If $A = \begin{bmatrix} 0 & 0 & \sqrt{3} \\ 0 & \sqrt{3} & 0 \\ \sqrt{3} & 0 & 0 \end{bmatrix}$, then $|adj A|$ is equal to
The question asks us to find the value of the determinant of the adjoint matrix, denoted as $|adj A|$, for a given 3x3 matrix $A$.
The matrix $A$ is given as:
$A = \begin{bmatrix} 0 & 0 & \sqrt{3} \\ 0 & \sqrt{3} & 0 \\ \sqrt{3} & 0 & 0 \end{bmatrix}$There's a useful property connecting the determinant of a matrix $A$ and the determinant of its adjoint matrix $adj A$. For an $n \times n$ matrix $A$, this property is:
$|adj A| = |A|^{n-1}$To find $|adj A|$, we first need to calculate the determinant of matrix $A$ ($|A|$) and know the order of the matrix ($n$).
The matrix $A$ is a 3x3 matrix. We can calculate its determinant using the standard formula. Let's expand along the first row:
$|A| = 0 \cdot \begin{vmatrix} \sqrt{3} & 0 \\ 0 & 0 \end{vmatrix} - 0 \cdot \begin{vmatrix} 0 & 0 \\ \sqrt{3} & 0 \end{vmatrix} + \sqrt{3} \cdot \begin{vmatrix} 0 & \sqrt{3} \\ \sqrt{3} & 0 \end{vmatrix}$Now, calculate the determinants of the 2x2 matrices:
Substitute these values back into the determinant calculation for $A$:
$|A| = 0 \cdot (0) - 0 \cdot (0) + \sqrt{3} \cdot (-3)$ $|A| = 0 - 0 - 3\sqrt{3}$ $|A| = -3\sqrt{3}$We know that $n = 3$ for matrix $A$. Using the formula $|adj A| = |A|^{n-1}$:
$|adj A| = |A|^{3-1}$ $|adj A| = |A|^2$Substitute the value of $|A|$ we found:
$|adj A| = (-3\sqrt{3})^2$To calculate this, we square both the coefficient and the square root term:
$|adj A| = (-3)^2 \times (\sqrt{3})^2$ $|adj A| = 9 \times 3$ $|adj A| = 27$Therefore, the value of $|adj A|$ for the given matrix $A$ is 27.
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