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Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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![Suppose **a₁**, **a₂**, **a₃**, **a₄**, and **a₅** are vectors in ℝ³. Let \( A = (\mathbf{a₁} \mid \mathbf{a₂} \mid \mathbf{a₃} \mid \mathbf{a₄} \mid \mathbf{a₅}) \), and
\[
\text{rref}(A) =
\begin{bmatrix}
1 & 0 & 0 & -5 & 4 \\
0 & 1 & 0 & -2 & 2 \\
0 & 0 & 1 & 1 & 1
\end{bmatrix}
\]
### Explanation of the Diagram:
The matrix shown is in reduced row echelon form (rref), which is a form of a matrix used to solve linear equations. Each row corresponds to a linear equation, and the matrix representation helps identify the relationships and dependencies among the vectors \( \mathbf{a₁}, \mathbf{a₂}, \mathbf{a₃}, \mathbf{a₄}, \) and \( \mathbf{a₅} \).
- The first row indicates \( 1x₁ + 0x₂ + 0x₃ = -5x₄ + 4x₅ \).
- The second row shows \( 0x₁ + 1x₂ + 0x₃ = -2x₄ + 2x₅ \).
- The third row presents \( 0x₁ + 0x₂ + 1x₃ = 1x₄ + 1x₅ \).
The zeros in each row highlight the pivots, and the non-zero entries on the right specify relationships between the respective vectors \( \mathbf{a₄} \) and \( \mathbf{a₅} \).](https://content.bartleby.com/qna-images/question/0e989a36-a976-4f9a-8f93-2801096d9bdd/435b1ee3-b81e-445a-af05-20e014ebbb4f/4xgu6s_thumbnail.png)
Transcribed Image Text:Suppose **a₁**, **a₂**, **a₃**, **a₄**, and **a₅** are vectors in ℝ³. Let \( A = (\mathbf{a₁} \mid \mathbf{a₂} \mid \mathbf{a₃} \mid \mathbf{a₄} \mid \mathbf{a₅}) \), and
\[
\text{rref}(A) =
\begin{bmatrix}
1 & 0 & 0 & -5 & 4 \\
0 & 1 & 0 & -2 & 2 \\
0 & 0 & 1 & 1 & 1
\end{bmatrix}
\]
### Explanation of the Diagram:
The matrix shown is in reduced row echelon form (rref), which is a form of a matrix used to solve linear equations. Each row corresponds to a linear equation, and the matrix representation helps identify the relationships and dependencies among the vectors \( \mathbf{a₁}, \mathbf{a₂}, \mathbf{a₃}, \mathbf{a₄}, \) and \( \mathbf{a₅} \).
- The first row indicates \( 1x₁ + 0x₂ + 0x₃ = -5x₄ + 4x₅ \).
- The second row shows \( 0x₁ + 1x₂ + 0x₃ = -2x₄ + 2x₅ \).
- The third row presents \( 0x₁ + 0x₂ + 1x₃ = 1x₄ + 1x₅ \).
The zeros in each row highlight the pivots, and the non-zero entries on the right specify relationships between the respective vectors \( \mathbf{a₄} \) and \( \mathbf{a₅} \).

Transcribed Image Text:d. Find a basis for the column space of \( A \). If necessary, enter \(\mathbf{a_1}\) for \(\mathbf{a_1}\), etc., or enter coordinate vectors of the form \(\langle 1, 2, 3 \rangle\) or \(\langle 1, 2, 3, 4, 5 \rangle\). Enter your answer as a comma-separated list of vectors.
A basis for the column space of \( A \) is \(\{\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\}\).
e. The dimension of the null space of \( A \) is \(\_\_\_\_\_\), and the null space of \( A \) is a subspace of \(\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\).
f. If \(\mathbf{x_1} = \langle 5, 2, -1, 1, 0 \rangle\), then \(A\mathbf{x_1} = \_\_\_\_\_\_\_\_\_\_\_\_\_\). Is \(\mathbf{x_1}\) in the null space of \( A \)? \(\text{choose}\)
g. If \(\mathbf{x_2} = \langle -4, -2, -1, 0, 1 \rangle\), then \(A\mathbf{x_2} = \_\_\_\_\_\_\_\_\_\_\_\_\_\). Is \(\mathbf{x_2}\) in the null space of \( A \)? \(\text{choose}\)
h. If \(\mathbf{x_3} = 3\mathbf{x_2} - 4\mathbf{x_1} = \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_,\) then \(A\mathbf{x_3} = \_\_\_\_\_\_\_\_\_\_\_\_\_\). Is \(\mathbf{x_3}\) in the null space of \( A \)? \(\text{choose}\)
i. Find a basis for the null space of \( A \). If necessary, enter \(\mathbf{a_1}\) for \(\
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