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A square matrix B is said to be an ortho...

A square matrix `B` is said to be an orthogonal matrix of order `n` if `BB^(T)=I_(n)` if `n^(th)` order square matrix `A` is orthogonal, then |adj(adjA)| is

A

may be `-1` if `n` is even

B

greater than `1` in all cases

C

always `1`

D

always 1 if `n` is odd

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To solve the problem, we need to find the value of \(|\text{adj}(\text{adj} A)|\) for an orthogonal matrix \(A\) of order \(n\). ### Step-by-Step Solution: 1. **Understanding Orthogonal Matrices**: An \(n \times n\) matrix \(A\) is orthogonal if \(AA^T = I_n\), where \(A^T\) is the transpose of \(A\) and \(I_n\) is the identity matrix of order \(n\). **Hint**: Recall that the definition of an orthogonal matrix involves its transpose and the identity matrix. 2. **Determinant of Orthogonal Matrices**: For any orthogonal matrix \(A\), we have: \[ \det(A) \cdot \det(A^T) = \det(I_n) = 1 \] Since \(\det(A^T) = \det(A)\), we can write: \[ \det(A)^2 = 1 \] This implies that: \[ \det(A) = \pm 1 \] **Hint**: Use the property of determinants that relates the determinant of a matrix and its transpose. 3. **Adjoint of a Matrix**: The adjoint of a matrix \(A\), denoted as \(\text{adj}(A)\), is related to the determinant by the formula: \[ \text{adj}(A) = \det(A) A^{-1} \] For the adjoint of the adjoint, we have: \[ \text{adj}(\text{adj}(A)) = \det(A)^{n-1} A \] Therefore, the determinant of the adjoint of the adjoint is given by: \[ |\text{adj}(\text{adj}(A))| = |\det(A)^{n-1} A| = |\det(A)|^{n-1} \cdot |A| \] **Hint**: Remember that the determinant of the adjoint can be expressed in terms of the determinant of the original matrix. 4. **Finding \(|\text{adj}(\text{adj} A)|\)**: Since \(|A| = \det(A)\) and we know \(\det(A) = \pm 1\), we can substitute this into our equation: \[ |\text{adj}(\text{adj}(A))| = |\det(A)|^{n-1} \cdot |\det(A)| = |\det(A)|^n \] Thus, we have: \[ |\text{adj}(\text{adj}(A))| = (\pm 1)^n \] **Hint**: Consider the cases for \(n\) being even or odd. 5. **Conclusion**: - If \(n\) is even, \((\pm 1)^n = 1\). - If \(n\) is odd, \((\pm 1)^n = \pm 1\). Therefore, the final result is: \[ |\text{adj}(\text{adj}(A))| = \begin{cases} 1 & \text{if } n \text{ is even} \\ \pm 1 & \text{if } n \text{ is odd} \end{cases} \]

To solve the problem, we need to find the value of \(|\text{adj}(\text{adj} A)|\) for an orthogonal matrix \(A\) of order \(n\). ### Step-by-Step Solution: 1. **Understanding Orthogonal Matrices**: An \(n \times n\) matrix \(A\) is orthogonal if \(AA^T = I_n\), where \(A^T\) is the transpose of \(A\) and \(I_n\) is the identity matrix of order \(n\). **Hint**: Recall that the definition of an orthogonal matrix involves its transpose and the identity matrix. ...
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