Vertible & Invertible Matrix

A matrix is defined as a set of numbers that are arranged in rows as well as columns. The dimensions of a matrix are the number of rows and columns, which are represented by m x n, where m and n represent the number of rows and columns, respectively. On matrices, basic mathematical operations such as addition, subtraction, multiplication, and division can be performed. In this article, we will look at the inverse of a matrix, also known as invertible matrix.

If the product of the matrix and its inverse is the identity matrix then a square matrix is defined as invertible. An identity matrix is a matrix with all 1s on the main diagonal and all 0s on the other diagonals. The other name for an invertible matrix is non-singular or non-degenerate matrix, and it is commonly defined using real or complex numbers.

What is an Invertible Matrix?

An n-by-n square matrix is said to be invertible (also non-singular or non-degenerate) in linear algebra if the product of the matrix and its inverse is the identity matrix. In other words, an invertible matrix is one for which the inverse can be calculated if the preceding condition is met.

How Does an Invertible Matrix Function?

Matrix inversion is the process of determining a matrix’s inverse. However, it is important to note that not all matrices are invertible. To be invertible, a matrix must be able to be multiplied by its inverse. Because there is no number that can be multiplied by 0 to yield a value of 1, the number 0 has no multiplicative inverse. Furthermore, a matrix may not have a multiplicative inverse, as is the case with non-square matrices (different number of rows and columns).

Invertible Matrix Applications

  1. Invertible matrices are used in a variety of fields in our daily lives. They are extremely useful for a variety of tasks, but they shine when it comes to 3D transformations. Here are a few examples of invertible matrices in use.
  2. Encrypting a message can be accomplished using invertible matrices. There are numerous methods for encrypting a message, and the use of coding has grown in popularity in recent years.
  3. Cryptographers, particularly those who programme the specific encryption algorithm, use invertible matrices to decode a message.

Invertible matrices are used in computer graphics in 3D space to render what you see on the screen. It has many other applications as well, to know more about it, visit

Multiplication of Matrix

Matrix operations primarily involve three algebraic operations: matrix addition, matrix subtraction, and matrix multiplication. A matrix is defined as a rectangular array of numbers or expressions that are organized into rows and columns. In mathematics, matrices have numerous applications.

There are four primary operations in mathematics: addition, subtraction, multiplication as well as division. Let’s discuss how to perform multiplication of the matrix. For matrix multiplication, the number of columns in the first matrix must be equal to the number of rows in the second matrix. The resulting matrix is known as the matrix product, it has the number of rows of the first as well as the number of columns of the second matrix.

Rules For Matrix Multiplication

We can derive the following matrix multiplication rules and properties from the above-mentioned formula and procedure.

  1. If the number of columns in A equals the number of rows in B, the product of the two matrices A and B is defined.
  2. If AB is defined, BA is not required.

If A and B are both square matrices of the same order, then AB and BA are both defined.

  1. If AB and BA are both defined, AB does not have to equal BA.
  2. If the product of two matrices is a 0 matrix, one of the matrices does not have to be a zero matrix.

Article by Born Realist