Properties of Matrix Addition

Simple explanation of the properties of matrix addition with clear statements and examples showing commutative, associative, and identity properties.

1. Introduction to Properties of Matrix Addition

Matrix addition follows rules that are very similar to the rules you already know from ordinary arithmetic. These properties make it easy to simplify expressions and work confidently with matrices during calculations.

Below are the main properties of matrix addition explained in simple language with examples.

2. Property 1: Commutative Property

The order of addition does not matter. You get the same result whether you add \( A + B \) or \( B + A \).

\( A + B = B + A \)

2.1. Example

Let:

A = \begin{bmatrix} 2 & 3 \\ -1 & 4 \end{bmatrix}, \quad B = \begin{bmatrix} 5 & 1 \\ 0 & 2 \end{bmatrix}

Then:

A + B = \begin{bmatrix} 7 & 4 \\ -1 & 6 \end{bmatrix}

B + A = \begin{bmatrix} 7 & 4 \\ -1 & 6 \end{bmatrix}

Both are the same, showing commutativity.

3. Property 2: Associative Property

When adding three matrices, the grouping does not affect the result.

\( (A + B) + C = A + (B + C) \)

3.1. Example

Let:

A = \begin{bmatrix} 1 & 2 \end{bmatrix}, \; B = \begin{bmatrix} 3 & 4 \end{bmatrix}, \; C = \begin{bmatrix} 5 & 6 \end{bmatrix}

Both groupings will give:

\( \begin{bmatrix} 9 & 12 \end{bmatrix} \)

4. Property 3: Additive Identity

The zero matrix acts like 0 in normal arithmetic. Adding it to any matrix leaves the matrix unchanged.

\( A + O = A \)

4.1. Example

A = \begin{bmatrix} 4 & -1 \\ 2 & 3 \end{bmatrix}, \quad O = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix}

Then:

A + O = A

5. Property 4: Additive Inverse

For every matrix \( A \), there exists a matrix \( -A \) such that:

\( A + (-A) = O \)

The matrix \( -A \) is obtained by changing the sign of every entry of \( A \).

5.1. Example

A = \begin{bmatrix} 3 & -2 \\ 1 & 5 \end{bmatrix}

Then:

-A = \begin{bmatrix} -3 & 2 \\ -1 & -5 \end{bmatrix}

Adding them gives the zero matrix.

6. Property 5: Closure Property

If two matrices have the same order, their sum is also a matrix of the same order. Matrix addition is always closed within the set of matrices of a fixed size.

Example: Adding two \( 2 \times 3 \) matrices always gives another \( 2 \times 3 \) matrix.

7. All Properties at a Glance

  • Commutative: \( A + B = B + A \)
  • Associative: \( (A + B) + C = A + (B + C) \)
  • Additive Identity: \( A + O = A \)
  • Additive Inverse: \( A + (-A) = O \)
  • Closure: Sum of two same-order matrices is also the same order.

These rules make matrix addition predictable and easy to use in larger computations.