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In Exercises 7-12, use Example 6 to list the eigenvalues of \({\bf{A}}\). In each case, the transformation \({\bf{x}} \mapsto A{\bf{x}}\) is the composition of a rotation and a scaling. Give the angle \(\varphi \) of the rotation, where \( - \pi < \varphi < \pi \), and give the scale factor \(r\).

\(\left( {\begin{aligned}0&{}&{.3}\\{ - .3}&{}&0\end{aligned}} \right)\)

Short Answer

Expert verified

Eigenvalues \(\lambda = 0 \pm 0.3i\), Angle \(\phi = - \frac{\pi }{2}\) and scale factor is \(r = 0.3\).

Step by step solution

01

For a complex eigenvalue finding the scale factor r and the angle of rotation

Let \(A\) be a matrix that has a complex eigenvalue \(\lambda \) of the form \(\lambda = a + bi\).

Then the formula for the scaling factor \(r\) is given by,

\(\begin{aligned}{}r &= \left| \lambda \right|\\ \Rightarrow r &= \sqrt {{a^2} + {b^2}} \end{aligned}\).

And the angle of rotation \(\varphi \) will be \(\varphi = {\tan ^{ - 1}}\left( {\frac{b}{a}} \right)\).

02

Find the angle and scale factor 

Given that\(A = \left( {\begin{aligned}{}0&{}&{.3}\\{ - .3}&{}&0\end{aligned}} \right)\).

Comparing this matrix to the matrix \(C\) from example 6 we have,

\(a = 0,b = - 0.3, - b = 0.3\).

Hence using the example \(6\) the eigenvalues of the matrix \(A\) are \(\lambda = 0 \pm 0.3i\).

Find the scaling factor for this matrix by using the formula \(r = \sqrt {{a^2} + {b^2}} \).

\(\begin{aligned}{}r &= \left| \lambda \right|\\r &= \sqrt {0 + {{\left( {0.3} \right)}^2}} \\r &= \sqrt {{{\left( {0.3} \right)}^2}} \\r &= 0.3\end{aligned}\)

The scaling factor is \(r = 0.3\).

Find the angle of rotation by using the formula \(\varphi = {\tan ^{ - 1}}\left( {\frac{b}{a}} \right)\).

\(\begin{aligned}{}\varphi &= {\tan ^{ - 1}}\left( {\frac{{ - 0.3}}{0}} \right)\\\varphi &= {\tan ^{ - 1}}\left( { - \infty } \right)\\\varphi &= - \frac{\pi }{2}\end{aligned}\)

Hence the angle of rotation is \(\varphi = - \frac{\pi }{2}\).

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Most popular questions from this chapter

In (a) and (b), suppose the vectors are linearly independent. What can you say about the numbers \(a,....,f\) ? Justify your answers. (Hint: Use a theorem for (b).)

  1. \(\left( {\begin{aligned}{*{20}{c}}a\\0\\0\end{aligned}} \right),\left( {\begin{aligned}{*{20}{c}}b\\c\\d\end{aligned}} \right),\left( {\begin{aligned}{*{20}{c}}d\\e\\f\end{aligned}} \right)\)
  2. \(\left( {\begin{aligned}{*{20}{c}}a\\1\\0\\0\end{aligned}} \right),\left( {\begin{aligned}{*{20}{c}}b\\c\\1\\0\end{aligned}} \right),\left( {\begin{aligned}{*{20}{c}}d\\e\\f\\1\end{aligned}} \right)\)

Let \(T:{\mathbb{R}^n} \to {\mathbb{R}^m}\) be a linear transformation, and suppose \(T\left( u \right) = {\mathop{\rm v}\nolimits} \). Show that \(T\left( { - u} \right) = - {\mathop{\rm v}\nolimits} \).

In Exercises 23 and 24, key statements from this section are either quoted directly, restated slightly (but still true), or altered in some way that makes them false in some cases. Mark each statement True or False, and justify your answer.(If true, give the approximate location where a similar statement appears, or refer to a definition or theorem. If false, give the location of a statement that has been quoted or used incorrectly, or cite an example that shows the statement is not true in all cases.) Similar true/false questions will appear in many sections of the text.

24.

a. Elementary row operations on an augmented matrix never change the solution set of the associated linear system.

b. Two matrices are row equivalent if they have the same number of rows.

c. An inconsistent system has more than one solution.

d. Two linear systems are equivalent if they have the same solution set.

Determine whether the statements that follow are true or false, and justify your answer.

18: [111315171921][-13-1]=[131921]

Write the reduced echelon form of a \(3 \times 3\) matrix A such that the first two columns of Aare pivot columns and

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

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