Given \( A \) is a \((2n+1) \times (2n+1)\) integer matrix with \( AA^T = I = A^TA \) and \(\det(A) > 0\).
Since \( AA^T = I \), \( A \) is an orthogonal matrix. For orthogonal matrices: \[ \det(A) = \pm 1 \] Given \(\det(A) > 0\), we have \(\det(A) = 1\).
For any orthogonal matrix \( A \) of odd dimension, \( 1 \) is always an eigenvalue. This is because: \[ \det(A - I) = \det(A^T - I) = \det(A^{-1} - I) = \det(A)^{-1}\det(I - A) = (-1)^{2n+1}\det(A - I) \] For odd \( 2n+1 \), this implies: \[ \det(A - I) = -\det(A - I) \implies \det(A - I) = 0 \]
Given: \(A\) is a \((2n+1) \times (2n+1)\) matrix with integer entries, \(\det(A) > 0\), and \(AA^T = I = A^TA\).
This means \(A\) is an orthogonal matrix and \(\det(A) = \pm 1\). Since \(\det(A) > 0\), we have \(\det(A) = 1\).
Consider \(A - I\). We want to determine if \(\det(A - I) = 0\) or \(\neq 0\).
Since \(A\) is a real orthogonal matrix of odd size \((2n+1) \times (2n+1)\), it has at least one real eigenvalue equal to 1.
This is because the complex eigenvalues of a real matrix come in conjugate pairs, and the product of all eigenvalues must be \(\det(A) = 1\).
To get a positive determinant from a product containing complex conjugate pairs(each of which multiply to a positive real), there must be at least one additional real eigenvalue, which must be \(1\) since \(A\) is orthogonal.
If \(\lambda = 1\) is an eigenvalue of \(A\), then \(\det(A - I) = 0\).
Therefore, the correct answer is:
(D) \(\det(A - I) = 0\)
For a $3 \times 3$ matrix $A$, if $A(\operatorname{adj} A) = \begin{bmatrix} 99 & 0 & 0 \\0 & 99 & 0 \\0 & 0 & 99 \end{bmatrix}$, then $\det(A)$ is equal to:
If $ X = A \times B $, $ A = \begin{bmatrix} 1 & 2 \\-1 & 1 \end{bmatrix} $, $ B = \begin{bmatrix} 3 & 6 \\5 & 7 \end{bmatrix} $, find $ x_1 + x_2 $.