Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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### Educational Content: Solution of Ax = 0 in Parametric Vector Form

#### Problem Statement
Describe all solutions of \( Ax = 0 \) in parametric vector form, where \( A \) is row equivalent to the given matrix:

\[
\begin{bmatrix}
1 & 3 & -4 & 7 \\
0 & 1 & -2 & 4 
\end{bmatrix}
\]

#### Parametric Vector Form
The solution \( x \) is expressed as:

\[ 
x = x_3 
\begin{bmatrix} 
\_ \\ 
\_ \\ 
\_ \\ 
\_ 
\end{bmatrix} 
+ x_4
\begin{bmatrix} 
\_ \\ 
\_ \\ 
\_ \\ 
\_ 
\end{bmatrix} 
\]

**Note**: The blanks in the vector representation should be filled with integers or fractions derived from solving the equations generated by the matrix.

#### Instructions
To complete the solution, substitute the appropriate values for each component of the vectors by solving the system of equations denoted by the matrix.

This activity involves:
- Identifying free variables (typically \( x_3 \) and \( x_4 \) in this case).
- Expressing each dependent variable in terms of the free variables.
- Writing down the general solution in parametric vector form.

#### Concept Explanation
In this exercise, we are dealing with a system of linear equations represented in matrix form. The goal is to find all possible solutions, expressed in a concise vector form, of the homogeneous equation \( Ax = 0 \). Here, \( A \) has been row-reduced, simplifying the process of finding these solutions.

This method is integral in linear algebra, allowing for a comprehensive understanding of solution spaces and the behavior of linear transformations.
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Transcribed Image Text:### Educational Content: Solution of Ax = 0 in Parametric Vector Form #### Problem Statement Describe all solutions of \( Ax = 0 \) in parametric vector form, where \( A \) is row equivalent to the given matrix: \[ \begin{bmatrix} 1 & 3 & -4 & 7 \\ 0 & 1 & -2 & 4 \end{bmatrix} \] #### Parametric Vector Form The solution \( x \) is expressed as: \[ x = x_3 \begin{bmatrix} \_ \\ \_ \\ \_ \\ \_ \end{bmatrix} + x_4 \begin{bmatrix} \_ \\ \_ \\ \_ \\ \_ \end{bmatrix} \] **Note**: The blanks in the vector representation should be filled with integers or fractions derived from solving the equations generated by the matrix. #### Instructions To complete the solution, substitute the appropriate values for each component of the vectors by solving the system of equations denoted by the matrix. This activity involves: - Identifying free variables (typically \( x_3 \) and \( x_4 \) in this case). - Expressing each dependent variable in terms of the free variables. - Writing down the general solution in parametric vector form. #### Concept Explanation In this exercise, we are dealing with a system of linear equations represented in matrix form. The goal is to find all possible solutions, expressed in a concise vector form, of the homogeneous equation \( Ax = 0 \). Here, \( A \) has been row-reduced, simplifying the process of finding these solutions. This method is integral in linear algebra, allowing for a comprehensive understanding of solution spaces and the behavior of linear transformations.
Expert Solution
Check Mark
Step 1

Consider the given matrix as,

13-4701-24

Now this matrix can be write in the form of Ax=0

13-4701-242×4x1x2x3x44×1=002×1

 

 

 

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