Matrix analysis
A Characterization and Representation of the Drazin Inverse
SIAM Journal on Matrix Analysis and Applications
Coordination in multiagent systems and Laplacian spectra of digraphs
Automation and Remote Control
Addendum to the paper "On Determining the Eigenprojection and Components of a Matrix"
Automation and Remote Control
The projection method for reaching consensus and the regularized power limit of a stochastic matrix
Automation and Remote Control
Control of limit states in absorbing resource networks
Automation and Remote Control
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Matrix theory and its applications make wide use of the eigenprojections of square matrices. The paper demonstrated that the eigenprojection of a matrix iA can be calculated with the use of any annihilating polynomial for iAiu, where iu ≥ ind iA. This enables one to establish the components and the minimum polynomial of iA, as well as the Drazin inverse iAiD.