一类张量特征值互补问题

矩阵特征值互补问题在力学系统领域有广泛的应用.在本文中,我们提出了一类特殊的四阶张量特征值互补问题,它是矩阵特征值互补问题的推广.我们对该特征值互补问题解的存在性,计算复杂度等性质进行了初步的研究.在一定条件下,我们建立了该互补问题同一类非线性约束优化问题的等价性联系,并由此提出了平移投影幂法来求解该特征值互补问题.     

轴向均布载荷和约束对石油钻采管柱失稳长度的影响

以石油行业中的直井管柱为研究对象,建立了管柱在轴向均布载荷作用下的屈曲力学模型,概括了三种轴向均布载荷的分布特征.采用特征值屈曲有限元法,提出了分段计算管柱失稳长度的迭代流程.在正反三角形分布载荷作用下,其失稳长度小于三角形分布载荷作用下的失稳长度,前者的最大挠度靠近中和点;在梯形分布载荷作用下,给出了失稳长度随该段及其以上受压段的无量纲曲线.不同的位移约束条件也对管柱失稳长度有较大影响,工程应用中应区分不同的约束条件,方可得出实际的失稳长度.     

不同理论下圆板特征值之间的解析关系

基于经典板理论(CPT)、一阶剪切变形板理论(FPT)以及Reddy三阶剪切变形板理论(RPT)之间,圆板轴对称特征值问题在数学上的相似性,研究了不同理论之间圆板特征值间的解析关系．将特征值问题的求解转化为代数方程的求解,并导出了不同理论之间圆板特征值的显式精确解析关系．从而,只要已知圆板特征值（临界屈曲载荷和固有频率）的经典结果,便很容易从这些解析关系中得到一阶和三阶理论下圆板特征值的相应结果,这便于工程应用,同时也可检验一阶和三阶理论下板特征值的数值结果的有效性、收敛性以及精确性等问题．     

具有初始缺陷弹性板的稳定性分析

本文以Marguerre方程为基础,用奇异性理论研究了初始挠度缺陷以及横向载荷对弹性板屈曲后分叉解的影响。借助于普适开折的原理,在单特征值局部邻域内将该问题的失稳分析转化为三次代数方程的讨论,从而确定出分叉解的性态。同时绘出了在不同参数下的分叉解文,讨论了几何缺陷和横向载荷对特征值的影响。     

基于二阶指数混料模型的A-最优设计

使用最优设计理论研究混料试验的过程中,需考虑混料模型对应的函数向量。当函数向量为非线性函数时,虽可使用Taylor级数进行近似,但级数阶的选取必然使得误差的存在,给试验带来偏差。本文旨在使用最优设计理论,研究q分量二阶指数混料模型的A-最优设计问题,并得到了该模型下的最优设计。且从设计效率的角度,研究了不同分量下的A-最优设计效率,为确定设计优劣提供了一个依据,并给出了进一步可以研究的问题。     

关于几类矩阵的特征值分布

<正> 在矩阵论中以及应用矩阵工具的各类问题中,估计矩阵的特征值大小与分布十分重要.在[1]中,我们给出了非负矩阵(元素全非负的矩阵)最大特征值的计算与估计方法,并将此结果推广到更广的一类矩阵.在本文中,我们将对实用中几类重要矩阵给出它们特征值分布的估计.     

环形板的屈曲状态

本文研究了内边界固定、外边界可移夹紧并受面内径向均匀压缩推力p作用的环形板的轴对称屈曲状态。首先论述了问题的合理提法,给出了未屈曲板的平凡解的解析公式;得到了在平凡解处线性化问题的特征方程,并对某些参数值给出了前两个特征值(即临界载荷)。然后,在一个适度的假设下,证明了所有的临界载荷都是分支点,并给出了临界载荷附近屈曲解的渐近公式。     

黎曼流形上一类算子的特征值不等式（英文）

本文研究了等距浸入欧氏空间的黎曼流形、容许特殊函数的黎曼流形上的一类椭圆算子的加权狄利克雷特征值问题.我们建立了该问题的一些万有特征值不等式.同时,作为应用,我们获得了拉普拉斯算子的二次多项式算子的加权狄利克雷问题的一些结果.     

