To determine the probability that the given system of equations has a unique solution, we must understand the conditions under which a system of linear equations has a unique solution. This occurs when the determinant of the coefficient matrix is non-zero.
Given the system of equations:
We write the coefficient matrix A as follows:
The criterion for a unique solution is that the determinant of this coefficient matrix is non-zero. Let's compute the determinant:
Expanding the determinant along the first row:
Simplifying the above expression:
For the determinant to be zero:
But since \( n \) represents a face of a die, it can only be a whole number (1 to 6). Therefore, \(n\) must be a value from 1 to 6 that does not make the determinant zero.
The equation conditions are invalid, meaning always the matrix will have a non-zero determinant for integer values of \(n\), giving all possible values from 1 to 6, for a total of 6 values.
Since all configurations lead to a unique solution, the probability:
Thus, k = 6. The sum of the value of \( k \) and all possible values of \( n \) is:
Therefore, the correct answer is 24.