非对称自变量线性各向同性张量函数的表示

本文给出了非对称自变量的线性各向同性标量值和张量值张量函数表示定理的数学证明.     

非线性各向同性弹性材料热应力本构方程

在非线性各向同性弹性体张量形式的本构方程基础上,仅考虑温度初值和增值,按照表示定理,补充考虑温度影响的完备项,建立了非线性各向同性弹性材料完备的多项式形式的热应力本构方程和应变能函数．作为应用举例,利用MATLAB软件,将本构方程与现有文献中高温金属材料单向拉伸和压缩情况下弹性阶段的实验数据进行了拟合,结果表明实验值与所提出的理论模型的结果显示了良好的一致性．     

用张量导数法求横观各向同性弹性材料的弹性张量的一般形式

用对张量函数求导的方法导出了横观各向同性材料和各向同性材料的弹性张量的一般形式与应力-应变关系式.从推导过程可更清楚地看出为什么横观各向同性材料和各向同性材料分别有五个和两个独立的弹性常数,即材料有几个独立的弹性常数是由其应变能函数的形式所决定的.     

论单位张量是唯一的二阶各向同性张量

在所有二阶张量中,只有单位张量(度规张量),是各向同性的;二阶各向同性张量一定是球张量,反之亦然;偏张量为零的二阶张量一定是各向同性的。     

高阶各向同性张量的搜求方法

基于单位张量是唯一带有根本性意义的二阶各向同性张量的结论,系统推演搜求高阶各向同性张量的具体方法.     

五阶各向同性Descartes张量

研究了五阶各向同性张量的存在性及其一般表示问题,得出了三阶各向同性Descartes张量的一般表达式。     

一类log-cosine和log-sine积分的闭形式

考虑了Beta函数偏导数的递推公式的表示问题.利用Beta函数偏导数的递推公式,给出一类log--cosine和log-sine积分的闭形式.     

一道高考题的思维路径分析

纵观近几年的高考试题，对有关函数与导数的综合题的考察越来越受到重视．高考对有关函数与导数的考察重在对函数与导数知识理解的准确性、深刻性以及与其他知识版块的相互联系上．然而学生遇到利用导数相关知识研究函数的极值、单调区间、不等式恒成立以及函数零点或方程根等问题时，十分茫然，不知从何下手．本文试图通过多种思维途径人手，得到不同的解答方法，从而使此类问题得到有效解决．     

弹性动力学中的牵引力问题

在连续介质力学中不仅Cauchy六方程 是不完善的,而且著名的Cauchy运动定律(式中,,ρb,T及divT是连续的)也是不完善的[2].前六个方程的不完善是由于在空间给定点上变形的几何表示方法至今尚非完全[3],而后两个定律的不完善则Cauchy自己解释说ρb,T及divT是标架无关的,但则不是,且T是对称的[2].因此我们说后两个定律不可能满足广义标架上的非对称张量.本文的目的是在三维牵引力域的影响下用广义标架上的非对称张量来完善Cauchy运动定律.     

从2006年高考看用导数探讨函数图象的交点问题

2006年高考数学导数命题在方向基本没变的基础上，又有所创新．导数命题创新的两个方面：一是研究对象的多元化，由研究单一函数转向研究两个函数或多个函数，二是研究内容的多元化，由用导数研究函数性质（单调性、最值、极值）转向运用导数综合研究函数的性质、函数图象的交点和方程根的分布等，实际上就是运用导数考查函数图象的交点个数问题．     

Average case tractability of non-homogeneous tensor product problems with the absolute error criterion

We study average case tractability of non-homogeneous tensor product problems with the absolute error criterion. We consider algorithms that use finitely many evaluations of arbitrary linear functionals. For general non-homogeneous tensor product problems, we obtain the matching necessary and sufficient conditions for strong polynomial tractability in terms of the one-dimensional eigenvalues. We give some examples to show that strong polynomial tractability is not equivalent to polynomial tractability, and polynomial tractability is not equivalent to quasi-polynomial tractability. But for non-homogeneous tensor product problems with decreasing eigenvalues, we prove that strong polynomial tractability is always equivalent to polynomial tractability, and strong polynomial tractability is even equivalent to quasi-polynomial tractability when the one-dimensional largest eigenvalues are less than one. In particular, we find an example that quasi-polynomial tractability with the absolute error criterion is not equivalent to that with the normalized error criterion even if all the one-dimensional largest eigenvalues are one. Finally we consider a special class of non-homogeneous tensor product problems with improved monotonicity condition of the eigenvalues.     

