某些toeplitz相关参数三角矩阵的最小奇异值

IF 0.8 Q2 MATHEMATICS
M. S. Solary, A. Kovacec, S. Capizzano
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引用次数: 0

摘要

设L为第一列为(µ,a1, a2,…)的无限下三角Toeplitz矩阵。, ap, a1,…, ap,…)T,设D为无限对角矩阵,其元素为1,2,3,…设A = L + D为这两个矩阵的和。b nger和Rump证明了如果p = 2,且参数μ, a1, a2之间存在一定的线性不等式,则A的任意有限左上方子阵的奇异值可以用一个只依赖于这些参数而不依赖于矩阵大小的表达式从下有界。通过扩展他们的部分推理,我们表明,对于任意p和µ,a1,…的更大范围的值,应该期望类似的行为。它取决于由线性递归定义的某些序列的12 -范数在μ中的渐近性,这些参数进入其中。我们还考虑了数值分析结果的相关性,并给出了一些选定的数值实验,以表明我们的边界在实际计算中是准确的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The smallest singular value of certain Toeplitz-related parametric triangular matrices
Abstract Let L be the infinite lower triangular Toeplitz matrix with first column (µ, a1, a2, ..., ap, a1, ..., ap, ...)T and let D be the infinite diagonal matrix whose entries are 1, 2, 3, . . . Let A := L + D be the sum of these two matrices. Bünger and Rump have shown that if p = 2 and certain linear inequalities between the parameters µ, a1, a2, are satisfied, then the singular values of any finite left upper square submatrix of A can be bounded from below by an expression depending only on those parameters, but not on the matrix size. By extending parts of their reasoning, we show that a similar behaviour should be expected for arbitrary p and a much larger range of values for µ, a1, ..., ap. It depends on the asymptotics in µ of the l2-norm of certain sequences defined by linear recurrences, in which these parameters enter. We also consider the relevance of the results in a numerical analysis setting and moreover a few selected numerical experiments are presented in order to show that our bounds are accurate in practical computations.
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来源期刊
Special Matrices
Special Matrices MATHEMATICS-
CiteScore
1.10
自引率
20.00%
发文量
14
审稿时长
8 weeks
期刊介绍: Special Matrices publishes original articles of wide significance and originality in all areas of research involving structured matrices present in various branches of pure and applied mathematics and their noteworthy applications in physics, engineering, and other sciences. Special Matrices provides a hub for all researchers working across structured matrices to present their discoveries, and to be a forum for the discussion of the important issues in this vibrant area of matrix theory. Special Matrices brings together in one place major contributions to structured matrices and their applications. All the manuscripts are considered by originality, scientific importance and interest to a general mathematical audience. The journal also provides secure archiving by De Gruyter and the independent archiving service Portico.
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