What is the dimension of the space spanned by 7. 3 3 1 6. 6 4 8. 0. 12

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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{[6]   ,   [7]   ,   [3]   ,   [3]   ,   [1]   ,   [2]}

{[0]   ,   [0]   ,   [1]   ,   [6]   ,   [2]   ,   [4]}

{[0]   ,   [0]   ,   [0]   ,   [0]   ,   [3]   ,   [6]}

{[0]   ,   [0]   ,   [0]   ,   [0]   ,   [4]   ,   [8]}

{[0]   ,   [0]   ,   [0]   ,   [0]   ,   [5]   ,   [12]}

The image contains the following mathematical problem:

**Question: What is the dimension of the space spanned by the following vectors?**

\[
\left\{
\begin{bmatrix}
6 \\
0 \\
0 \\
0
\end{bmatrix}, 
\begin{bmatrix}
7 \\
0 \\
0 \\
0
\end{bmatrix}, 
\begin{bmatrix}
3 \\
1 \\
0 \\
0
\end{bmatrix}, 
\begin{bmatrix}
3 \\
6 \\
0 \\
0
\end{bmatrix}, 
\begin{bmatrix}
1 \\
2 \\
3 \\
4
\end{bmatrix}, 
\begin{bmatrix}
2 \\
4 \\
6 \\
8
\end{bmatrix}, 
\begin{bmatrix}
5 \\
3 \\
4 \\
5
\end{bmatrix}, 
\begin{bmatrix}
6 \\
8 \\
12 \\
16
\end{bmatrix}
\right\}
\]

Each vector is enclosed in brackets and presented as a column vector. The problem asks for the dimension of the space these vectors span, which typically involves finding the rank of the matrix formed by these vectors.
Transcribed Image Text:The image contains the following mathematical problem: **Question: What is the dimension of the space spanned by the following vectors?** \[ \left\{ \begin{bmatrix} 6 \\ 0 \\ 0 \\ 0 \end{bmatrix}, \begin{bmatrix} 7 \\ 0 \\ 0 \\ 0 \end{bmatrix}, \begin{bmatrix} 3 \\ 1 \\ 0 \\ 0 \end{bmatrix}, \begin{bmatrix} 3 \\ 6 \\ 0 \\ 0 \end{bmatrix}, \begin{bmatrix} 1 \\ 2 \\ 3 \\ 4 \end{bmatrix}, \begin{bmatrix} 2 \\ 4 \\ 6 \\ 8 \end{bmatrix}, \begin{bmatrix} 5 \\ 3 \\ 4 \\ 5 \end{bmatrix}, \begin{bmatrix} 6 \\ 8 \\ 12 \\ 16 \end{bmatrix} \right\} \] Each vector is enclosed in brackets and presented as a column vector. The problem asks for the dimension of the space these vectors span, which typically involves finding the rank of the matrix formed by these vectors.
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