Rank of Matrix Calculator

Unlock the power of matrices with the Rank of Matrix Calculator, designed to provide quick and accurate solutions and simplify the matrix rank calculations easily.

Table of Contents:

Introduction to the Rank of Matrix Calculator:

Rank of matrix calculator is an online tool that helps you to evaluate the rank of rows and columns from the given matrix. Our tool helps you to find rank of matrix using different methods that give the best suitable result for the given matrices.

Rank of Matrix Calculator with steps

The matrix rank calculator is a handy tool that helps you to get the solution of the system of linear equations to find the rank of the matrix quickly or easily.

What is the Rank of a Matrix?

The rank of the matrix is a process in linear algebra that helps you to know the matrix's dimension from the system of linear equations. It also tells the maximum number of rows and columns that are linearly independent.

The rank provides you with crucial information about the matrix's properties, such as invertible and the dimension of its column space and row space spanning.

How to Find the Rank of a Matrix?

There are different methods used to find rank of matrix but you need to know about the basis of the matrix. These methods are minor or echelon forms.

Let's see how the rank of a matrix calculator uses both methods to perform the rank of the matrices calculations. We can understand this with the help of an example.

How to Calculate the Rank of a 3x3 Matrix?

Suppose a 3 by 3 matrix to find the rank.

$$ A \;=\; \left[ \begin{matrix} 1 & 2 & 1 \\ -2 & -3 & 1 \\ 3 & 5 & 0 \\ \end{matrix} \right] $$

Solution:

To find the rank of the given matrix, the rank of matrix calculator uses the echelon form method in which row operation is used to solve the given matrix in simplest form.

Step 1:

First, check whether the first row leading entity is 1 or not. If not then make the entity into 1. In this matrix, the leading entity of the first row is 1 so we proceed to the next step.

Step 2:

Multiply 2 with R1 and then add with R2 to make zero at the bottom leading entity of the first row and 1 value in the second row.

Step 3:

Again, multiply R1 with 3 then subtract R3 from R1 to make the first value of the third row zero.

$$ R_2: R_2 + 2R_1 $$

$$ R_3: R_3 - 3R_1 $$

$$ A \;=\; \left[ \begin{matrix} 1 & 2 & 1 \\ 0 & 1 & 3 \\ 0 & -1 & -3 \\ \end{matrix} \right] $$

Step 4:

R3 is added with R2.

$$ R_3: R_3 + R_2 $$

$$ A \;=\; \left[ \begin{matrix} 1 & 2 & 1 \\ 0 & 1 & 3 \\ 0 & 0 & 0 \\ \end{matrix} \right] $$

Step 5:

To find the number of rows subtract a total number of rows n from the remaining number of rows.

$$ R \;=\; n - r $$

$$ R \;=\; 3 - 1 \;=\; 2 $$

Therefore the rank of the matrix is 2.

How to Use Rank of Matrix Calculator?

The matrix rank calculator has a simple interface that helps you to solve the given system of linear equations. You just need to put your equation in this calculator and it will give you results immediately. These steps are

  • Select the order of the matrix from the given list of the rank of a matrix calculator or as per your problem of the matrix to find the rank.
  • Enter the element of your matrix in the input field for solving the rank of the given equation.
  • Check your given input equation value before clicking the calculate button to get the result of rank of the matrix.
  • Click the “Calculate” button for the solution of the Rank of matrix method problems.
  • Click the “Recalculate” button for the evaluation of more examples of the linear equation to check the rank.

Results from Matrix Rank Calculator:

Rank of matrix Calculator provides you with a solution to linear equation questions when you click on the calculate button. It may include as:

  • In the Result Box:

When you click on the result button of the rank calculator matrix you get the rank value of the given matrix problem using the elimination method.

  • Possible Steps Box:

Click on the steps option so that you get the solution of the rank or dimension of the matrix.

Advantages of Rank of a Matrix Calculator?

