半平面中解析函数的积分表示

本文证明了半平面中满足某些限制增长条件的解析函数可以用加权Blaschke乘积和在半平面边界上的积分之和表示出来,这一结果改进了在半平面为指数型解析函数的经典结果.     

半平面中级小于2的解析函数的分解

该文证明了半平面中级小于2的解析函数可以分解为加权 Blaschke 乘积, 加权内函数和加权外函数三个解析函数的乘积, 这一结果是Hardy空间中的解析函数的经典分解结果的推广.     

半平面中解析函数的积分表示及在逼近中的应用

在该文中, 作者证明了满足一定增长性条件的右半平面上的解析函数可以由它在边界上的积分和其加权Blaschke乘积的和表示, 作为应用, 作者还考虑了指数多项式在实数轴上加权 Banach 空间C_α 中的完备性.     

从属解析函数族的有限阶哈达玛乘积

设P[A,B]={f(z):f(z)(?)(1+Az)/(1-Bz),A+B≠0,|B|≤1,f(z)在单位开圆盘内解析}.定义函数族H_1,H_2,…,H_n的有限阶哈达玛乘积为H_1*H_2*H_3…*H_n(z)={f_1*f_2*f_3*…f_n(z):f_i∈H_i,i=1,2,…,n,n∈Z~+}.讨论并得到了P(A_1,B_1)*P(A_2,B_2)*P(A_3,B_3)*…*P(A_n,B_n)=P(X,Y)的充分必要条件,主要结果是对先前相应研究内容的直接推广.     

半平面中调和函数的积分表示

本文对于半平面中的调和函数u(z),证明了正部u (z)满足某些限制增长条件,用半平面边界上的积分表示,它的负部u-(z)也被类似的增长条件所控制.得到了半平面中负的调和函数的经典结果.     

张量乘积图的同构因子分解

本文讨论了两个可分图的张量乘积图的同构因子分解问题.给出了张量乘积图可同构因子分解的判定条件.     

半平面中调和函数的积分表示和估计

对于半平面中的调和函数,在本文中证明了如果它的正部满足某些限制增长条件,则它可以用半平面边界上的积分表示出来并且它的绝对值也满足类似的增长条件,这一结果改进了在半平面中调和函数的某些经典结果.     

图中推广的正交因子分解

设G是一个图,具有顶点集合V(G)和边集合E(G).设g和f是定义在V(G)上的整数值函数,使对每个x∈V(G),有g(x)≤f(x).图G的一个(g,f)-因子是G的一个支撑子图H,使对每个x∈V(G),有g(x)≤d_H(x)≤f(x).G的一个(g,f)-因子分解是E(G)的边不相交的(g,g)-因子的一个划分.设F={F-1,F_2,…,F_m}为G的一个因子分解,H是G的一个有mr条边的子图.如果每个F_i恰好与H有r条公共边,1≤i≤m,则称Fr-正交于H.本文证明每个(mg+kr,mf-kr)-图含有一个子图R,使R有(g,f)-因子分解r-正交于任意给定的有kr条边的子图,其中m,k和r为正整数且k相似文献   

半平面中解析函数的零点

对在半平面中属于加权Hardy空间,不恒为零且在某一固定点列上为零的解析函数的存在性给出了充分必要条件。     

双解析函数、双调和函数和平面弹性问题

通过考虑双解析函数和双调和函数的关系,对单连通区域上平面弹性问题中只有重力体力作用的应力函数建立了唯一性和存在性结果;并对单位圆区域得到了类似于Poisson公式解的积分表示式。     

Integral logarithmic means of Blaschke products

Using the Fourier series method, we generalize results characterizing the behavior of the integral logarithmic means of Blaschke products of arbitrary order for meromorphic functions.Translated fromMatematicheskie Zametki, Vol. 64, No. 2, pp. 199–206, August, 1998.     

Finite Blaschke product interpolation on the closed unit disc

We show how to construct all finite Blaschke product solutions and the minimal scaled Blaschke product solution to the Nevanlinna-Pick interpolation problem in the open unit disc by solving eigenvalue problems of the interpolation data. Based on a result of Jones and Ruscheweyh we note that there always exists a finite Blaschke product of degree at most n−1 that maps n distinct points in the closed unit disc, of which at least one is on the unit circle, into n arbitrary points in the closed unit disc, provided that the points inside the unit circle form a positive semi-definite Pick matrix of full rank. Finally, we discuss a numerical limiting procedure.     

On the Bernstein Inequality for Rational Functions with a Prescribed Zero

We extend some results of Giroux and Rahman (Trans. Amer. Math. Soc.193(1974), 67–98) for Bernstein-type inequalities on the unit circle for polynomials with a prescribed zero atz=1 to those for rational functions. These results improve the Bernstein-type inequalities for rational functions. The sharpness of these inequalities is also established. Our approach makes use of the Malmquist–Walsh system of orthogonal rational functions on the unit circle associated with the Lebesgue measure.     

Concentration at a radius for Hardy class functions

In this paper we establish the fundamental properties of concentration at a radius for functions in the classical Hardy space on the unit disk. For f(z) which is not identically zero and given r, 0<r<1, the concentration is defined via the ratio of the norm of f(rz) to the norm of f(z). Using the Mahler measure of f(z), we obtain information on the distribution of the zeros of f(z) in terms of the concentration ratio. In the last section of the paper, we examine the sharpness of concentration estimates for the Blaschke factor.     

唯一分解整半群上的Mobius函数及其反演公式

陈兆斗首先在文献[1]中定义出了有单位元并满足消去律的唯一分解交换半群上的Mbius函数.本文我们首先证明了Mbius函数作为半群(M1,*)上的元素是常值函数ζ(·)的逆函数.其后获得了该Mbius函数的一些相关结果并给出了三个Mbius反演公式.     

A method for rational Chebyshev approximation of rational functions on the unit disk and on the unit interval

A method for construction of CF approximants in some cases of rational approximation of a rational function f on the unit disk and on the unit interval is presented. The inverted square root of the greatest positive eigenvalue and a corresponding eigenvector of an eigenvalue problem defined by the coefficients of f gives the solution.