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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\(r\).

8).\(\left( {\begin{aligned}{}{\sqrt 3 }&{}&3\\{ - 3}&{}&{\,\sqrt 3 }\end{aligned}} \right)\)

Short Answer

Expert verified

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

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\(A = \left( {\begin{aligned}{}{\sqrt 3 }&{}&3\\{ - 3}&{}&{\,\,\sqrt 3 }\end{aligned}} \right)\)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:

\(\begin{aligned}{}A - \lambda I = A &= \left( {\begin{aligned}{}{\sqrt 3 }&{}&3\\{ - 3}&{}&{\,\,\sqrt 3 }\end{aligned}} \right) - \lambda \left( {\begin{aligned}{}1&{}&0\\0&{}&1\end{aligned}} \right)\\ &= \left( {\begin{aligned}{}{\sqrt 3 - \lambda }&{}&3\\{ - 3}&{}&{\sqrt 3 - \lambda }\end{aligned}} \right)\end{aligned}\)

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

\(\begin{aligned}{}det\left( {A - \lambda I} \right) &= det\left( {\begin{aligned}{}{\sqrt 3 - \lambda }&{}&3\\{ - 3}&{}&{\sqrt 3 - \lambda }\end{aligned}} \right)\\ &= \left( {\sqrt 3 - \lambda } \right)\left( {\sqrt 3 - \lambda } \right) + 9\\ &= {\lambda ^2} - 2\sqrt 3 \lambda + 12\end{aligned}\)

So, the characteristic equation of the matrix \(A\) is \({\lambda ^2} - 2\sqrt 3 \lambda + 12 = 0\).

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\({\lambda ^2} - 2\sqrt 3 \lambda + 12\), 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 \({\lambda ^2} - 2\sqrt 3 \lambda + 12\) is obtained as follows:

\(\begin{aligned}{}{\lambda ^2} - 2\sqrt 3 \lambda + 12 &= 0\\\lambda &= \frac{{ - \left( { - 2\sqrt 3 } \right) \pm \sqrt {{{\left( { - 2\sqrt 3 } \right)}^2} - 4\left( {12} \right)} }}{2}\\ &= \frac{{2\sqrt 3 \pm \sqrt { - 36} }}{2}\\& = \sqrt 3 \pm 3i\end{aligned}\)

The eigenvalues of \(A\) are \(\lambda = \sqrt 3 \pm 3i\) .

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 \(\lambda = \sqrt 3 \pm i\), \(\left( {a,b} \right) = \left( {\sqrt 3 ,\,3} \right)\). Find the scale factor \(r\) as follows:

\(\begin{aligned}{}r &= \left| \lambda \right|\\ &= \left| {\sqrt 3 \pm 3i} \right|\\ &= \sqrt {{{\left( {\sqrt 3 } \right)}^2} + {3^2}} \\ &= 2\sqrt 3 \end{aligned}\)

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

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

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

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Most popular questions from this chapter

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)=A-1x→(t)

Exercises 19–23 concern the polynomial \(p\left( t \right) = {a_{\bf{0}}} + {a_{\bf{1}}}t + ... + {a_{n - {\bf{1}}}}{t^{n - {\bf{1}}}} + {t^n}\) and \(n \times n\) matrix \({C_p}\) called the companion matrix of \(p\): \({C_p} = \left( {\begin{aligned}{*{20}{c}}{\bf{0}}&{\bf{1}}&{\bf{0}}&{...}&{\bf{0}}\\{\bf{0}}&{\bf{0}}&{\bf{1}}&{}&{\bf{0}}\\:&{}&{}&{}&:\\{\bf{0}}&{\bf{0}}&{\bf{0}}&{}&{\bf{1}}\\{ - {a_{\bf{0}}}}&{ - {a_{\bf{1}}}}&{ - {a_{\bf{2}}}}&{...}&{ - {a_{n - {\bf{1}}}}}\end{aligned}} \right)\).

19. Write the companion matrix \({C_p}\) for \(p\left( t \right) = {\bf{6}} - {\bf{5}}t + {t^{\bf{2}}}\), and then find the characteristic polynomial of \({C_p}\).

Let\(T:{{\rm P}_2} \to {{\rm P}_3}\) be a linear transformation that maps a polynomial \({\bf{p}}\left( t \right)\) into the polynomial \(\left( {t + 5} \right){\bf{p}}\left( t \right)\).

  1. Find the image of\({\bf{p}}\left( t \right) = 2 - t + {t^2}\).
  2. Show that \(T\) is a linear transformation.
  3. Find the matrix for \(T\) relative to the bases \(\left\{ {1,t,{t^2}} \right\}\) and \(\left\{ {1,t,{t^2},{t^3}} \right\}\).

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

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

Let\(G = \left( {\begin{aligned}{*{20}{c}}A&X\\{\bf{0}}&B\end{aligned}} \right)\). Use formula\(\left( {\bf{1}} \right)\)for the determinant in section\({\bf{5}}{\bf{.2}}\)to explain why\(\det G = \left( {\det A} \right)\left( {\det B} \right)\). From this, deduce that the characteristic polynomial of\(G\)is the product of the characteristic polynomials of\(A\)and\(B\).

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