A note on the weighted Hilbert's inequality

A finite Hilbert transformation associated with a polynomial is the analogue of a Hilbert transformation associated with an entire function which is a generalization of the classical Hilbert transformation. The weighted Hilbert inequality, which has applications in analytic number theory, is closely related to the finite Hilbert transformation associated with a polynomial. In this note, we study a relation between the finite Hilbert transformation and the weighted Hilbert's inequality. A question is posed about the finite Hilbert transformation, of which an affirmative answer implies the weighted Hilbert inequality.

     

一类再生核空间H~m[a,b]及其性质

对于光滑度各异的再生核空间Hm[a,b]未使用经典的广义函数δ(t),而用新方法和新技巧求得了再生核Rm(x,y)的通式,给出了再生核一些新的性质,并证明了再生核Rm(x,y)是关于变量x的2 m-1阶样条函数,再生核空间Hm[a,b]与其他相应的再生核空间是等价的.最后,对带有各类边值条件的再生核闭子空间H30[a,b],给出了新的定义和再生核函数R30(x,y)的通式,亦即给出了再生核子空间再生核的通用算法.     

关于拟Koszul模范畴的核与余核

设R是诺特半完全代数,0——K——M——N——0是有限生成R-模范畴中的任意短正合列.主要研究了当K,M是拟Koszul模时,N何时是拟Koszul模以及M,N是拟Koszul模时,K何时是拟Koszul模,它完善了GREEN和MARTíNEZ-VILLA在1996年得到的结果.     

弹性力学的复变量重构核粒子法

在重构核粒子法的基础上,提出了复变量重构核粒子法.复变量重构核粒子法的优点是采用一维基函数建立二维问题的修正函数.然后,将复变量重构核粒子法应用于弹性力学,提出了弹性力学的复变量重构核粒子法,并推导了相关公式.与传统的重构核粒子法相比,复变量重构核粒子法具有计算量小、效率高的优点.最后给出了数值算例证明了该方法的有效性. 关键词： 重构核粒子法 复变量重构核粒子法 弹性力学 无网格方法     

Approximation of kernel matrices by circulant matrices and its application in kernel selection methods

This paper focuses on developing fast numerical algorithms for selection of a kernel optimal for a given training data set. The optimal kernel is obtained by minimizing a cost functional over a prescribed set of kernels. The cost functional is defined in terms of a positive semi-definite matrix determined completely by a given kernel and the given sampled input data. Fast computational algorithms are developed by approximating the positive semi-definite matrix by a related circulant matrix so that the fast Fourier transform can apply to achieve a linear or quasi-linear computational complexity for finding the optimal kernel. We establish convergence of the approximation method. Numerical examples are presented to demonstrate the approximation accuracy and computational efficiency of the proposed methods.     

The complex variable reproducing kernel particle method for two-dimensional elastodynamics

On the basis of the reproducing kernel particle method (RKPM), a new meshless method, which is called the complex variable reproducing kernel particle method (CVRKPM), for two-dimensional elastodynamics is presented in this paper. The advantages of the CVRKPM are that the correction function of a two-dimensional problem is formed with one-dimensional basis function when the shape function is obtained. The Galerkin weak form is employed to obtain the discretised system equations, and implicit time integration method, which is the Newmark method, is used for time history analysis. And the penalty method is employed to apply the essential boundary conditions. Then the corresponding formulae of the CVRKPM for two-dimensional elastodynamics are obtained. Three numerical examples of two-dimensional elastodynamics are presented, and the CVRKPM results are compared with the ones of the RKPM and analytical solutions. It is evident that the numerical results of the CVRKPM are in excellent agreement with the analytical solution, and that the CVRKPM has greater precision than the RKPM.     

Meshless analysis of three-dimensional steady-state heat conduction problems

Steady-state heat conduction problems arisen in connection with various physical and engineering problems where the functions satisfy a given partial differential equation and particular boundary conditions, have attracted much attention and research recently. These problems are independent of time and involve only space coordinates, as in Poisson’s equation or the Laplace equation with Dirichlet, Neuman, or mixed conditions. When the problems are too complex, it is difficult to find an analytical solution, the only choice left is an approximate numerical solution. This paper deals with the numerical solution of three-dimensional steady-state heat conduction problems using the meshless reproducing kernel particle method (RKPM). A variational method is used to obtain the discrete equations. The essential boundary conditions are enforced by the penalty method. The effectiveness of RKPM for three-dimensional steady-state heat conduction problems is investigated by two numerical examples.     

改进的物理粘性SPH方法及其在溃坝问题中的应用

在低雷诺数物理粘性SPH方法基础上引入再生核粒子法进行密度重构,既避免了用人工粘性所导致的数值耗散问题,又提高了低雷诺数物理粘性SPH方法的数值稳定性;以溃坝问题为例,对比分析低雷诺数物理粘性SPH方法和本文方法的仿真结果表明,本文方法可有效消除数值不稳定,压强和速度分布更加光滑,粒子秩序更好,可应用于雷诺数较高或粘性不可忽略的流动问题.     

弹性力学的重构核粒子边界无单元法与有限元的耦合法

将重构核粒子边界无单元法(RKP-BEFM)与有限元法(FEM)耦合,形成求解具有区域特征的弹性力学问题的重构核粒子边界无单元与有限元的耦合方法RKP-BEF/FE.推导了重构核粒子边界无单元与有限元耦合方法的离散化公式,建立了节点未知量的耦合方程.重构核粒子边界无单元法和有限单元法的较高精度保证了这一直接耦合方法的成功实现与求解精度.最后给出了平面问题的数值算例,验证了提出的耦合方法RKP-BEF/FE的有效性.