To solve the given problem, we need to analyze each of the statements related to \(3 \times 3\) matrices \(A\) and \(B\). Let's evaluate them one by one:
Statement (i): \( AB = 0 \Rightarrow A = 0 \) or \( B = 0 \)
In general, the statement \( AB = 0 \) does not imply that \( A = 0 \) or \( B = 0 \). This can be true for matrices that are not zero matrices. Consider the following example of \(2 \times 2\) matrices:
Let \( A = \begin{bmatrix} 1 & 0 \\ 0 & 0 \end{bmatrix} \) and \( B = \begin{bmatrix} 0 & 1 \\ 0 & 0 \end{bmatrix} \). Then,
Here, neither \(A\) nor \(B\) is zero, but their product is the zero matrix. Hence, statement (i) is false.
Statement (ii): \( AB = I_3 \Rightarrow A^{-1} = B \)
If the product \(AB\) is the identity matrix \(I_3\), then by definition, \(B\) is the inverse of \(A\). Therefore, \(A^{-1} = B\) holds true because \(AB = I_3\) implies that \(A\) and \(B\) are invertible matrices and are inverses of each other. Hence, statement (ii) is true.
Statement (iii): \( (A - B)^2 = A^2 - 2AB + B^2 \)
Let's perform the algebraic expansion of \((A - B)^2\):
The correct expansion is \(A^2 - AB - BA + B^2\), which differs from \(A^2 - 2AB + B^2\). Note that in general, matrix multiplication is not commutative, i.e., \(AB \neq BA\), so we cannot combine \(-AB\) and \(-BA\) into \(-2AB\). Thus, statement (iii) is false.
Based on the above analysis, only statement (ii) is true, whereas (i) and (iii) are false.
Conclusion: The correct answer is: (ii) is true (i), (iii) are false.