Equality of Matrices

Matrices are organized in sets of elements, such as numbers, symbols, or expressions, arranged in a rectangular form of rows and columns. A matrix is typically represented by m × n, where m is the number of rows and n is the number of columns present. Matrices simplify complex calculations by structuring data and are used to solve systems of linear equations. Matrices represent systems of equations across various fields like science, technology, and economics.
For example:
  
Is a 2 × 3 matrix, meaning it has 2 rows and 3 columns.
 

Two matrices A and B are said to be equal if they have the same dimensions and all matching elements in the same positions. This means every element in matrix A is equal to the corresponding element in matrix B. This is known as matrix equality or equality of matrices. This rule is applicable for all types of matrices, whether they are square (order n × n), or rectangular (order m × n).
For example:
 
Since A and B are both 2 × 2 matrices having the same order, and each corresponding element in A and B is equal.

What are the conditions for Matrix Equality?

Let us take 2 matrices,
Matrix A = [aij] of size m × n 
Matrix B = [bij] of size p × q
For matrices A and B to be equal, they need to follow three important conditions:
The number of rows in both matrices should be equal, so m = p.
The number of columns in both matrices should be equal, that is, n = q.
Each element at positions (i, j) in both matrices should be the same, which means, aij = bij for all i and j.
Let us take two 2 × 2 matrices A and B
 
The number of rows and columns in both matrices is equal, so the first 2 conditions are satisfied.
Now, to confirm that A = B, we need to satisfy the third condition.
So, we compare all corresponding elements;
x = 3
4 = 4
5 = 5
6 = y
Here, we see that if x = 3 and y = 6, then A = B.
 

We know that when two matrices are said to be equal, they are of the same order and have the same corresponding elements. 
Now, let us understand how to solve for matrices with equality using an example.
Let A and B be 2 equal matrices, where they have the same dimensions and corresponding elements are equal:

For equal matrices, their corresponding elements are also equal, so
x + 2 = 6
5 = 5
7 = 7
y - 1 = 3
Solving for the values of x and y, we get
x = 6 - 2 = 4
y = 3 + 1 = 4
So, matrix A becomes equal to matrix B when x = 4 and y = 4.
 

The idea of matrix equality is useful in many industries where data is organized in the form of matrices, which are arranged in rows and columns for easy analysis and comparison. Some such applications of matrix equality are:

• Image processing in computer science
  Images stored as pixel matrices are compared using matrix equality. If the pixel matrices of two images are exactly equal in size and value, then the images are identical.
• Data verification and management
  In database management systems, matrix equality is used to check if two datasets are exactly the same. For example, to ensure the data integrity of Excel tables during transfer, we use matrix equality.
• Circuit analysis in electrical engineering
  In electrical engineering, matrices represent current or voltage values. Engineers use equal matrices to confirm identical circuit behavior between two circuits. 
• Inventory matching in retail 
  Stocks at the various levels can be organized and analyzed using the matrices. Identical inventory matrices show that stock distribution is identical. This is useful in understanding the demand for the product in various areas.
• Medical imaging using healthcare technology
  Data from an MRI or CT scan is stored in the form of a matrix. Scans are compared over time to understand changes in the patient’s condition. If the matrices remain the same, this means the patient’s condition has remained stable, with no improvement or deterioration.