Definition:Rank/Matrix
Definition
Let $K$ be a field.
Let $\mathbf A$ be an $m \times n$ matrix over $K$.
Definition 1
The rank of $\mathbf A$, denoted $\map \rho {\mathbf A}$, is the dimension of the subspace of $K^m$ generated by the columns of $\mathbf A$.
That is, it is the dimension of the column space of $\mathbf A$.
Definition 2
Let $\mathbf A$ be converted to echelon form $\mathbf B$.
Let $\mathbf B$ have exactly $k$ non-zero rows.
Then the rank of $\mathbf A$, denoted $\map \rho {\mathbf A}$, is $k$.
Definition 3
The rank of $\mathbf A$, denoted $\map \rho {\mathbf A}$, is the largest number of elements in a linearly independent set of rows of $\mathbf A$.
Definition 4
The rank of $\mathbf A$, denoted $\map \rho {\mathbf A}$, is the largest number of elements in a linearly independent set of columns of $\mathbf A$.
Definition 5
The rank of $\mathbf A$, denoted $\map \rho {\mathbf A}$, is the order of the largest non-zero determinant that can be extracted from $\mathbf A$ by selecting rows and columns.
Also known as
The rank of a matrix can also be referred to as:
- its row rank
- its column rank.
Some sources denote the rank of a matrix $\mathbf A$ as:
- $\map {\mathrm {rk} } {\mathbf A}$
Examples
Arbitrary Matrix $1$
Let $\mathbf A = \begin {bmatrix} 0 & 1 & 1 \\ 0 & 1 & 0 \\ 1 & 1 & 0 \\ \end {bmatrix}$
The rank of $\mathbf A$ is $3$.
Arbitrary Matrix $2$
Let $\mathbf A = \begin {bmatrix} 1 & 1 & 1 & 1 \\ 2 & 3 & 4 & 5 \\ 3 & 4 & 5 & 6 \end {bmatrix}$
The rank of $\mathbf A$ is $2$.
Arbitrary Matrix $3$
Let $\mathbf A = \begin {bmatrix} 1 & 2 & 3 & 5 \\ 1 & 2 & 3 & 4 \\ 0 & 0 & 1 & 1 \end {bmatrix}$
The rank of $\mathbf A$ is $3$.
Arbitrary Matrix $4$
Let $\mathbf A = \begin {bmatrix} 1 & 1 & 2 & 3 \\ 0 & 0 & 1 & 1 \\ 0 & 0 & 3 & 3 \end {bmatrix}$
The rank of $\mathbf A$ is $2$.
Arbitrary Matrix $5$
Let $\mathbf A = \begin {bmatrix} -1 & 0 & 1 & 2 & 3 \\ 0 & 1 & 2 & 3 & 4 \\ -1 & -2 & -3 & -4 & -5 \end {bmatrix}$
The rank of $\mathbf A$ is $2$.
Also see
- Results about the rank of a matrix can be found here.