When performing matrix multiplication, especially with a column matrix and a row matrix, remember that the resulting matrix's dimensions are determined by the row count of the column matrix and the column count of the row matrix. The outer product of a \( m \times 1 \) and \( 1 \times n \) matrix results in a matrix of dimensions \( m \times n \). For transposing a matrix, simply swap the rows with columns, and this operation is essential for many matrix-related problems. Don't forget that matrix multiplication follows the distributive property, so you can multiply each element of the rows and columns accordingly.
To find \( (PQ)' \), we first compute the product \( PQ \) where:
The product \( PQ \) will be a \( 3 \times 3 \) matrix given by:
\[PQ = \begin{bmatrix}-1 \\2 \\1\end{bmatrix}\times\begin{bmatrix}2 & -4 & 1\end{bmatrix}=\begin{bmatrix}-2 & 4 & -1 \\4 & -8 & 2 \\2 & -4 & 1\end{bmatrix}\]
Next, we find the transpose \( (PQ)' \):
\[(PQ)' = \begin{bmatrix}-2 & 4 & -1 \\4 & -8 & 2 \\2 & -4 & 1\end{bmatrix}'=\begin{bmatrix}-2 & 4 & 2 \\4 & -8 & -4 \\-1 & 2 & 1\end{bmatrix}\]
Thus, the correct answer is:
\[\begin{bmatrix}-2 & 4 & 2 \\4 & -8 & -4 \\-1 & 2 & 1\end{bmatrix}\]
To solve for \((PQ)^T\), we need to perform several steps. First, compute the product of matrices \(P\) and \(Q\), then transpose the resulting matrix.
Given matrices:
\(P = \begin{bmatrix} -1 \\ 2 \\ 1 \end{bmatrix}\)
\(Q = \begin{bmatrix} 2 & -4 & 1 \end{bmatrix}\)
Step 1: Calculate \(PQ\).
Since \(P\) is a column matrix (3x1) and \(Q\) is a row matrix (1x3), \(PQ\) will be a 3x3 matrix:
\(PQ = \begin{bmatrix} -1 \times 2 & -1 \times -4 & -1 \times 1 \\ 2 \times 2 & 2 \times -4 & 2 \times 1 \\ 1 \times 2 & 1 \times -4 & 1 \times 1 \end{bmatrix}\)
Simplifying each element gives:
\(PQ = \begin{bmatrix} -2 & 4 & -1 \\ 4 & -8 & 2 \\ 2 & -4 & 1 \end{bmatrix}\)
Step 2: Transpose the matrix \(PQ\).
The transpose of a matrix is obtained by swapping its rows and columns, so \((PQ)^T\) is:
\((PQ)^T = \begin{bmatrix} -2 & 4 & 2 \\ 4 & -8 & -4 \\ -1 & 2 & 1 \end{bmatrix}\)
Therefore, the final result for \((PQ)^T\) is:
\(\begin{bmatrix} -2 & 4 & 2 \\ 4 & -8 & -4 \\ -1 & 2 & 1 \end{bmatrix}\)
Match List-I with List-II
| List-I | List-II |
|---|---|
| (A) An observed set of population selected for analysis | (I) Parameter |
| (B) A specific characteristic of the population | (II) Hypothesis |
| (C) A specific characteristic of the sample | (III) Statistic |
| (D) A statement made about a population parameter for testing | (IV) Sample |