\[ \textbf{If } | \text{Adj} \ A | = x \text{ and } | \text{Adj} \ B | = y, \text{ then } \left( | \text{Adj}(AB) | \right)^{-1} \text{ is } \]
\( x + y \)
We are given the properties of the adjugate matrices of \( A \) and \( B \), and we need to determine \( \left( |Adj(AB)| \right)^{-1} \).
Step 1: Property of Determinant of Adjugate
For any square matrix \( M \), the determinant of the adjugate is given by: \[ |Adj(M)| = |M|^{n-1} \] where \( n \) is the order of the matrix.
Step 2: Using the Determinant Multiplication Rule
Since \( AB \) is the product of two matrices, we use the property: \[ |Adj(AB)| = |AB|^{n-1} \] Applying the determinant property: \[ |AB| = |A| \cdot |B| \] Thus, \[ |Adj(AB)| = (|A| \cdot |B|)^{n-1} \]
Step 3: Expressing in Terms of Given Values
We know that: \[ |Adj(A)| = |A|^{n-1} = x, \quad |Adj(B)| = |B|^{n-1} = y. \] Multiplying these equations: \[ |Adj(A)| \cdot |Adj(B)| = (|A|^{n-1}) \cdot (|B|^{n-1}) = |AB|^{n-1}. \] So, \[ |Adj(AB)| = |Adj(A)| \cdot |Adj(B)| = x \cdot y. \]
Step 4: Finding the Inverse
\[ \left( |Adj(AB)| \right)^{-1} = \frac{1}{|Adj(AB)|} = \frac{1}{xy}. \]
Let A = \(\begin{bmatrix} \log_5 128 & \log_4 5 \log_5 8 & \log_4 25 \end{bmatrix}\) \). If \(A_{ij}\) is the cofactor of \( a_{ij} \), \( C_{ij} = \sum_{k=1}^2 a_{ik} A_{jk} \), and \( C = [C_{ij}] \), then \( 8|C| \) is equal to:
Sum of the positive roots of the equation: \[ \begin{vmatrix} x^2 + 2x + 2 & x + 2 & 1 \\ 2x + 1 & x - 1 & 1 \\ x + 2 & -1 & 1 \end{vmatrix} = is \; 0. \]
If \( a \neq b \neq c \), then
\[ \Delta_1 = \begin{vmatrix} 1 & a^2 & bc \\ 1 & b^2 & ca \\ 1 & c^2 & ab \end{vmatrix}, \quad \Delta_2 = \begin{vmatrix} 1 & 1 & 1 \\ a^2 & b^2 & c^2 \\ a^3 & b^3 & c^3 \end{vmatrix} \]and
\[ \frac{\Delta_1}{\Delta_2} = \frac{6}{11} \]then what is \( 11(a + b + c) \)?
Let \( A = [a_{ij}] \) be a \( 3 \times 3 \) matrix with positive integers as its elements. The elements of \( A \) are such that the sum of all the elements of each row is equal to 6, and \( a_{22} = 2 \).