一类特殊矩阵的特征值反问题

§1 引言 关于特征值反问题的历史沿革,作者在文[1]中已经作了介绍,当前研究得比较成熟的是对称三对角矩阵的特征值反问题。作者在文[2]中提供了一个对称三对角矩阵特征值反问题的实际应用例子。本文考虑如下形状矩阵的特征值反问题:设     

混料模型的混合最优设计

最优设计是试验设计中必不可少的一种设计方法,混合最优设计是二步最优设计中一种常见的应用。本文以混料模型为基础,提出一种新的寻求混合最优设计的方法,并以此方法解决了混料模型的混合最优设计问题。     

An accurate a posteriori error estimator for the Steklov eigenvalue problem and its applications

In this paper, a type of accurate a posteriori error estimator is proposed for the Steklov eigenvalue problem based on the complementary approach, which provides an asymptotic exact estimate for the approximate eigenpair. Besides, we design a type of cascadic adaptive finite element method for the Steklov eigenvalue problem based on the proposed a posteriori error estimator. In this new cascadic adaptive scheme, instead of solving the Steklov eigenvalue problem in each adaptive space directly, we only need to do some smoothing steps for linearized boundary value problems on a series of adaptive spaces and solve some Steklov eigenvalue problems on a low dimensional space. Furthermore, the proposed a posteriori error estimator provides the way to refine mesh and control the number of smoothing steps for the cascadic adaptive method. Some numerical examples are presented to validate the efficiency of the algorithm in this paper.

     

Steklov eigenvalue problem and its applications An accurate a posteriori error estimator for the

In this paper, a type of accurate a posteriori error estimator is proposed for the Steklov eigenvalue problem based on the complementary approach, which provides an asymptotic exact estimate for the approximate eigenpair. Besides, we design a type of cascadic adaptive finite element method for the Steklov eigenvalue problem based on the proposed a posteriori error estimator. In this new cascadic adaptive scheme, instead of solving the Steklov eigenvalue problem in each adaptive space directly, we only need to do some smoothing steps for linearized boundary value problems on a series of adaptive spaces and solve some Steklov eigenvalue problems on a low dimensional space. Furthermore, the proposed a posteriori error estimator provides the way to refine meshes and control the number of smoothing steps for the cascadic adaptive method. Some numerical examples are presented to validate the efficiency of the algorithm in this paper.     

Steklov-Neumann eigenproblems and nonlinear elliptic equations with nonlinear boundary conditions

We study the solvability of nonlinear second order elliptic partial differential equations with nonlinear boundary conditions. We introduce the notion of “eigenvalue-lines” in the plane; these eigenvalue-lines join each Steklov eigenvalue to the first eigenvalue of the Neumann problem with homogeneous boundary condition. We prove existence results when the nonlinearities involved asymptotically stay, in some sense, below the first eigenvalue-lines or in a quadrilateral region (depicted in Fig. 1) enclosed by two consecutive eigenvalue-lines. As a special case we derive the so-called nonresonance results below the first Steklov eigenvalue as well as between two consecutive Steklov eigenvalues. The case in which the eigenvalue-lines join each Neumann eigenvalue to the first Steklov eigenvalue is also considered. Our method of proof is variational and relies mainly on minimax methods in critical point theory.     

The First Biharmonic Steklov Eigenvalue: Positivity Preserving and Shape Optimization

We consider the Steklov problem for the linear biharmonic equation. We survey existing results for the positivity preserving property to hold. These are connected with the first Steklov eigenvalue. We address the problem of minimizing this eigenvalue among suitable classes of domains. We prove the existence of an optimal convex domain of fixed measure.     

