Questions: Find the value(s) of h for which the vectors are linearly dependent. Justify your answer.
[2, -2, 6] · [6, -8, 17] · [-3, 3, h]
The value(s) of h which makes the vectors linearly dependent is(are) because this will cause to be a variable.
Transcript text: Find the value(s) of $h$ for which the vectors are linearly dependent. Justify your answer.
\[
\left[\begin{array}{r}
2 \\
-2 \\
6
\end{array}\right] \cdot\left[\begin{array}{r}
6 \\
-8 \\
17
\end{array}\right] \cdot\left[\begin{array}{r}
-3 \\
3 \\
h
\end{array}\right]
\]
The value(s) of h which makes the vectors linearly dependent is(are) $\square$ because this will cause $\square$ to be a $\square$ variable.
(Use a comma to separate answers as needed.)
Solution
Solution Steps
Step 1: Form the Matrix
We start by forming a matrix \( A \) using the given vectors as columns:
\[
A = \begin{bmatrix}
2 & 6 & -3 \\
-2 & -8 & 3 \\
6 & 17 & h
\end{bmatrix}
\]
Step 2: Calculate the Determinant
To find the values of \( h \) for which the vectors are linearly dependent, we need to calculate the determinant of matrix \( A \) and set it equal to zero:
\[
\text{Det}(A) = \left|\begin{matrix}
2 & 6 & -3 \\
-2 & -8 & 3 \\
6 & 17 & h
\end{matrix}\right|
\]
Step 3: Evaluate Determinant for Different Values of \( h \)
We evaluate the determinant for various integer values of \( h \) from -10 to 10. The calculations yield the following results:
For \( h = -10 \):
\[
\text{Det}(A) = 4.00
\]
For \( h = -9 \):
\[
\text{Det}(A) = 0.00
\]
For \( h = -8 \):
\[
\text{Det}(A) = -4.00
\]
For \( h = -7 \):
\[
\text{Det}(A) = -8.00
\]
Step 4: Identify Linear Dependence
The vectors are linearly dependent when the determinant is equal to zero. From our calculations, we find that:
\[
\text{Det}(A) = 0 \quad \text{when} \quad h = -9
\]
Step 5: Conclusion
The value of \( h \) that makes the vectors linearly dependent is:
\[
h = -9
\]
Final Answer
The value(s) of \( h \) which makes the vectors linearly dependent is(are) \( \boxed{-9} \).