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<record version="2" id="7036">
 <title>multiplicity of eigenvalue</title>
 <name>MultiplicityOfEigenvalue</name>
 <created>2005-05-10 15:02:11</created>
 <modified>2007-07-08 12:30:56</modified>
 <type>Definition</type>
<parent id="1496">eigenvalue</parent>
 <creator id="1858" name="matte"/>
 <author id="3771" name="CWoo"/>
 <author id="1858" name="matte"/>
 <classification>
	<category scheme="msc" code="15A18"/>
 </classification>
 <defines>
	<concept>geometric multiplicity</concept>
	<concept>algebraic multiplicity</concept>
 </defines>
 <keywords>
	<term>eigenvalue</term>
 </keywords>
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 <content>Suppose $V$ is a finite dimensional vector space over a field $\F$,
 and suppose $L\colon V\to V$ is a linear map. 
Suppose also that $\lambda\in \F$ is an
eigenvalue of $L$, that is, $\operatorname{det}( L - \lambda I)=0$.

The  \emph{algebrai{c} multiplicit{y}}, 
  denoted by $A_\lambda(L)$, of $\lambda$
    is the multiplicity of the root $\lambda$ to the polynomial
   $\operatorname{det}( L - \lambda I)=0$.
The \emph{geometric multiplicity} of $\lambda$, denoted by 
    $G_\lambda(L)$, is the
   dimension of $\ker ( L - \lambda I)$, the eigenspace of $\lambda$.</content>
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