Column space
Vector spaces
Linear span
Linear transformation
Linear independence
Linear combination
Basis
Column space
Row space
Dual space
Orthogonality
Eigenvector
Eigenvalue
Least squares regressions
Outer product
Cross product
Dot product
Transpose
Matrix decomposition
If one considers the matrix as a linear transformation from Rn to Rm, then the column space of the matrix equals the image of this linear transformation.
The column spaces of a matrix Z is the set of all linear combinations of the columns in Z. If Z = [a1, .... , an], then Col Z = Span {a1, ...., an}
See also row space.