Problem 23
Question
The matrices \(A, B, C, D, E, F, G\) and \(H\) are defined as follows. $$\begin{aligned} &A=\left[\begin{array}{rr} 2 & -5 \\ 0 & 7 \end{array}\right] \quad B=\left[\begin{array}{rrr} 3 & \frac{1}{2} & 5 \\ 1 & -1 & 3 \end{array}\right] \quad C=\left[\begin{array}{rrr} 2 & -\frac{5}{2} & 0 \\ 0 & 2 & -3 \end{array}\right]\\\ &D=\left[\begin{array}{llll} 7 & 3 \end{array}\right] \quad E=\left[\begin{array}{l} 1 \\ 2 \\ 0 \end{array}\right] \quad F=\left[\begin{array}{lll} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{array}\right]\\\ &G=\left[\begin{array}{rrr} 5 & -3 & 10 \\ 6 & 1 & 0 \\ -5 & 2 & 2 \end{array}\right] \quad H=\left[\begin{array}{rr} 3 & 1 \\ 2 & -1 \end{array}\right] \end{aligned}$$ Carry out the indicated algebraic operation, or explain why it cannot be performed. (a) \(5 A\) (b) \(C-5 A\)
Step-by-Step Solution
VerifiedKey Concepts
Matrix Scalar Multiplication
- Process: To perform scalar multiplication, apply the scalar to each element of the matrix. For example, in the given problem, multiplying matrix \(A\) by the scalar 5 means every element of \(A\) is multiplied by 5.
- Example: Consider matrix \(A\):\[A = \begin{bmatrix} 2 & -5 \ 0 & 7 \end{bmatrix}\]Multiplying by scalar 5, each element becomes:\[5A = \begin{bmatrix} 5 \times 2 & 5 \times -5 \ 5 \times 0 & 5 \times 7 \end{bmatrix} = \begin{bmatrix} 10 & -25 \ 0 & 35 \end{bmatrix}\]
Understanding scalar multiplication is foundational for more complex operations involving matrices.
Matrix Subtraction
- Requirements: The matrices must have the same number of rows and columns. This is because you are subtracting corresponding elements.
- Illustration: Suppose \[X = \begin{bmatrix} x_{11} & x_{12} \ x_{21} & x_{22} \end{bmatrix}\]and \[Y = \begin{bmatrix} y_{11} & y_{12} \ y_{21} & y_{22} \end{bmatrix}\]Then, \[X - Y = \begin{bmatrix} x_{11} - y_{11} & x_{12} - y_{12} \ x_{21} - y_{21} & x_{22} - y_{22} \end{bmatrix}\]
To perform matrix subtraction, always ensure that both matrices are of the same size to allow a one-to-one element correspondence.
Matrix Dimensions
- Notation: The order of dimensions is expressed as \(m \times n\), where \(m\) is the number of rows and \(n\) is the number of columns.
- Importance: Correct dimensions are necessary for operations like addition and subtraction, where you need the same dimensions; and for specific multiplication methods, such as matrix-matrix multiplication, where the number of columns in the first matrix must equal the number of rows in the second matrix.
In the original problem, the inability to subtract \(C\) and \(5A\) is due to their differing dimensions. Recognizing the dimensions and how they affect operations is a foundational concept in mastering matrix algebra.