A zero matrix, also called a null matrix, is a matrix in which every element is zero. It can have any number of rows and columns, so it may be a square or rectangular matrix.

Some common examples of zero matrices of different orders are given below:
- Zero Matrix of order (1 × 1) → P1,1 = [0]
- Zero Matrix of order (1 × 2) → P1,2 = [0, 0]
Properties of a Zero Matrix
Important properties of a zero matrix are:
- A zero matrix can be a square matrix or a rectangular matrix, i.e., it can have an unequal number of rows and columns.
- As the determinant of a zero matrix is zero, a zero matrix is a singular matrix. (Also read about: How to Find the Determinant of a Matrix?)
- If a zero matrix is added to another matrix A of the same order, then the resultant matrix is A.
A + O = O + A = A
- If a zero matrix is multiplied by another matrix A, then the resultant matrix is a zero matrix.
A × O = O × A = O
- If any matrix A is subtracted from itself, then the resultant matrix is a zero matrix.
A − A = O
- The determinant of a zero matrix or a null matrix is zero.
Addition of Zero Matrix
When a zero matrix of order "m by n" is added to another non-zero matrix A of the same matrix, then the resultant matrix is A.
Let A = [aij]m×n be a non-zero matrix and O be a zero matrix of order "m by n," then
A + O = O + A = A
Example:
Solved Examples
Example 1: Give an example of a zero matrix that has three rows and four columns.
Solution:
Order of a zero matrix that has three rows and four columns is "3 × 4" and all its elements are zero. The matrix given below represents a zero matrix of order "3 × 4."
O3×4 =
\left[\begin{array}{cccc} 0 & 0 & 0 & 0\\ 0 & 0 & 0 & 0\\ 0 & 0 & 0 & 0 \end{array}\right]_{3\times4}
Example 2: Prove that if the product of two matrices is a zero matrix, then one of the matrices doesn't need to be a zero matrix.
Solution:
Let A =
\left[\begin{array}{cc} 0 & 0\\ 2 & 0 \end{array}\right] and B =\left[\begin{array}{cc} 0 & 0\\ 1 & 0 \end{array}\right] be two non-zero matrices.A × B =
\left[\begin{array}{cc} 0 & 0\\ 2 & 0 \end{array}\right]\left[\begin{array}{cc} 0 & 0\\ 1 & 0 \end{array}\right]=\left[\begin{array}{cc} \left(0\times0+0\times1\right) & \left(0\times0+0\times0\right)\\ \left(2\times0+0\times1\right) & \left(2\times0+0\times0\right) \end{array}\right] A × B =
\left[\begin{array}{cc} 0 & 0\\ 0 & 0 \end{array}\right] = OHence proved.
Example 3: Prove that a zero matrix is a singular matrix.
Solution:
To prove that a zero matrix is a singular matrix, let us consider a zero matrix of order "2 × 2."
O2×2 =
\left[\begin{array}{cc} 0 & 0\\ 0 & 0 \end{array}\right] We know that,
The determinant of a matrix
\left[\begin{array}{cc} a & b\\ c & d \end{array}\right] = ad - bcSo, the determinant of O2×2 = 0 × 0 - 0 × 0 = 0 − 0 = 0
We know that a singular matrix is a matrix whose determinant is zero. As the determinant of a zero matrix is zero, a zero matrix is a singular matrix.
Hence proved.
Example 4: Prove that the additive identity of A =
Solution:
To prove that, additive of the given matrix A is a zero matrix, we need to prove that
A + O = A
Given matrix A =
\left[\begin{array}{ccc} 1 & 5 & 9\\ 2 & 8 & 3 \end{array}\right]+\left[\begin{array}{ccc} 0 & 0 & 0\\ 0 & 0 & 0 \end{array}\right] =
\left[\begin{array}{ccc} 1+0 & 5+0 & 9+0\\ 2+0 & 8+0 & 3+0 \end{array}\right]
= \left[\begin{array}{ccc} 1 & 5 & 9\\ 2 & 8 & 3 \end{array}\right] = A Hence proved.