Eigenvector and Eigenvalue - Aster Analytics

Teradata Aster Analytics Foundation User Guide

Product
Aster Analytics
Release Number
6.21
Published
November 2016
Language
English (United States)
Last Update
2018-04-14
dita:mapPath
kiu1466024880662.ditamap
dita:ditavalPath
AA-notempfilter_pdf_output.ditaval
dita:id
B700-1021
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.