The trace of a matrix, denoted as \( \text{tr}(X) \), is the sum of its diagonal elements. The trace is a linear operator, meaning \( \text{tr}(A + B) = \text{tr}(A) + \text{tr}(B) \) and \( \text{tr}(kA) = k \cdot \text{tr}(A) \).
Step 2: Detailed Explanation:
Let \( t_A = \text{tr}(A) \) and \( t_B = \text{tr}(B) \).
From the first equation:
\[ \text{tr}(A + 2B) = \text{tr}\begin{bmatrix} 1 & 2 & 0 6 & -3 & 3 -5 & 3 & 1 \end{bmatrix} \]
\[ t_A + 2t_B = 1 + (-3) + 1 = -1 \quad \dots (1) \]
From the second equation:
\[ \text{tr}(2A - B) = \text{tr}\begin{bmatrix} 2 & -1 & 5 2 & -1 & 6 0 & 1 & 2 \end{bmatrix} \]
\[ 2t_A - t_B = 2 + (-1) + 2 = 3 \quad \dots (2) \]
Now we solve the system of linear equations for \( t_A \) and \( t_B \):
From (2), \( t_B = 2t_A - 3 \). Substitute this into (1):
\[ t_A + 2(2t_A - 3) = -1 \]
\[ t_A + 4t_A - 6 = -1 \]
\[ 5t_A = 5 \implies t_A = 1 \]
Now find \( t_B \):
\[ t_B = 2(1) - 3 = -1 \]
We need the value of \( \text{tr}(A) - \text{tr}(B) \):
\[ t_A - t_B = 1 - (-1) = 2 \]
Step 4: Final Answer: