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Eigenvectors and Eigenvalues
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Revision as of 19:43, April 25, 2010
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19:43, April 25, 2010
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{{Jargon}}
{{Jargon}}
−
An '''eigenvector''' of
a
square [[matrix]] <math>A</math> is a vector <math>\boldsymbol{x}\in\mathbb{
R
}</math> such that,
+
'''Eigenvectors''' represent directions that are preserved by linear transformations of a [[vector space]].
+
+
An '''eigenvector''' of
an ''n x n''
square [[matrix]] <math>A</math> is a vector <math>\boldsymbol{x}\in\mathbb{
C
}
^n
</math> such that,
:<math>A\boldsymbol{x}=\lambda\boldsymbol{x}</math>
:<math>A\boldsymbol{x}=\lambda\boldsymbol{x}</math>
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