\( \left. \begin{array} { l } { A = \left[ \begin{array} { c c } { - 2 } & { 3 } \\ { 1 } & { 4 } \end{array} \right] \quad B = \left[ \begin{array} { c c c } { 5 } & { 6 } & { - 3 } \\ { 4 } & { 1 } & { 2 } \end{array} \right] } \\ { A B = } \\ { B A = } \end{array} \right. \)
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To compute the matrix products \( AB \) and \( BA \), we first find each product. For \( AB \): \[ AB = \begin{bmatrix} -2 & 3 \\ 1 & 4 \end{bmatrix} \begin{bmatrix} 5 & 6 & -3 \\ 4 & 1 & 2 \end{bmatrix} = \begin{bmatrix} (-2)(5)+ (3)(4) & (-2)(6) + (3)(1) & (-2)(-3) + (3)(2) \\ (1)(5) + (4)(4) & (1)(6) + (4)(1) & (1)(-3) + (4)(2) \end{bmatrix} \] Calculating each entry yields: 1. First row, first column: \(-10 + 12 = 2\) 2. First row, second column: \(-12 + 3 = -9\) 3. First row, third column: \(6 + 6 = 12\) 4. Second row, first column: \(5 + 16 = 21\) 5. Second row, second column: \(6 + 4 = 10\) 6. Second row, third column: \(-3 + 8 = 5\) Thus: \[ AB = \begin{bmatrix} 2 & -9 & 12 \\ 21 & 10 & 5 \end{bmatrix} \] For \( BA \): \[ BA = \begin{bmatrix} 5 & 6 & -3 \\ 4 & 1 & 2 \end{bmatrix} \begin{bmatrix} -2 & 3 \\ 1 & 4 \end{bmatrix} = \begin{bmatrix} (5)(-2) + (6)(1) & (5)(3) + (6)(4) & (-3)(1) + (2)(4) \\ (4)(-2) + (1)(1) & (4)(3) + (1)(4) & (4)(-3) + (2)(2) \end{bmatrix} \] Calculating each entry yields: 1. First row, first column: \(-10 + 6 = -4\) 2. First row, second column: \(15 + 24 = 39\) 3. First row, third column: \(-3 + 8 = 5\) 4. Second row, first column: \(-8 + 1 = -7\) 5. Second row, second column: \(12 + 4 = 16\) 6. Second row, third column: \(-12 + 4 = -8\) Thus: \[ BA = \begin{bmatrix} -4 & 39 & 5 \\ -7 & 16 & -8 \end{bmatrix} \] So, the final answers are: \[ AB = \begin{bmatrix} 2 & -9 & 12 \\ 21 & 10 & 5 \end{bmatrix}, \quad BA = \begin{bmatrix} -4 & 39 & 5 \\ -7 & 16 & -8 \end{bmatrix} \]
