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Determine The Order of Matrix

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Order of a Matrix

Before we know what the order of a matrix means, let’s first understand what matrices are. Matrices can be defined as rectangular arrays of numbers or functions. Since a matrix is a rectangular array, it is 2-dimensional. A two-dimensional matrix consists of the number of rows which is denoted by (m) and a number of columns denoted by (n). Let us understand the concept in a better way with some examples.


What is a Matrix?

  • A matrix is a rectangular array of numbers or symbols which are generally arranged in rows and columns.

  • The order of the matrix is defined as the number of rows and columns.

  • The entries are the numbers in the matrix and each number is known as an element.

  • The plural of the matrix is matrices.

  • The size of a matrix is referred to as the ‘n by m’ matrix and is written as m × n, where n is the number of rows and m is the number of columns.

  • For example, we have a 3 × 2 matrix, that’s because the number of rows here is equal to 3 and the number of columns is equal to 2.


How Will You Determine the Order of a Matrix?

The order of a matrix can easily be determined by counting the number of rows and columns the matrix consists of. If we have a matrix that has m number of rows and n number of columns, then let’s know how to find the order of the matrix.


Here are a few examples of how to find the order of a matrix,

[159−5]

[15]

The order of the above matrix is (1×3), since the number of rows (m) = 1 and the number of columns (n) = 3.

[7−6]

[7]

The order of the above matrix is (1×2) since the number of rows (m) = 1 and the number of columns (n) = 2.

[abcd]

[ac]

The order of the above matrix is (2×2) since the number of rows (m) = 2 and the number of columns (n) = 2.

[8a5−315b]

[8−3]

The order of the above matrix is (2×3) since the number of rows (m) = 2 and the number of columns (n) = 3.

The order of the matrix below is 3 x 4, which means that it has 3 rows and 4 columns.

[173242466913]

We can clearly see, a matrix of the order m × n has mn elements. Hence, we can say that if the number of elements in a matrix is prime, then it must have one row or one column. For determining the order of a matrix of square matrices like 1 x 1, 2 x 2, 3 x 3,……., n x n the order will be represented by the number of rows or number of columns that is n.

Usually, we denote a matrix by using a capital letter, such as A, B, C, D, M, N, X, Y, Z, etc.


A Small Note!

  • It is quite fascinating that there is a relation between the number of elements present in a matrix and the order of the matrix.

  • The order of a matrix is denoted by m × n, and the number of elements present in a matrix will always be equal to the product of m and n.

Example: [8a5−315b]

In the example given above, what is the order of a matrix? The matrix order math is 2 × 3. Therefore, the number of elements present in the above matrix will also be 2 times 3, which is equal to 6.

This gives us an important insight that if we know the order of the matrix, it would be easy for us to determine the total number of elements present in the matrix. In conclusion, if the order of the matrix is m × n, it will have mn (product of m and n) elements.

Now, you might wonder whether the converse of the previous statement is true?

The converse of the previous statement says that: If the number of elements is equal to mn, then the order would be m × n. But, this is definitely not true. This is because the product of mn can be obtained in more than one way; some of the ways are listed below:

  • mn × 1

  • 1 × mn

  • m × n

  • n × m


What are the Different Types of Matrix?

There are different types of matrices. Here they are –

  • Row Matrix: In this matrix, the number of rows is 1 and this is fixed while the number of columns may vary.

Example: [137]1×3[1]

1×3

  • Column Matrix: A type of matrix that contains only one column and any no of rows is known as a column matrix.

Example: [1234]4×1

4×1

  • Singleton Matrix: This type of matrix has the number of rows and columns the same that is 1 which means there will be only one element in the matrix.

Example: [5]1×1[5]

1×1

  • Rectangular Matrix: A rectangular matrix is a type of matrix that has a different number of rows and columns. A rectangular matrix is defined as

  • A

  • m×n.

Example: The below example is showing a 3x4 matrix.

[173242466913]

  • Square Matrix: A square matrix is a type of matrix that consists of the same number of rows and columns. The representation of the square matrix is

  • A

  • n×n.

Example: The below example is showing a 3x3 square matrix.[832646579]

  • Null Matrix: A type of matrix having all elements as 0 is known as a null matrix. Example: [000000000]

  • Diagonal Matrix: A type of matrix that has all elements as zero except diagonal elements is known as a diagonal matrix.

