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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, the `det(B^(-1)AB)=`

A

`det(A^(-1))`

B

`det(B^(-1))`

C

`det(A)`

D

`det(B)`

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The correct Answer is:
To find the determinant of the matrix expression \( \det(B^{-1}AB) \), where \( B \) is a non-singular matrix and \( A \) is a square matrix, we can follow these steps: ### Step-by-Step Solution: 1. **Understanding Non-Singularity**: Since \( B \) is a non-singular matrix, it means that \( \det(B) \neq 0 \). This implies that the inverse \( B^{-1} \) exists. **Hint**: Recall that a matrix is non-singular if its determinant is not zero. 2. **Using Determinant Properties**: We can use the property of determinants that states: \[ \det(AB) = \det(A) \cdot \det(B) \] for any two square matrices \( A \) and \( B \). **Hint**: Remember that the determinant of a product of matrices is the product of their determinants. 3. **Applying the Property**: We want to find \( \det(B^{-1}AB) \). We can rewrite this using the property mentioned: \[ \det(B^{-1}AB) = \det(B^{-1}) \cdot \det(A) \cdot \det(B) \] **Hint**: Break down the expression into parts using the determinant property. 4. **Finding \( \det(B^{-1}) \)**: We know from the properties of determinants that: \[ \det(B^{-1}) = \frac{1}{\det(B)} \] **Hint**: The determinant of the inverse of a matrix is the reciprocal of the determinant of the matrix. 5. **Substituting Back**: Now substituting \( \det(B^{-1}) \) into our expression: \[ \det(B^{-1}AB) = \left(\frac{1}{\det(B)}\right) \cdot \det(A) \cdot \det(B) \] **Hint**: Simplify the expression by substituting the known value of \( \det(B^{-1}) \). 6. **Simplifying the Expression**: The \( \det(B) \) in the numerator and denominator cancels out: \[ \det(B^{-1}AB) = \det(A) \] **Hint**: Look for opportunities to cancel terms to simplify your calculations. ### Final Result: Thus, we conclude that: \[ \det(B^{-1}AB) = \det(A) \] ### Summary: The determinant of the matrix \( B^{-1}AB \) is equal to the determinant of \( A \), regardless of the non-singular matrix \( B \).
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