where B A = = H (a) Find At -6 rref (A). -1 -2 TATT -1 7 -4 -18 10 9 NAAN -1 1 -3 2 17 (e) Find a basis for the Null(A¹). 6 -26 17 12 (b) Find a basis for the Null(A) = Null(B) (c) Find a basis for the row(A) = row(B) B = (d) Verify that each basis vector of Null(A) is orthogonal to every basis vector for row (A) (f) Find a basis for the row (A) = column(A) [102 1 0 3 0 1 4 -6 0 -1 000 0 1 2 000 0 0 0 (g) Verify that each basis vector of Null(A) is orthogonal to every basis vector for column (A)

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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please naswer this and make sure the writing is understandable. 

Sure, here is the transcription with explanations:

---

Consider the matrices:

\[ A = \begin{bmatrix} 
1 & -1 & -2 & 7 & 1 & 6 \\ 
-6 & 2 & -4 & -18 & -3 & -26 \\ 
4 & -1 & 4 & 10 & 2 & 17 \\ 
3 & -1 & 2 & 9 & 1 & 12 
\end{bmatrix}, \quad 
B = \begin{bmatrix} 
1 & 0 & 2 & 1 & 0 & 3 \\ 
0 & 1 & 4 & -6 & 0 & -1 \\ 
0 & 0 & 0 & 0 & 1 & 2 \\ 
0 & 0 & 0 & 0 & 0 & 0 
\end{bmatrix} \]

where \( B = \text{rref}(A) \).

### Tasks

(a) **Find \( A^t \)**

(b) **Find a basis for the \(\text{Null}(A) = \text{Null}(B)\)**

(c) **Find a basis for the \(\text{row}(A) = \text{row}(B)\)**

(d) **Verify that each basis vector of \(\text{Null}(A)\) is orthogonal to every basis vector for \(\text{row}(A)\)**

(e) **Find a basis for the \(\text{Null}(A^t)\)**

(f) **Find a basis for the \(\text{row}(A^t) \cong \text{column}(A)\)**

(g) **Verify that each basis vector of \(\text{Null}(A^t)\) is orthogonal to every basis vector for \(\text{column}(A)\)**

---

### Explanation

- Matrix \( A \) is a \( 4 \times 6 \) matrix, and matrix \( B \) is the row-reduced echelon form (rref) of \( A \).
- Task (a) involves finding the transpose of matrix \( A \).
- Tasks (b) and (e) focus on finding bases for the null spaces of matrices.
- Tasks (c) and (f) involve finding bases for the row space and proving its equivalence to
Transcribed Image Text:Sure, here is the transcription with explanations: --- Consider the matrices: \[ A = \begin{bmatrix} 1 & -1 & -2 & 7 & 1 & 6 \\ -6 & 2 & -4 & -18 & -3 & -26 \\ 4 & -1 & 4 & 10 & 2 & 17 \\ 3 & -1 & 2 & 9 & 1 & 12 \end{bmatrix}, \quad B = \begin{bmatrix} 1 & 0 & 2 & 1 & 0 & 3 \\ 0 & 1 & 4 & -6 & 0 & -1 \\ 0 & 0 & 0 & 0 & 1 & 2 \\ 0 & 0 & 0 & 0 & 0 & 0 \end{bmatrix} \] where \( B = \text{rref}(A) \). ### Tasks (a) **Find \( A^t \)** (b) **Find a basis for the \(\text{Null}(A) = \text{Null}(B)\)** (c) **Find a basis for the \(\text{row}(A) = \text{row}(B)\)** (d) **Verify that each basis vector of \(\text{Null}(A)\) is orthogonal to every basis vector for \(\text{row}(A)\)** (e) **Find a basis for the \(\text{Null}(A^t)\)** (f) **Find a basis for the \(\text{row}(A^t) \cong \text{column}(A)\)** (g) **Verify that each basis vector of \(\text{Null}(A^t)\) is orthogonal to every basis vector for \(\text{column}(A)\)** --- ### Explanation - Matrix \( A \) is a \( 4 \times 6 \) matrix, and matrix \( B \) is the row-reduced echelon form (rref) of \( A \). - Task (a) involves finding the transpose of matrix \( A \). - Tasks (b) and (e) focus on finding bases for the null spaces of matrices. - Tasks (c) and (f) involve finding bases for the row space and proving its equivalence to
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