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Revision difference : Hermitian matrix
Version 9 Version 8
For a matrix $A$, let $A^\ast=\overline{A}^{T}$, where For a matrix $A$, let $A^\ast=\overline{A}^{T}$, where
$A^T$ is the transpose, and $\bar{A}$ is the complex conjugate of $A$. $A^T$ is the transpose, and $\bar{A}$ is the complex conjugate of $A$.
{\bf Definition} {\bf Definition}
A complex square matrix $A$ is \emph{Hermitian}, if A complex square matrix $A$ is \emph{Hermitian}, if
$$ A = A^*. $$ $$ A = A^*. $$
\subsubsection*{Properties} \subsubsection*{Properties}
\begin{enumerate} \begin{enumerate}
\item The eigenvalues of a Hermitian matrix are real \cite{eves}. \item The eigenvalues of a Hermitian matrix are real \cite{eves}.
\item The diagonal elements of a Hermitian matrix are real. \item The diagonal elements of a Hermitian matrix are real.
\item The complex conjugate of a Hermitian matrix is a Hermitian matrix. \item The complex conjugate of a Hermitian matrix is a Hermitian matrix.
\item If $A$ is a Hermitian matrix, and $B$ is a complex matrix \item If $A$ is a Hermitian matrix, and $B$ is a complex matrix
of same dimension as $A$, then $BAB^\ast$ is a Hermitian matrix. of same dimension as $A$, then $BAB^\ast$ is a Hermitian matrix.
\item A matrix is symmetric if and only if it is real and Hermitian. \item A matrix is symmetric if and only if it is real and Hermitian.
\item Hermitian matrices is a vector subspace in the vector space of \item Hermitian matrices is a vector subspace in the vector space of
complex matrices. complex matrices.
The real symmetric matrices are a subspace of the Hermitian matrices. The real symmetric matrices are a subspace of the Hermitian matrices.
\item Hermitian matrices are also called \emph{self-adjoint} since if $A$ is \item Hermitian matrices are also called \emph{self-adjoint} since if $A$ is
Hermitian, then in the usual Hermitian, then in the usual
inner product of $\mathbb{C}^n$, we have inner product of $\mathbb{C}^n$, we have
$$ \langle u,Av \rangle = \langle Au,v\rangle$$ $$ \langle u,Av \rangle = \langle Au,v\rangle$$
for all $u,v\in \mathbb{C}^n$. for all $u,v\in \mathbb{C}^n$.
\end{enumerate} \end{enumerate}
\subsubsection*{Example} \subsubsection*{Example}
\begin{enumerate} \begin{enumerate}
\item For any $n\times m$ matrix $A$, the $n\times n$ matrix $A A^\ast$ is \item For any $n\times m$ matrix $A$, the $n\times n$ matrix $A A^\ast$ i
Hermitian. Hermitian.
\item For any square matrix $A$, the Hermitian part of $A$,
$\frac{1}{2}(A+A^\ast)$ is Hermitian.
See \PMlinkname{this page}{DirectSumOfHermitianAndSkewHermitianMatrices}.
\item \item
$$ \begin{bmatrix} $$ \begin{bmatrix}
1 & 1 + i & 1 + 2i & 1 + 3i \\ 1 & 1 + i & 1 + 2i & 1 + 3i \\
1 - i & 2 & 2 + 2i & 2 + 3i \\ 1 - i & 2 & 2 + 2i & 2 + 3i \\
1 - 2i & 2 - 2i & 3 & 3 + 3i \\ 1 - 2i & 2 - 2i & 3 & 3 + 3i \\
1 - 3i & 2 - 3i & 3 - 3i & 4 1 - 3i & 2 - 3i & 3 - 3i & 4
\end{bmatrix} $$ \end{bmatrix} $$
\end{enumerate} \end{enumerate}
The first two examples are also examples of normal matrices.
\subsubsection*{Notes} \subsubsection*{Notes}
Hermitian matrices are named after Hermitian matrices are named after
Charles Hermite (1822-1901) \cite{hermite}, who proved in 1855 that the Charles Hermite (1822-1901) \cite{hermite}, who proved in 1855 that the
eigenvalues of these matrices are always real \cite{eves}. eigenvalues of these matrices are always real \cite{eves}.
\begin{thebibliography}{9} \begin{thebibliography}{9}
\bibitem{eves} H. Eves, \bibitem{eves} H. Eves,
\emph{Elementary Matrix Theory}, \emph{Elementary Matrix Theory},
Dover publications, 1980. Dover publications, 1980.
\bibitem{hermite} \bibitem{hermite}
The MacTutor History of Mathematics archive, The MacTutor History of Mathematics archive,
\PMlinkexternal{Charles Hermite}{http://www-gap.dcs.st-and.ac.uk/~history/Mathematicians/Hermite.html} \PMlinkexternal{Charles Hermite}{http://www-gap.dcs.st-and.ac.uk/~history/Mathematicians/Hermite.html}
\end{thebibliography} \end{thebibliography}