#### Solution By Steps
***Step 1: Define Linear Independence***
A set of vectors is linearly independent if the only way to form the zero vector as a linear combination of these vectors is by setting all coefficients to zero.
***Step 2: Check Set A***
For set A: $\left\{\left[\begin{array}{c}-6 \\ -10\end{array}\right],\left[\begin{array}{l}-3 \\ -5\end{array}\right]\right\}$
To check linear independence, set up the equation $c_1\left[\begin{array}{c}-6 \\ -10\end{array}\right] + c_2\left[\begin{array}{l}-3 \\ -5\end{array}\right] = \left[\begin{array}{c}0 \\ 0\end{array}\right]$ and solve for $c_1$ and $c_2$.
***Step 3: Check Set B***
For set B: $\left\{\left[\begin{array}{l}9 \\ 2\end{array}\right],\left[\begin{array}{c}-7 \\ 4\end{array}\right],\left[\begin{array}{l}3 \\ 5\end{array}\right]\right\}$
Set up the equation $c_1\left[\begin{array}{l}9 \\ 2\end{array}\right] + c_2\left[\begin{array}{c}-7 \\ 4\end{array}\right] + c_3\left[\begin{array}{l}3 \\ 5\end{array}\right] = \left[\begin{array}{c}0 \\ 0\end{array}\right]$ and solve for $c_1$, $c_2$, and $c_3$.
***Step 4: Check Set C***
For set C: $\left\{\left[\begin{array}{c}1 \\ -9\end{array}\right],\left[\begin{array}{c}-2 \\ 1\end{array}\right]\right\}$
Set up the equation $c_1\left[\begin{array}{c}1 \\ -9\end{array}\right] + c_2\left[\begin{array}{c}-2 \\ 1\end{array}\right] = \left[\begin{array}{c}0 \\ 0\end{array}\right]$ and solve for $c_1$ and $c_2$.
***Step 5: Check Set D***
For set D: $\left\{\left[\begin{array}{c}7 \\ -3 \\ 9\end{array}\right],\left[\begin{array}{c}2 \\ -7 \\ 4\end{array}\right],\left[\begin{array}{l}-5 \\ -4 \\ -5\end{array}\right]\right\}$
Set up the equation $c_1\left[\begin{array}{c}7 \\ -3 \\ 9\end{array}\right] + c_2\left[\begin{array}{c}2 \\ -7 \\ 4\end{array}\right] + c_3\left[\begin{array}{l}-5 \\ -4 \\ -5\end{array}\right] = \left[\begin{array}{c}0 \\ 0 \\ 0\end{array}\right]$ and solve for $c_1$, $c_2$, and $c_3$.
***Step 6: Check Set E***
For set E: $\left\{\left[\begin{array}{l}0 \\ 0\end{array}\right],\left[\begin{array}{c}7 \\ -4\end{array}\right]\right\}$
Set up the equation $c_1\left[\begin{array}{l}0 \\ 0\end{array}\right] + c_2\left[\begin{array}{c}7 \\ -4\end{array}\right] = \left[\begin{array}{c}0 \\ 0\end{array}\right]$ and solve for $c_1$ and $c_2$.
***Step 7: Check Set F***
For set F: $\left\{\left[\begin{array}{l}5 \\ 2 \\ 4\end{array}\right],\left[\begin{array}{l}0 \\ 7 \\ 6\end{array}\right],\left[\begin{array}{c}-1 \\ 8 \\ -3\end{array}\right]\right\}$
Set up the equation $c_1\left[\begin{array}{l}5 \\ 2 \\ 4\end{array}\right] + c_2\left[\begin{array}{l}0 \\ 7 \\ 6\end{array}\right] + c_3\left[\begin{array}{c}-1 \\ 8 \\ -3\end{array}\right] = \left[\begin{array}{c}0 \\ 0 \\ 0\end{array}\right]$ and solve for $c_1$, $c_2$, and $c_3.
#### Final Answer
The linearly independent sets are:
A. $\left\{\left[\begin{array}{c}-6 \\ -10\end{array}\right],\left[\begin{array}{l}-3 \\ -5\end{array}\right]\right\}$
C. $\left\{\left[\begin{array}{c}1 \\ -9\end{array}\right],\left[\begin{array}{c}-2 \\ 1\end{array}\right]\right\}$
E. $\left\{\left[\begin{array}{l}0 \\ 0\end{array}\right],\left[\begin{array}{c}7 \\ -4\end{array}\right]\right\}$
#### Key Concept
Linear Independence
#### Key Concept Explanation
Linear independence of vectors means that no vector in the set can be represented as a linear combination of the others. This property is crucial in various mathematical and engineering applications, ensuring unique solutions and efficient computations in systems of equations and transformations.
Follow-up Knowledge or Question
What is the definition of linear independence of vectors in a set?
Can a set of vectors be linearly independent if one of the vectors is a scalar multiple of another vector in the set?
How can we determine if a set of vectors is linearly independent using the concept of matrix rank?
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