共查询到19条相似文献,搜索用时 78 毫秒
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《数学的实践与认识》2020,(9)
利用Mironenko的反射函数理论,讨论了n阶线性微分系统的广义反射矩阵并由此得到n阶周期线性系统及与之等价的非线性微分系统的周期解的存在性和稳定性的判定方法. 相似文献
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商朋见 《数学物理学报(A辑)》1994,(4)
本文建立了平面波ε-ikx(波数k>0)通过势v(x)=vnδ(x-xn),N→∞时透射振幅和反射振幅的速推公式;给出系统为绝缘体的充要条件;最后,作为应用,对一类线性递归链,研究了系统的导通性及绝缘性. 相似文献
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设 R∈Cm×m 及 S∈Cn×n 是非平凡Hermitian酉矩阵, 即 RH=R=R-1≠±Im ,SH=S=S-1≠±In.若矩阵 A∈Cm×n 满足 RAS=A, 则称矩阵 A 为广义反射矩阵.该文考虑线性流形上的广义反射矩阵反问题及相应的最佳逼近问题.给出了反问题解的一般表示, 得到了线性流形上矩阵方程AX2=Z2, Y2H A=W2H 具有广义反射矩阵解的充分必要条件, 导出了最佳逼近问题唯一解的显式表示. 相似文献
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研究了Domain理论中的事件结构及其对应的domain结构,证明了事件结构生成的L-事件domain恰好是具有性质I的代数L-domain。特别地,本文通过稳定事件生成的事件domain,证明了以线性映射为态射、以DI-domain为对象的范畴是以稳定映射为态射、以具有性质I的代数L-domain为对象的范畴的反射子范畴。 相似文献
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广义反射函数的性态与应用 总被引:1,自引:0,他引:1
孙长军 《数学的实践与认识》2010,40(10)
推广了Mironenko的反射函数的概念,给出了广义反射函数的概念并讨论了广义反射函数的性质,应用它研究了微分系统周期解的存在性和稳定性态.作为应用举例,研究了Riccati方程的反射函数. 相似文献
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Zhengxin Zhou 《Journal of Computational and Applied Mathematics》2009,232(2):600-611
This article deals with the reflective function of differential systems. The obtained results are applied to studying the existence and stability of the periodic solutions of some linear and nonlinear periodic differential systems. 相似文献
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Zhengxin Zhou 《Applied mathematics and computation》2011,217(21):8716-8721
In this article, we have established a relationship between a quadratic polynomial differential system and a Bernoulli equation by using the method of reflective function. And applied the results to discuss the qualitative behavior of solutions of this quadratic polynomial differential system. 相似文献
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三阶线性常微分方程在天文学和流体力学等学科的研究中有着广泛的应用.本文介绍求解三阶线性常微分方程由Sinc方法离散所得到的线性方程组的结构预处理方法.首先, 我们利用Sinc方法对三阶线性常微分方程进行离散,证明了离散解以指数阶收敛到原问题的精确解.针对离散后线性方程组的系数矩阵的特殊结构, 提出了结构化的带状预处理子,并证明了预处理矩阵的特征值位于复平面上的一个矩形区域之内.然后, 我们引入新的变量将三阶线性常微分方程等价地转化为由两个二阶线性常微分方程构成的常微分方程组, 并利用Sinc方法对降阶后的常微分方程组进行离散.离散后线性方程组的系数矩阵是分块2×2的, 且每一块都是Toeplitz矩阵与对角矩阵的组合.为了利用Krylov子空间方法有效地求解离散后的线性方程组,我们给出了块对角预处理子, 并分析了预处理矩阵的性质.最后, 我们对降阶后二阶线性常微分方程组进行了一些比较研究.数值结果证实了Sinc方法能够有效地求解三阶线性常微分方程. 相似文献
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Pham Huu Anh Ngoc Toshiki Naito 《Journal of Mathematical Analysis and Applications》2007,328(1):170-191
In this paper, we present a unifying approach to the problems of computing of stability radii of positive linear systems. First, we study stability radii of linear time-invariant parameter-varying differential systems. A formula for the complex stability radius under multi perturbations is given. Then, under hypotheses of positivity of the system matrices, we prove that the complex, real and positive stability radii of the system under multi perturbations (or affine perturbations) coincide and they are computed via simple formulae. As applications, we consider problems of computing of (strong) stability radii of linear time-invariant time-delay differential systems and computing of stability radii of positive linear functional differential equations under multi perturbations and affine perturbations. We show that for a class of positive linear time-delay differential systems, the stability radii of the system under multi perturbations (or affine perturbations) are equal to the strong stability radii. Next, we prove that the stability radii of a positive linear functional differential equation under multi perturbations (or affine perturbations) are equal to those of the associated linear time-invariant parameter-varying differential system. In particular, we get back some explicit formulas for these stability radii which are given recently in [P.H.A. Ngoc, Strong stability radii of positive linear time-delay systems, Internat. J. Robust Nonlinear Control 15 (2005) 459-472; P.H.A. Ngoc, N.K. Son, Stability radii of positive linear functional differential equations under multi perturbations, SIAM J. Control Optim. 43 (2005) 2278-2295]. Finally, we give two examples to illustrate the obtained results. 相似文献
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P. Rapisarda H.L. Trentelman 《Mathematical and Computer Modelling of Dynamical Systems: Methods, Tools and Applications in Engineering and Related Sciences》2013,19(4):457-473
We use the formalism of bilinear- and quadratic differential forms in order to study Hamiltonian and variational linear distributed systems. It was shown in [1] that a system described by ordinary linear constant-coefficient differential equations is Hamiltonian if and only if it is variational. In this paper we extend this result to systems described by linear, constant-coefficient partial differential equations. It is shown that any variational system is Hamiltonian, and that any scalar Hamiltonian system is contained (in general, properly) in a particular variational system. 相似文献