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

10. \(\left( {\begin{aligned}{}{ - 5}&{}&{ - 5}\\{\,\,5}&{}&{ - 5}\end{aligned}} \right)\)

Short Answer

Expert verified

The angle of rotation is \(\varphi = \frac{{3\pi }}{4}\,{\rm{radians}}\) and the scale factor \(r = 5\sqrt 2 \).

Step by step solution

01

Find the characteristic equation

If \(A\) is a \(n \times n\) matrix, then \(det\left( {A - \lambda I} \right) = 0\), is called the characteristic equation of matrix \(A\).

It is given that\(A = \left( {\begin{aligned}{}{ - 5}&{}&{ - 5}\\5&{}&{ - 5}\end{aligned}} \right)\)and\(I = \left( {\begin{aligned}{}1&{}&0\\0&{}&1\end{aligned}} \right)\)is the identity matrix. Find the matrix\(\left( {A - \lambda I} \right)\)as shown below:

\(\begin{aligned}{}A - \lambda I &= \left( {\begin{aligned}{}{ - 5}&{}&{ - 5}\\5&{}&{ - 5}\end{aligned}} \right) - \lambda \left( {\begin{aligned}{}1&0\\0&1\end{aligned}} \right)\\ &= \left( {\begin{aligned}{}{ - 5 - \lambda }&{}&{ - 5}\\5&{}&{ - 5 - \lambda }\end{aligned}} \right)\end{aligned}\)

Now calculate the determinant of the matrix\(\left( {A - \lambda I} \right)\)as shown below:

\(\begin{aligned}{}det\left( {A - \lambda I} \right) &= det\left( {\begin{aligned}{}{ - 5 - \lambda }&{}&{ - 5}\\5&{}&{ - 5 - \lambda }\end{aligned}} \right)\\ &= \left( { - 5 - \lambda } \right)\left( { - 5 - \lambda } \right) + 25\\ &= {\lambda ^2} - 10\lambda + 50\end{aligned}\)

So, the characteristic equation of the matrix \(A\) is \({\lambda ^2} - 10\lambda + 50 = 0\).

02

Find the Eigenvalues

Thus, the eigenvalues of\(A\)are the solutions of the characteristic equation\(\det \left( {A - \lambda I} \right) = 0\). So, solve the characteristic equation\({\lambda ^2} - 10\lambda + 50 = 0\), as follows:

For the quadratic equation, \(a{x^2} + bx + c = 0\) , the general solution is given as\(x = \frac{{ - b \pm \sqrt {{b^2} - 4ac} \;\;}}{{2a}}\) .

Thus, the solution of the characteristic equation \({\lambda ^2} - 10\lambda + 50 = 0\) is obtained as follows:

\(\begin{aligned}{}{\lambda ^2} - 10\lambda + 50 &= 0\\\lambda &= \frac{{ - \left( {10} \right) \pm \sqrt {{{\left( {10} \right)}^2} - 4\left( {50} \right)} }}{2}\\ &= \frac{{ - 10 \pm \sqrt { - 100} }}{2}\\ &= - 5 \pm 5i\end{aligned}\)

The eigenvalues of \(A\) are \(\lambda = - 5 \pm 5i\) .

03

Find the angle of rotation and scale factor 

For the Eigenvalue,\({\lambda _i} = a \pm bi\), the scale factor is\(r = \left| \lambda \right|\)and the angle of rotation is\(\varphi = {\tan ^{ - 1}}\left( {\frac{b}{a}} \right)\).

For the Eigenvalue\(\lambda = - 5 \pm 5i\), \(\left( {a,b} \right) = \left( {5,5} \right)\). Find the scale factor \(r\) as follows:

\(\begin{aligned}{}r &= \left| \lambda \right|\\ &= \left| { - 5 \pm 5i} \right|\\ &= \sqrt {{{\left( { - 5} \right)}^2} + {{\left( 5 \right)}^2}} \\ &= 5\sqrt 2 \end{aligned}\)

Find the angle of rotation \(\varphi \)as follows:

\(\begin{aligned}{}\phi &= {\tan ^{ - 1}}\left( {\frac{5}{{ - 5}}} \right)\\ &= \frac{{3\pi }}{4}\,{\rm{radians}}\end{aligned}\)

Thus, the angle of rotation is \(\varphi = \frac{{3\pi }}{4}\,{\rm{radians}}\) and the scale factor \(r = 5\sqrt 2 \).

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Most popular questions from this chapter

Question 18: It can be shown that the algebraic multiplicity of an eigenvalue \(\lambda \) is always greater than or equal to the dimension of the eigenspace corresponding to \(\lambda \). Find \(h\) in the matrix \(A\) below such that the eigenspace for \(\lambda = 5\) is two-dimensional:

\[A = \left[ {\begin{array}{*{20}{c}}5&{ - 2}&6&{ - 1}\\0&3&h&0\\0&0&5&4\\0&0&0&1\end{array}} \right]\]

Define \(T:{{\rm P}_2} \to {\mathbb{R}^3}\) by \(T\left( {\bf{p}} \right) = \left( {\begin{aligned}{{\bf{p}}\left( { - 1} \right)}\\{{\bf{p}}\left( 0 \right)}\\{{\bf{p}}\left( 1 \right)}\end{aligned}} \right)\).

  1. Find the image under\(T\)of\({\bf{p}}\left( t \right) = 5 + 3t\).
  2. Show that \(T\) is a linear transformation.
  3. Find the matrix for \(T\) relative to the basis \(\left\{ {1,t,{t^2}} \right\}\)for \({{\rm P}_2}\)and the standard basis for \({\mathbb{R}^3}\).

Consider an invertible n × n matrix A such that the zero state is a stable equilibrium of the dynamical system x→(t+1)=Ax→(t)What can you say about the stability of the systems

x→(t+1)=-Ax→(t)

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: Find the characteristic polynomial and the eigenvalues of the matrices in Exercises 1-8.

4. \(\left[ {\begin{array}{*{20}{c}}5&-3\\-4&3\end{array}} \right]\)

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