Fast Generation of Real-Symmetric Matrices and their Exact Eigenpairs
We propose a method to rapidly generate matrices for real-symmetric eigenproblems. The proposed method produces a reproducible matrix with explicit eigenpairs, where the distribution of the eigenvalues can be controlled by a user. All elements of the generated matrix are rigorous floating-point numb...
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Published in | Journal of Advanced Simulation in Science and Engineering Vol. 12; no. 1; pp. 44 - 60 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Japan Society for Simulation Technology
2025
一般社団法人 日本シミュレーション学会 |
Subjects | |
Online Access | Get full text |
ISSN | 2188-5303 2188-5303 |
DOI | 10.15748/jasse.12.44 |
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Summary: | We propose a method to rapidly generate matrices for real-symmetric eigenproblems. The proposed method produces a reproducible matrix with explicit eigenpairs, where the distribution of the eigenvalues can be controlled by a user. All elements of the generated matrix are rigorous floating-point numbers and can be represented in simple expressions involving the exact eigenvalues. The exact eigenpairs of the generated matrix are known in advance; thus, the proposed method contributes to the validation of errors in approximate eigenpairs. Several constraints on the matrix generated by the proposed method, were produced theoretically. |
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ISSN: | 2188-5303 2188-5303 |
DOI: | 10.15748/jasse.12.44 |