Each of the linear systems has one eigenvalue and one line of eigenvectors. For each system, (a) find the eigenvalue; (b) find an eigenvector; (9 sketch the direction field;

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Chapter2: Second-order Linear Odes
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### Analyzing Linear Systems with Eigenvalues and Eigenvectors

**Problem Overview**

Each of the linear systems below has one eigenvalue and one line of eigenvectors. For each system, you are asked to:

(a) Find the eigenvalue;
(b) Find an eigenvector;
(c) Sketch the direction field;
(d) Sketch the phase portrait, including the solution curve with the initial condition \( Y_0 = \begin{pmatrix} 1 \\ 0 \end{pmatrix} \);
(e) Sketch the \( x(t) \)- and \( y(t) \)-graphs of the solution with the initial condition \( Y_0 = \begin{pmatrix} 1 \\ 0 \end{pmatrix} \).

**Given Linear System**

\[ \frac{dY}{dt} = \begin{pmatrix} 0 & 1 \\ -1 & -2 \end{pmatrix} Y \]

### Steps to Solve

1. **Find the Eigenvalue**  
   Determine the eigenvalue (\(\lambda\)) by solving the characteristic equation derived from the matrix:
   \[ \det(A - \lambda I) = 0 \]
   where
   \[ A = \begin{pmatrix} 0 & 1 \\ -1 & -2 \end{pmatrix} \]
   
2. **Find an Eigenvector**  
   For the eigenvalue found in step 1, determine an associated eigenvector (\(v\)) by solving:
   \[ (A - \lambda I)v = 0 \]

3. **Sketch the Direction Field**  
   Visualize the direction field by plotting the vector field defined by the linear system.

4. **Sketch the Phase Portrait**  
   Include the solution curve for the initial condition \( Y_0 = \begin{pmatrix} 1 \\ 0 \end{pmatrix} \). The phase portrait displays the trajectories of the system in the phase plane.

5. **Sketch the \( x(t) \)- and \( y(t) \)-graphs**  
   Plot the time-dependent solutions \(x(t)\) and \(y(t)\) by solving the system of differential equations with the given initial condition.

**Description of Graphs and Diagrams**

- **Direction Field**: A plot of vectors representing the direction and magnitude of the rate of change of \( Y \) at various points in the phase space.
Transcribed Image Text:### Analyzing Linear Systems with Eigenvalues and Eigenvectors **Problem Overview** Each of the linear systems below has one eigenvalue and one line of eigenvectors. For each system, you are asked to: (a) Find the eigenvalue; (b) Find an eigenvector; (c) Sketch the direction field; (d) Sketch the phase portrait, including the solution curve with the initial condition \( Y_0 = \begin{pmatrix} 1 \\ 0 \end{pmatrix} \); (e) Sketch the \( x(t) \)- and \( y(t) \)-graphs of the solution with the initial condition \( Y_0 = \begin{pmatrix} 1 \\ 0 \end{pmatrix} \). **Given Linear System** \[ \frac{dY}{dt} = \begin{pmatrix} 0 & 1 \\ -1 & -2 \end{pmatrix} Y \] ### Steps to Solve 1. **Find the Eigenvalue** Determine the eigenvalue (\(\lambda\)) by solving the characteristic equation derived from the matrix: \[ \det(A - \lambda I) = 0 \] where \[ A = \begin{pmatrix} 0 & 1 \\ -1 & -2 \end{pmatrix} \] 2. **Find an Eigenvector** For the eigenvalue found in step 1, determine an associated eigenvector (\(v\)) by solving: \[ (A - \lambda I)v = 0 \] 3. **Sketch the Direction Field** Visualize the direction field by plotting the vector field defined by the linear system. 4. **Sketch the Phase Portrait** Include the solution curve for the initial condition \( Y_0 = \begin{pmatrix} 1 \\ 0 \end{pmatrix} \). The phase portrait displays the trajectories of the system in the phase plane. 5. **Sketch the \( x(t) \)- and \( y(t) \)-graphs** Plot the time-dependent solutions \(x(t)\) and \(y(t)\) by solving the system of differential equations with the given initial condition. **Description of Graphs and Diagrams** - **Direction Field**: A plot of vectors representing the direction and magnitude of the rate of change of \( Y \) at various points in the phase space.
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