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<record version="8" id="3703">
 <title>spectral radius</title>
 <name>SpectralRadius</name>
 <created>2002-12-09 15:28:34</created>
 <modified>2007-08-25 10:09:10</modified>
 <type>Definition</type>
 <creator id="127" name="Koro"/>
 <author id="127" name="Koro"/>
 <classification>
	<category scheme="msc" code="58C40"/>
 </classification>
 <defines>
	<concept>spectrum</concept>
 </defines>
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 <content>If $V$ is a vector space over $\mathbb{C}$, the spectrum of a linear mapping $T:V\rightarrow V$ is the set
\[\sigma(T) = 
\{\lambda\in \mathbb{C}: T-\lambda I \mbox{is not invertible}\},\]
where $I$ denotes the identity mapping. 
If $V$ is finite dimensional, the spectrum of $T$ is precisely the set of its eigenvalues. For infinite dimensional spaces this is not generally true,
although it is true that each eigenvalue of $T$ belongs to $\sigma(T)$. The \emph{spectral radius} of $T$ is 
\[\rho(T) = \sup \{|\lambda|:\lambda\in\sigma(T)\}.\]

More generally, the spectrum and spectral radius can be defined for Banach algebras with identity element: If $\mathcal{A}$ is a Banach algebra over $\mathbb{C}$ with identity element $e$, the spectrum of an element $a \in \mathcal{A}$ is the set
 $$\sigma(a) = \{ \lambda \in \mathbb{C} : a - \lambda e \mbox{is not invertible in} \mathcal{A} \}$$

The spectral radius of $a$ is $\rho(a) = \sup \{| \lambda | : \lambda \in \sigma(a) \}$.
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