关于中心指数是2的环

本文首先定义了环的中心指数的概念,然后特别讨论了中心指数是2的一些环。     

矩阵序列与多重线性多项式

引入矩阵序列的概念，研究了一般环上矩阵环的多重线性多项式。     

古交矿区煤的热解脱硫试验

文章详细介绍了对古交矿区8号煤进行不同升温速度和不同终温条件下的硫试验。     

面积比较与上调和函数及其应用

本文研究了无穷远处具非负截曲率的完备非紧流形的几何和解析性质,并将 它应用于调和映照.     

二阶导数光谱-峰面积积分法同时测定芦荟中痕量铁(Ⅱ)和钴(Ⅱ)

在 1,10 -邻菲罗啉显色体系中 ,引入二阶导数光谱 -峰面积积分技术 ,建立了同时测定痕量铁 ( )和钴 ( )的新方法。该法可有效消除共存离子的干扰 ,提高了准确度和灵敏度。对铁和钴的表观摩尔吸光系数分别为 εFe5 .4 5× 10 6 L·mol-1·cm-1,εCo 1.1× 10 4 L· mol-1· cm-1;铁含量在 0 .0— 8.5 μg·m L-1,钴含量在 0 .0— 7.3μg· m L-1范围内遵守比耳定律。可用于芦荟中铁和钴的同时测定 ,结果令人满意     

On the Curvature of the Central Path of Linear Programming Theory

We prove a linear bound on the average total curvature of the central path of linear programming theory in terms of the number of independent variables of the primal problem, and independent of the number of constraints.     

The Central Limit Problem for Random Vectors with Symmetries

Motivated by the central limit problem for convex bodies, we study normal approximation of linear functionals of high-dimensional random vectors with various types of symmetries. In particular, we obtain results for distributions which are coordinatewise symmetric, uniform in a regular simplex, or spherically symmetric. Our proofs are based on Stein’s method of exchangeable pairs; as far as we know, this approach has not previously been used in convex geometry. The spherically symmetric case is treated by a variation of Stein’s method which is adapted for continuous symmetries. This work was done while at Stanford University.     

Local polynomial fitting under association

We consider the estimation of multivariate regression functions r(x₁,…,x_d) and their partial derivatives up to a total order p1 using high-order local polynomial fitting. The processes {Y_i,X_i} are assumed to be (jointly) associated. Joint asymptotic normality is established for the estimates of the regression function r and all its partial derivatives up to the total order p. Expressions for the bias and variance/covariance matrix (of the asymptotic distribution) are given.     

有限群为ρ-幂零群的一些充要条件

在文献[1]研究Ⅱ-超中心的基础上,取Ⅱ={p},即利用p-超中心得到了ρ-幂零群的另外一些充要条件,并推广了文献[2]介绍的ITo定理.     

On the Weak Invariance Principle for Stationary Sequences under Projective Criteria

In this paper, we study the central limit theorem and its weak invariance principle for sums of a stationary sequence of random variables, via a martingale decomposition. Our conditions involve the conditional expectation of sums of random variables with respect to the distant past. The results contribute to the clarification of the central limit question for stationary sequences. Magda Peligrad is supported in part by a Charles Phelps Taft research support grant at the Univeristy of Cincinnati and the NSA grant H98230-05-1-0066.