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<record version="9" id="4358">
 <title>normal matrix</title>
 <name>NormalMatrix</name>
 <created>2003-06-13 17:18:11</created>
 <modified>2006-08-02 08:55:19</modified>
 <type>Definition</type>
 <creator id="40" name="Daume"/>
 <author id="40" name="Daume"/>
 <classification>
	<category scheme="msc" code="15A21"/>
 </classification>
 <synonyms>
	<synonym concept="normal matrix" alias="normal"/>
 </synonyms>
 <related>
	<object name="TheoremForNormalTriangularMatrices"/>
 </related>
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A complex matrix $A \in \mathbb{C}^{n\times n}$ is said to be \emph{normal} if $A^\ast A = AA^\ast$ where $^\ast$ denotes the conjugate transpose.\\
Similarly for a real matrix $A \in \mathbb{R}^{n\times n}$ is said to be \emph{normal} if $A^TA=AA^T$ where $T$ denotes the transpose.\\\\
\textbf{properties:}
\begin{itemize}
\item Equivalently a complex matrix $A \in \mathbb{C}^{n\times n}$ is said to be \emph{normal} if it satisfies $[A,A^\ast]=0$ where $[,]$ is the commutator bracket.

\item Equivalently a real matrix $A \in \mathbb{R}^{n\times n}$ is said to be \emph{normal} if it satisfies $[A,A^T]=0$ where $[,]$ is the commutator bracket.

\item Let $A$ be a square complex matrix of order $n$. It follows from Schur's inequality that if $A$ is a normal matrix then $\sum_{i=1}^n |\lambda_i|^2 = \operatorname{trace} A^\ast A$ where $^\ast$ is the conjugate transpose and $\lambda_i$ are the eigenvalues of $A$.

\item   A complex square matrix is diagonal if and only if it is normal,  triangular.(see theorem for normal triangular matrices).
\end{itemize}

\textbf{examples:}
\begin{itemize}
\item $\begin{pmatrix}
a &amp; b \\
-b &amp; a \\\end{pmatrix}$ where $a,b \in \mathbb{R}$
\item $\begin{pmatrix}
1 &amp; i \\
-i &amp; 1 \\\end{pmatrix}$
\end{itemize}

\textbf{see also:}
\begin{itemize}
\item Wikipedia, \PMlinkexternal{normal matrix}{http://www.wikipedia.org/wiki/Normal_matrix}
\end{itemize}</content>
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