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Sufficient regularity conditions for complex interval matrices and approximations of eigenvalues sets

机译:复杂间隔矩阵的足够规律条件和特征值的近似

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In this paper, two approaches are described to establish verifiable sufficient regularity conditions of complex interval matrices. In the first approach, a complex interval matrix is mapped to a real block interval matrix and then its sufficient regularity conditions are obtained. In the second approach, a necessary condition for the singularity of a complex interval matrix is derived and used to get its sufficient regularity conditions. As an application, the above derived sufficient regularity conditions are used to investigate the location of the outer approximations of individual eigenvalue sets of complex interval matrices. Two algorithms are proposed and results obtained are compared with those obtained by earlier methods and Monte Carlo simulations. The advantages of these algorithms are that they can detect gaps in between the approximations of the whole eigenvalue sets. The second algorithm is very effective compared to the first algorithm from the computational time point of view. Several numerical examples and statistical experiments are worked out to validate and demonstrate the efficacy of our work. (C) 2017 Elsevier Inc. All rights reserved.
机译:在本文中,描述了两种方法来建立复杂间隔矩阵的可验证足够的规则性条件。在第一种方法中,将复杂的间隔矩阵映射到真实块间隔矩阵,然后获得其足够的规则性条件。在第二种方法中,导出复合间隔矩阵的奇异性的必要条件,并用于获得其足够的规则性条件。作为应用,上述衍生足够的规则性条件用于研究个体特征值集的复合间隔矩阵的外近似的位置。提出了两种算法,并将获得的结果与先前方法和蒙特卡罗模拟获得的结果进行比较。这些算法的优点是它们可以检测整个特征值集的近似之间的间隙。与来自计算时间的视点相比,第二算法与第一算法相比非常有效。解决了几个数值例子和统计实验,以验证并证明我们工作的功效。 (c)2017年Elsevier Inc.保留所有权利。

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