Matrix Rank Calculator

Compute rank of a 3x3 matrix using elimination.

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Formula

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Core Formula
Rank(A)=number of pivots\text{Rank}(A) = \text{number of pivots}

How it works: Row reduction identifies pivot columns and rank.

Worked Example

Enter 3x3 values and compute rank.

Understanding Matrix Rank

The rank of a matrix is the number of linearly independent rows (or equivalently, columns). It tells you how much independent information the matrix contains.

  • Rank is found by reducing the matrix to row echelon form and counting the nonzero rows (pivot positions)
  • A 3x3 matrix with rank 3 is called full rank, meaning all rows are independent and the matrix is invertible
  • Rank less than 3 means some rows are linear combinations of others, and the system may have no solution or infinitely many
  • The rank-nullity theorem states: rank + nullity = number of columns, where nullity is the dimension of the null space

Rank is a fundamental concept in linear algebra that determines whether systems of equations have unique solutions, infinite solutions, or no solutions.

You can also calculate changes using our Matrix Determinant Calculator, 3x3 Determinant Calculator, Inverse Matrix Calculator or Matrix Transpose Calculator.

Frequently Asked Questions

What is full rank for a 3x3 matrix?

Full rank for a 3x3 matrix is rank 3. This means all three rows are linearly independent, the determinant is nonzero, and the matrix is invertible.

What is the rank-nullity theorem?

Rank plus nullity equals the number of columns. For a 3x3 matrix, if rank is 2, nullity is 1, meaning the null space has dimension 1.

How does rank relate to solving equations?

Full rank means the system Ax = b has a unique solution. Rank less than the number of unknowns means the system is either inconsistent (no solution) or has infinitely many solutions.

Is rank the same as number of nonzero rows?

After row reduction to echelon form, yes. The rank equals the number of nonzero rows, which equals the number of pivot positions.

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