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\( \left. \begin{array} { l } { A = \left[ \begin{array} { c c } { - 2 } & { 3 } \\ { 1 } & { 4 } \end{array} \right] \quad B = \left[ \begin{array} { c c c } { 5 } & { 6 } & { - 3 } \\ { 4 } & { 1 } & { 2 } \end{array} \right] } \\ { A B = } \\ { B A = } \end{array} \right. \)

Ask by Howell Crawford. in the United States
Mar 10,2025

Solución de inteligencia artificial de Upstudy

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\( AB = \begin{bmatrix} 2 & -9 & 12 \\ 21 & 10 & 5 \end{bmatrix} \), and \( BA \) is undefined.

Solución

We are given \[ A = \begin{bmatrix} -2 & 3 \\ 1 & 4 \end{bmatrix}, \quad B = \begin{bmatrix} 5 & 6 & -3 \\ 4 & 1 & 2 \end{bmatrix}. \] **Step 1. Compute \(AB\):** Since \(A\) is a \(2 \times 2\) matrix and \(B\) is a \(2 \times 3\) matrix, the product \(AB\) is defined and will be a \(2 \times 3\) matrix. Write \(AB = \begin{bmatrix} c_{11} & c_{12} & c_{13} \\ c_{21} & c_{22} & c_{23} \end{bmatrix}\), where each entry is computed by \[ c_{ij} = \sum_{k=1}^{2} a_{ik} b_{kj}. \] 1. For \(c_{11}\): \[ c_{11} = (-2)(5) + (3)(4) = -10 + 12 = 2. \] 2. For \(c_{12}\): \[ c_{12} = (-2)(6) + (3)(1) = -12 + 3 = -9. \] 3. For \(c_{13}\): \[ c_{13} = (-2)(-3) + (3)(2) = 6 + 6 = 12. \] 4. For \(c_{21}\): \[ c_{21} = (1)(5) + (4)(4) = 5 + 16 = 21. \] 5. For \(c_{22}\): \[ c_{22} = (1)(6) + (4)(1) = 6 + 4 = 10. \] 6. For \(c_{23}\): \[ c_{23} = (1)(-3) + (4)(2) = -3 + 8 = 5. \] Thus, \[ AB = \begin{bmatrix} 2 & -9 & 12 \\ 21 & 10 & 5 \end{bmatrix}. \] --- **Step 2. Investigate \(BA\):** The matrix \(B\) is \(2 \times 3\) and \(A\) is \(2 \times 2\). For the product \(BA\) to be defined, the number of columns of \(B\) must equal the number of rows of \(A\). Here, \(B\) has 3 columns while \(A\) has 2 rows, so \[ \text{The product } BA \text{ is undefined}. \] --- **Final Answer:** \[ AB = \begin{bmatrix} 2 & -9 & 12 \\ 21 & 10 & 5 \end{bmatrix}, \quad BA \text{ is undefined.} \]

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Mind Expander

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: \[ AB = \begin{bmatrix} 2 & -9 & 12 \\ 21 & 10 & 5 \end{bmatrix}, \quad BA = \begin{bmatrix} -4 & 39 & 5 \\ -7 & 16 & -8 \end{bmatrix} \]

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