Difference between revisions of "Eigenvectors and Eigenvalues"
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An '''eigenvector''' of a square [[matrix]] <math>A</math> is a vector <math>\boldsymbol{x}\in\mathbb{R}</math> such that, | An '''eigenvector''' of a square [[matrix]] <math>A</math> is a vector <math>\boldsymbol{x}\in\mathbb{R}</math> such that, | ||
Revision as of 04:06, January 20, 2010
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 eigenvector of a square matrix is a vector such that,
where is complex number, known as a eigenvalue. The eigenvalue is the zero of a matrix's charateristic polynomial.
All the eigenvectors of a particular eigenvalue span a vector space called the eigenspace.