A singular matrix is a square matrix
The following are all equivalent statements—i.e., they are true if and only if the others are true.
- The matrix
is singular. - There are either no nontrivial solutions or infinitely many solutions to
. - The inverse of
does not exist. - The matrix
has linearly dependent rows or columns. - The matrix
has at least one row or column that can be expressed as a linear combination of the others.