Chapter 7: Problem 12
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Chapter 7: Problem 12
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Write down the transpose of the following matrices: $$ \begin{aligned} &\mathbf{A}=\left[\begin{array}{rrrrr} 1 & 4 & 0 & 1 & 2 \\ 3 & 7 & 6 & 1 & 4 \\ 2 & 1 & 3 & 5 & -1 \\ 2 & -5 & 1 & 8 & 0 \end{array}\right] \\ &\mathbf{B}=\left[\begin{array}{llll} 1 & 5 & 7 & 9 \end{array}\right] \\ &\mathbf{C}=\left[\begin{array}{lll} 1 & 2 & 3 \\ 2 & 4 & 5 \\ 3 & 5 & 6 \end{array}\right] \end{aligned} $$
(a) Evaluate the matrix product, \(\mathrm{Ax}\), where $$ \mathbf{A}=\left[\begin{array}{ll} 7 & 5 \\ 1 & 3 \end{array}\right] \text { and } \quad \mathbf{x}=\left[\begin{array}{l} x \\ y \end{array}\right] $$ Hence show that the system of linear equations $$ \begin{array}{r} 7 x+5 y=3 \\ x+3 y=2 \end{array} $$ can be written as \(\mathbf{A x}=\mathbf{b}\) where \(\mathbf{b}=\left[\begin{array}{l}3 \\ 2\end{array}\right]\). (b) The system of equations $$ \begin{array}{r} 2 x+3 y-2 z=6 \\ x-y+2 z=3 \\ 4 x+2 y+5 z=1 \end{array} $$ can be expressed in the form \(A x=b\). Write down the matrices \(A, x\) and \(b\).
Determine the final demand vector for three firms given the matrix of technical coefficients $$ \mathbf{A}=\left[\begin{array}{lll} 0.2 & 0.4 & 0.2 \\ 0.1 & 0.2 & 0.1 \\ 0.1 & 0.1 & 0 \end{array}\right] $$ and the total output vector $$ \mathbf{x}=\left[\begin{array}{c} 1000 \\ 300 \\ 700 \end{array}\right] $$
Use Cramer's rule to solve the following system of equations for \(Y_{\mathrm{d}}\). $$ \left[\begin{array}{rrrr} 1 & -1 & 0 & 0 \\ 0 & 1 & -a & 0 \\ -1 & 0 & 1 & 1 \\ -t & 0 & 0 & 1 \end{array}\right]\left[\begin{array}{c} Y \\ C \\ Y_{\mathrm{d}} \\ T \end{array}\right]=\left[\begin{array}{c} I^{*}+G^{*} \\ b \\ 0 \\ T^{*} \end{array}\right] $$ [Hint: the determinant of the coefficient matrix has already been evaluated in the previous worked example.]
The monthly sales (in thousands) of burgers \((\mathrm{B} 1)\) and bites \((\mathrm{B} 2)\) in three fast-food restaurants \((R 1, R 2, R 3)\) are as follows: \begin{tabular}{l|ccc} & R1 & R2 & R3 \\ \hline B1 & 35 & 27 & 13 \\ B2 & 42 & 39 & 24 \end{tabular} \begin{tabular}{l|ccc} & January \\ & R1 & R2 & R3 \\ \hline B1 & 31 & 17 & 3 \\ B2 & 25 & 29 & 16 \end{tabular} (a) Write down two \(2 \times 3\) matrices \(\mathbf{J}\) and \(\mathrm{F}\) representing sales in January and February respectively. (b) By finding \(\boldsymbol{J}+\mathrm{F}\), write down the matrix for the total sales over the two months. (c) By finding \(J-F\), write down the matrix for the difference in sales for the two months.
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