Find a basis for the space spanned by the given vectors. 1 2 6. 4 - 1 -2 - 1 2 4 2 - 2 || -2 1 -7 - 3 A basis for the space spanned by the given vectors is (Use a comma to separate answers as needed.)

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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**Find a Basis for the Space Spanned by the Given Vectors**

Given vectors:
\[ 
\begin{bmatrix} 
1 \\ 
0 \\ 
0 \\ 
1 
\end{bmatrix},
\begin{bmatrix} 
2 \\ 
0 \\ 
0 \\ 
-2 
\end{bmatrix},
\begin{bmatrix} 
3 \\ 
-1 \\ 
2 \\ 
-2 
\end{bmatrix},
\begin{bmatrix} 
6 \\ 
-2 \\ 
4 \\ 
-7 
\end{bmatrix},
\begin{bmatrix} 
4 \\ 
-1 \\ 
2 \\ 
-3 
\end{bmatrix}
\]

*A basis for the space spanned by the given vectors is ______. (Use a comma to separate answers as needed.)*

**Explanation:**

To find a basis for the space spanned by these vectors, one must determine which vectors are linearly independent. Typically, this involves forming a matrix with these vectors as columns and performing row reduction to find the pivot columns. The vectors corresponding to the pivot columns form a basis.

The process involves:

1. **Matrix Formation**: Arrange the vectors in a matrix.
2. **Row Reduction**: Use Gaussian elimination to reduce the matrix to row-echelon form.
3. **Identify Pivot Columns**: Determine the columns that contain leading ones.
4. **Select Basis Vectors**: Choose vectors corresponding to the pivot columns as the basis for the space.

This process results in a set of linearly independent vectors that span the same space as the original set.
Transcribed Image Text:**Find a Basis for the Space Spanned by the Given Vectors** Given vectors: \[ \begin{bmatrix} 1 \\ 0 \\ 0 \\ 1 \end{bmatrix}, \begin{bmatrix} 2 \\ 0 \\ 0 \\ -2 \end{bmatrix}, \begin{bmatrix} 3 \\ -1 \\ 2 \\ -2 \end{bmatrix}, \begin{bmatrix} 6 \\ -2 \\ 4 \\ -7 \end{bmatrix}, \begin{bmatrix} 4 \\ -1 \\ 2 \\ -3 \end{bmatrix} \] *A basis for the space spanned by the given vectors is ______. (Use a comma to separate answers as needed.)* **Explanation:** To find a basis for the space spanned by these vectors, one must determine which vectors are linearly independent. Typically, this involves forming a matrix with these vectors as columns and performing row reduction to find the pivot columns. The vectors corresponding to the pivot columns form a basis. The process involves: 1. **Matrix Formation**: Arrange the vectors in a matrix. 2. **Row Reduction**: Use Gaussian elimination to reduce the matrix to row-echelon form. 3. **Identify Pivot Columns**: Determine the columns that contain leading ones. 4. **Select Basis Vectors**: Choose vectors corresponding to the pivot columns as the basis for the space. This process results in a set of linearly independent vectors that span the same space as the original set.
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