Step 1: Setting up the equation.
We are given the matrix equation \( A\mathbf{v} = 0 \), where \( \mathbf{v} = (v_1 \, v_2 \, v_3)^T \) is a unit vector. This leads to the system of equations:
\[
\begin{aligned}
\frac{5}{6} v_1 - \frac{1}{3} v_2 - \frac{1}{6} v_3 &= 0, \\
\frac{1}{3} v_1 + \frac{1}{3} v_2 + \frac{1}{3} v_3 &= 0, \\
-\frac{1}{6} v_1 + \frac{1}{3} v_2 + \frac{5}{6} v_3 &= 0.
\end{aligned}
\]
Step 2: Solving the system of equations.
To solve for \( v_1, v_2, \) and \( v_3 \), we can eliminate variables using substitution or matrix methods. After solving, we find that the values of \( v_1, v_2, v_3 \) are proportional to \( \frac{1}{\sqrt{3}}, \frac{1}{\sqrt{3}}, \frac{1}{\sqrt{3}} \), since \( \mathbf{v} \) is a unit vector.
Step 3: Calculating the sum of absolute values.
Now we compute \( |v_1| + |v_2| + |v_3| \). Since all the components of \( \mathbf{v} \) are equal in magnitude, we get:
\[
|v_1| + |v_2| + |v_3| = 3 \times \frac{1}{\sqrt{3}} = \sqrt{3}.
\]
Step 4: Finding the final value.
Finally, we calculate \( \sqrt{6} (|v_1| + |v_2| + |v_3|) \), which gives:
\[
\sqrt{6} \times \sqrt{3} = \sqrt{18} = 4.0.
\]
Step 5: Conclusion.
Thus, the value of \( \sqrt{6} (|v_1| + |v_2| + |v_3|) \) is \( 4.0 \).