Lipschitz域上的帐蓬空间

一、预备知识在[1]中,R.Coifman, Y.Meyer和E.Stein定义了R_+~(n+1)上的帐蓬空间,并讨论它们的一系列性质及应用。本文把帐蓬空间推广到Lipschitz域上。有两种Lip域:有界的与无界的。定义1 设φ:R~(n+1)→R,满足|φ(x)-φ(x′)|≤M|x-x′|,那么区域{(x′,x_n)=(x_1,x_2,…,x_(n-1),x_n): x_n>φ(x′)}是一个无界的Lip域。定义2 设D是一个有界的连通开集。对任意Q∈D,存在以Q为中心的球B,在B内存在一个坐标系x′=(x_1,x_2,…,x_(n-1)),x_n,坐标原点是Q。还存在一个映射φ:R~(n-1)→     

Least square fitting of low resolution gamma ray spectra with cubic B-spline basis functions

In this paper, the least square fitting method with the cubic B-spline basis lunctions is derived to reduce the influence of statistical fluctuations in the gamma ray spectra. The derived procedure is simple and automatic. The results show that this method is better than the convolution method with a sufficient reduction of statistical fluctuation.     

Heuristic approach for peak regions estimation in gamma-ray spectra measured by a NaI detector

In this paper, a heuristic approach based on Slavic＇s peak searching method has been employed to estimate the width of peak regions for background removing. Synthetic and experimental data are used to test this method. With the estimated peak regions using the proposed method in the whole spectrum, we find it is simple and effective enough to be used together with the Statistics-sensitive Nonlinear Iterative Peak-Clipping method.     

BMO函数和Hormander乘子构成的交换子的加权L~p估计

本文讨论BMO函数b(x)与满足Hormander条件的乘子m∈M(s,l)所构成的交换子的加权L~p估计.     

由加权模不等式得到的几个交换子的结果

本文给出BMO函数分别与乘子、S_1~0,0类伪微分算子以及正的BMO函数与g_λ~*函数构成交换子的L~p估计。方法是使用复解析算子由它们的加权模不等式而得到。此方法是R·Coifman和Y·Meyer在证明A·Calderon猜测时所用的。