2. Determine whether the set S = {(2,1,0), (-1,0,1), (8,3,-2) } is linearly independent or linearly dependent. -1 C 3 J 8 ㄱ linearly independent Does the set S form a basis for R³? Yes

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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**Problem 2: Linear Independence and Basis**

**Question:**
Determine whether the set \( S = \{ (2,1,0), (-1,0,1), (8,3,-2) \} \) is linearly independent or linearly dependent.

**Solution:**
The solution involves analyzing the matrix formed by the vectors in \( S \):

\[
\begin{bmatrix}
2 & -1 & 8 \\
1 & 0 & 3 \\
0 & 1 & -2 \\
\end{bmatrix}
\]

Illustration shows these vectors being checked for linear independence.
  
Steps:
1. Write the vectors as columns of a matrix.
2. Reduce the matrix to row echelon form.

In the diagram, there are markings and a cross-out indicating analysis, with a question mark and a subtraction noted (-7).

**Conclusion:**
The vectors are found to be "linearly independent."

**Additional Question:**
Does the set \( S \) form a basis for \( \mathbb{R}^3 \)?

**Conclusion:**
Yes, it does. This is confirmed by the note indicated as "yes."

The handwritten notes indicate analysis leading to these conclusions confidently, confirming that the vectors span \( \mathbb{R}^3 \) and are independent, hence forming a basis.
Transcribed Image Text:**Problem 2: Linear Independence and Basis** **Question:** Determine whether the set \( S = \{ (2,1,0), (-1,0,1), (8,3,-2) \} \) is linearly independent or linearly dependent. **Solution:** The solution involves analyzing the matrix formed by the vectors in \( S \): \[ \begin{bmatrix} 2 & -1 & 8 \\ 1 & 0 & 3 \\ 0 & 1 & -2 \\ \end{bmatrix} \] Illustration shows these vectors being checked for linear independence. Steps: 1. Write the vectors as columns of a matrix. 2. Reduce the matrix to row echelon form. In the diagram, there are markings and a cross-out indicating analysis, with a question mark and a subtraction noted (-7). **Conclusion:** The vectors are found to be "linearly independent." **Additional Question:** Does the set \( S \) form a basis for \( \mathbb{R}^3 \)? **Conclusion:** Yes, it does. This is confirmed by the note indicated as "yes." The handwritten notes indicate analysis leading to these conclusions confidently, confirming that the vectors span \( \mathbb{R}^3 \) and are independent, hence forming a basis.
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