Difference between revisions of "Singular matrix"
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| − | + | A '''singular matrix''' is one that has a zero image of a nonzero vector. It is also a square matrix that does not have an inverse (a ''noninvertible'' matrix). | |
The term "nonsingular matrix" is one whose [[kernel]] is 0. This type of matrix is invertible. | The term "nonsingular matrix" is one whose [[kernel]] is 0. This type of matrix is invertible. | ||
[[Category:linear algebra]] | [[Category:linear algebra]] | ||
Revision as of 13:27, November 7, 2012
A singular matrix is one that has a zero image of a nonzero vector. It is also a square matrix that does not have an inverse (a noninvertible matrix).
The term "nonsingular matrix" is one whose kernel is 0. This type of matrix is invertible.