Suppose a subspace is spanned by the set of vectors shown. Find a basis for the subspace, using the method of transforming a matrix to echelon form, where the rows of the matrix represent vectors spanning the subspace. (0-1²4]} (88) What is the dimension of the subspace?

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Chapter2: Second-order Linear Odes
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Suppose a subspace is spanned by the set of vectors shown. Find a basis for the subspace, using the method of transforming a matrix to echelon form, where the rows of the matrix represent vectors spanning the subspace.

\[
\left\{ 
\begin{bmatrix} 
7 \\ 
9 
\end{bmatrix}, 
\begin{bmatrix} 
21 \\ 
-2 
\end{bmatrix}
\right\} 
\cdot 
\begin{bmatrix}
[ \quad {} \quad ] \\
[ \quad {} \quad ]
\end{bmatrix}
\]

What is the dimension of the subspace?

**Explanation:**
- The set consists of two vectors: \(\begin{bmatrix} 7 \\ 9 \end{bmatrix}\) and \(\begin{bmatrix} 21 \\ -2 \end{bmatrix}\).
- To find a basis, form a matrix with these vectors as rows and transform it to echelon form.
- Determine the pivot positions in the matrix to identify the basis vectors.
- The dimension of the subspace is the number of pivot positions, representing the number of linearly independent vectors in the set.
Transcribed Image Text:Suppose a subspace is spanned by the set of vectors shown. Find a basis for the subspace, using the method of transforming a matrix to echelon form, where the rows of the matrix represent vectors spanning the subspace. \[ \left\{ \begin{bmatrix} 7 \\ 9 \end{bmatrix}, \begin{bmatrix} 21 \\ -2 \end{bmatrix} \right\} \cdot \begin{bmatrix} [ \quad {} \quad ] \\ [ \quad {} \quad ] \end{bmatrix} \] What is the dimension of the subspace? **Explanation:** - The set consists of two vectors: \(\begin{bmatrix} 7 \\ 9 \end{bmatrix}\) and \(\begin{bmatrix} 21 \\ -2 \end{bmatrix}\). - To find a basis, form a matrix with these vectors as rows and transform it to echelon form. - Determine the pivot positions in the matrix to identify the basis vectors. - The dimension of the subspace is the number of pivot positions, representing the number of linearly independent vectors in the set.
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