Matrix Rank
Find the rank of a matrix up to 6×6: reduction to row echelon form by Gaussian elimination with a detailed solution and pivot columns.
The matrix rank calculator finds the rank of a rectangular matrix up to 6×6 by Gaussian elimination: it reduces the matrix to row echelon form and counts the non-zero rows. All row operations and the pivot columns are shown.
What is the rank
The rank of a matrix is the largest number of linearly independent rows (or columns). It is also the largest order of a non-zero minor. The rank does not exceed the smaller of the numbers of rows and columns.
How to find the rank by Gaussian elimination
- Use row operations (swapping, multiplying by a non-zero number, adding a multiple of another row) to reach row echelon form.
- These operations do not change the rank.
- The rank is the number of non-zero rows in the echelon form.
Example. A = (1 2 3 4; 2 4 6 8; 3 1 2 5).
The second row is twice the first and becomes zero; two non-zero rows remain — rank A = 2.
Where the rank is used
- Rouché–Capelli theorem: a linear system is consistent if the rank of its matrix equals the rank of the augmented matrix.
- An n×n matrix is invertible if its rank is n.
- The rank is the dimension of the space spanned by the rows (columns).
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