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If A is an invertible matrix and B is an...

If A is an invertible matrix and B is an orthogonal matrix of the order same as that of `A` then `C = A^(-1) BA` is

A

an orthogonal matrix

B

symmetric matrix

C

skew symmetric matrix

D

none of these

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To solve the problem step by step, we need to analyze the given matrices and their properties. ### Step-by-Step Solution: 1. **Understanding the Given Matrices**: - We have matrix \( A \) which is invertible. - We have matrix \( B \) which is orthogonal. This means that \( B^T B = I \) (where \( I \) is the identity matrix). 2. **Define the Matrix \( C \)**: - We define \( C \) as \( C = A^{-1} B A \). 3. **Finding the Transpose of \( C \)**: - To determine whether \( C \) is symmetric or skew-symmetric, we first find \( C^T \): \[ C^T = (A^{-1} B A)^T \] - Using the property of transposes, we have: \[ C^T = A^T B^T (A^{-1})^T \] 4. **Using the Inverse Property**: - Since \( (A^{-1})^T = (A^T)^{-1} \), we can rewrite \( C^T \): \[ C^T = A^T B^T (A^T)^{-1} \] 5. **Substituting the Orthogonality Condition**: - Since \( B \) is orthogonal, we have \( B^T = B^{-1} \). Therefore: \[ C^T = A^T B^{-1} (A^T)^{-1} \] 6. **Simplifying Further**: - We can express \( (A^T)^{-1} \) as \( (A^{-1})^T \): \[ C^T = A^T B^{-1} (A^{-1})^T \] 7. **Rearranging the Terms**: - We can rearrange the expression: \[ C^T = A^T (A^{-1})^T B^{-1} \] 8. **Using the Identity Property**: - Since \( A A^{-1} = I \), we have: \[ C^T = I B^{-1} = B^{-1} \] 9. **Conclusion**: - Since \( C^T = B^{-1} \) and \( B \) is orthogonal, it follows that \( C \) must also be orthogonal. Thus, we conclude that: \[ C \text{ is an orthogonal matrix.} \] ### Final Answer: - Therefore, \( C \) is an orthogonal matrix. ---
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