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Let \(A = \left( {\begin{aligned}{*{20}{c}}{\bf{1}}&{\bf{2}}\\{\bf{1}}&{\bf{3}}\\{\bf{1}}&{\bf{5}}\end{aligned}} \right)\). Construct a \({\bf{2}} \times {\bf{3}}\) matrix \(C\) (by trial and error) using only \({\bf{1}}\), \( - {\bf{1}}\), and \({\bf{0}}\) as enteries, such that \(CA = {I_{\bf{2}}}\). Compute \(AC\) and note that \(AC \ne {I_{\bf{3}}}\).

Short Answer

Expert verified

\(\left( {\begin{aligned}{*{20}{c}}1&1&{ - 1}\\{ - 1}&1&0\end{aligned}} \right)\)

Step by step solution

01

Construct matrix \(C\) using the elements \({\bf{1}}\), \( - {\bf{1}}\), and \({\bf{0}}\)

As the product \(CA\) is an identity matrix of \(2 \times 2\), the first row of \(C\) is \(\left( {\begin{aligned}{*{20}{c}}1&1&{ - 1}\end{aligned}} \right)\).

When \(A\) is multiplied by the first row of \(C\), the first row of \(CA\) becomes \(\left( {\begin{aligned}{*{20}{c}}1&0\end{aligned}} \right)\).

02

Construct matrix \(C\) using the elements \({\bf{1}}\), \( - {\bf{1}}\), and \({\bf{0}}\)

The second row of \(C\) is \(\left( {\begin{aligned}{*{20}{c}}{ - 1}&1&0\end{aligned}} \right)\).

When \(A\) is multiplied by the second row of \(C\), the second row of \(CA\) becomes \(\left( {\begin{aligned}{*{20}{c}}0&1\end{aligned}} \right)\).

So, matrix \(C\) is \(\left( {\begin{aligned}{*{20}{c}}1&1&{ - 1}\\{ - 1}&1&0\end{aligned}} \right)\).

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Most popular questions from this chapter

Exercises 15 and 16 concern arbitrary matrices A, B, and Cfor which the indicated sums and products are defined. Mark each statement True or False. Justify each answer.

16. a. If A and B are \({\bf{3}} \times {\bf{3}}\) and \(B = \left( {\begin{aligned}{*{20}{c}}{{{\bf{b}}_1}}&{{{\bf{b}}_2}}&{{{\bf{b}}_3}}\end{aligned}} \right)\), then \(AB = \left( {A{{\bf{b}}_1} + A{{\bf{b}}_2} + A{{\bf{b}}_3}} \right)\).

b. The second row of ABis the second row of Amultiplied on the right by B.

c. \(\left( {AB} \right)C = \left( {AC} \right)B\)

d. \({\left( {AB} \right)^T} = {A^T}{B^T}\)

e. The transpose of a sum of matrices equals the sum of their transposes.

2. Find the inverse of the matrix \(\left( {\begin{aligned}{*{20}{c}}{\bf{3}}&{\bf{2}}\\{\bf{7}}&{\bf{4}}\end{aligned}} \right)\).

Show that block upper triangular matrix \(A\) in Example 5is invertible if and only if both \({A_{{\bf{11}}}}\) and \({A_{{\bf{12}}}}\) are invertible. [Hint: If \({A_{{\bf{11}}}}\) and \({A_{{\bf{12}}}}\) are invertible, the formula for \({A^{ - {\bf{1}}}}\) given in Example 5 actually works as the inverse of \(A\).] This fact about \(A\) is an important part of several computer algorithims that estimates eigenvalues of matrices. Eigenvalues are discussed in chapter 5.

Give a formula for \({\left( {ABx} \right)^T}\), where \({\bf{x}}\) is a vector and \(A\) and \(B\) are matrices of appropriate sizes.

Suppose the last column of ABis entirely zero but Bitself has no column of zeros. What can you sayaboutthe columns of A?

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