Construct a matrix A for which the nullspace is the set of all linear combinations of 6. 8 1 and 1 3

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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**Task: Construct a Matrix with a Given Nullspace**

**Objective:** Construct a matrix \( A \) for which the nullspace is the set of all linear combinations of the vectors:

\[
\begin{bmatrix} 
6 \\ 
1 \\ 
0 \\ 
3 
\end{bmatrix}
\]

and

\[
\begin{bmatrix} 
8 \\ 
0 \\ 
1 \\ 
2 
\end{bmatrix}
\]

**Explanation:**

You are tasked with finding a matrix \( A \) such that any linear combination of the given vectors results in a vector in the nullspace of \( A \). The nullspace of \( A \) is the set of all vectors \( \mathbf{v} \) such that \( A\mathbf{v} = \mathbf{0} \).

**Steps to Solve:**

1. **Identify the Nullspace Vectors:** The vectors given are

   \[
   \mathbf{v_1} = \begin{bmatrix} 6 \\ 1 \\ 0 \\ 3 \end{bmatrix}, \quad 
   \mathbf{v_2} = \begin{bmatrix} 8 \\ 0 \\ 1 \\ 2 \end{bmatrix}
   \]

2. **Form the Nullspace Matrix:** Create a matrix \( N \) where these vectors are the columns:

   \[
   N = \begin{bmatrix} 
   6 & 8 \\ 
   1 & 0 \\ 
   0 & 1 \\ 
   3 & 2 
   \end{bmatrix}
   \]

3. **Determine \( A \):** To find matrix \( A \), ensure that \( N \) is in the nullspace, i.e., \( AN = 0 \). This typically involves finding a matrix \( A \) such that each column of \( N \) is mapped to the zero vector.

Using the nullspace properties, you may use Gaussian elimination or other methods to derive \( A \).

In this context, your task is to derive such a matrix \( A \), ensuring your logic matches the conditions of the problem, i.e., the nullspace is spanned by \(\mathbf{v_1}\) and \(\mathbf{v_2}\).
Transcribed Image Text:**Task: Construct a Matrix with a Given Nullspace** **Objective:** Construct a matrix \( A \) for which the nullspace is the set of all linear combinations of the vectors: \[ \begin{bmatrix} 6 \\ 1 \\ 0 \\ 3 \end{bmatrix} \] and \[ \begin{bmatrix} 8 \\ 0 \\ 1 \\ 2 \end{bmatrix} \] **Explanation:** You are tasked with finding a matrix \( A \) such that any linear combination of the given vectors results in a vector in the nullspace of \( A \). The nullspace of \( A \) is the set of all vectors \( \mathbf{v} \) such that \( A\mathbf{v} = \mathbf{0} \). **Steps to Solve:** 1. **Identify the Nullspace Vectors:** The vectors given are \[ \mathbf{v_1} = \begin{bmatrix} 6 \\ 1 \\ 0 \\ 3 \end{bmatrix}, \quad \mathbf{v_2} = \begin{bmatrix} 8 \\ 0 \\ 1 \\ 2 \end{bmatrix} \] 2. **Form the Nullspace Matrix:** Create a matrix \( N \) where these vectors are the columns: \[ N = \begin{bmatrix} 6 & 8 \\ 1 & 0 \\ 0 & 1 \\ 3 & 2 \end{bmatrix} \] 3. **Determine \( A \):** To find matrix \( A \), ensure that \( N \) is in the nullspace, i.e., \( AN = 0 \). This typically involves finding a matrix \( A \) such that each column of \( N \) is mapped to the zero vector. Using the nullspace properties, you may use Gaussian elimination or other methods to derive \( A \). In this context, your task is to derive such a matrix \( A \), ensuring your logic matches the conditions of the problem, i.e., the nullspace is spanned by \(\mathbf{v_1}\) and \(\mathbf{v_2}\).
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