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Find all eigenvalues and eigenvectors of the given matrix. $$ \left(\begin{array}{cc}{1} & {\sqrt{3}} \\ {\sqrt{3}} & {-1}\end{array}\right) $$

Short Answer

Expert verified
A: The eigenvalues can be found by solving the characteristic equation: λ₁ = 0 and λ₂ = 2. The corresponding eigenvectors can be found by solving the system of linear equations: For λ₁ = 0, the eigenvector x₁ = (1/2)(1, -√3)ᵀ For λ₂ = 2, the eigenvector x₂ = (1/2)(1, √3)ᵀ

Step by step solution

01

Write down the given matrix

First, let's write down the given matrix A: $$ A=\left(\begin{array}{cc}{1} & {\sqrt{3}} \\\ {\sqrt{3}} & {-1}\end{array}\right) $$
02

Find the characteristic equation for the eigenvalues

The characteristic equation can be found by evaluating the determinant of \((A-\lambda I)\), denoted by \(|A-\lambda I|\), where \(\lambda\) is an eigenvalue, and \(I\) is the identity matrix. For given matrix A: $$ |A-\lambda I|=| \begin{pmatrix} 1-\lambda & \sqrt{3} \\ \sqrt{3} & -1 - \lambda \end{pmatrix} | = (1-\lambda)(-1-\lambda)-(\sqrt{3})^2 $$
03

Solve the characteristic equation

Next, let's solve the characteristic equation: $$ (1-\lambda)(-1-\lambda)-3=-(\lambda^2-2\lambda) $$ Solving the above quadratic equation, we get two eigenvalues: $$ \lambda_1=0, \: \lambda_2=2 $$
04

Find the eigenvectors for each eigenvalue

For each eigenvalue, let's find the eigenvectors by solving the following system of linear equations \((A-\lambda_i I)x=0\). For \(\lambda_1=0\), \((A-\lambda_1 I)x=0\) becomes: $$ A x = \left(\begin{array}{cc}{1} & {\sqrt{3}} \\\ {\sqrt{3}} & {-1}\end{array}\right) \begin{pmatrix} x_1 \\ x_2 \end{pmatrix} =0 $$ Solving the above system, we get the eigenvector for \(\lambda_1\): $$ x_{1} = \frac{1}{2} \begin{pmatrix} 1 \\ -\sqrt{3} \end{pmatrix} $$ For \(\lambda_2=2\), \((A-\lambda_2 I)x=0\) becomes: $$ (A-\lambda_2 I)x = \left(\begin{array}{cc}{-1} & {\sqrt{3}} \\\ {\sqrt{3}} & {-3}\end{array}\right) \begin{pmatrix} x_3 \\ x_4 \end{pmatrix} =0 $$ Solving this system of equations, we get the eigenvector for \(\lambda_2\): $$ x_{2} = \frac{1}{2} \begin{pmatrix} 1 \\ \sqrt{3} \end{pmatrix} $$
05

State the final solution

The eigenvalues and corresponding eigenvectors for the given matrix are: $$ \lambda_{1} = 0, \: x_{1} = \frac{1}{2} \begin{pmatrix} 1 \\ -\sqrt{3} \end{pmatrix} $$ and $$ \lambda_{2} = 2, \: x_{2} = \frac{1}{2} \begin{pmatrix} 1 \\ \sqrt{3} \end{pmatrix} $$

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Most popular questions from this chapter

Let \(\mathbf{J}=\left(\begin{array}{cc}{\lambda} & {1} \\ {0} & {\lambda}\end{array}\right),\) where \(\lambda\) is an arbitrary real number. (a) Find \(\mathbf{J}^{2}, \mathbf{J}^{3},\) and \(\mathbf{J}^{4}\) (b) Use an inductive argument to show that \(\mathbf{J}^{n}=\left(\begin{array}{cc}{\lambda^{n}} & {n \lambda^{n-1}} \\\ {0} & {\lambda^{n}}\end{array}\right)\) (c) Determine exp(Jt). (d) Use exp(Jt) to solve the initial value problem \(\mathbf{x}^{\prime}=\mathbf{J x}, \mathbf{x}(0)=\mathbf{x}^{0}\)

In each of Problems 13 through 20 the coefficient matrix contains a parameter \(\alpha\). In each of these problems: (a) Determine the eigervalues in terms of \(\alpha\). (b) Find the critical value or values of \(\alpha\) where the qualitative nature of the phase portrait for the system changes. (c) Draw a phase portrait for a value of \(\alpha\) slightly below, and for another value slightly above, each crititical value. $$ \mathbf{x}^{\prime}=\left(\begin{array}{rr}{\alpha} & {1} \\ {-1} & {\alpha}\end{array}\right) \mathbf{x} $$

Find the general solution of the given system of equations. $$ \mathbf{x}^{\prime}=\left(\begin{array}{ll}{2} & {-1} \\ {3} & {-2}\end{array}\right) \mathbf{x}+\left(\begin{array}{l}{e^{t}} \\\ {t}\end{array}\right) $$

find a fundamental matrix for the given system of equations. In each case also find the fundamental matrix \(\mathbf{\Phi}(t)\) satisfying \(\Phi(0)=\mathbf{1}\) $$ \mathbf{x}^{\prime}=\left(\begin{array}{ll}{2} & {-1} \\ {3} & {-2}\end{array}\right) \mathbf{x} $$

Verify that the given vector is the general solution of the corresponding homogeneous system, and then solve the non-homogeneous system. Assume that \(t>0 .\) $$ t \mathbf{x}^{\prime}=\left(\begin{array}{cc}{2} & {-1} \\ {3} & {-2}\end{array}\right) \mathbf{x}+\left(\begin{array}{c}{1-t^{2}} \\ {2 t}\end{array}\right), \quad \mathbf{x}^{(t)}=c_{1}\left(\begin{array}{c}{1} \\\ {1}\end{array}\right) t+c_{2}\left(\begin{array}{c}{1} \\\ {3}\end{array}\right) t^{-1} $$

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