Exercise 6 Is the set of vectors V = {i² + 2t – 1,3t + 5, -t² + t + 6} linearly dependent?

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Help with exercise 6 please? 

**Exercise 6**

Is the set of vectors 

\[ V = \{t^2 + 2t - 1, 3t + 5, -t^2 + t + 6\} \]

linearly dependent?

**Example 6**

What about this set of vectors?

\[ O = \{t^2 + 2t + 1, t^2 - t + 3, 3t + 1\} \]

Is it linearly dependent? Let's check. First, set it as a linear combination of the vectors set equal to the zero vector, \( \mathbf{0} \).

\[ a(t^2 + 2t + 1) + b(t^2 - t + 3) + c(3t + 1) = 0 \]

\[ (a + b)t^2 + (2a - b + 3c)t + (a + 3b + c) = 0 \]

Again, make sure you see how this works algebraically. This yields the following system of equations, augmented matrix, and resulting RREF matrix.

\[
\begin{align*}
a + b &= 0 \\
2a - b + 3c &= 0 \\
a + 3b + c &= 0
\end{align*}
\]

\[
\begin{bmatrix}
1 & 1 & 0 & : & 0 \\
2 & -1 & 3 & : & 0 \\
1 & 3 & 1 & : & 0
\end{bmatrix}
\quad \overset{RREF}{\longrightarrow} \quad
\begin{bmatrix}
1 & 0 & 0 & : & 0 \\
0 & 1 & 0 & : & 0 \\
0 & 0 & 1 & : & 0
\end{bmatrix}
\]

Remember from previous tutorials that this means that this system only has one solution. That solution is \((a, b, c) = (0, 0, 0)\). This is the trivial solution! Because this is the only solution, we do **NOT** say that the set of vectors \( O \) is linearly dependent. In fact, we say that the set of vectors \( O \) is linearly independent. Going back to
Transcribed Image Text:**Exercise 6** Is the set of vectors \[ V = \{t^2 + 2t - 1, 3t + 5, -t^2 + t + 6\} \] linearly dependent? **Example 6** What about this set of vectors? \[ O = \{t^2 + 2t + 1, t^2 - t + 3, 3t + 1\} \] Is it linearly dependent? Let's check. First, set it as a linear combination of the vectors set equal to the zero vector, \( \mathbf{0} \). \[ a(t^2 + 2t + 1) + b(t^2 - t + 3) + c(3t + 1) = 0 \] \[ (a + b)t^2 + (2a - b + 3c)t + (a + 3b + c) = 0 \] Again, make sure you see how this works algebraically. This yields the following system of equations, augmented matrix, and resulting RREF matrix. \[ \begin{align*} a + b &= 0 \\ 2a - b + 3c &= 0 \\ a + 3b + c &= 0 \end{align*} \] \[ \begin{bmatrix} 1 & 1 & 0 & : & 0 \\ 2 & -1 & 3 & : & 0 \\ 1 & 3 & 1 & : & 0 \end{bmatrix} \quad \overset{RREF}{\longrightarrow} \quad \begin{bmatrix} 1 & 0 & 0 & : & 0 \\ 0 & 1 & 0 & : & 0 \\ 0 & 0 & 1 & : & 0 \end{bmatrix} \] Remember from previous tutorials that this means that this system only has one solution. That solution is \((a, b, c) = (0, 0, 0)\). This is the trivial solution! Because this is the only solution, we do **NOT** say that the set of vectors \( O \) is linearly dependent. In fact, we say that the set of vectors \( O \) is linearly independent. Going back to
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