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Free Row Space Basis Calculator

Find a basis for a matrix's row space and its rank, using the non-zero rows of its row echelon form.

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The row space of a matrix is the set of all possible linear combinations of its rows, and — unlike the column space — a basis for it can be read directly off the row echelon form, since row operations never change the row space.

This calculator finds a basis for a matrix's row space and its rank.

How it works

Enter a matrix of any size. The calculator reduces it to row echelon form, then takes every non-zero row of that reduced form directly as a basis vector for the row space.

  1. Click Calculate to see your results.

Examples

[[1,2],[2,4]]

Since the second row is exactly twice the first, the row echelon form has only one non-zero row — the row space basis is that row, (1, 2), giving a rank of 1.

Who should use it

  • Finding a basis for a matrix's row space in a linear algebra course.
  • Checking the rank of a matrix via its row space dimension.

Industry applications

  • Linear algebra and mathematics education
  • Engineering and data science coursework

Advantages

  • Correctly reads the basis directly from the row-reduced form, which is valid for row space (unlike column space).
  • Works for rectangular matrices, not just square ones.

Limitations

  • Reports a standard basis derived from row reduction — a different (but equally valid) basis could also be constructed.

Common mistakes to avoid

  • Assuming row space and column space are the same subspace just because they share the same dimension (rank) — they're generally different subspaces entirely.
  • Using the ORIGINAL matrix's rows instead of the reduced form's rows — unlike column space, row space basis vectors should come from the reduced (echelon) form.

Best practices

  • Remember the key asymmetry: row space basis comes from the REDUCED form's rows, while column space basis comes from the ORIGINAL matrix's columns — mixing these up is a common error.

Tips

  • Pair this with the site's Column Space Basis Calculator on the same matrix — both report the same rank, a good way to double-check your row reduction work.

Frequently asked questions

Yes, with no signup and no limit on how many matrices you check.
Row operations (swapping, scaling, and combining rows) never change which linear combinations of rows are reachable, so the row space is preserved throughout row reduction — column space isn't preserved this way, which is why that calculator instead reads pivot columns from the ORIGINAL matrix.
Row space describes the span of a matrix's rows (read directly from the reduced form); column space describes the span of its columns (read from the ORIGINAL matrix's pivot columns) — both have the same dimension (the rank), but they're generally different subspaces.
The rank is the dimension of the row space (and equally, the column space) — the number of linearly independent rows (or columns) in the matrix.

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