give answer in 2 step with explanation at the end of each step and final answer at the end:
Andify voar awawer
[
0
-
9
1
6
3
1
-
1
4
-
1
5
-
6
1
-
5
-
2
]
Select the correct choce below ind in in the arower bos with your choce
(
Type an anteger or simplifed fixition for each matrix element
)
set.
◻
0
.
If A nife given matrix, then the augmentind matrix set.
◻
C
.
HA an the given motix, then the augrented mots! independent wet.
◻
D
.
If Ain Begmen matro, then the auguertind matro independent set
◻; Li
ars a vi
I i
Question:
give answer in 2 step with explanation at the end of each step and final answer at the end:
Andify voar awawer
[
0
-
9
1
6
3
1
-
1
4
-
1
5
-
6
1
-
5
-
2
]
Select the correct choce below ind in in the arower bos with your choce
(
Type an anteger or simplifed fixition for each matrix element
)
set.
◻
0
.
If A nife given matrix, then the augmentind matrix set.
◻
C
.
HA an the given motix, then the augrented mots! independent wet.
◻
D
.
If Ain Begmen matro, then the auguertind matro independent set
◻; Li
ars a vi
I i
This is AI generated Response.
Asked by: Pagal
Created at: 2025-06-02 22:42:51
Final Answer:
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Let's solve the problem step by step, with explanations after each step.
---
### **Step 1: Write the Matrix and Understand the Problem**
The given matrix is:
\[
\begin{bmatrix}
0 & -9 & 1 & 6 \\
3 & 1 & -1 & 4 \\
-1 & 5 & -6 & 1 \\
5 & -2 & & \\
\end{bmatrix}
\]
You are asked whether the columns of this matrix form a **linearly independent set**. To check linear independence, we see if the only solution to \( A\mathbf{x} = 0 \) is the trivial solution (\(\mathbf{x} = 0\)).
**Explanation:**
If the only solution is the trivial solution, then the columns are linearly independent. If there are non-trivial solutions, they are dependent.
---
### **Step 2: Analyze the Answer Choices**
Each answer choice explains what it means for the columns to be linearly independent or dependent based on the reduced row echelon form (RREF) of the augmented matrix \(A\mathbf{x} = \mathbf{0}\):
- **A:** Only the trivial solution \(\rightarrow\) Linearly independent
- **B:** More than one solution \(\rightarrow\) Linearly dependent
- **C:** Only the trivial solution \(\rightarrow\) Linearly dependent (incorrect definition)
- **D:** More than one solution \(\rightarrow\) Linearly independent (incorrect definition)
So, according to the definitions:
- If the RREF of the matrix equation \(A\mathbf{x} = 0\) has only the trivial solution, the columns are **linearly independent**.
- If it has more than the trivial solution, the columns are **linearly dependent**.
**Explanation:**
This matches the definition of linear independence for vectors/matrix columns: no non-trivial linear combination gives zero.
---
### **Final Answer**
**The correct answer is:**
- **A. If for the given matrix, then the augmented matrix represents the equation \(A\mathbf{x} = 0\). The reduced echelon form of the matrix indicates that \(A\mathbf{x} = 0\) has only the trivial solution. Therefore, the columns of \(A\) form a linearly independent set.**
---
**Summary:**
1. Columns are linearly independent if the only solution to \(A\mathbf{x} = 0\) is trivial.
2. Answer choice A gives the correct reasoning and conclusion.
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