On weighted spectral radius of unraveled balls and normalized Laplacian eigenvalues

For a graph G, the unraveled ball of radius r centered at a vertex v is the ball of radius r centered at v in the universal cover of G. We obtain a lower bound on the weighted spectral radius of unraveled balls of fixed radius in a graph with positive weights on edges, which is used to present an upper bound on the $s^{\text{th}}$ (where $s\ge 2$) smallest normalized Laplacian eigenvalue of irregular graphs under minor assumptions. Moreover, when $s=2$, the result may be regarded as an Alon–Boppana type bound for a class of irregular graphs.     

Eigenvalues of Robin Laplacians in infinite sectors

For , let denote the infinite planar sector of opening 2α, and be the Laplacian in , , with the Robin boundary condition , where stands for the outer normal derivative and . The essential spectrum of does not depend on the angle α and equals , and the discrete spectrum is non‐empty if and only if . In this case we show that the discrete spectrum is always finite and that each individual eigenvalue is a continous strictly increasing function of the angle α. In particular, there is just one discrete eigenvalue for . As α approaches 0, the number of discrete eigenvalues becomes arbitrary large and is minorated by with a suitable , and the nth eigenvalue of behaves as and admits a full asymptotic expansion in powers of α². The eigenfunctions are exponentially localized near the origin. The results are also applied to δ‐interactions on star graphs.     

基于Lanczos算法的模态重分析法及其在车身结构设计中的应用

模态重分析是指在结构修改之后不需要重新求解广义特征值方程,仅需要根据初始计算结果对修改后的问题进行求解,并能够在保证精度的前提下,提高计算速度。随着结构复杂度和修正量的增加,传统重分析方法的求解精度和稳定性随之下降。为此,利用初始结构模态分析结果,结合Lanczos算法和投影技术,采用缩减基方法求解修改结构的特征值和特征向量,使其同时具备了Lanczos向量快速收敛的优点和基于全局近似的缩减基向量的高精度。为了验证该方法的性能和准确性,对本文方法基于扩展基向量和瑞利-里兹分析的模态重分析法以及改进的单步摄动瑞利商逆迭代法进行了测试。测试结果表明,该方法具有最高的计算精度。同时,将该方法成功用于车架和车门的前期设计中,计算结果表明,该方法具备处理计算规模大、拓扑修改变化量大的结构分析问题的潜力。     

平板几何迁移算子的特征值问题

研究L^p(1相似文献   

正则化HSS预处理鞍点矩阵的特征值估计

最近，Bai和Benzi针对鞍点问题提出了一类正则化HSS（Regularized Hermitian and skew-Hermitian splitting，RHSS）预处理子（BIT Numer.Math.，57（2017）287-311）.为了进一步分析RHSS预处理子的效果，本文重点研究了RHSS预处理鞍点矩阵特征值的估计，分析了复特征值实部和模的上下界、实特征值的上下界，还给出了特征值均为实数的充分条件.当正则化矩阵取为零矩阵时，RHSS预处理子退化为HSS预处理子，分析表明本文给出的复特征值实部的界比已有的结果更精确.数值算例验证了本文给出的理论结果.     

Eigenvalues of a Differential Operator and Zeros of the Riemann $\zeta$-Function

The eigenvalues of a differential operator on a Hilbert-Pόlya space are determined. It is shown that these eigenvalues are exactly the nontrivial zeros of the Riemann $\zeta$-function. Moreover, their corresponding multiplicities are the same.     

河南麦区收割对大气颗粒物及其组分特征排放的影响

农业收割期间排放的颗粒物是农忙期影响大气气溶胶组成的主要来源,因此明确农业收割期间排放的大气颗粒物排放特征具有重要意义。本实验立足河南省新乡市集约化农田实验基地,开展冬小麦区农业收割期间的大气颗粒物及其组分排放特征实验。结果表明收割期间的PMcoarse比其它时期高8.20%,农业站点收割时期的PMcoarse比其它时期高了72.22%,明确了其颗粒物污染特征为仅PM₁₀升高,而非PM₁₀和PM_2.5同时升高,同时PM₁₀的升高非PM_2.5升高引起的;含量最高的前5种元素是Al、Ca、Fe、K、Mg;收割期间,Fe的特征比值最高为0.79;Ca₂₊^和K₊^{离子百分含量在}PMcoarse中占比最高;特征值为0.81和0.78。综合水溶性离子和元素结果,Ca₂₊^、K₊^、Fe浓度协同变化可作为小麦收割过程颗粒物对大气污染影响的指纹识别,以区别于其他污染类型;便于大气污染防治行政主管部门有针对性的查污、防污、治污,提高人民群众生活环境的空气质量。     

椭圆PDE-约束优化问题的一个预条件子

针对由Galerkin有限元离散椭圆PDE-约束优化问题产生的具有特殊结构的3×3块线性鞍点系统,提出了一个预条件子并给出了预处理矩阵特征值及特征向量的具体表达形式.数值结果表明了该预条件子能够有效地加速Krylov子空间方法的收敛速率,同时也验证了理论结果.     

On the first eigenvalue of the mean finsler-laplacian

In this paper, we prove that several different definitions of the Finsler-Laplacian are equivalent. Then we prove that any Berwald metric is affinely equivalent to its mean metric and give some upper or lower bound estimates for the first eigenvalue of the mean Laplacian on Berwald manifolds, which generalize some results in Riemannian geometry.