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Let \(A = \left( {\begin{aligned}{*{20}{c}}{\bf{0}}&{\bf{0}}&{\bf{0}}\\{\bf{1}}&{\bf{0}}&{\bf{0}}\\{\bf{0}}&{\bf{1}}&{\bf{0}}\end{aligned}} \right)\). Show that \({A^{\bf{3}}} = {\bf{0}}\). Use matrix algebra to complete the product \(\left( {I - A} \right)\left( {I + A + {A^{\bf{2}}}} \right)\).

Short Answer

Expert verified

The equation \({A^3} = 0\) is proved. Using \({A^3} = 0\), the product \(\left( {I - A} \right)\left( {I + A + {A^2}} \right) = I\).

Step by step solution

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01

First compute \({A^{\bf{2}}}\)

\(\begin{aligned}{c}{A^2} = AA\\ = \left( {\begin{aligned}{*{20}{c}}0&0&0\\1&0&0\\0&1&0\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}0&0&0\\1&0&0\\0&1&0\end{aligned}} \right)\\{A^2} = \left( {\begin{aligned}{*{20}{c}}0&0&0\\0&0&0\\1&0&0\end{aligned}} \right)\end{aligned}\)

02

Using \({A^{\bf{2}}}\) compute \({A^{\bf{3}}}\)

\(\begin{aligned}{c}{A^3} = {A^2}A\\ = \left( {\begin{aligned}{*{20}{c}}0&0&0\\0&0&0\\1&0&0\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}0&0&0\\1&0&0\\0&1&0\end{aligned}} \right)\\ = \left( {\begin{aligned}{*{20}{c}}0&0&0\\0&0&0\\0&0&0\end{aligned}} \right)\\{A^3} = 0\end{aligned}\)

03

Use matrix algebra

\(\begin{aligned}{c}\left( {I - A} \right)\left( {I + A + {A^2}} \right) = {I^2} + IA + I{A^2} - AI - {A^2} - {A^3}\\ = I + A + {A^2} - A - {A^2} - {A^3}\\ = I - {A^3}\\ = I - 0\\\left( {I - A} \right)\left( {I + A + {A^2}} \right) = I\end{aligned}\)

\({A^3} = 0\) from step 2.

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Most popular questions from this chapter

Suppose \(\left( {B - C} \right)D = 0\), where Band Care \(m \times n\) matrices and \(D\) is invertible. Show that B = C.

Suppose \(CA = {I_n}\)(the \(n \times n\) identity matrix). Show that the equation \(Ax = 0\) has only the trivial solution. Explain why Acannot have more columns than rows.

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

Let \({{\bf{r}}_1} \ldots ,{{\bf{r}}_p}\) be vectors in \({\mathbb{R}^{\bf{n}}}\), and let Qbe an\(m \times n\)matrix. Write the matrix\(\left( {\begin{aligned}{*{20}{c}}{Q{{\bf{r}}_1}}& \cdots &{Q{{\bf{r}}_p}}\end{aligned}} \right)\)as a productof two matrices (neither of which is an identity matrix).

Let \(A = \left( {\begin{aligned}{*{20}{c}}{\bf{1}}&{\bf{2}}\\{\bf{5}}&{{\bf{12}}}\end{aligned}} \right),{b_{\bf{1}}} = \left( {\begin{aligned}{*{20}{c}}{ - {\bf{1}}}\\{\bf{3}}\end{aligned}} \right),{b_{\bf{2}}} = \left( {\begin{aligned}{*{20}{c}}{\bf{1}}\\{ - {\bf{5}}}\end{aligned}} \right),{b_{\bf{3}}} = \left( {\begin{aligned}{*{20}{c}}{\bf{2}}\\{\bf{6}}\end{aligned}} \right),\) and \({b_{\bf{4}}} = \left( {\begin{aligned}{*{20}{c}}{\bf{3}}\\{\bf{5}}\end{aligned}} \right)\).

  1. Find \({A^{ - {\bf{1}}}}\), and use it to solve the four equations \(Ax = {b_{\bf{1}}},\)\(Ax = {b_2},\)\(Ax = {b_{\bf{3}}},\)\(Ax = {b_{\bf{4}}}\)\(\)
  2. The four equations in part (a) can be solved by the same set of row operations, since the coefficient matrix is the same in each case. Solve the four equations in part (a) by row reducing the augmented matrix \(\left( {\begin{aligned}{*{20}{c}}A&{{b_{\bf{1}}}}&{{b_{\bf{2}}}}&{{b_{\bf{3}}}}&{{b_{\bf{4}}}}\end{aligned}} \right)\).
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