Chapter 6: Problem 17
Show that a hermitian operator is positive iff its eigenvalues are positive.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Chapter 6: Problem 17
Show that a hermitian operator is positive iff its eigenvalues are positive.
These are the key concepts you need to understand to accurately answer the question.
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Get started for freeFind the unitary matrices that diagonalize the following hermitian matrices: $$\begin{array}{c}\mathrm{A}_{1}=\left(\begin{array}{cc}2 & -1+i \\\\-1-i & -1\end{array}\right), \quad \mathrm{A}_{2}=\left(\begin{array}{cc}3 & i \\\\-i & 3\end{array}\right), \quad \mathrm{A}_{3}=\left(\begin{array}{cc}1 & -i \\\i & 0\end{array}\right) \\\\\mathrm{B}_{1}=\left(\begin{array}{ccc} 1 & -1 & -i \\\\-1 & 0 & i \\\i & -i & -1\end{array}\right), \quad \mathrm{B}_{2}=\left(\begin{array}{ccc}2 & 0 & i \\ 0 & -1 & -i \\\\-i & i & 0\end{array}\right) .\end{array}$$
Show that a subspace \(\mathcal{M}\) of an inner product space \(\mathcal{V}\) is invariant under the linear operator \(\mathbf{A}\) if and only if \(\mathcal{M}^{\perp}\) is invariant under \(\mathbf{A}^{\dagger}\).
Show that (a) the coefficient of \(\lambda^{N}\) in the characteristic polynomial of any linear operator is \((-1)^{N}\), where \(N=\operatorname{dim} \mathcal{V}\), and (b) the constant in the characteristic polynomial of an operator is its determinant.
What are the spectral decompositions of \(\mathbf{A}^{\dagger}, \mathbf{A}^{-1}\), and \(\mathbf{A A}^{\dagger}\) for an invertible normal operator \(\mathbf{A}\) ?
Find the polar decomposition of the following matrices: $$\mathrm{A}=\left(\begin{array}{cc}2 i & 0 \\\\\sqrt{7} & 3 \end{array}\right), \quad \mathrm{B}=\left(\begin{array}{cc}41 & -12 i \\ 12 i & 34\end{array}\right), \quad \mathrm{C}=\left(\begin{array}{ccc}1 & 0 & 1 \\\0 & 1 & -i \\ 1 & i & 0\end{array}\right)$$
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