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Last updated on October 16, 2025
The addition of matrices is an operation of mathematics that helps to add two or more matrices. A matrix is a square or rectangular arrangement of numbers, letters, words, or expressions in rows and columns.
Matrices are a square or rectangular arrangement of numbers, symbols, or expressions organized in rows and columns. The matrix is used to organize data. In a matrix, we use operations like addition, subtraction, and multiplication. In a matrix operation, the division of one matrix by another is not defined.
The addition of a matrix is an operation where the corresponding elements of matrices of the same dimensions are added together. The addition of a matrix is only possible when the matrices have the same dimensions. In a matrix, the number of horizontal rows is denoted by m, and the number of vertical columns by n; the matrix is said to have the dimension m × n.
Types of Addition of Matrices
In addition, matrices are categorized into two types, which depend on the type of matrix and the properties used to solve the problems. Here are two types of addition methods: the simple method and the direct sum of matrices. Let us see in detail.
Element-Wise Addition of Matrices
Element-wise addition of a matrix is the basic form of matrix addition. This is otherwise known as the simple method of matrix addition. This method is used in a matrix where corresponding elements from the matrices of the same order are added together. This means that elements are in the same rows, and the columns are added to form a new matrix. For example,
A = 42 86 , B = 31 75
In this matrix, they are in 2 × 2 the same order.
Add the elements step by step:
A + B = 4 + 32 + 1 8 + 76 + 5 = 73 1511
The final result is:
A + B = 73 1511
Direct sum matrices
The direct sum method is a method that is used in matrices to add two or more matrices. When adding the matrices in the direct sum matrix, the order of the matrices is not the same. In a direct sum matrix, which is denoted by ⊕. The direct sum is not like normal addition. A direct sum matrix means combining two small matrices into a bigger one, placing each one along the diagonal and filling the other positions with zeros. For example,
A = 21 43
B = 65 87 109
Solution:
A = 21 43, which is 2 × 2 matrix
B = 65 87 109, which is a 2 × 3 matrix. These two matrices are not the same. Therefore, we will use a direct sum matrix. A ⊕ B. While using this method, keep the first matrix on the top left side and keep the second matrix on the bottom right side, then add the zero in between the spaces.
1 3 0 0 0
2 4 0 0 0
0 0 5 7 9
0 0 6 8 10
A ⊕ B =
In matrix addition, there are several properties used in linear algebra. Here are the key properties:
Commutative Property
The commutative property is used in matrix addition, which does not affect the value if the order is changed.
A + B = B + A
Associative Property
The associative property means in matrix addition that we can add two or more matrices in groups without affecting the result, but only if the matrices are in the same order.
(A + B) + C = A + (B + C)
Additive Identity:
The additive matrix is also known as the zero matrix, which means that when zero is added to another matrix, the resulting matrix has an element.
A + 0 = A.
Additive Inverse:
The additive inverse of a matrix is a matrix that, when added to the original matrix, gives the zero matrix as the result.
A + (-A) = 0
The addition of matrices is a fundamental algebraic operation with practical applications that is used in various fields. Below are some real-life applications where matrix addition is used:
The addition of matrices is the fundamental operation in matrix algebra. When students learn to add matrices, they often make small mistakes that lead to the incorrect answer. Here are some common mistakes that you can avoid.
The addition of matrices is the fundamental operation in matrix algebra. When students learn to add matrices, they often make small mistakes that lead to the incorrect answer. Here are some common mistakes that you can avoid.
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