The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.
2019
DOI: 10.3390/math7100893
|View full text |Cite
|
Sign up to set email alerts
|

A Study of Determinants and Inverses for Periodic Tridiagonal Toeplitz Matrices with Perturbed Corners Involving Mersenne Numbers

Abstract: In this paper, we study periodic tridiagonal Toeplitz matrices with perturbed corners. By using some matrix transformations, the Schur complement and matrix decompositions techniques, as well as the Sherman-Morrison-Woodbury formula, we derive explicit determinants and inverses of these matrices. One feature of these formulas is the connection with the famous Mersenne numbers. We also propose two algorithms to illustrate our formulas.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
4
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 9 publications
(4 citation statements)
references
References 43 publications
(46 reference statements)
0
4
0
Order By: Relevance
“…On the other hand, the importance of determinants, inverses, norms and spread in special matrix analysis, several authors [4,6,10,11,13,17,20,23,[28][29][30][31][32] have done some research on these special matrices. Recently, Jiang and Hong [12] studied the explicit form of determinants and inverses of Tribonacci r-circulant type matrices, while Zheng and Shon [36] gave the exact determinants and inverses of generalized Lucas skew circulant type matrices.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, the importance of determinants, inverses, norms and spread in special matrix analysis, several authors [4,6,10,11,13,17,20,23,[28][29][30][31][32] have done some research on these special matrices. Recently, Jiang and Hong [12] studied the explicit form of determinants and inverses of Tribonacci r-circulant type matrices, while Zheng and Shon [36] gave the exact determinants and inverses of generalized Lucas skew circulant type matrices.…”
Section: Introductionmentioning
confidence: 99%
“…The symmetric tridiagonal matrices often arise as primary data in many computational quantum physical [1,2], mathematical [3][4][5], dynamical [6,7], computational quantum chemical [8,9], signal processing [10], or even medical [11] problems and hence are important. The current software reduces the generalized and the standard symmetric eigenproblems to a symmetric tridiagonal eigenproblem as a common practice [10,12,13].…”
Section: Introductionmentioning
confidence: 99%
“…RT method needs eigenvalues of a tridiagonal matrix to represent the potential formula. At present, there have been many results on tridiagonal matrices [45][46][47][48][49][50][51] , which are also widely used. It can be said that it is a powerful tool to solve the resistor network [33][34][35][36][37][38][39][40][41][42][43] .…”
mentioning
confidence: 99%