Eigenvalues and Eigenvectors for 3×3 Symmetric Matrices: An Analytical Approach

Abu Bakar Siddique

Department of Mechanical Engineering, University of New Mexico, USA.

Tariq A. Khraishi *

Department of Mechanical Engineering, University of New Mexico, USA.

*Author to whom correspondence should be addressed.


Abstract

Research problems are often modeled using sets of linear equations and presented as matrix equations. Eigenvalues and eigenvectors of those coupling matrices provide vital information about the dynamics/flow of the problems and so needs to be calculated accurately. Analytical solutions are advantageous over numerical solutions because numerical solutions are approximate in nature, whereas analytical solutions are exact. In many engineering problems, the dimension of the problem matrix is 3 and the matrix is symmetric. In this paper, the theory behind finding eigenvalues and eigenvectors for order 3×3 symmetric matrices is presented. This is followed by the development of analytical solutions for the eigenvalues and eigenvectors, depending on patterns of the sparsity of the matrix. The developed solutions are tested against some examples with numerical solutions.

Keywords: Eigenvalues, eigenvectors, linear algebra, analytical solutions.


How to Cite

Siddique, Abu Bakar, and Tariq A. Khraishi. 2020. “Eigenvalues and Eigenvectors for 3×3 Symmetric Matrices: An Analytical Approach”. Journal of Advances in Mathematics and Computer Science 35 (7):106-18. https://doi.org/10.9734/jamcs/2020/v35i730308.

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