A reduction algorithm for reconstructing periodic Jacobi matrices in Minkowski spaces

作者:

Highlights:

摘要

The periodic Jacobi inverse eigenvalue problem concerns the reconstruction of a periodic Jacobi matrix from prescribed spectral data. In Minkowski spaces, with a given signature operator H=diag(1,1,…,1,−1), the corresponding matrix is a periodic pseudo-Jacobi matrix. The inverse eigenvalue problem for such matrices consists in the reconstruction of pseudo-Jacobi matrices, with the same order and signature operator H. In this paper we solve this problem by applying Sylvester’s identity and Householder transformation. The solution number and the corresponding reconstruction algorithm are here exhibited, and illustrative numerical examples are given. Comparing this approach with the known Lanczos algorithm for reconstructing pseudo-Jacobi matrices, our method is shown to be more stable and effective.

论文关键词:Inverse eigenvalue problem,Pseudo-Jacobi matrix,Periodic pseudo-Jacobi matrix,Sylvester’s identity,Householder transformation,Lanczos algorithm

论文评审过程:Received 27 March 2021, Accepted 2 December 2021, Available online 21 December 2021, Version of Record 21 December 2021.

论文官网地址:https://doi.org/10.1016/j.amc.2021.126853