If \( A \), \( B \), and \( \left( \text{adj}(A^{-1}) + \text{adj}(B^{-1}) \right) \) are non-singular matrices of the same order, then the inverse of \[ A \left( \text{adj}(A^{-1}) + \text{adj}(B^{-1}) \right) B \] is equal to:
Given that matrices \( A \), \( B \), and \( \left( \text{adj}(A^{-1}) + \text{adj}(B^{-1}) \right) \) are non-singular, we aim to compute the inverse of the expression:
\(A \left( \text{adj}(A^{-1}) + \text{adj}(B^{-1}) \right) B\)
The relationship between the adjugate of the inverse of a matrix \( M \) and \( M \) itself is given by:
\(\text{adj}(M^{-1}) = |M| M\)
where \( |M| \) denotes the determinant of \( M \).
Applying this formula to \( A^{-1} \) and \( B^{-1} \):
\(\text{adj}(A^{-1}) = |A^{-1}| A\)
\(\text{adj}(B^{-1}) = |B^{-1}| B\)
Leveraging the property that \( |M^{-1}| = \frac{1}{|M|} \), we substitute:
\(\text{adj}(A^{-1}) = \frac{1}{|A|} A\)
\(\text{adj}(B^{-1}) = \frac{1}{|B|} B\)
Substituting these into the original expression \( A (\text{adj}(A^{-1}) + \text{adj}(B^{-1})) B \) yields:
\(A \left( \frac{1}{|A|} A + \frac{1}{|B|} B \right) B\)
This simplifies to:
\(= A \left( \frac{A}{|A|} + \frac{B}{|B|} \right) B\)
Further simplification leads to:
\(= \frac{1}{|A||B|} A (A + B) B\)
To find the inverse of this expression, we use the property \( (XY)^{-1} = Y^{-1} X^{-1} \).
Therefore, the inverse is:
\(\frac{1}{|A| B|} \left( \text{adj}(B) + \text{adj}(A) \right)\)
The correct option is:
\(\frac{1}{|A|B|} \left( \text{adj}(B) + \text{adj}(A) \right)\)