Understanding the Sign of the Cofactor:
Be very careful with the sign of the cofactor. The sign is determined by \( (-1)^{i+j} \), which follows a checkerboard pattern of signs in the matrix:
\( \begin{pmatrix} + & - & + \\ - & + & - \\ + & - & + \end{pmatrix} \)
Applying to A23 and A32:
For \( A_{23} \), the position (2, 3) has a \( - \) sign (since \( i + j = 2 + 3 = 5 \), and \( (-1)^5 = -1 \)).
For \( A_{32} \), the position (3, 2) also has a \( - \) sign (since \( i + j = 3 + 2 = 5 \), and \( (-1)^5 = -1 \)).
Conclusion:
When calculating cofactors, always be mindful of the checkerboard sign pattern, which is determined by \( (-1)^{i+j} \). For positions (2,3) and (3,2), the signs are both \( - \).
Step 1: Understanding the Concept:
We need to calculate specific minors and cofactors of the given 3x3 matrix and check which of the given statements are true.
The minor \( M_{ij} \) of an element \( a_{ij} \) is the determinant of the submatrix formed by deleting the \( i \)-th row and \( j \)-th column.
The cofactor \( A_{ij} \) is related to the minor by the formula \( A_{ij} = (-1)^{i+j} M_{ij} \).
Step 2: Key Formula or Approach:
We will use the above definitions and calculate the minors and cofactors for each statement.
Step 3: Detailed Explanation:
The given matrix is: \[ A = \begin{bmatrix} 1 & 2 & 1 \\ 1 & 3 & 2 \\ 2 & 4 & 1 \end{bmatrix}. \] Let's evaluate each statement.
(A) \( M_{22} = -1 \):
\( M_{22} \) is the minor of the element \( a_{22} = 3 \). We delete the 2nd row and 2nd column. \[ M_{22} = \begin{vmatrix} 1 & 1 \\ 2 & 1 \end{vmatrix} = (1)(1) - (1)(2) = 1 - 2 = -1 \] Statement (A) is true.
(B) \( A_{23} = 0 \):
\( A_{23} \) is the cofactor of the element \( a_{23} = 2 \). First, find the minor \( M_{23} \). \[ M_{23} = \begin{vmatrix} 1 & 2 \\ 2 & 4 \end{vmatrix} = (1)(4) - (2)(2) = 4 - 4 = 0 \] Now, calculate the cofactor. \[ A_{23} = (-1)^{2+3} M_{23} = (-1)^5 (0) = 0 \] Statement (B) is true.
(C) \( A_{32} = 3 \):
\( A_{32} \) is the cofactor of the element \( a_{32} = 4 \). First, find the minor \( M_{32} \). \[ M_{32} = \begin{vmatrix} 1 & 1 \\ 1 & 2 \end{vmatrix} = (1)(2) - (1)(1) = 2 - 1 = 1 \] Now, calculate the cofactor. \[ A_{32} = (-1)^{3+2} M_{32} = (-1)^5 (1) = -1 \] Statement (C) is false.
(D) \( M_{23} = 1 \):
From our calculation for statement (B), we found that \( M_{23} = 0 \). Statement (D) is false.
(E) \( M_{32} = -3 \):
The OCR here is likely a typo. Based on the options, let's assume it should have been \( A_{32} = -1 \), or something related. From our calculation for statement (C), we found \( M_{32} = 1 \). Statement (E) is false.
Step 4: Final Answer:
The only true statements are (A) and (B). Therefore, the correct option is (1).
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:
If the system of equations \[ (\lambda - 1)x + (\lambda - 4)y + \lambda z = 5 \] \[ \lambda x + (\lambda - 1)y + (\lambda - 4)z = 7 \] \[ (\lambda + 1)x + (\lambda + 2)y - (\lambda + 2)z = 9 \] has infinitely many solutions, then \( \lambda^2 + \lambda \) is equal to: