0% found this document useful (0 votes)
102 views4 pages

Matrix Rank Calculation Guide

The rank of a matrix is defined as the order of the largest non-zero minor (determinant of a submatrix). To find the rank of a matrix: 1) Find the largest square submatrix and calculate its determinant 2) The rank is equal to the size of the largest submatrix whose determinant is non-zero 3) An alternative method is to row reduce the matrix into echelon form, where the number of non-zero rows is equal to the rank.

Uploaded by

dynamiccareedu
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
102 views4 pages

Matrix Rank Calculation Guide

The rank of a matrix is defined as the order of the largest non-zero minor (determinant of a submatrix). To find the rank of a matrix: 1) Find the largest square submatrix and calculate its determinant 2) The rank is equal to the size of the largest submatrix whose determinant is non-zero 3) An alternative method is to row reduce the matrix into echelon form, where the number of non-zero rows is equal to the rank.

Uploaded by

dynamiccareedu
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 4

Rank of a Matrix

Minor of Matrix

If any 𝑟 rows and any 𝑟 columns from an 𝑚 × 𝑛 matrix 𝐴 are retained and remaining (𝑚 −
𝑟) rows and (𝑛 − 𝑟) columns removed, then the determinant of the remaining 𝑟 × 𝑟
submatrix of 𝐴 is called minor of 𝐴 of order 𝑟.

Rank of matrix

If in an 𝑚 × 𝑛 matrix 𝐴, at least one of its 𝑟 × 𝑟 minors is different from zero while all the
minors of order (𝑟 + 1) are zero, then 𝑟 is defined as the rank of the matrix 𝐴.

In other words, Rank of a matrix is defined as the order of the largest square sub matrix, of
the given matrix, whose determinant is not zero. Denoted as ‘𝜌(𝐴)’.

Finding of Rank of a matrix

Using sub-matrix/mirors Forming Echelon form

2 3 1
e.g. (
A= 4 5 6)
2 3 9
2 3
A₁ = ( )
4 5
A₁ ⸦ A

Finding Rank

Step 1: Find largest sub matrix.

Step 2: Find the determinant not zero.

2 3 1
|𝐴| = (4 5 6)
2 3 9
= 2(45 − 18)

= 2 ∗ 27

= 54
|𝐴| = 54

≠0

𝜌(𝐴) = 3

1 2 3
PROB: 𝐵 = (2 4 7 ) 𝜌(𝐵) = ?
3 6 10

SOLUTION:

The largest order of square sub matrix is 3 × 3

Now, |𝐵| = 1(40 − 42) − 2(20 − 21) + 3(12 − 12)

= −2 + 2

=0

|𝐵₁| = |1 2|
2 4
=4−4

=0

|𝐵₂| = |4 7 |
6 10
= 40 − 42

= −2

≠0

4 7
As 𝐵 2 = ( ) which is order of 2 × 2 is of determinant not zero hence the rank of the
6 10
given matrix is 𝜌(𝐵) = 2.

Echelon Matrices
A matrix A is called an echelon matrix, or is said to be in echelon form, if the following two
conditions hold (where a leading nonzero element of a row of A is the first nonzero element
in the row):
(1) All zero rows, if any, are at the bottom of the matrix.
(2) Each leading nonzero entry in a row is to the right of the leading nonzero entry in the
preceding row.

Forming Echelon form

1 2 3
PROB: 𝐴 = (2 4 7 ) to find rank of A by forming Echelon form.
3 6 10

1 2 3
SOLUTION: 𝐴 = (2 4 7)
3 6 10
1 2 3
≈ (0 0 −1) 𝑅2′ = 2 𝑅₁ − 𝑅₂
0 0 −1
𝑅′₃ = 3𝑅₁ − 𝑅₃

1 2 3
≈( )
0 0 −1

In this Echelon form, there are two non-zero rows, hence the rank of the given matrix is
𝜌(𝐴) = 2.

1 2 3
* 𝐴 = (2 5 8)
4 10 18

1 2 3
≈ (0 0 −2)
0 0 −2

1 3 4 3
* 𝐶 = (3 9 12 4)
1 3 4 1

1 3 4 3
≈ (0 0 0 5)
0 0 0 2
1 3 4 3
≈ (0 0 0 5)
0 0 0 0

In this Echelon form there is 2 pivot elements so, the rank of the matrix 𝜌(𝐴) = 2.

You might also like