Questions: Now find the following: A · A^t = [[a b] [c d]] where A^t is the transform of A. a=0, b=0, b, c=0

Now find the following:
A · A^t = [[a b] [c d]] where A^t is the transform of A.
a=0, b=0, b, c=0
Transcript text: Now find the following: $A \cdot A^{t}=\left[\begin{array}{ll}a & b \\ c & d\end{array}\right]$ where $A^{t}$ is the transform of $A$. \[ a=0, b=0, b, c=0 \]
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Solution

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Solution Steps

To solve the given problem, we need to compute the product of matrix \( A \) and its transpose \( A^t \). The transpose of a matrix is obtained by swapping its rows and columns. Once we have the transpose, we can perform matrix multiplication to find the resulting matrix.

Solution Approach
  1. Define the matrix \( A \).
  2. Compute the transpose of \( A \).
  3. Perform matrix multiplication of \( A \) and \( A^t \).
  4. Extract the elements \( a, b, c, d \) from the resulting matrix.
Step 1: Understand the Problem

We are given a matrix \( A \) and its transpose \( A^t \). We need to find the product \( A \cdot A^t \) and identify the resulting matrix. The problem also provides specific values for the elements of the resulting matrix.

Step 2: Define the Matrix \( A \)

Let's assume \( A \) is a 2x2 matrix: \[ A = \begin{bmatrix} a_{11} & a_{12} \\ a_{21} & a_{22} \end{bmatrix} \]

Step 3: Compute the Transpose of \( A \)

The transpose of \( A \), denoted as \( A^t \), is: \[ A^t = \begin{bmatrix} a_{11} & a_{21} \\ a_{12} & a_{22} \end{bmatrix} \]

Step 4: Compute the Product \( A \cdot A^t \)

The product \( A \cdot A^t \) is calculated as follows: \[ A \cdot A^t = \begin{bmatrix} a_{11} & a_{12} \\ a_{21} & a_{22} \end{bmatrix} \cdot \begin{bmatrix} a_{11} & a_{21} \\ a_{12} & a_{22} \end{bmatrix} \]

Step 5: Perform Matrix Multiplication

\[ A \cdot A^t = \begin{bmatrix} a_{11}a_{11} + a_{12}a_{12} & a_{11}a_{21} + a_{12}a_{22} \\ a_{21}a_{11} + a_{22}a_{12} & a_{21}a_{21} + a_{22}a_{22} \end{bmatrix} \]

Step 6: Substitute Given Values

We are given: \[ \left[\begin{array}{ll} a & b \\ c & d \end{array}\right] = \left[\begin{array}{ll} 0 & 0 \\ 0 & 0 \end{array}\right] \]

This implies: \[ \begin{cases} a_{11}a_{11} + a_{12}a_{12} = 0 \\ a_{11}a_{21} + a_{12}a_{22} = 0 \\ a_{21}a_{11} + a_{22}a_{12} = 0 \\ a_{21}a_{21} + a_{22}a_{22} = 0 \end{cases} \]

Step 7: Analyze the Equations

From the equations, we can infer that: \[ a_{11}^2 + a_{12}^2 = 0 \\ a_{21}^2 + a_{22}^2 = 0 \]

Since the sum of squares of real numbers is zero, each individual term must be zero: \[ a_{11} = 0, \quad a_{12} = 0, \quad a_{21} = 0, \quad a_{22} = 0 \]

Step 8: Identify the Resulting Matrix

Given that all elements of \( A \) are zero, the resulting matrix \( A \cdot A^t \) is: \[ A \cdot A^t = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix} \]

Step 9: Determine the Type of Matrix

The resulting matrix is a zero matrix.

Final Answer

The product of a reflection matrix and its transpose is the \(\boxed{\text{zero matrix}}\).

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