Chapter 5: Problem 253
Define (1) An upper triangular matrix. (2) A lower triangular matrix. (3) A properly triangular matrix. Give examples.
Chapter 5: Problem 253
Define (1) An upper triangular matrix. (2) A lower triangular matrix. (3) A properly triangular matrix. Give examples.
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Get started for free1) Define a column-reduced matrix and give an example. 2) Define column-reduced echelon form and give an example.
Find the rank of the matrix A where: (i) \(\quad \begin{array}{rrrrrr} & \mid 1 & 3 & 1 & -2 & -3 \mid \\ & A=\mid 1 & 4 & 3 & -1 & -4 \mid \\ & \mid 2 & 3 & -4 & -7 & -3 \\ & \mid 3 & 8 & 1 & -7 & -8 \mid\end{array}\) (ii) \(\quad \begin{aligned}&\mid 1 & 2 & -3 \mid \\\&A= & \mid 2 & 1 & 0 \mid \\\&\mid-2 & -1 & 3 \\\&\mid-1 & 4 & -2\end{aligned} \mid\) (iii) \(\quad \begin{array}{rr}\mid 1 & 3 \mid \\ A=\mid & -2 \mid \\ \mid 5 & -1 \mid \\ \mid-2 & 3\end{array} \mid\)
a) Suppose \(\quad A=|1 \quad 3|\) and \(B=|2 \quad 0 \quad-4|\). \(|2 \quad-1|\) \(|3 \quad-2 \quad 6|\) Find i) \(\mathrm{AB}\) and ii) BA. b) Suppose \(A=[2,1]\) and \(\quad B=\mid \begin{array}{ccc}1 & -2 & 0 \mid . \text { Find }\end{array}\) i) \(\mathrm{AB}\), and ii) BA.
Show for the following matrix, \(A\), that any column eigenvector corresponding to a particular eigenvalue is orthogonal to all row eigenvectors corresponding to other eigenvalues and vice versa. $$ A=\mid \begin{array}{rrr} -1 & 2 & 2 \mid \\ -8 & 7 & 4 \\ -13 & 5 & 8 \end{array} $$
Find the real eigenvalues of \(\mathrm{A}\) and their associated eigenvectors when \(\mathrm{A}=\mid \begin{array}{ll}1 & 1 \mid \\ \mid-2 & 4 \mid \text { . }\end{array}\)
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