Singularity
A square matrix \(\mathbf{A}\) is nonsingular if \(\mathbf{Ax} = \mathbf{0}\) implies that \(\mathbf{x} = \mathbf{0}\). If a matrix fails to be nonsingular, it is called singular.
- A square matrix is nonsingular if its rank is equal to the number of rows or columns.