Generalized inverse
In mathematics, a generalized inverse or pseudoinverse of a matrix A is a matrix that has some properties of the inverse matrix of A but not necessarily all of them. The term "the pseudoinverse" commonly means the Moore–Penrose pseudoinverse.
The purpose of constructing a generalized inverse is to obtain a matrix that can serve as the inverse in some sense for a wider class of matrices than invertible ones. Typically, the generalized inverse exists for an arbitrary matrix, and when a matrix has an inverse, then its inverse and the generalized inverse are the same. Some generalized inverses can be defined in any mathematical structure that involves associative multiplication, that is, in a semigroup.
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[edit] Types of generalized inverses
The various kinds of generalized inverses include
- One-sided inverse (left inverse or right inverse) If the matrix A has dimensions
then use the left inverse if m > n and the right inverse if m < n
- Left inverse is given by
, i.e.
where In is the
identity matrix. - Right inverse is given by
, i.e.
where Im is the
identity matrix.
- Left inverse is given by
- Drazin inverse
- Bott–Duffin inverse
- Moore–Penrose pseudoinverse
[edit] See also
[edit] References
- Zheng, B; Bapat, R. B. (2004). "Generalized inverse A(2)T,S and a rank equation". Applied Mathematics and Computation 155: 407–415. doi:10.1016/S0096-3003(03)00786-0.
- S. L. Campbell and C. D. Meyer (1991). Generalized Inverses of Linear Transformations. Dover. ISBN 978-0486666938.
- Adi Ben-Israel and Thomas N.E. Greville (2003). Generalized inverses. Theory and applications (2nd ed.). New York, NY: Springer. ISBN 0-387-00293-6. http://www.zentralblatt-math.org/zmath/en/search/?q=an:1026.15004&format=complete.
- C. R. Rao and C. Radhakrishna Rao and Sujit Kumar Mitra (1971). Generalized Inverse of Matrices and its Applications. New York: John Wiley & Sons. pp. 240. ISBN 0-471-70821-6.
[edit] External links
- 15A09 Matrix inversion, generalized inverses in Mathematics Subject Classification, MathSciNet search
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then use the left inverse if
, i.e.
where
, i.e.
where
identity matrix.