QUESTION IMAGE
Question
which is the transpose of the matrix?
4.13)
$a=\
$
$a^t = ?$
a. $\
$
b. $\
$
c. $\
$
d. $\
$
which is the sum of the matrices?
4.14)
$\
+\
$
a. $\
$
b. $\
$
c. $\
$
d. $\
$
which is the product of the matrices?
4.15)
$3\
$
a. $\
$
b. $\
$
c. $\
$
d. $\
$
4.16)
$\
\times\
$
a. $\
$
b. $\
$
c. $\
$
d. $\
$
4.17)
$\
\times\
$
a. $\
$
b. $\
$
c. $\
$
d. $\
$
4.13)
Step1: Recall transpose definition
The transpose of a matrix \( A \), denoted \( A^T \), swaps rows and columns. So for \( A =
\), the first row of \( A \) becomes the first column of \( A^T \), second row becomes second column, third row becomes third column.
Step2: Construct \( A^T \)
First row of \( A \): \( [0, -1, 3] \) → first column of \( A^T \): \(
\)
Second row of \( A \): \( [4, -2, 5] \) → second column of \( A^T \): \(
\)
Third row of \( A \): \( [0, 7, 1] \) → third column of \( A^T \): \(
\)
So \( A^T =
\), which matches option B.
Step1: Matrix addition rule
To add two matrices, add corresponding elements. For \(
+
\), add element-wise:
First row, first column: \( -1 + 2 = 1 \)
First row, second column: \( 3 + (-1) = 2 \)
Second row, first column: \( 5 + 0 = 5 \)
Second row, second column: \( -2 + 4 = 2 \)
Step2: Resulting matrix
The sum is \(
\)? Wait, no, wait: Wait, first row second column: 3 + (-1) = 2? Wait, no, the options: Wait, let's recalculate. Wait, the first matrix is \(
\), second is \(
\). So:
Row 1, Col 1: -1 + 2 = 1
Row 1, Col 2: 3 + (-1) = 2
Row 2, Col 1: 5 + 0 = 5
Row 2, Col 2: -2 + 4 = 2
Wait, but option D is \(
\). Wait, let's check options:
A: \(
\) – no. B: \(
\) – no. C: \(
\) – no. D: \(
\) – yes.
Step1: Scalar multiplication rule
To multiply a matrix by a scalar, multiply each element by the scalar. For \( 3
\), multiply each element by 3:
First row, first column: \( 3 \times (-1) = -3 \)
First row, second column: \( 3 \times 2 = 6 \)
Second row, first column: \( 3 \times (-2) = -6 \)
Second row, second column: \( 3 \times 1 = 3 \)
Step2: Resulting matrix
The product is \(
\), which matches option A.
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B. \(
\)