Matrix Multiplication Rules and Formula
In this tutorial, you will learn all about matrix multiplication. Here I've shown the steps involved in matrix multiplication through pictorial representation. And I believe that pictorial representation is the best way to define any minorly complex topics. As a result, here are the two topics you should be aware of:
I'll explain these two topics in terms that any programmer can understand.
What is the matrix?
In the programming world, a matrix is basically a two-dimensional (2D) array. Here "two dimension" means the element of an array arranged in two dimensions, which are rows and columns. Rows are from top-to-bottom, whereas columns are from left-to-right. For example,
As you can see from the above matrix, there are a total of m numbers of rows and n numbers of columns. And A11, A12, ....., Amn are matrix elements arranged in such a way that the element
- A11 is in the 1st row and 1st column
- A12 is in the 1st row and 2nd column
- A1n is in the 1st row and nth column
- A21 is in the 2nd row and 1st column
- A22 is in the 2nd row and 2nd column
- A2n is in the 2nd row and nth column
- Am1 is in the mth row and 1st column
- Am2 is in the mth row and 2nd column
- Amn is in the mth row and nth column
How matrix multiplication works
To multiply any two matrices, we need to do the dot product of the rows and columns. Before going to the step-by-step process of matrix multiplication, Let's first understand the matrix dot product. So to do the dot product of (1, 2, 3).(4, 5, 6). Here are the steps:
(1,2,3).(4,5,6) = (1x4)+(2x5)+(3x6) = 4+10+18 = 32
Now let's understand matrix multiplication using the step-by-step process given below.
Matrix Multiplication Procedure in Steps
Here is the step-by-step process to multiply the two given matrices:
In the first step, perform the dot product of the first row's elements (of the first matrix) to the first column's elements (of the second matrix), as shown below:
In the second step, perform the dot product of the first row's elements (of the first matrix) to the second column's elements (of the second matrix) as shown below:
In the third step, perform the dot product of the elements in the second row (of the first matrix) on the elements in the first column (of the second matrix), as shown below:
In the fourth step, perform the dot product of the second row's elements (of the first matrix) on the second column's elements (of the second matrix) as shown below:
In this way, you can perform matrix multiplication.
Condition for matrix multiplication to be performed
In order for matrix multiplication to be performed or defined, the number of columns in the first matrix must be equal to the number of rows in the second matrix.
Further Explanation of Matrix Multiplication
The binary process known as "matrix multiplication" creates a matrix from two matrices. The first matrix's columns must have the same number of rows as the next matrix's rows in order for matrices to be multiplied.
The number of rows in the first matrix and the number of columns in the secondary matrix are added together to form the final matrix, or matrix product. The letters AB stand for the result of the matrices A and B. Thus, matrix multiplication is a fundamental tool of linear algebra and already has various uses in many branches of pure and practical arithmetic, including in statistics, physics, economics, and engineering.
Assuming we possess two matrices A and B, matrix A may be multiplied by matrix B using the formula (AB). To put it another way, the resulting matrix for multiplying any m x n matrix "A" with a n x q matrix "B" may be expressed as matrix "C" of order m x q.
We can understand the general procedure of matrix multiplying by using the concept that "initial rows were multiplied with columns (component by
component), and then all rows were completely filled."To multiply a matrix, use one of the following basic methods:
Step one is ensuring that the number of rows inside the second matrix matches the number of columns within the first matrix.
Step two involves multiplying the components of the ith row of the first matrix by the components of the jth column of the other matrix and then adding the results. That would be the component of the resulting matrix, which is under the ith row as well as the jth column.
Phase 3 is setting up the additional goods in their proper locations.
Multiplication of 2x2 Matrix
Multiplication of 3x3 Matrix
Example of Matrix Multiplication
Find the multiplication of A and B matrices. The matrix A =
The Matrix B =
Therefore, A.B =
Programs created for matrix multiplication
- Matrix Multiplication in C
- Matrix Multiplication in C++
- Matrix Multiplication in Java
- Matrix Multiplication in Python
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