In Exercises 37 - 44, perform the indicated matrix operations given that A, B and C are defined as follows. If an operation is not defined, state the reason. A(BC)
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Step 1: Identify the matrices A, B, and C as given:
\(A = \begin{bmatrix} 4 & 0 \\ -3 & 5 \\ 0 & 1 \end{bmatrix}, \quad B = \begin{bmatrix} 5 & 1 \\ -2 & -2 \end{bmatrix}, \quad C = \begin{bmatrix} 1 & -1 \\ -1 & 1 \end{bmatrix}\)
Step 2: Determine the dimensions of each matrix to check if the operations are defined:
- Matrix A is 3x2 (3 rows, 2 columns)
- Matrix B is 2x2
- Matrix C is 2x2
Step 3: Compute the product BC first since the expression is A(BC). Since B is 2x2 and C is 2x2, the product BC is defined and will result in a 2x2 matrix. Use matrix multiplication rules:
\( (BC)_{ij} = \sum_{k=1}^{2} B_{ik} \times C_{kj} \)
Step 4: After finding BC (a 2x2 matrix), multiply A (3x2) by BC (2x2). Since the number of columns in A (2) matches the number of rows in BC (2), the product A(BC) is defined and will result in a 3x2 matrix. Use matrix multiplication rules again:
\( (A(BC))_{ij} = \sum_{k=1}^{2} A_{ik} \times (BC)_{kj} \)
Step 5: Perform the multiplications and additions step-by-step for each element of the resulting matrix to find A(BC). Remember to multiply corresponding elements and sum them for each position in the product matrix.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Matrix Multiplication
Matrix multiplication involves multiplying rows of the first matrix by columns of the second matrix and summing the products. The number of columns in the first matrix must equal the number of rows in the second matrix for the operation to be defined.
The dimensions of matrices determine whether operations like multiplication are possible. For matrices A (m×n) and B (p×q), multiplication AB is defined only if n = p, resulting in a matrix of dimension m×q.
Matrix multiplication is associative, meaning (AB)C = A(BC) when the operations are defined. This property allows grouping matrices differently without changing the product, which is useful for simplifying complex matrix expressions.