Article ID Journal Published Year Pages File Type
4598684 Linear Algebra and its Applications 2016 31 Pages PDF
Abstract

We study the eigenscheme of a matrix which encodes information about the eigenvectors and generalized eigenvectors of a square matrix. The two main results in this paper are a decomposition of the eigenscheme of a matrix into primary components and the fact that this decomposition encodes the numeric data of the Jordan canonical form of the matrix. We also describe how the eigenscheme can be interpreted as the zero locus of a global section of the tangent bundle on projective space. This interpretation allows one to see eigenvectors and generalized eigenvectors of matrices from an alternative viewpoint.

Related Topics
Physical Sciences and Engineering Mathematics Algebra and Number Theory
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