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a. Verify that \({A^2} = I\) when \(A = \left[ {\begin{array}{*{20}{c}}1&0\\3&{ - 1}\end{array}} \right]\).

b. Use partitioned matrices to show that \({M^2} = I\) when\(M = \left[ {\begin{array}{*{20}{c}}1&0&0&0\\3&{ - 1}&0&0\\1&0&{ - 1}&0\\0&1&{ - 3}&1\end{array}} \right]\).

Short Answer

Expert verified
  1. It is verified that \({A^2} = I\).
  2. It is proved that \({M^2} = I\).

Step by step solution

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01

Verify that \({A^2} = I\)

(a)

If \(A = \left[ {\begin{array}{*{20}{c}}1&0\\3&{ - 1}\end{array}} \right]\),

\(\begin{array}{c}{A^2} = \left[ {\begin{array}{*{20}{c}}1&0\\3&{ - 1}\end{array}} \right]\left[ {\begin{array}{*{20}{c}}1&0\\3&{ - 1}\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}{1 + 0}&{0 + 0}\\{3 - 3}&{0 + {{\left( { - 1} \right)}^2}}\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}1&0\\0&1\end{array}} \right]\\ = I.\end{array}\)

Thus, it is verified that \({A^2} = I\).

02

Determine the partitioned matrix of M

(b)

Matrix \(M = \left[ {\begin{array}{*{20}{c}}1&0&0&0\\3&{ - 1}&0&0\\1&0&{ - 1}&0\\0&1&{ - 3}&1\end{array}} \right]\)can be written as a \(2 \times 2\) partitioned matrix.

\(\begin{array}{c}M = \left[ {\begin{array}{*{20}{c}}{{A_{11}}}&{{A_{12}}}\\{{A_{21}}}&{{A_{22}}}\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}1&0&0&0\\3&{ - 1}&0&0\\1&0&{ - 1}&0\\0&1&{ - 3}&1\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}A&0\\I&{ - A}\end{array}} \right]\end{array}\)

03

Use the partitioned matrix to show that \({M^2} = I\)

If \(M = \left[ {\begin{array}{*{20}{c}}A&0\\I&{ - A}\end{array}} \right]\),

\[\begin{array}{c}{M^2} = \left[ {\begin{array}{*{20}{c}}A&0\\I&{ - A}\end{array}} \right]\left[ {\begin{array}{*{20}{c}}A&0\\I&{ - A}\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}{{A^2} + 0}&{0 + 0}\\{A - A}&{0 + {{\left( { - A} \right)}^2}}\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}I&0\\0&I\end{array}} \right]\,\,\,\,\,\,{\mathop{\rm since}\nolimits} \,\,\,{A^2} = I\\ = I.\end{array}\]

Thus, it is proved that \({M^2} = I\).

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Most popular questions from this chapter

(M) Read the documentation for your matrix program, and write the commands that will produce the following matrices (without keying in each entry of the matrix).

  1. A \({\bf{5}} \times {\bf{6}}\) matrix of zeros
  2. A \({\bf{3}} \times {\bf{5}}\) matrix of ones
  3. The \({\bf{6}} \times {\bf{6}}\) identity matrix
  4. A \({\bf{5}} \times {\bf{5}}\) diagonal matrix, with diagonal entries 3, 5, 7, 2, 4

In Exercises 1–9, assume that the matrices are partitioned conformably for block multiplication. Compute the products shown in Exercises 1–4.

2. \[\left[ {\begin{array}{*{20}{c}}E&{\bf{0}}\\{\bf{0}}&F\end{array}} \right]\left[ {\begin{array}{*{20}{c}}A&B\\C&D\end{array}} \right]\]

In exercise 5 and 6, compute the product \(AB\) in two ways: (a) by the definition, where \(A{b_{\bf{1}}}\) and \(A{b_{\bf{2}}}\) are computed separately, and (b) by the row-column rule for computing \(AB\).

\(A = \left( {\begin{aligned}{*{20}{c}}{ - {\bf{1}}}&{\bf{2}}\\{\bf{5}}&{\bf{4}}\\{\bf{2}}&{ - {\bf{3}}}\end{aligned}} \right)\), \(B = \left( {\begin{aligned}{*{20}{c}}{\bf{3}}&{ - {\bf{2}}}\\{ - {\bf{2}}}&{\bf{1}}\end{aligned}} \right)\)

Explain why the columns of an \(n \times n\) matrix Aspan \({\mathbb{R}^{\bf{n}}}\) when

Ais invertible. (Hint:Review Theorem 4 in Section 1.4.)

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.

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