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Question: If \(A\) is a square matrix of order 3 such that \(\left| {Adj.A} \right| = 36\), find \(\left| A \r...

If AA is a square matrix of order 3 such that Adj.A=36\left| {Adj.A} \right| = 36, find A\left| A \right|.

Explanation

Solution

In order to find A\left| A \right| for the value Adj.A=36\left| {Adj.A} \right| = 36, we need to know about the adjoint matrix. Adjoint of a matrix is the transpose of the matrix formed by the cofactors of the given matrix. For example, if M is a matrix, then its adjoint matrix will be CmT{\left| {{C_m}} \right|^T}, where Cm{C_m} is the matrix of the cofactors.

Complete step by step answer:
We are given with an equation Adj.A=36\left| {Adj.A} \right| = 36, where Adj.A\left| {Adj.A} \right| is the adjoint of a matrix A.Now, we need to find the value of A\left| A \right|. From the properties of the matrices, we know a formula which states that the adjoint of a matrix is equal to the determinant of the matrix raised to the power of order of matrix minus one.The formula numerically, written as:
Adj.A=An1\left| {Adj.A} \right| = {\left| A \right|^{n - 1}} ……(1)
Where ‘nn’ is the order of the matrix.

And, in our question we are given with the order of matrix as 3, so the value of ‘n’ becomes:
n=3n = 3
So, we have the values n=3n = 3 and Adj.A=36\left| {Adj.A} \right| = 36, so substituting these two values in the equation 1 formula, we get:
Adj.A=An1\left| {Adj.A} \right| = {\left| A \right|^{n - 1}}
36=A31\Rightarrow 36 = {\left| A \right|^{3 - 1}}
Solving the power:
36=A2\Rightarrow 36 = {\left| A \right|^2}
Taking square root both the sides:
36=A2\Rightarrow \sqrt {36} = \sqrt {{{\left| A \right|}^2}}
Since, we know that x2=x\sqrt {{x^2}} = x and 36=6\sqrt {36} = 6, so according to this, we get:
6=A\Rightarrow 6 = \left| A \right|
A=6\therefore \left| A \right| = 6

Therefore, the value of A\left| A \right| obtained is 66.

Note: Transpose means changing the order of columns and rows of a matrix by changing the rows to columns and columns to rows. Since, we know that square root of a number can be positive or negative but we took positive part for the matrix