Example: [800040009]

  • Scalar Matrix: Scalar matrix is a type of matrix in which the diagonal value is the same and all the rest values are zero. So, it is a kind of diagonal matrix where all diagonal elements are the same.

Example: [400040004]

  • Identity Matrix: The identity matrix is a type of scalar matrix having the diagonal value 1 and all the rest values are 0. The identity matrix always has an equal number of rows and columns.

Example: [100010001]

  • Upper Triangular Matrix: Upper Triangular Matrix is a type of matrix in which the triangular elements above the diagonal are non-zero and triangular elements below the diagonal are zero.

Example: [832046009]

  • Lower Triangular Matrix: Lower Triangular Matrix is a type of matrix in which the triangular elements above the diagonal are zero and triangular elements below the diagonal are non-zero.

Example: [800640579]

  • Symmetric Matrix: Symmetric matrix is a type of matrix which has values equal to its transpose A= AT, i.e., amn = anm . The square matrix is the type of symmetric matrix.

Example: [123245356]

  • Anti-symmetric Matrix: Anti-symmetric matrix is a type of matrix which has negative values to its transpose A= - AT , i.e., amn = -anm. This type of matrix is also called a “skew-symmetric matrix

Example: [0−2−32053−50]


Solved Examples

Question 1) If a matrix A has six numbers of elements, then determine the order of the matrix.

Solution) We know that the number of elements is 6. Now, you might think what is the order of a matrix? Let’s write down all the possible factors of the number 6.

  • 6 = 1 × 6

  • 6 = 6 × 1

  • 6 = 2 × 3

  • 6 = 3 × 2

We can get the number 6 in the following 4 ways.

Therefore, there are four possible orders of the matrix with 6 numbers of elements, that is, 6 = 1 × 6, 6 × 1, 2 × 3 and 3 × 2.


Question 2) What is the order of a matrix given below?

A= [349121113]

[312]

Solution)

  • The number of rows in the above matrix A = 2

  • The number of columns in the above matrix A= 3 .

  • Therefore, the order of the matrix is 2 × 3.

FAQs on Determine The Order of Matrix

1. How do you determine the order of a matrix?

To determine the order of a matrix, you count the number of horizontal rows and the number of vertical columns. The order is then written in the format m × n, where 'm' represents the number of rows and 'n' represents the number of columns. For example, a matrix with 2 rows and 3 columns has an order of 2 × 3.

2. What is the difference between the order of a matrix and the total number of elements in it?

The order of a matrix describes its dimensions (rows × columns), while the total number of elements is the count of all the entries within it. You can find the total number of elements by multiplying the number of rows and columns. For instance, a matrix of order 3 × 4 has a total of 12 elements (3 * 4).

3. As per the CBSE Class 12 syllabus, what are the possible orders for a matrix that has 11 elements?

According to the NCERT Class 12 syllabus, the number of elements is the product of the number of rows and columns. Since 11 is a prime number, its only integer factors are 1 and 11. Therefore, the only possible orders for a matrix with 11 elements are 1 × 11 (a row matrix) or 11 × 1 (a column matrix).

4. Is a matrix of order 4 × 2 the same as a matrix of order 2 × 4?

No, they are not the same. A matrix of order 4 × 2 has 4 rows and 2 columns. In contrast, a matrix of order 2 × 4 has 2 rows and 4 columns. Although both matrices contain the same number of elements (eight), their dimensions and shapes are different, making them distinct matrices.

5. Why is the standard convention of writing rows before columns (m × n) important for matrix operations?

This convention is crucial for maintaining consistency and avoiding errors in matrix algebra. It establishes a universal standard for defining matrix dimensions, which is fundamental for performing operations like:

  • Matrix Addition/Subtraction: This is only possible for matrices that have the exact same order.
  • Matrix Multiplication: The number of columns in the first matrix must equal the number of rows in the second matrix for the multiplication to be defined.
Following the rows × columns format ensures clarity and correctness in all calculations.

6. What is the key difference between the order of a square matrix and a rectangular matrix?

The primary difference lies in their dimensions:

  • A square matrix has an equal number of rows and columns. Its order is written as n × n (e.g., 2 × 2, 3 × 3). It is often referred to as a 'square matrix of order n'.
  • A rectangular matrix has a different number of rows and columns. Its order is written as m × n, where m ≠ n (e.g., 2 × 5, 3 × 1).