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Question: If A is a square matrix satisfying \(\text{{A}'A}=\text{I}\) , write the value of \(\left| \text{A} ...

If A is a square matrix satisfying A’A=I\text{{A}'A}=\text{I} , write the value of A\left| \text{A} \right| .

Explanation

Solution

Firstly, we have to take the determinant on both the sides of the given equation, A’A=I\text{{A}'A}=\text{I} . Then, we have to apply the properties of determinant mainly AB=AB\left| AB \right|=\left| A \right|\left| B \right| and A=A\left| A \right|=\left| {{A}'} \right| . We will use the property that the determinant of the identity matrix is always 1. Now, we have to simplify the resultant equation.

Complete step by step solution:
We are given that A’A=I\text{{A}'A}=I . Let us take determinants on both sides.
AA=I\Rightarrow \left| {A}'A \right|=\left| I \right|
We know that if A and B are square matrix of same order, then AB=AB\left| AB \right|=\left| A \right|\left| B \right| . We also know that determinant of identity matrix is always 1, that is, I=1\left| I \right|=1 .Therefore, we can write the above equation as
AA=1\Rightarrow \left| {{A}'} \right|\left| A \right|=1
We know that for any square matrix, A we can write A=A\left| A \right|=\left| {{A}'} \right| . Therefore, the above equation can be written as
AA=1\Rightarrow \left| A \right|\left| A \right|=1
We can write the LHS as
A2=1\Rightarrow {{\left| A \right|}^{2}}=1
Let us take square roots on both sides. We can write the result of this step as
A=±1\Rightarrow \left| A \right|=\pm 1
Therefore, the value of A\left| \text{A} \right| is ±1\pm 1 .

Note: Students must be thorough with the properties of determinants. We can only apply the property AB=AB\left| AB \right|=\left| A \right|\left| B \right| only if A and B are square matrices of the same order. Similarly, we can only apply the property A=A\left| A \right|=\left| {{A}'} \right| if A is a square matrix. Students must never miss to put the ±\pm sign after finding the square root in the last step. We also represent the transpose of a matrix A as AT{{A}^{\text{T}}} .