛率0（1/N N0 （2-Cn^-^N0-mn^-^N0)e^(△-d)/Tm)。     

Convergence for Summation Methods with Multipliers on the Sphere

In this article, we present convergence rates for summation methods with multipliers related to certain approximation methods on the sphere we previously introduced and discussed in Menegatto and Piantella [13 V.A. Menegatto and A.C. Piantella ( 2005 ). Approximation on the sphere by weighted Fourier expansions . J. Appl. Math. 2005 ( 4 ): 321 – 340 . [Google Scholar]]. The results are based upon spherical moduli of smoothness defined via the Laplace–Beltrami derivative.     

Banach空间中渐近非扩张映射逼近序列的强收敛性

该文研究了序列{x_n}的收敛性。其中x_0∈C, x_{n+1}=α_n T^n x_n+(1-α_n)x, n=0,1,2,…,这里0≤α_n≤1，T是Banach空间中非空闭凸子集C到自身的渐近非扩张映射。同时证明了：当z_n=(1-t_n/k_n)u+t_n/k_n T^n z_n且lim_{n→∞}{(k_n-1)/(1-t_n)}=0,lim‖z_n-Tz_n‖=0时，T有不动点当且仅当{z_n}有界。这时{z_n}强收敛于T的不动点。     

Marcinkiewicz积分交换子的弱型(H1,L1)估计

§1Introductionandstatementofresult DenotebySn-1theunitsphereinRn(n≥2)equippedwiththenormalizedLebesgue measuredx′=dσ(x′).LetΩ∈L1(Sn-1)behomogeneousofdegreezeroandsatisfy∫Sn-1Ω(x′)dx′=0.(1.1)Then-dimensionalMarcinkiewiczintegralcorrespondingtotheLittlewood-Paleyg-functionintroducedbyStein[1]isdefinedbyμΩ(f)(x)=∫∞0|FΩ,t(f)(x)|2dtt31/2,where FΩ,t(f)(x)=∫|x-y|≤tΩ(x-y)|x-y|n-1f(y)dy.In1958,Stein[1]provedthatifΩ∈Lipγ(Sn-1)(0<γ≤1),thenμΩisoftype(p,p)for1相似文献   

条件泛函及其导数非参数估计的强一致收敛速度

研究了条件泛函及其导数的非参数估计,对随机与固定设计的条件泛函,分别利用核估计和非参数加权估计,在核函数及权函数满足一定条件下,证明了估计一致强收敛于待估函数的速度可达到最优。从而进一步推广和发展了Hrdle,etal.(1988)、Severini,etal.(1992)的许多结果。