A
To solve the question, we need to find the expression for the inverse of the adjugate of a matrix \(A\). The matrix \(A\) given in the problem is:
| \(A = \begin{vmatrix} \cos\theta & \sin\theta \\ -\sin\theta & \cos\theta \end{vmatrix}\) |
Firstly, recall the property of the inverse of the adjugate of a matrix. For a non-singular matrix \(A\):
For a 2x2 matrix \(A = \begin{vmatrix} a & b \\ c & d \end{vmatrix}\), the determinant is calculated as:
In our case, let's calculate the determinant:
Since the determinant \(\det(A) = 1\), it implies for the inverse relationship:
Thus, the correct answer is A.
Let's examine why other options are incorrect:
In summary, the matrix \(A\) is essentially a rotation matrix, which is orthogonal, and thus its determinant is 1. Therefore, \([\text{adj } A]^{-1} = A\), confirming the correct answer.
Let A and B be symmetric matrices of same order, then which one of the following is correct regarding (AB - BA) ?
1. Its diagonal entries are equal but nonzero
2. The sum of its non-diagonal entries is zero
Select the correct answer using the code given below :
For what value of k is the matrix \(\begin{bmatrix} 2\cos 2\theta & 2\cos 2\theta & 6 \\ 1 -2 \sin^2\theta & 2 \cos^2\theta -1 & 3 \\ k & 2k & 1 \end{bmatrix}\) singular?
If \[ [\,x \;\; 1 \;\; 1\,] \begin{bmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \\ 7 & 8 & 9 \end{bmatrix} \begin{bmatrix} 1 \\ 1 \\ x \end{bmatrix} = \begin{bmatrix} 45 \end{bmatrix} \] then which one of the following is a value of \(x\)?
Consider the following in respect of a non-singular matrix \( M \):
How many of the above are correct?
If \[ f(\theta) = \begin{bmatrix} \cos\theta & \sin\theta \\ -\sin\theta & \cos\theta \end{bmatrix} \] then what is \( f(\pi)^2 \) equal to?
If \[ A = \begin{bmatrix} 1 & 2 & 2 \\ 2 & 1 & 2 \\ 2 & 2 & 1 \end{bmatrix} \] then what is \( A^2 - 4A \) equal to?
If
A =
[ x y z ]
[ y z x ]
[ z x y ]
where x, y, z are integers, is an orthogonal matrix, then what is A2 equal to?
Let A be a skew-symmetric matrix of order 3.
What is the value of det(4A4) - det(3A3) + det(2A2) - det(A) + det(-I) where I is the identity matrix of order 3?
If \[ A = \begin{bmatrix} y & z & x \\ z & x & y \\ x & y & z \end{bmatrix} \] where \( x, y, z \) are integers, is an orthogonal matrix, then what is the value of \( x^2 + y^2 + z^2 \)?
The eigenvalues of the 3 × 3 matrix M = \(\left(\begin{array}{lll}\rm a^2 & \rm a b & \rm a c \\ \rm a b & \rm b^2 & \rm b c \\ \rm a c & \rm b c &\rm c^2\end{array}\right)\) are
A generic 3 × 3 real matrix A has eigenvalues 0, 1 and 6, and I is the 3 × 3 identity matrix. The quantity/quantities that cannot be determined from this information is/are the
If \(A = \(\left[ {\begin{array}{} {coshx}&{sinhx}\\ { - sinhx}&{coshx} \end{array}} \right])\) , then trace (A 2) is equal to
Let A be a non-singular diagonalisable matrix of order 3 with eignvalues λ1, λ2, λ3. A -1 is diagonalisable if:
Assertion(A): If A is any Matrix given by A = \(\left(\begin{array}{ccc}5 & 0 & 3 \\ −1 & 0 & 2 \\ 1 & 0 & 1\end{array}\right)\)
Then det A = 0, since all elements in column II are zero
Reason (R): Laplace expansion permits evaluation of a determinant along any row or column