Chapter 6: Problem 4
For each of the following, find a matrix \(B\) such that \(B^{2}=A\) (a) \(A=\left(\begin{array}{rr}2 & 1 \\ -2 & -1\end{array}\right)\) (b) \(A=\left(\begin{array}{rrr}9 & -5 & 3 \\ 0 & 4 & 3 \\ 0 & 0 & 1\end{array}\right)\)
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Chapter 6: Problem 4
For each of the following, find a matrix \(B\) such that \(B^{2}=A\) (a) \(A=\left(\begin{array}{rr}2 & 1 \\ -2 & -1\end{array}\right)\) (b) \(A=\left(\begin{array}{rrr}9 & -5 & 3 \\ 0 & 4 & 3 \\ 0 & 0 & 1\end{array}\right)\)
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Let \(A\) be a diagonalizable matrix whose eigenvalues are all either 1 or \(-1 .\) Show that \(A^{-1}=A\)
Let \(\left\\{\mathbf{u}_{1}, \ldots, \mathbf{u}_{n}\right\\}\) be an orthonormal basis for a complex inner product space \(V\), and let \\[ \begin{array}{l} \mathbf{z}=a_{1} \mathbf{u}_{1}+a_{2} \mathbf{u}_{2}+\cdots+a_{n} \mathbf{u}_{n} \\ \mathbf{w}=b_{1} \mathbf{u}_{1}+b_{2} \mathbf{u}_{2}+\cdots+b_{n} \mathbf{u}_{n} \end{array} \\] Show that \\[ \langle\mathbf{z}, \mathbf{w}\rangle=\sum_{i=1}^{n} \bar{b}_{i} a_{i} \\]
Show that \(e^{A}\) is nonsingular for any diagonalizable matrix \(A\)
Let
\\[
A=\left(\begin{array}{l|l}
B & O \\
O & C
\end{array}\right)
\\]
where \(B\) and \(C\) are square matrices.
(a) If \(\lambda\) is an eigenvalue of \(B\) with eigenvector
\(\mathbf{x}=\left(x_{1}, \ldots, x_{k}\right)^{T},\) show that \(\lambda\) is
also an eigenvalue of \(A\) with eigenvector \(\tilde{\mathbf{x}}=\left(x_{1},
\ldots, x_{k}, 0, \ldots, 0\right)^{T}\)
(b) If \(B\) and \(C\) are positive matrices, show that \(A\) has a positive real
eigenvalue \(r\) with the property that \(|\lambda|
Let \(\mathbf{u}\) be a unit vector in \(\mathbb{C}^{n}\) and define \(U=\) \(I-2 \mathbf{u u}^{H} .\) Show that \(U\) is both unitary and Hermitian and, consequently, is its own inverse.
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