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If B is a non-singular matrix and A is a...

If B is a non-singular matrix and A is a square matrix, then `det (B^(-1) AB)` is equal to (A) `det (A^(-1))` (B) `det (B^(-1))` (C) `det (A)` (D) `det (B)`

A

`det(A^(-1))`

B

`det(B^(-1))`

C

`det(A)`

D

`det(B)`

Text Solution

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The correct Answer is:
To solve the problem, we need to find the value of \( \det(B^{-1}AB) \) given that \( B \) is a non-singular matrix and \( A \) is a square matrix. ### Step-by-Step Solution: 1. **Understanding the Determinant Property**: We know that for any two square matrices \( M \) and \( N \), the determinant of their product is the product of their determinants: \[ \det(MN) = \det(M) \cdot \det(N) \] 2. **Applying the Property**: We can apply this property to our expression \( \det(B^{-1}AB) \): \[ \det(B^{-1}AB) = \det(B^{-1}) \cdot \det(A) \cdot \det(B) \] 3. **Using the Determinant of the Inverse**: We also know that the determinant of the inverse of a matrix \( B \) is given by: \[ \det(B^{-1}) = \frac{1}{\det(B)} \] 4. **Substituting the Inverse Determinant**: Now, substituting \( \det(B^{-1}) \) in our expression: \[ \det(B^{-1}AB) = \left(\frac{1}{\det(B)}\right) \cdot \det(A) \cdot \det(B) \] 5. **Simplifying the Expression**: The \( \det(B) \) in the numerator and denominator cancels out: \[ \det(B^{-1}AB) = \det(A) \] 6. **Conclusion**: Thus, we find that: \[ \det(B^{-1}AB) = \det(A) \] Therefore, the answer is \( \det(A) \), which corresponds to option (C).

To solve the problem, we need to find the value of \( \det(B^{-1}AB) \) given that \( B \) is a non-singular matrix and \( A \) is a square matrix. ### Step-by-Step Solution: 1. **Understanding the Determinant Property**: We know that for any two square matrices \( M \) and \( N \), the determinant of their product is the product of their determinants: \[ \det(MN) = \det(M) \cdot \det(N) ...
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