Eigenvector and Eigenvalue - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
8.10
1.1
Published
October 2019
Language
English (United States)
Last Update
2019-12-31
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B700-4003
lifecycle
previous
Product Category
Teradata Vantage™

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.