(a) compute the eigenvalues; (b) for each eigenvalue, compute the associated eigenvectors; () using HPGSystemSolver, sketch the direction field for the system, and plot the straight-line solutions;

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### Differential Systems: Eigenvalues and Eigenvectors

To understand the stability and behavior of linear dynamical systems, it's essential to analyze their eigenvalues and eigenvectors. Let’s explore the process and implications for a given system. 

Consider the linear system expressed as:

\[ \frac{dY}{dt} = \begin{pmatrix} -4 & -2 \\ -1 & -3 \end{pmatrix} Y \]

### Steps to Analyze the System:

(a) **Compute the Eigenvalues:**
   - Determine the eigenvalues \(\lambda\) by solving the characteristic equation:
     \[
     \text{det}(A - \lambda I) = 0
     \]
     where \(A\) is the matrix 
     \[
     \begin{pmatrix} -4 & -2 \\ -1 & -3 \end{pmatrix}
     \]
     and \(I\) is the identity matrix.

(b) **Compute the Associated Eigenvectors for Each Eigenvalue:**
   - For each eigenvalue \(\lambda\), solve the equation 
     \[
     (A - \lambda I) \vec{v} = 0
     \]
     to find the eigenvector \(\vec{v}\).

(c) **Sketch the Direction Field Using HPGSystemSolver and Plot Straight-Line Solutions:**
   - Utilize software tools like HPGSystemSolver to sketch the direction field.
   - Plot the straight-line solutions in the direction field for graphical interpretation.

(d) **Specify a Corresponding Straight-Line Solution and Plot \(x(t)\) and \(y(t)\) Graphs:**
   - For each eigenvalue, determine a specific straight-line solution.
   - Plot the trajectories \(x(t)\) and \(y(t)\) over time.

(e) **Compute the General Solution if the System has Two Distinct Eigenvalues:**
   - Assuming distinct eigenvalues, the general solution can be represented as a linear combination of the solutions associated with each eigenvalue and eigenvector pair.

These steps will guide you through the process of analyzing the given linear system and understanding its behavior through eigenvalues and eigenvectors. 

This approach is crucial in various fields such as physics, engineering, and economics for stability analysis and understanding long-term behavior of dynamical systems.
Transcribed Image Text:### Differential Systems: Eigenvalues and Eigenvectors To understand the stability and behavior of linear dynamical systems, it's essential to analyze their eigenvalues and eigenvectors. Let’s explore the process and implications for a given system. Consider the linear system expressed as: \[ \frac{dY}{dt} = \begin{pmatrix} -4 & -2 \\ -1 & -3 \end{pmatrix} Y \] ### Steps to Analyze the System: (a) **Compute the Eigenvalues:** - Determine the eigenvalues \(\lambda\) by solving the characteristic equation: \[ \text{det}(A - \lambda I) = 0 \] where \(A\) is the matrix \[ \begin{pmatrix} -4 & -2 \\ -1 & -3 \end{pmatrix} \] and \(I\) is the identity matrix. (b) **Compute the Associated Eigenvectors for Each Eigenvalue:** - For each eigenvalue \(\lambda\), solve the equation \[ (A - \lambda I) \vec{v} = 0 \] to find the eigenvector \(\vec{v}\). (c) **Sketch the Direction Field Using HPGSystemSolver and Plot Straight-Line Solutions:** - Utilize software tools like HPGSystemSolver to sketch the direction field. - Plot the straight-line solutions in the direction field for graphical interpretation. (d) **Specify a Corresponding Straight-Line Solution and Plot \(x(t)\) and \(y(t)\) Graphs:** - For each eigenvalue, determine a specific straight-line solution. - Plot the trajectories \(x(t)\) and \(y(t)\) over time. (e) **Compute the General Solution if the System has Two Distinct Eigenvalues:** - Assuming distinct eigenvalues, the general solution can be represented as a linear combination of the solutions associated with each eigenvalue and eigenvector pair. These steps will guide you through the process of analyzing the given linear system and understanding its behavior through eigenvalues and eigenvectors. This approach is crucial in various fields such as physics, engineering, and economics for stability analysis and understanding long-term behavior of dynamical systems.
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