Eigenvector and Eigenvalue - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Language
English (United States)
Last Update
2018-04-17
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uce1497542673292.ditamap
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dita:id
B700-1022
lifecycle
previous
Product Category
Software

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.