7.00.02 - Eigenvector and Eigenvalue - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Aster Analytics
Release Number
Release Date
September 2017
Content Type
Programming Reference
User Guide
Publication ID
English (United States)

An eigenvector of a square matrix Α is a nonzero vector υ such that Αυ=λυ. The number λ is called the eigenvalue of Α corresponding to υ.

The eigenvalues of a matrix Α can be determined by finding the roots of the characteristic polynomial of equation det(ΑλI) = 0.