(2 -5 3. x' = -2,

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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differential equation probelm. Please tell me how to draw a direction field and a phase portrait. I know for this question the phase portrait should looks like circles, I am not clearly how to determine the dimention and etc of this phase portrait. 

### Transcription for Educational Website

#### Problem 3:

\[ 
\mathbf{x'} = \begin{pmatrix} 
2 & -5 \\ 
1 & -2 
\end{pmatrix} \mathbf{x} 
\]

In this problem, the equation represents a transformation of the vector \(\mathbf{x}\) using a 2x2 matrix. The matrix:

\[
\begin{pmatrix} 
2 & -5 \\ 
1 & -2 
\end{pmatrix}
\]

is applied to the vector \(\mathbf{x}\) to produce a new vector \(\mathbf{x'}\). This is an example of a linear transformation in two-dimensional space.

#### Explanation:

- **Matrix Elements**: The matrix consists of two rows and two columns. The elements are as follows:
  - First row: 2, -5
  - Second row: 1, -2

- **Transformation Process**: The transformation involves multiplying each row of the matrix by the vector \(\mathbf{x}\). This results in a new vector, \(\mathbf{x'}\).

This linear transformation can represent various operations such as scaling, rotation, or shearing depending on the matrix values.
Transcribed Image Text:### Transcription for Educational Website #### Problem 3: \[ \mathbf{x'} = \begin{pmatrix} 2 & -5 \\ 1 & -2 \end{pmatrix} \mathbf{x} \] In this problem, the equation represents a transformation of the vector \(\mathbf{x}\) using a 2x2 matrix. The matrix: \[ \begin{pmatrix} 2 & -5 \\ 1 & -2 \end{pmatrix} \] is applied to the vector \(\mathbf{x}\) to produce a new vector \(\mathbf{x'}\). This is an example of a linear transformation in two-dimensional space. #### Explanation: - **Matrix Elements**: The matrix consists of two rows and two columns. The elements are as follows: - First row: 2, -5 - Second row: 1, -2 - **Transformation Process**: The transformation involves multiplying each row of the matrix by the vector \(\mathbf{x}\). This results in a new vector, \(\mathbf{x'}\). This linear transformation can represent various operations such as scaling, rotation, or shearing depending on the matrix values.
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