Analytic determinants and inverses of Toeplitz and Hankel tridiagonal matrices with perturbed columns

IF 0.8 Q2 MATHEMATICS
Yaru Fu, Xiaoyu Jiang, Zhaolin Jiang, S. Jhang
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引用次数: 5

Abstract

Abstract In this paper, our main attention is paid to calculate the determinants and inverses of two types Toeplitz and Hankel tridiagonal matrices with perturbed columns. Specifically, the determinants of the n × n Toeplitz tridiagonal matrices with perturbed columns (type I, II) can be expressed by using the famous Fibonacci numbers, the inverses of Toeplitz tridiagonal matrices with perturbed columns can also be expressed by using the well-known Lucas numbers and four entries in matrix 𝔸. And the determinants of the n×n Hankel tridiagonal matrices with perturbed columns (type I, II) are (−1]) (-1)n(n-1)2 {\left( { - 1} \right)^{{{n\left( {n - 1} \right)} \over 2}}} times of the determinant of the Toeplitz tridiagonal matrix with perturbed columns type I, the entries of the inverses of the Hankel tridiagonal matrices with perturbed columns (type I, II) are the same as that of the inverse of Toeplitz tridiagonal matrix with perturbed columns type I, except the position. In addition, we present some algorithms based on the main theoretical results. Comparison of our new algorithms and some recent works is given. The numerical result confirms our new theoretical results. And we show the superiority of our method by comparing the CPU time of some existing algorithms studied recently.
具有扰动列的Toeplitz和Hankel三对角矩阵的解析行列式和逆
摘要本文主要研究了两类具有摄动列的Toeplitz和Hankel三对角矩阵的行列式和逆矩阵的计算。具体来说,n × n列摄动的Toeplitz三对角矩阵(I, II型)的行列式可以用著名的Fibonacci数表示,列摄动的Toeplitz三对角矩阵的逆也可以用著名的Lucas数和矩阵的四个分量来表示。和n×n汉克尔三对角矩阵的行列式与摄动列(I, II型)(−1)(1)n (n - 1) 2{\离开({- 1}\右)^ {{{n \离开({n - 1} \右)}\ / 2}}}*托普利兹三对角矩阵的行列式的摄动列类型,条目的汉克尔三对角矩阵的逆摄动列(I, II型)一样托普利兹三对角矩阵的逆摄动列类型,除了位置。此外,我们还在主要理论结果的基础上提出了一些算法。并将我们的新算法与最近的一些研究成果进行了比较。数值结果证实了我们新的理论结果。通过比较目前研究的几种算法的CPU时间,证明了该方法的优越性。
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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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