Let \(A = \left( {\begin{aligned}{*{20}{c}}{\bf{1}}&{\bf{1}}&{\bf{1}}&{\bf{0}}\\{\bf{0}}&{\bf{1}}&{\bf{1}}&{\bf{1}}\end{aligned}} \right)\). Construct a \({\bf{4}} \times {\bf{2}}\) matrix \(D\) using only \({\bf{1}}\) and \({\bf{0}}\) as enteries, such that \(AD = {I_{\bf{2}}}\). It is possible that \(CA = {I_{\bf{4}}}\) for some \({\bf{4}} \times {\bf{2}}\) matrix \(C\)? Why or why not?

Short Answer

Expert verified

(D = \left( {\begin{aligned}{*{20}{c}}1&0\\0&0\\0&0\\0&1\end{aligned}} \right)\) and matrix \(C\) is not defined as the column vectors of \(A\) are linearly independent.

Step by step solution

01

Construct matrix \(D\) using the elements \({\bf{1}}\) and \({\bf{0}}\)

The first column of the matrix \(D\) is \(\left( {\begin{aligned}{*{20}{c}}1\\0\\0\\0\end{aligned}} \right)\).

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

02

Construct matrix \(D\) using the elements \({\bf{1}}\) and \({\bf{0}}\)

The second column of matrix \(D\) is \(\left( {\begin{aligned}{*{20}{c}}0\\0\\0\\1\end{aligned}} \right)\).

03

Find matrix \(C\)

If \(CA = {I_4}\), then \(CA{\bf{x}}\) is equal to \({\bf{x}}\) in \({\mathbb{R}^4}\). As the columns in \(A\) are linearly independent and \(A{\bf{x}} = 0\) for a non-zero vector \({\bf{x}}\), \(CA{\bf{x}}\) is not equal to \({\bf{x}}\).

So, \(D = \left( {\begin{aligned}{*{20}{c}}1&0\\0&0\\0&0\\0&1\end{aligned}} \right)\) and matrix \(C\) are not defined as the column vectors of \(A\) are linearly independent.

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Most popular questions from this chapter

In Exercise 9 mark each statement True or False. Justify each answer.

9. a. In order for a matrix B to be the inverse of A, both equations \(AB = I\) and \(BA = I\) must be true.

b. If A and B are \(n \times n\) and invertible, then \({A^{ - {\bf{1}}}}{B^{ - {\bf{1}}}}\) is the inverse of \(AB\).

c. If \(A = \left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)\) and \(ab - cd \ne {\bf{0}}\), then A is invertible.

d. If A is an invertible \(n \times n\) matrix, then the equation \(Ax = b\) is consistent for each b in \({\mathbb{R}^{\bf{n}}}\).

e. Each elementary matrix is invertible.

Use matrix algebra to show that if A is invertible and D satisfies \(AD = I\) then \(D = {A^{ - {\bf{1}}}}\).

Prove Theorem 2(d). (Hint: The \(\left( {i,j} \right)\)- entry in \(\left( {rA} \right)B\) is \(\left( {r{a_{i1}}} \right){b_{1j}} + ... + \left( {r{a_{in}}} \right){b_{nj}}\).)

Find the inverse of the matrix \(\left( {\begin{aligned}{*{20}{c}}{\bf{3}}&{ - {\bf{4}}}\\{\bf{7}}&{ - {\bf{8}}}\end{aligned}} \right)\).

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.]

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

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