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In Exercises 11 and 12, find the \(B\)-matrix for the transformation \({\bf{x}} \mapsto A{\bf{x}}\), when \(B = \left\{ {{{\bf{b}}_1},{{\bf{b}}_2}} \right\}\).

12.\(A = \left( {\begin{aligned}{ - 1}&{}&4\\{ - 2}&{}&3\end{aligned}} \right)\), \({{\bf{b}}_1} = \left( {\begin{aligned}3\\2\end{aligned}} \right)\), \({{\bf{b}}_2} = \left( {\begin{aligned}{ - 1}\\1\end{aligned}} \right)\)

Short Answer

Expert verified

The \(B\)-matrix is \(\left( {\begin{aligned}1&{}&2\\{ - 2}&{}&1\end{aligned}} \right)\).

Step by step solution

01

Theorem

Diagonal Matrix Representation:Assume that \(A = PD{P^{ - 1}}\), then, \(D\) is the \(B\)-matrix for the transformation \({\bf{x}} \mapsto A{\bf{x}}\), and\(B\) is the basis for \({\mathbb{R}^n}\) formed from the columns of \(P\), where \(D\) is the \(n \times n\) diagonal matrix.

02

Determine \(P\) -matrix

The given matrix is \(A = \left( {\begin{aligned}{ - 1}&{}&4\\{ - 2}&{}73\end{aligned}} \right)\), and the given vectors are \({{\bf{b}}_1} = \left( {\begin{aligned}2\\{ - 1}\end{aligned}} \right)\), \({{\bf{b}}_2} = \left( {\begin{aligned}{ - 1}\\1\end{aligned}} \right)\).

Form a matrix \(P\) by using the vectors \({{\bf{b}}_1} = \left( {\begin{aligned}3\\2\end{aligned}} \right)\) and \({{\bf{b}}_2} = \left( {\begin{aligned}{ - 1}\\1\end{aligned}} \right)\) as its columns.

\(\begin{aligned}{c}P = \left( {\begin{aligned}{{{\bf{b}}_1}}&{}&{{{\bf{b}}_2}}\end{aligned}} \right)\\ = \left( {\begin{aligned}3&{}&{ - 1}\\2&{}&1\end{aligned}} \right)\end{aligned}\)

The \(B\)-matrix can be found by finding \({P^{ - 1}}AP\), for which first find \({P^{ - 1}}\).

03

Formula to find inverse of a matrix 

For any \(2 \times 2\) matrix \(A = \left( {\begin{aligned}a&{}&b\\c&d\end{aligned}} \right)\), \({A^{ - 1}}\) is given by,

\({A^{ - 1}} = \frac{1}{{\det \left( A \right)}}\left( {\begin{aligned}d&{}&{ - b}\\{ - c}&{}&a\end{aligned}} \right)\), where \(\det \left( A \right) = ad - bc\).

04

Determine \({P^{ - 1}}\)

According to the formula of inverse, the determinant of the matrix is required. So determine the determinant of the matrix \(P\).

\(\begin{aligned}\det \left( P \right) = 3 \cdot 1 - 2\left( { - 1} \right)\\ = 3 + 2\\ = 5\end{aligned}\)

Now, find \({P^{ - 1}}\) by using the inverse formula:

\({P^{ - 1}} = \frac{1}{5}\left( {\begin{aligned}1&{}&1\\{ - 2}&{}&3\end{aligned}} \right)\)

05

 Determine \(B\) -matrix

Find \({P^{ - 1}}AP\).

\(\begin{aligned}{P^{ - 1}}AP &= \frac{1}{5}\left( {\begin{aligned}1&{}&1\\{ - 2}&{}&3\end{aligned}} \right)\left( {\begin{aligned}{ - 1}&{}&4\\{ - 2}&{}&3\end{aligned}} \right)\left( {\begin{aligned}3&{}&{ - 1}\\2&{}&1\end{aligned}} \right)\\ &= \frac{1}{5}\left( {\begin{aligned}1&{}&1\\{ - 2}&{}&3\end{aligned}} \right)\left( {\left( {\begin{aligned}{ - 1}&{}&4\\{ - 2}&{}&3\end{aligned}} \right)\left( {\begin{aligned}3&{}&{ - 1}\\2&{}&1\end{aligned}} \right)} \right)\\ &= \frac{1}{5}\left( {\begin{aligned}1&{}&1\\{ - 2}&{}&3\end{aligned}} \right)\left( {\begin{aligned}{ - 3 + 8}&{}&{1 + 4}\\{ - 6 + 6}&{}&{2 + 3}\end{aligned}} \right)\\ &= \frac{1}{5}\left( {\begin{aligned}1&{}&1\\{ - 2}&{}&3\end{aligned}} \right)\left( {\begin{aligned}5&{}&5\\0&{}&5\end{aligned}} \right)\\ &= \frac{1}{5}\left( {\begin{aligned}5&{}&{10}\\{ - 10}&{}&5\end{aligned}} \right)\\ &= \left( {\begin{aligned}1&{}&2\\{ - 2}&{}&1\end{aligned}} \right)\end{aligned}\)

So, the required \(B\)-matrix is \(\left( {\begin{aligned}1&{}&2\\{ - 2}&{}&1\end{aligned}} \right)\).

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Most popular questions from this chapter

For the matrices A in Exercises 1 through 12, find closed formulas for , where t is an arbitrary positive integer. Follow the strategy outlined in Theorem 7.4.2 and illustrated in Example 2. In Exercises 9 though 12, feel free to use technology.

1.A=1203

Question: Is \(\left( {\begin{array}{*{20}{c}}1\\{ - 2}\\1\end{array}} \right)\) an eigenvector of\(\left){\begin{array}{*{20}{c}}3&6&7\\3&3&7\\5&6&5\end{array}} \right)\)? If so, find the eigenvalue.

Question: Construct a random integer-valued \(4 \times 4\) matrix \(A\), and verify that \(A\) and \({A^T}\) have the same characteristic polynomial (the same eigenvalues with the same multiplicities). Do \(A\) and \({A^T}\) have the same eigenvectors? Make the same analysis of a \(5 \times 5\) matrix. Report the matrices and your conclusions.

Suppose \({\bf{x}}\) is an eigenvector of \(A\) corresponding to an eigenvalue \(\lambda \).

a. Show that \(x\) is an eigenvector of \(5I - A\). What is the corresponding eigenvalue?

b. Show that \(x\) is an eigenvector of \(5I - 3A + {A^2}\). What is the corresponding eigenvalue?

Question: In Exercises 21 and 22, \(A\) and \(B\) are \(n \times n\) matrices. Mark each statement True or False. Justify each answer.

  1. If \(A\) is \(3 \times 3\), with columns \({{\rm{a}}_1}\), \({{\rm{a}}_2}\), and \({{\rm{a}}_3}\), then \(\det A\) equals the volume of the parallelepiped determined by \({{\rm{a}}_1}\), \({{\rm{a}}_2}\), and \({{\rm{a}}_3}\).
  2. \(\det {A^T} = \left( { - 1} \right)\det A\).
  3. The multiplicity of a root \(r\) of the characteristic equation of \(A\) is called the algebraic multiplicity of \(r\) as an eigenvalue of \(A\).
  4. A row replacement operation on \(A\) does not change the eigenvalues.
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