Sum of matrix of 2x2 order with examples

This article will be about the sum of 2x2 matrices, with examples step by step.

Sum or addition of 2x2 matrix

A matrix with a “2x2” order means that it will have two rows and two columns, and we can only sum a 2x2 matrix with another matrix or matrices with the same order. in this article we are going to show how to sum 2x2 matrices.

2 2
2 2

The sum is done by summing every number of the first matrix with every number that is in the same position in the second matrix, for example in a 2x2 matrix we sum the number of the first row and first column of the first matrix with the number in the first row and the first column in the second matrix, and the answer will be the position column one and row one of the resultant matrix: A11 + B11 = C11 and we have to do this with every position in the matrix, and this is how we sum 2x2 matrices.

Sum of 2x2 matrices

Examples of 2x2 matrix

Example 1: Sum the following matrices

Matrix A

1 1
-1 -1

Matrix B

2 2
-2 -2

Sum the positions

1 + 2 1 + 2
-1 + (-2) -1 + (-2)

Resultant matrix

3 3
-3 -3

Example 2: Sum A + B

Matrix A

12 22
37 45

Matrix B

13 41
29 18

Sum the positions

12 + 13 22 + 41
37+ 29 45 + 18

Resultant matrix

25 63
66 63

Example 3: Calculate the resulting matrix of the folloing sum

Matrix A

109 133
-121 123

Matrix B

222 123
-33 0

Sum of every position

109 + 222 133 + 123
-121 + (-33) 123 + 0

Resultant matrix

331 256
-154 123

Example 4: Sum the following matrices

Matrix A

472 297
366 500

Matrix B

528 703
634 500

Sum of positions

472 + 528 297 + 703
366 + 634 500 + 500

Resultant matrix

1 000 1 000
1 000 1 000

Example 5: Sum the A + B matrices

Matrix A

421 90
102 31

Matrix B

-421 -90
-102 -31

Sum of positions

421 + (-421) 90 + (-90)
102 + (102) 31 + (-31)

Resultant matrix (In this case the resulting matrix is a null matrix, it means that every position of the matrix will be equals to 0)

0 0
0 0

Example 6: Sum of matrices

Matrix A

-32 21
-17 0

Matrix B

1200 -321
1 -200

Sum of positions

-32 + 1200 21 + (-321)
-17 + 1 0 + (-200)

Resultant matrix

1168 -300
-16 -200