对称矩阵特征值的Kato-Temple不等式在奇异值移位数值算法中的应用

K. Kimura, M. Takata, M. Iwasaki, Y. Nakamura
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引用次数: 2

摘要

对称矩阵特征值的加藤-坦普尔不等式给出了最小特征值lambda的下界。设A是一个对称正定三对角矩阵,定义为A = BT B,其中B是双对角矩阵。然后,所谓的加托-坦普界给出了B的最小奇异值西格玛的下界。本文讨论了如何将加托-坦普不等式应用于mdlv算法中出现的原点移位,例如,计算B的所有奇异值。为了利用加托-坦普不等式,矩阵a = BT B的一个瑞利商和λ =西格玛2所在区间的一个右端点是必要的。然后证明了选择广义牛顿界或加藤-坦普尔界可以缩短具有标准位移的mdlv的执行时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of the Kato-Temple Inequality for Eigenvalues of Symmetric Matrices to Numerical Algorithms with Shift for Singular Values
The Kato-Temple inequality for eigenvalues of symmetric matrices gives a lower bound of the minimal eigenvalue lambdam. Let A be a symmetric positive definite tridiagonal matrix defined by A = BT B, where B is bidiagonal. Then the so-called Kato-Temple bound gives a lower bound of the minimal singular value sigmam of B. In this paper we discuss how to apply the Kato-Temple inequality to shift of origin which appears in the mdLVs algorithm, for example, for computing all singular values of B. To make use of the Kato-Temple inequality a Rayleigh quotient for the matrix A = BT B and a right endpoint of interval where lambdam = sigmam 2 belongs are necessary. Then it is shown that the execution time of mdLVs with the standard shifts can be shorten by a possible choice of the generalized Newton bound or the Kato-Temple bound.
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