New approach to finding eigenvectors for repeated eigenvalues of a matrix

Authors

  • Anatolii Petrenko Educational and Research Institute for Applied System Analysis of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine https://orcid.org/0000-0001-6712-7792

DOI:

https://doi.org/10.20535/SRIT.2308-8893.2024.4.09

Keywords:

eigenvectors, multiples of eigenvalues, algebraic and geometric multiplicity, solutions of degenerate systems, change of spectrum of a matrix, defective and non-defective multiples of a matrix

Abstract

An efficient method of calculating eigenvectors for multiple eigenvalues of a matrix is proposed. This method is based on a formalized transformation of the problem of solving degenerate systems of equations into a regular problem by “repairing” their matrices and correspondingly correcting the right-hand sides of the equations, as well as “exclusion” during calculations from the spectrum eigenvalues of the matrix of one of the multiple values. In the case of non-defective multiples of the matrix, orthogonal eigenvectors are formed in contrast to the results obtained using the Mathematica program.

Author Biography

Anatolii Petrenko, Educational and Research Institute for Applied System Analysis of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv

Doctor of Technical Sciences, a professor at the Department of System Design of Educational and Research Institute for Applied System Analysis of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine.

References

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Published

2024-12-25

Issue

Section

New methods in system analysis, computer science and theory of decision making