Concept:
Matrix algebra features several distinct properties: the product of two non-zero matrices can be zero (zero divisors), and matrix multiplication is generally non-commutative (\( AB \neq BA \)). For square matrices, if their product is the identity matrix (\( I \)), then one is the inverse of the other.
Step 1: Checking statement (i) regarding zero divisors.
In matrix algebra, \( AB = 0 \) does not necessarily mean \( A = 0 \) or \( B = 0 \). There exist non-zero matrices whose product is zero. For example:
\[ A = \begin{pmatrix} 0 & 1 0 & 0 \end{pmatrix}, B = \begin{pmatrix} 1 & 0 0 & 0 \end{pmatrix} \Rightarrow AB = \begin{pmatrix} 0 & 0 0 & 0 \end{pmatrix} \]
Since \( A, B \neq 0 \) but \( AB = 0 \), statement (i) is false.
Step 2: Checking statement (ii) regarding the matrix inverse.
By the definition of an invertible matrix, if \( A \) and \( B \) are square matrices of the same order such that \( AB = I \), then \( A \) is non-singular and its inverse \( A^{-1} \) is equal to \( B \).
Thus, statement (ii) is true.
Step 3: Checking statement (iii) regarding the expansion of \((A-B)^2\).
We expand the square by multiplying the matrices:
\[ (A - B)^2 = (A - B)(A - B) = A^2 - AB - BA + B^2 \]
This expression only simplifies to \( A^2 - 2AB + B^2 \) if \( AB = BA \). Because matrix multiplication is not generally commutative, statement (iii) is false.