Determine if the columns of the matrix form a linearly independent set. Justify your answer. Select the correct choice below and fill in the answer box within your choice. (Type an integer or simplified fraction for each matrix element.) O A. If A is the given matrix, then the augmented matrix -4 -3 0-1 1 2 1 1 reduced echelon form of this matrix indicates that Ax = 0 has only the trivial solution. Therefore, the columns of A form a linearly independent set. 0 6 -6 - 12 represents the equation Ax = 0. The O B. IfA is the given matrix, then the augmented matrix represents the equation Ax = 0. The reduced echelon form of this matrix indicates that Ax=0 has more than one solution. Therefore, the columns of A form a linearly independent set. OC. If A is the given matrix, then the augmented matrix represents the equation Ax = 0. The reduced echelon form of this matrix indicates that Ax=0 has more than one solution. Therefore, the columns of A do not form a linearly independent set. O D. If A is the given matrix, then the augmented matrix represents the equation Ax=0. The reduced echelon form of this matrix indicates that Ax=0 has only the trivial solution. Therefore, the columns of A

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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### Linear Independence of Matrix Columns

#### Determine if the columns of the matrix form a linearly independent set. Justify your answer.

Given Matrix:
\[ 
\begin{pmatrix}
-4 & -3 & 0 \\
0 & -1 & 6 \\
1 & 1 & -6 \\
2 & 1 & -12 \\
\end{pmatrix}
\]

---

#### Explanation:

To determine if the columns of the matrix form a linearly independent set, we need to ascertain whether the equation \(Ax = 0\) has only the trivial solution (i.e., \(x = 0\)).

---

#### Multiple Choice Question:

Select the correct choice below and fill in the answer box within your choice. 
(Type an integer or simplified fraction for each matrix element.)

---

**A.**

If \(A\) is the given matrix, then the augmented matrix 
\[ 
\begin{pmatrix}
\boxed{} & \boxed{} & \boxed{} \\
\boxed{} & \boxed{} & \boxed{} \\
\boxed{} & \boxed{} & \boxed{} \\
\boxed{} & \boxed{} & \boxed{} \\
\end{pmatrix}
\]
represents the equation \(Ax = 0\). The reduced echelon form of this matrix indicates that \(Ax = 0\) has only the trivial solution. Therefore, the columns of \(A\) form a linearly independent set.

---

**B.**

If \(A\) is the given matrix, then the augmented matrix 
\[ 
\begin{pmatrix}
\boxed{} & \boxed{} & \boxed{} \\
\boxed{} & \boxed{} & \boxed{} \\
\boxed{} & \boxed{} & \boxed{} \\
\boxed{} & \boxed{} & \boxed{} \\
\end{pmatrix}
\]
represents the equation \(Ax = 0\). The reduced echelon form of this matrix indicates that \(Ax = 0\) has more than one solution. Therefore, the columns of \(A\) do not form a linearly independent set.

---

**C.**

If \(A\) is the given matrix, then the augmented matrix 
\[ 
\begin{pmatrix}
\boxed{} & \boxed{} & \boxed{} \\
\boxed{} & \boxed{} & \boxed{} \\
\boxed
Transcribed Image Text:### Linear Independence of Matrix Columns #### Determine if the columns of the matrix form a linearly independent set. Justify your answer. Given Matrix: \[ \begin{pmatrix} -4 & -3 & 0 \\ 0 & -1 & 6 \\ 1 & 1 & -6 \\ 2 & 1 & -12 \\ \end{pmatrix} \] --- #### Explanation: To determine if the columns of the matrix form a linearly independent set, we need to ascertain whether the equation \(Ax = 0\) has only the trivial solution (i.e., \(x = 0\)). --- #### Multiple Choice Question: Select the correct choice below and fill in the answer box within your choice. (Type an integer or simplified fraction for each matrix element.) --- **A.** If \(A\) is the given matrix, then the augmented matrix \[ \begin{pmatrix} \boxed{} & \boxed{} & \boxed{} \\ \boxed{} & \boxed{} & \boxed{} \\ \boxed{} & \boxed{} & \boxed{} \\ \boxed{} & \boxed{} & \boxed{} \\ \end{pmatrix} \] represents the equation \(Ax = 0\). The reduced echelon form of this matrix indicates that \(Ax = 0\) has only the trivial solution. Therefore, the columns of \(A\) form a linearly independent set. --- **B.** If \(A\) is the given matrix, then the augmented matrix \[ \begin{pmatrix} \boxed{} & \boxed{} & \boxed{} \\ \boxed{} & \boxed{} & \boxed{} \\ \boxed{} & \boxed{} & \boxed{} \\ \boxed{} & \boxed{} & \boxed{} \\ \end{pmatrix} \] represents the equation \(Ax = 0\). The reduced echelon form of this matrix indicates that \(Ax = 0\) has more than one solution. Therefore, the columns of \(A\) do not form a linearly independent set. --- **C.** If \(A\) is the given matrix, then the augmented matrix \[ \begin{pmatrix} \boxed{} & \boxed{} & \boxed{} \\ \boxed{} & \boxed{} & \boxed{} \\ \boxed
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