Find the general solution using the eigenvalue method: Г1 -2 0] dx 2 5 0x dt 2 1 3

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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**Problem Statement:**

Find the general solution using the eigenvalue method:

\[
\frac{dx}{dt} = 
\begin{bmatrix}
1 & -2 & 0 \\
2 & 5 & 0 \\
2 & 1 & 3 
\end{bmatrix}
x
\]

**Explanation:**

To solve this system of differential equations using the eigenvalue method, one must:

1. Determine the eigenvalues of the matrix.
2. Find the corresponding eigenvectors.
3. Construct the general solution using these eigenvalues and eigenvectors.

**Matrix Analysis:**

The matrix is a 3x3 matrix:

\[
\begin{bmatrix}
1 & -2 & 0 \\
2 & 5 & 0 \\
2 & 1 & 3 
\end{bmatrix}
\]

- The first row is \( [1, -2, 0] \).
- The second row is \( [2, 5, 0] \).
- The third row is \( [2, 1, 3] \).

Each element of the matrix represents a coefficient in the system of linear differential equations. The vector \( x \) represents the state variables of the system that are functions of time, \( t \).

**Steps for Solving:**

1. **Find the Determinant:**
   - Compute the determinant of \( A - \lambda I \) (where \( I \) is the identity matrix) to find the characteristic polynomial.

2. **Solve for Eigenvalues (\( \lambda \)):**
   - Solve the characteristic polynomial for eigenvalues.

3. **Find Eigenvectors:**
   - For each eigenvalue, solve \( (A - \lambda I)v = 0 \) to find the eigenvectors \( v \).

4. **Formulate the General Solution:**
   - Use the solutions of the form \( x(t) = c_1 e^{\lambda_1 t} v_1 + c_2 e^{\lambda_2 t} v_2 + c_3 e^{\lambda_3 t} v_3 \), where \( c_1, c_2, \) and \( c_3 \) are constants determined by initial conditions.

This structured approach will yield the complete general solution to the system given.
Transcribed Image Text:**Problem Statement:** Find the general solution using the eigenvalue method: \[ \frac{dx}{dt} = \begin{bmatrix} 1 & -2 & 0 \\ 2 & 5 & 0 \\ 2 & 1 & 3 \end{bmatrix} x \] **Explanation:** To solve this system of differential equations using the eigenvalue method, one must: 1. Determine the eigenvalues of the matrix. 2. Find the corresponding eigenvectors. 3. Construct the general solution using these eigenvalues and eigenvectors. **Matrix Analysis:** The matrix is a 3x3 matrix: \[ \begin{bmatrix} 1 & -2 & 0 \\ 2 & 5 & 0 \\ 2 & 1 & 3 \end{bmatrix} \] - The first row is \( [1, -2, 0] \). - The second row is \( [2, 5, 0] \). - The third row is \( [2, 1, 3] \). Each element of the matrix represents a coefficient in the system of linear differential equations. The vector \( x \) represents the state variables of the system that are functions of time, \( t \). **Steps for Solving:** 1. **Find the Determinant:** - Compute the determinant of \( A - \lambda I \) (where \( I \) is the identity matrix) to find the characteristic polynomial. 2. **Solve for Eigenvalues (\( \lambda \)):** - Solve the characteristic polynomial for eigenvalues. 3. **Find Eigenvectors:** - For each eigenvalue, solve \( (A - \lambda I)v = 0 \) to find the eigenvectors \( v \). 4. **Formulate the General Solution:** - Use the solutions of the form \( x(t) = c_1 e^{\lambda_1 t} v_1 + c_2 e^{\lambda_2 t} v_2 + c_3 e^{\lambda_3 t} v_3 \), where \( c_1, c_2, \) and \( c_3 \) are constants determined by initial conditions. This structured approach will yield the complete general solution to the system given.
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