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91Ó°ÊÓ

Problem 19

If \(A=\left(\begin{array}{cc}A_{0} & 0 \\ 0 & B_{0}\end{array}\right)\) is a block diagonal matrix with diagonal block matrices \(A_{0}\) and \(B_{0},\) prove that $$ e^{A t}=\left(\begin{array}{cc} e^{A_{0} t} & 0 \\ 0 & e^{B_{0} t} \end{array}\right) $$

Problem 31

Find the Jordan canonical form \(J\) for the matrix \(A\). You need not determine an invertible matrix \(S\) such that \(S^{-1} A S=J\). \(A=\left[\begin{array}{lllll}0 & 0 & 0 & 1 & 4 \\ 0 & 0 & 1 & 1 & 1 \\ 0 & 0 & 0 & 6 & 0 \\ 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0\end{array}\right]\).

Problem 32

Determine all eigenvalues and corresponding eigenvectors of the given matrix. $$\left[\begin{array}{rrrr}0 & 1 & 0 & 0 \\\\-1 & 0 & 0 & 0 \\\0 & 0 & 0 & -1 \\\ 0 & 0 & 1 & 0\end{array}\right]$$.

Problem 39

Prove that the eigenvalues of an upper (or lower) triangular matrix are just the diagonal elements of the matrix.

Problem 41

Use some form of technology to determine the eigenvalues and a basis for each eigenspace of the given matrix. Hence, determine the dimension of each eigenspace and state whether the matrix is defective or nondefective. $$\diamond A=\left[\begin{array}{lll} 1 & 1 & 1 \\ 1 & 1 & 1 \\ 1 & 1 & 1 \end{array}\right]$$

Problem 42

Solve the initial-value problem \(\mathbf{x}^{\prime}=A \mathbf{x},\) where \(A=\left[\begin{array}{rr}-2 & -1 \\ 1 & -4\end{array}\right], \quad \mathbf{x}(0)=\left[\begin{array}{r}0 \\ -1\end{array}\right]\).

Problem 45

(a) Let \(J\) be a Jordan block. Prove that the Jordan canonical form of the matrix \(J^{T}\) is \(J\) (b) Let \(A\) be an \(n \times n\) matrix. Prove that \(A\) and \(A^{T}\) have the same Jordan canonical form.

Problem 45

Use some form of technology to determine the eigenvalues and eigenvectors of \(A\) in the following manner: (1) Form the matrix \(A-\lambda I.\) (2) Solve the characteristic equation \(\operatorname{det}(A-\lambda I)=0\) to determine the eigenvalues of \(A.\) (3) For each eigenvalue \(\lambda_{i}\) found in \((2),\) solve the system \(\left(A-\lambda_{i} I\right) \mathbf{v}=\mathbf{0}\) to determine the eigenvectors of \(A.\) $$\diamond A=\left[\begin{array}{ll}3 & 1 \\\2 & 4\end{array}\right]$$

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