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Find the matrix C whose inverse is \({C^{ - {\bf{1}}}} = \left( {\begin{aligned}{*{20}{c}}{\bf{4}}&{\bf{5}}\\{\bf{6}}&{\bf{7}}\end{aligned}} \right)\).

Short Answer

Expert verified

Matrix \(C = \left( {\begin{aligned}{*{20}{c}}{{{ - 7} \mathord{\left/

{\vphantom {{ - 7} 2}} \right.

\kern-\nulldelimiterspace} 2}}&{{5 \mathord{\left/

{\vphantom {5 2}} \right.

\kern-\nulldelimiterspace} 2}}\\3&{ - 2}\end{aligned}} \right)\).

Step by step solution

01

Use the inverse property

Note that C is invertible. Since \({C^{ - 1}}\) exists, therefore,

\({\left( {{C^{ - 1}}} \right)^{ - 1}} = C\)

02

Use the formula

\({\left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)^{ - 1}} = \frac{1}{{ad - bc}}\left( {\begin{aligned}{*{20}{c}}d&{ - b}\\{ - c}&a\end{aligned}} \right)\)when \(ad - bc \ne 0\).

03

Find matrix C

\(\begin{aligned}{c}C = {\left( {\begin{aligned}{*{20}{c}}4&5\\6&7\end{aligned}} \right)^{ - 1}}\\ = \frac{1}{{4(7) - 5\left( 6 \right)}}\left( {\begin{aligned}{*{20}{c}}7&{ - 5}\\{ - 6}&4\end{aligned}} \right)\\ = \frac{1}{{28 - 30}}\left( {\begin{aligned}{*{20}{c}}7&{ - 5}\\{ - 6}&4\end{aligned}} \right)\\ = - \frac{1}{2}\left( {\begin{aligned}{*{20}{c}}7&{ - 5}\\{ - 6}&4\end{aligned}} \right)\\C = \left( {\begin{aligned}{*{20}{c}}{{{ - 7} \mathord{\left/

{\vphantom {{ - 7} 2}} \right.

\kern-\nulldelimiterspace} 2}}&{{5 \mathord{\left/

{\vphantom {5 2}} \right.

\kern-\nulldelimiterspace} 2}}\\3&{ - 2}\end{aligned}} \right)\end{aligned}\)

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Most popular questions from this chapter

In Exercises 1–9, assume that the matrices are partitioned conformably for block multiplication. In Exercises 5–8, find formulas for X, Y, and Zin terms of A, B, and C, and justify your calculations. In some cases, you may need to make assumptions about the size of a matrix in order to produce a formula. [Hint:Compute the product on the left, and set it equal to the right side.]

8. \[\left[ {\begin{array}{*{20}{c}}A&B\\{\bf{0}}&I\end{array}} \right]\left[ {\begin{array}{*{20}{c}}X&Y&Z\\{\bf{0}}&{\bf{0}}&I\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}I&{\bf{0}}&{\bf{0}}\\{\bf{0}}&{\bf{0}}&I\end{array}} \right]\]

Let \(A = \left( {\begin{aligned}{*{20}{c}}{\bf{2}}&{ - {\bf{3}}}\\{ - {\bf{4}}}&{\bf{6}}\end{aligned}} \right)\) and \(B = \left( {\begin{aligned}{*{20}{c}}{\bf{8}}&{\bf{4}}\\{\bf{5}}&{\bf{5}}\end{aligned}} \right)\) and \(C = \left( {\begin{aligned}{*{20}{c}}{\bf{5}}&{ - {\bf{2}}}\\{\bf{3}}&{\bf{1}}\end{aligned}} \right)\). Verfiy that \(AB = AC\) and yet \(B \ne C\).

When a deep space probe launched, corrections may be necessary to place the probe on a precisely calculated trajectory. Radio elementary provides a stream of vectors, \({{\bf{x}}_{\bf{1}}},....,{{\bf{x}}_k}\), giving information at different times about how the probe’s position compares with its planned trajectory. Let \({X_k}\) be the matrix \(\left[ {{x_{\bf{1}}}.....{x_k}} \right]\). The matrix \({G_k} = {X_k}X_k^T\) is computed as the radar data are analyzed. When \({x_{k + {\bf{1}}}}\) arrives, a new \({G_{k + {\bf{1}}}}\) must be computed. Since the data vector arrive at high speed, the computational burden could be serve. But partitioned matrix multiplication helps tremendously. Compute the column-row expansions of \({G_k}\) and \({G_{k + {\bf{1}}}}\) and describe what must be computed in order to update \({G_k}\) to \({G_{k + {\bf{1}}}}\).

Let T be a linear transformation that maps \({\mathbb{R}^n}\) onto \({\mathbb{R}^n}\). Is \({T^{ - 1}}\) also one-to-one?

The inverse of \(\left[ {\begin{array}{*{20}{c}}I&{\bf{0}}&{\bf{0}}\\C&I&{\bf{0}}\\A&B&I\end{array}} \right]\) is \(\left[ {\begin{array}{*{20}{c}}I&{\bf{0}}&{\bf{0}}\\Z&I&{\bf{0}}\\X&Y&I\end{array}} \right]\). Find X, Y, and Z.

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