The rank calculator matrix has many advantages that you get when you use it to evaluate the given equation and get the rank of the matrix in a solution easily. These advantages are

  • The matrix range calculator is a trustworthy tool that always provides you with an accurate ranking of the matrix in the solution.
  • It is a speedy tool that find rank of matrix problems with solutions in a few second.
  • The matrix rank calculator is a learning tool that helps you to enhance your learning about the rank of the matrix concept without going to any teacher.
  • It is a handy tool that solves the rank of matrix problems with various methods without any external effort.
  • Rank of matrix calculator is a free tool that allows you to use it for the calculation without charging a fee.
Related References
Frequently Ask Questions

How to find rank of a non square matrix?

To find the rank of a non-square matrix to determine the maximum number of linearly independent rows or columns within the matrix. Here's a way to find the rank of a non-square matrix:

  1. Start with the given non-square matrix A.
  2. Perform the row operations to transform the matrix into its row echelon form (REF) or reduced row echelon form (RREF).
  3. Then count the number of nonzero rows in the resulting matrix equal to the original matrix's rank.
  4. The rank of the matrix provides insights into its properties.

How to find rank of a matrix without echelon form?

To find the rank of a matrix without using echelon form an alternative method is used that is known as Rank-Nullity Theorem.

Step-by-step guide to finding the rank of a matrix without using echelon form:

  1. Start with the given matrix A and apply the echelon form through row operations to simplify the matrix.
  2. To reduce the rows to find its linearly independent for the given matrix.
  3. After calculation, count the number of nonzero rows in the matrix because it is equal to the rank of the original matrix.
  4. Use Rank-Nullity Theorem such as,

rank(A) + nullity(A) =n

The nullity(A) is the dimension of the null space of A and to get the nulity which is the number of linearly independent solutions to Ax = 0.

  1. Lastly, enter the rank and nullity of the given matrix A to get the rank of the given matrix.

Can the rank of a matrix be zero?

No, the rank of a matrix cannot be zero. Only the zero matrix has a rank of zero in linear algebra. The rank of a matrix is the number of rows or columns linearly independent in the matrix.

For the matrix, at least one non-zero row exists that has a rank is at least 1. Therefore, the matrix did not have 0 rank, if and only if it is the zero matrix.

How to find the rank of a matrix using a determinant?

For finding the rank of the matrix determinant method can be used. For this, suppose a 2 by 2 matrix to find the rank.

$$ A \;=\; \left[ \begin{matrix} 3 & 4 \\ 2 & 6 \\ \end{matrix} \right] $$

To find the rank of the matrix, we use the determinant method.

Step 1:

Find the determinant of the given matrix.

$$ D \;=\; (3 \times 6) − (4 \times 2) $$

Step 2:

Calculate the given determinant values,

$$ D \;=\; 18 − 8 $$

$$ D \;=\; 10 $$

Step 3:

If the determinant is not equal to zero then the rank of the matrix is equal to a number of rows and columns.

Step 4:

As you see D = 10 which means it is not equal to zero so the rank of the matrix is 2 (because the number of rows or columns is 2.

How to find rank of augmented matrix?

To find the rank of an augmented matrix, you can use the same rule as you use to find the rank of a regular matrix. Suppose a system of linear equations:

$$ 2x + 3y \;=\; 5 $$

$$ 4x - y \;=\; 3 $$

  • Change the given system of equations into an augmented matrix,

$$ \left[ \begin{array}{rr|r} 2 & 3 & 5 \\ 4 & -1 & 3 \end{array} \right] $$

  • Apply the row operations so the matrix changes into row-echelon form or reduced row-echelon form.

$$ \left[ \begin{array}{rr|r} 1 & \frac{3}{2} & \frac{5}{2} \\ 4 & -1 & 3 \end{array} \right] $$

$$ \left[ \begin{array}{rr|r} 1 & \frac{3}{2} & \frac{5}{2} \\ 4 & -7 & -7 \end{array} \right] $$

  • After putting the matrix into row-echelon form or reduced row-echelon form, count the number of non-zero rows. This count will be the rank of the augmented matrix.
  • The non-zero row is 1. So, the rank of the augmented matrix is 1. This means that the system has a unique solution since there is one linearly independent equation.

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