1.1 - 8.10 - Eigenvector and Eigenvalue - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.1
8.10
Release Date
October 2019
Content Type
Programming Reference
Publication ID
B700-4003-079K
Language
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.