Step 1: Concept
The rank of a matrix $A$ is defined as the maximum number of linearly independent row vectors (or column vectors) in $A$. Alternatively, it is the maximum order of any non-zero minor of $A$.
Step 2: Key Formulas and Approach
A null matrix (or zero matrix) $O_{m \times n}$ is a matrix in which all entries are identically zero:
\[ A = \begin{pmatrix} 0 & 0 & \dots & 0 0 & 0 & \dots & 0 \vdots & \vdots & \ddots & \vdots 0 & 0 & \dots & 0 \end{pmatrix} \]
Step 3: Step-by-step Explanation
• Every row vector and column vector in a null matrix is the zero vector $\vec{0}$.
• A set consisting only of zero vectors is linearly dependent. The maximum number of linearly independent rows in a null matrix is $0$.
• Furthermore, every minor of any order ($1 \times 1, 2 \times 2, \dots$) formed from a zero matrix has a determinant equal to $0$.
• Since there exists no non-zero minor of order $1$ or greater, by definition:
\[ \text{Rank}(A) = 0 \]
• Note that the null matrix is the only matrix that has a rank of $0$. Every non-zero matrix has a rank of at least $1$.
Step 4: Final Answer
The rank of a null matrix is always 0. Hence, Option (B) is correct.