Symmetric tensor decomposition by alternating gradient descent

The symmetric tensor decomposition problem is a fundamental problem in many fields, which appealing for investigation. In general, greedy algorithm is used for tensor decomposition. That is, we first find the largest singular value and singular vector and subtract the corresponding component from tensor, then repeat the process. In this article, we focus on designing one effective algorithm and giving its convergence analysis. We introduce an exceedingly simple and fast algorithm for rank-one approximation of symmetric tensor decomposition. Throughout variable splitting, we solve symmetric tensor decomposition problem by minimizing a multiconvex optimization problem. We use alternating gradient descent algorithm to solve. Although we focus on symmetric tensors in this article, the method can be extended to nonsymmetric tensors in some cases. Additionally, we also give some theoretical analysis about our alternating gradient descent algorithm. We prove that alternating gradient descent algorithm converges linearly to global minimizer. We also provide numerical results to show the effectiveness of the algorithm.     

Column sufficient tensors and tensor complementarity problems

Stimulated by the study of sufficient matrices in linear complementarity problems, we study column sufficient tensors and tensor complementarity problems. Column sufficient tensors constitute a wide range of tensors that include positive semi-definite tensors as special cases. The inheritance property and invariant property of column sufficient tensors are presented. Then, various spectral properties of symmetric column sufficient tensors are given. It is proved that all H-eigenvalues of an even-order symmetric column sufficient tensor are nonnegative, and all its Z-eigenvalues are nonnegative even in the odd order case. After that, a new subclass of column sufficient tensors and the handicap of tensors are defined. We prove that a tensor belongs to the subclass if and only if its handicap is a finite number. Moreover, several optimization models that are equivalent with the handicap of tensors are presented. Finally, as an application of column sufficient tensors, several results on tensor complementarity problems are established.     

Best rank one approximation of real symmetric tensors can be chosen symmetric

We show that a best rank one approximation to a real symmetric tensor, which in principle can be nonsymmetric, can be chosen symmetric. Furthermore, a symmetric best rank one approximation to a symmetric tensor is unique if the tensor does not lie on a certain real algebraic variety.     

Tensor logarithmic norm and its applications

Matrix logarithmic norm is an important quantity, which characterize the stability of linear dynamical systems. We propose the logarithmic norms for tensors and tensor pairs, and extend some classical results from the matrix case. Moreover, the explicit forms of several tensor logarithmic norms and semi‐norms are also derived. Employing the tensor logarithmic norms, we bound the real parts of all the eigenvalues of a complex tensor and study the stability of a class of nonlinear dynamical systems. Copyright © 2016 John Wiley & Sons, Ltd.     

线性双空间张量方程ΦijA^iXB^j=C

本文在对系数张量的特征值不作任何限制的条件下，得到了一类线性双空间张量方程的显式解．这类方程包含了许多经常遇到的方程作为其特例．     

Small ball probabilities for smooth Gaussian fields and tensor products of compact operators

We find the logarithmic L₂‐small ball asymptotics for a class of zero mean Gaussian fields with covariances having the structure of “tensor product”. The main condition imposed on marginal covariances is slow growth at the origin of counting functions of their eigenvalues. That is valid for Gaussian functions with smooth covariances. Another type of marginal functions considered as well are classical Wiener process, Brownian bridge, Ornstein–Uhlenbeck process, etc., in the case of special self‐similar measure of integration. Our results are based on a new theorem on spectral asymptotics for the tensor products of compact self‐adjoint operators in Hilbert space which is of independent interest. Thus, we continue to develop the approach proposed in the paper 6 , where the regular behavior at infinity of marginal eigenvalues was assumed.     

Prescribing Curvature Problems on the Bakry-Emery Ricci Tensor of a Compact Manifold with Boundary

t The authors consider the problem of conformally deforming a metric such that the k-curvature defined by an elementary symmetric function of the eigenvalues of the Bakry-Emery Ricci tensor on a compact manifold with boundary to a prescribed function. A consequence of our main result is that there exists a complete metric such that the Monge-Amp~re type equation with respect to its Bakry-Emery Ricci tensor is solvable, provided that the initial Bakry-Emery Ricci tensor belongs to a negative convex cone.     

On eigenvalue problems of real symmetric tensors

We use variational methods to give a positive answer to a conjecture posed by Liqun Qi [L. Qi, Eigenvalues of a real supersymmetric tensor, J. Symbolic Comput. 40 (2005) 1302-1324] regarding the real eigenvalues of certain higher order tensors.     

形变张量的特征值与Boussinesq方程组的正则性估计

讨论了二维及三维满足周期边界条件的Boussinesq方程初边值问题的局部正则解在有限时间内爆破的可能性.在二维情况下,用形变张量的特征值给出温度梯度的L2估计,从中看出若流体微团变形的速率大,则解爆破的可能性就大.在三维情况下,用形变张量的特征值和温度的偏导给出涡量的L2估计,从中发现若流体微团在大部分时间内一般是平面拉伸,且温度的偏导较小时,解爆破的可能性就大;若一般是线性拉伸,温度的偏导又不任意增大时,解爆破的可能性就小.