Abstract
In the present paper, we mainly consider the direct solution of periodic pentadiagonal Toeplitz linear systems. By exploiting the low-rank and Toeplitz structure of the coefficient matrix, we derive a new matrix decomposition of periodic pentadiagonal Toeplitz matrices. Based on this matrix decomposition form and combined with the Sherman-Morrison-Woodbury formula, we propose an efficient algorithm for numerically solving periodic pentadiagonal Toeplitz linear systems. Furthermore, we present a fast and reliable algorithm for evaluating the determinants of periodic pentadiagonal Toeplitz matrices by a certain type of matrix reordering and partitioning, and linear transformation. Numerical examples are given to demonstrate the performance and effectiveness of our algorithms. All of the experiments are performed on a computer with the aid of programs written in Matlab.
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The authors would like to thank the anonymous referees for their valuable comments and suggestions that substantially enhanced the quality of the manuscript.
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Ji-Teng Jia: Conceived, designed and performed the analysis, and wrote the manuscript.
Yi-Fan Wang: Performed the numerical experiments and prepared the manuscript.
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Jia, JT., Wang, YF. A novel numerical algorithm for solving linear systems with periodic pentadiagonal Toeplitz coefficient matrices. Comp. Appl. Math. 43, 232 (2024). https://doi.org/10.1007/s40314-024-02754-y
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DOI: https://doi.org/10.1007/s40314-024-02754-y