For $A\in\mathbb R^{m\times n}$ of rank $r$, the four fundamental subspaces are: column space in $\mathbb R^m$ (dimension $r$); row space in $\mathbb R^n$ (dimension $r$); right null space in $\mathbb R^n$ (dimension $n-r$); left null space $\ker A^T$ in $\mathbb R^m$ (dimension $m-r$). Orthogonal complement pairs connect row/right-null and column/left-null spaces.
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- Definition of matrix null space (right)The right null space is $\ker A=\{x\in\mathbb F^n:Ax=0\}$ for $A\in\mathbb F^{m\times n}$. It is a subspace of the...
- Definition of matrix null space (left)For real $A\in\mathbb R^{m\times n}$, the left null space is $\ker A^T=\{y:y^TA=0\}\subseteq\mathbb R^m$. For complex...
- Definition of column space of a matrixThe column space $\operatorname{Col}(A)$ is the span of the columns of $A$, equivalently $\{Ax:x\in\mathbb F^n\}$. It...
- The column space of an m-by-n matrix is a subspace of R^m (or C^m)For $A\in\mathbb F^{m\times n}$, $\operatorname{Col}(A)$ is a subspace of $\mathbb F^m$. Indeed, if $u=Ax$ and...
- The pivot columns of a matrix are a basis for the column space.The columns of the original matrix whose indices are pivot columns in an echelon form form a basis of its column...
- Row operations do not necessarily preserve the column space.Row operations need not preserve column space. For $A=(1,0)^T$, swapping its two rows yields $(0,1)^T$, changing the...
- Nonzero rows of reduced row-echelon form give a basis for the row spaceThe nonzero rows of RREF$(A)$ form a basis for the row space of $A$. Elementary row operations preserve row span, and...
- Definition of row space of a matrixThe row space is the span over $\mathbb F$ of the rows of a matrix. Its dimension equals column rank. Over $\mathbb...
- Row equivalent matrices have the same row space.Every elementary row operation replaces rows by invertible linear combinations of rows. Thus the new row space is...
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