Concept:
The rank of a matrix is defined as the maximum number of linearly independent rows or columns in the matrix.
A null matrix is a matrix in which every element is zero.
For example:
\[
\begin{bmatrix}
0 & 0
0 & 0
\end{bmatrix}
\]
Since every row and every column contains only zeros:
• no row is linearly independent,
• no column is linearly independent.
Hence the rank becomes zero.
Step 1: Understanding a null matrix.
A null matrix has all entries equal to zero.
Example:
\[
A=
\begin{bmatrix}
0 & 0 & 0
0 & 0 & 0
0 & 0 & 0
\end{bmatrix}
\]
Every row vector here is:
\[
(0,0,0)
\]
and every column vector is also:
\[
(0,0,0)
\]
Step 2: Understanding rank.
Rank means the maximum number of linearly independent rows or columns.
But in a null matrix:
• all rows are zero rows,
• all columns are zero columns,
• zero vectors are always linearly dependent.
Therefore there are no independent rows or columns.
Step 3: Finding the rank.
Hence:
\[
\text{Rank}(A)=0
\]
Therefore:
\[
\boxed{0}
\]
Step 4: Checking each option carefully.
• Option \(1\): \(0\) \(\rightarrow\) Correct
• Option \(2\): \(1\) \(\rightarrow\) Incorrect
• Option \(3\): \(2\) \(\rightarrow\) Incorrect
• Option \(4\): Infinite \(\rightarrow\) Incorrect
Thus the correct answer is:
\[
\boxed{(1)\;0}
\]