Linear Algebra Basis Calculator

Build a basis from any vector set. See pivots, rank, dependence, span, and null space. Export clean results for homework or deeper verification checks.

Basis Calculator

Use spaces, commas, tabs, or semicolons.
Optional span membership test.

Example Data Table

Vector x y z Meaning
v1 1 0 1 Independent pivot vector
v2 0 1 1 Independent pivot vector
v3 1 1 2 Combination of v1 and v2
v4 2 3 5 Combination of v1 and v2

Formula Used

Let the input vectors form a matrix A = [v1 v2 ... vm].

Reduced row echelon form is written as R = rref(A).

Rank(A) = number of pivot columns.

Nullity(A) = number of columns - Rank(A).

Column space basis = original columns of A at pivot positions.

Row space basis = nonzero rows of R.

Null space basis = vectors x that satisfy Ax = 0.

Target membership is tested by solving Ax = b.

How to Use This Calculator

Enter one vector per line when your data is written as a list.

Choose column mode when each matrix column is a vector.

Add a target vector if you want a span test.

Set tolerance lower for exact integer work.

Set tolerance higher for rounded decimal measurements.

Click calculate to see the result above the form.

Use CSV or PDF buttons to save the result.

Understanding Linear Algebra Basis Results

What a Basis Means

A basis is a smallest useful set of vectors. It spans a space without repeating direction. This calculator checks those ideas with row reduction. It accepts a matrix or a list of vectors. Then it finds pivots, rank, row space, column space, null space, and independent input vectors.

Why Row Reduction Helps

The main step is reduced row echelon form. Each pivot marks a leading variable or a leading vector. Pivot columns from the original matrix form a basis for the column space. Nonzero rows from the reduced matrix form a basis for the row space. Free variables form the null space basis.

Choosing the Right Input Mode

You can enter vectors as rows or as columns. This is useful for homework, engineering notes, data checks, and abstract algebra practice. The orientation setting tells the tool how your vectors are arranged. If each line is a vector, choose row mode. If each column is a vector, choose column mode.

Testing a Target Vector

The target vector option tests span membership. The calculator solves a linear system with the target as the right side. A consistent system means the target lies in the span. The coordinate output gives one valid combination. Dependent sets may have many combinations, so free variables are set to zero.

Rank and Nullity

Rank is the number of pivots. Nullity is the number of columns minus rank. A full column rank matrix has independent columns. A square matrix with full rank has a column basis for the whole coordinate space. A zero matrix has no nonzero pivot direction.

Reading the Output

Results are shown in a clear order. First, the summary appears. Next, pivot columns and basis vectors appear. Then the reduced matrix and null space basis appear. The export buttons save the same work for records.

Accuracy Tips

Use a small tolerance for clean integer data. Use a larger tolerance for rounded decimal data. The precision field controls display only. It does not change the internal row operations. Fractions are approximated for readable answers.

Study Value

This tool is educational. It helps verify hand work and explain structure. It does not replace a proof. Always check the vector arrangement, units, and expected dimension before using final answers.

For best results, keep every row length equal. Separate numbers with spaces, commas, tabs, or semicolons before pressing calculate once for review.

FAQs

What is a basis in linear algebra?

A basis is a set of independent vectors that spans a space. Every vector in that space can be written as a combination of the basis vectors.

What does rank mean?

Rank is the number of pivot positions in the matrix. It shows the dimension of the column space and row space.

What is a pivot column?

A pivot column is a column with a leading entry after row reduction. Original pivot columns form a basis for the column space.

Can I enter fractions?

Yes. You can enter values like 1/2, -3/4, or 2.5. The calculator converts them before row reduction.

What is the null space?

The null space is the set of all vectors x that satisfy Ax = 0. Its basis is built from free variables.

Why does the target have many solutions?

Many solutions happen when the input vectors are dependent. The calculator reports one solution by setting free variables to zero.

What tolerance should I use?

Use a very small tolerance for exact numbers. Use a larger tolerance when your inputs are rounded measurements or floating values.

Does row mode change my vectors?

No. Row mode only tells the calculator how to read your list. It treats each line as one vector in the set.

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