BOUNDARY ELEMENT APPROXIMATION OF STEKLOV EIGENVALUE PROBLEM FOR HELMHOLTZ EQUATION

1.IntroductionWeconsiderthefollowingStekloveigenvalueproblem:FindnonzerouandnumberA,suchthat--An u=0,infi,on,on=An,onr,(1.1)wherefiCRZisaboundeddomainwithsufficientsmoothboundaryr,4istheonoutwardllormalderivativeonr.CourantandHilb..tll]studiedthefollowingeigenvalueproblem:onac=0,infi,--~An,onr,(1.2)OnwhichwasreducedtotheeigenvalueproblemofanintegralequationbyusingtheGreen'sfunctionofAn=0withNuemannboundarycondition.FromFredholmtheorem,weknowthat(1)theproblem(1.2)hasinfinitenumberofeigenv…     

A Multilevel Correction Method for Steklov Eigenvalue Problem by Nonconforming Finite Element Methods

In this paper, a multilevel correction scheme is proposed to solve the Steklov eigenvalue problem by nonconforming finite element methods. With this new scheme, the accuracy of eigenpair approximations can be improved after each correction step which only needs to solve a source problem on finer finite element space and an Steklov eigenvalue problem on the coarsest finite element space. This correction scheme can increase the overall efficiency of solving eigenvalue problems by the nonconforming finite element method. Furthermore, as same as the direct eigenvalue solving by nonconforming finite element methods, this multilevel correction method can also produce the lower-bound approximations of the eigenvalues.     

Non-linear eigenvalue problems for <Emphasis Type="Italic">p</Emphasis>-Laplacian with variable domain

In this work we consider some eigenvalue problems for p-Laplacian with variable domain. Eigenvalues of this operator are taken as a functional of the domain. We calculate the first variation of this functional, using the obtained formula investigate behavior of the eigenvalues when the domain varies. Then we consider one shape optimization problem for the first eigenvalue, prove the necessary condition of optimality relatively domain, offer an algorithm for the numerical solution of this problem.     

Eigenvalues of the Wentzell–Laplace operator and of the fourth order Steklov problems

We prove a sharp upper bound and a lower bound for the first nonzero eigenvalue of the Wentzell–Laplace operator on compact manifolds with boundary and an isoperimetric inequality for the same eigenvalue in the case where the manifold is a bounded domain in a Euclidean space. We study some fourth order Steklov problems and obtain isoperimetric upper bound for the first eigenvalue of them. We also find all the eigenvalues and eigenfunctions for two kind of fourth order Steklov problems on a Euclidean ball.     

A Level Set Representation Method for N-Dimensional Convex Shape and Applications

In this work,we present a new method for convex shape representation,which is regardless of the dimension of the concerned objects,using level-set approaches.To the best of our knowledge,the proposed prior is the first one which can work for high dimensional objects.Convexity prior is very useful for object completion in computer vision.It is a very challenging task to represent high dimensional convex objects.In this paper,we first prove that the convexity of the considered object is equivalent to the convexity of the associated signed distance function.Then,the second order condition of convex functions is used to characterize the shape convexity equivalently.We apply this new method to two applications:object segmentation with convexity prior and convex hull problem(especially with outliers).For both applications,the involved problems can be written as a general optimization problem with three constraints.An algorithm based on the alternating direction method of multipliers is presented for the optimization problem.Numerical experiments are conducted to verify the effectiveness of the proposed representation method and algorithm.     

The Mechanical Quadrature Methods and Their Extrapolation for Solving BIE of Steklov Eigenvalue Problems

By means of the potential theory Steklov eigenvalue problems are transformed into general eigenvalue problems of boundary integral equations (BIE) with the logarithmic singularity.Using the quadrature rules, the paper presents quadrature methods for BIE of Steklov eigenvalue problem, which possess high accuracies O(h^3) and low computing complexities. Moreover, an asymptotic expansion of the errors with odd powers is shown. Using h^3-Richardson extrapolation, we can not only improve the accuracy order of approximations, but also derive a posterior estimate as adaptive algorithms. The efficiency of the algorithm is illustrated by some examples.