Abstract
Matrix theory and its applications make wide use of the eigenprojections of square matrices. The paper demonstrated that the eigenprojection of a matrix A can be calculated with the use of any annihilating polynomial for A u, where u ≥ ind A. This enables one to establish the components and the minimum polynomial of A, as well as the Drazin inverse A D.
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Agaev, R.P., Chebotarev, P.Y. On Determining the Eigenprojection and Components of a Matrix. Automation and Remote Control 63, 1537–1545 (2002). https://doi.org/10.1023/A:1020488410896
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DOI: https://doi.org/10.1023/A:1020488410896