Finite Math and Applied Calculus (6th Edition)

Published by Brooks Cole
ISBN 10: 1133607705
ISBN 13: 978-1-13360-770-0

Chapter 4 - Review - Review Exercises - Page 296: 9

Answer

The expression: "$AC + B$" is defined, and the resultin matrix is: $AC + B =| 2 \space \space \space \space 4| $ $ \hphantom {2A^T + c=.} | 1 \space \space 12| $

Work Step by Step

1. Check if the expression is defined For a matrix multiplication ($AC$), the length of the row in the first matrix must be equal to the length of the column in the second one. $A$ row length: $3$ $C$ column length: $3$ Therefore, the expression is defined and the multiplication is possible. $A$ is a $2 \times 3$ matrix, and $C$ is a $3 \times 2$ one. So, the resulting matrix is going to be a $2 \times 2$ For a matrix addition ($AC$ + $B$), both matrices must have the same dimensions: $AC$ is $2 \times 2$ and $B$ is $2 \times 2$. - The expression is defined and can be evaluated: 2. Evaluate it. First, we are going to calculate the entries for the $AC$ matrix: $(AC)_{11} = (A_{11} \times C_{11} + A_{12} \times C_{21} + A_{13} \times C_{31})$ $(AC)_{12} = (A_{11} \times C_{12} + A_{12} \times C_{22} + A_{13} \times C_{32})$ $(AC)_{21} = (A_{21} \times C_{11} + A_{22} \times C_{21} + A_{23} \times C_{31})$ $(AC)_{22} = (A_{21} \times C_{12} + A_{22} \times C_{22} + A_{23} \times C_{32})$ $(AC)_{11} = 1 \times (-1) + 2 \times 1 + 3 \times 0 = 1$ $(AC)_{12} = 1 \times 0 + 2 \times 1 + 3 \times 1 = 5$ $(AC)_{21} = 4 \times (-1) + 5 \times 1 + 6 \times 0 = 1$ $(AC)_{22} = 4 \times 0 + 5 \times 1 + 6 \times 1 = 11$ Finally, we can add the matrices: $(AC + B)_{11} = AC_{11} + B_{11} = 1 + 1 = 2$ $(AC + B)_{12} = AC_{12} + B_{12} = 5 + (-1) = 4$ $(AC + B)_{21} = AC_{21} + B_{21} = 1 + 0 = 1$ $(AC + B)_{22} = AC_{22} + B_{22} = 11 + 1 = 12$ $AC + B =| 2 \space \space \space \space 4| $ $ \hphantom {2A^T + c=.} | 1 \space \space 12| $
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