Hermitian Matrix has Real Eigenvalues/Proof 2
Theorem
Every Hermitian matrix has eigenvalues which are all real numbers.
Proof
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Let $\mathbf A$ be a Hermitian matrix.
Then, by definition, $\mathbf A = \mathbf A^\dagger$, where $^\dagger$ designates its Hermitian conjugate.
Let $\lambda$ be an eigenvalue of $\mathbf A$.
Let $\mathbf v$ be an eigenvector corresponding to the eigenvalue $\lambda$ of $\mathbf A$.
Denote with $\innerprod \cdot \cdot$ the inner product on $\C$.
\(\ds \lambda * \innerprod v v\) | \(=\) | \(\ds \innerprod {\lambda * v} v\) | Properties of Complex Inner Product | |||||||||||
\(\ds \) | \(=\) | \(\ds \innerprod {\mathbf A * v} v\) | Definition of Eigenvector of Linear Operator: $\lambda * v = \mathbf A * v$ | |||||||||||
\(\ds \) | \(=\) | \(\ds \innerprod v {\mathbf A^\dagger * v}\) | Properties of Adjugate | |||||||||||
\(\ds \) | \(=\) | \(\ds \innerprod v {\mathbf A * v}\) | $\mathbf A$ is Hermitian, so $\mathbf A^\dagger = \mathbf A$ | |||||||||||
\(\ds \) | \(=\) | \(\ds \innerprod v {\lambda * v}\) | Definition of Eigenvector of Linear Operator: $\lambda*v = \mathbf A*v$ | |||||||||||
\(\ds \) | \(=\) | \(\ds \overline \lambda * \innerprod v v\) | Properties of Complex Inner Product |
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We have that $v \ne 0$.
Hence by non-negative definiteness of an inner product:
- $\innerprod v v \ne 0$
and we can divide both sides by $\innerprod v v$.
Thus:
- $\lambda = \overline \lambda$
By Complex Number equals Conjugate iff Wholly Real, $\lambda$ is a real number.
$\lambda$ was arbitrary, so it follows that every eigenvalue is a real number.
Hence the result.
$\blacksquare$