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Suppose an \(n \times n\) matrix A satisfies the equation \({A^{\bf{2}}} - {\bf{2}}A + I = {\bf{0}}\). Show that \({A^{\bf{3}}} = {\bf{3}}A - 2I\) and \({A^{\bf{4}}} = {\bf{4}}A - {\bf{3}}I\).

Short Answer

Expert verified

The equations \({A^3} = 3A - 2I\), and \({A^4} = 4A - 3I\) are proved.

Step by step solution

01

Write the given data

Given, matrix A satisfies the equation:

\(\begin{aligned}{c}{A^2} - 2A + I = 0\\{A^2} = 2A - I\end{aligned}\)

02

Use \({A^{\bf{2}}} = {\bf{2}}A - I\) to prove \({A^{\bf{3}}} = {\bf{3}}A - {\bf{2}}I\)

Multiply A on both sides of \({A^2} = 2A - I\) to obtain:

\(\begin{aligned}{c}{A^3} = A\left( {2A - I} \right)\\ = 2{A^2} - AI\\ = 2\left( {2A - I} \right) - AI\\ = 4A - 2I - A\\{A^3} = 3A - 2I\end{aligned}\)

03

Use \({A^{\bf{3}}} = {\bf{3}}A - {\bf{2}}I\) to prove \({A^{\bf{4}}} = {\bf{4}}A - {\bf{3}}I\)

Multiply A on both sides of \({A^3} = 3A - 2I\) to obtain:

\(\begin{aligned}{c}{A^4} = A\left( {3A - 2I} \right)\\ = 3{A^2} - 2AI\\ = 3\left( {2A - I} \right) - 2AI\\ = 6A - 3I - 2A\\{A^4} = 4A - 3I\end{aligned}\)

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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.

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 \(AB\).

\(A = \left( {\begin{aligned}{*{20}{c}}{\bf{4}}&{ - {\bf{2}}}\\{ - {\bf{3}}}&{\bf{0}}\\{\bf{3}}&{\bf{5}}\end{aligned}} \right)\), \(B = \left( {\begin{aligned}{*{20}{c}}{\bf{1}}&{\bf{3}}\\{\bf{2}}&{ - {\bf{1}}}\end{aligned}} \right)\)

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

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

Describe in words what happens when you compute \({A^{\bf{5}}}\), \({A^{{\bf{10}}}}\), \({A^{{\bf{20}}}}\), and \({A^{{\bf{30}}}}\) for \(A = \left( {\begin{aligned}{*{20}{c}}{1/6}&{1/2}&{1/3}\\{1/2}&{1/4}&{1/4}\\{1/3}&{1/4}&{5/12}\end{aligned}} \right)\).

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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