Difference between revisions of "Eigenvalue"

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{{merge|eigenvector}}
 
{{merge|eigenvector}}
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{{jargon}}
 
An '''eigenvalue''' of a square [[matrix]] <math>A</math> is a [[complex number]] <math>\lambda</math> such that
 
An '''eigenvalue''' of a square [[matrix]] <math>A</math> is a [[complex number]] <math>\lambda</math> such that
  

Revision as of 04:07, January 20, 2010

It has been suggested that this article or section be merged with [[::eigenvector|eigenvector]]. (Discuss)

This article or section needs to be written in plain English, using plain English that most of our readers can understand. Articles that depend excessively on technical terms accessible only to specialists are useless for our purposes, so writers are admonished to avoid jargon
An eigenvalue of a square matrix is a complex number such that

for some non-zero vector known as a eigenvector. The eigenvalue is the zero of a matrix's charateristic polynomial.

The span of all the eigenvectors corresponding to a fixed eigenvalue is called the eigenspace of .