The matrix inverse of a square matrix
, sometimes called a reciprocal matrix, is a matrix
such that
 |
(1)
|
where
is the identity matrix. Courant and Hilbert (1989,
p. 10) use the notation
to denote the inverse matrix.
A square matrix
has an inverse iff the determinant
(Lipschutz 1991, p. 45). The
so-called invertible matrix theorem is
a major result in linear algebra which associates
the existence of a matrix inverse with a number of other equivalent
properties. A matrix possessing an inverse is called an
invertible matrix, or nonsingular.
The matrix inverse of a square matrix
may be taken in the Wolfram
Language using the function Inverse[m].
For a
matrix
![A=[a b; c d],](/images/equations/MatrixInverse/NumberedEquation2.svg) |
(2)
|
the matrix inverse is
For a
matrix
![A=[a_(11) a_(12) a_(13); a_(21) a_(22) a_(23); a_(31) a_(32) a_(33)],](/images/equations/MatrixInverse/NumberedEquation3.svg) |
(5)
|
the matrix inverse is
![A^(-1)=1/(|A|)[|a_(22) a_(23); a_(32) a_(33)| |a_(13) a_(12); a_(33) a_(32)| |a_(12) a_(13); a_(22) a_(23)|; ; |a_(23) a_(21); a_(33) a_(31)| |a_(11) a_(13); a_(31) a_(33)| |a_(13) a_(11); a_(23) a_(21)|; ; |a_(21) a_(22); a_(31) a_(32)| |a_(12) a_(11); a_(32) a_(31)| |a_(11) a_(12); a_(21) a_(22)|].](/images/equations/MatrixInverse/NumberedEquation4.svg) |
(6)
|
A general
matrix can be inverted using methods such as the Gauss-Jordan
elimination, Gaussian elimination, or
LU decomposition.
The inverse of a product
of matrices
and
can be expressed in terms of
and
. Let
 |
(7)
|
Then
 |
(8)
|
and
 |
(9)
|
Therefore,
 |
(10)
|
so
 |
(11)
|
where
is the identity matrix, and
 |
(12)
|
See also
Drazin Inverse,
Gauss-Jordan Elimination,
Gaussian Elimination,
Invertible Matrix,
LU
Decomposition,
Matrix,
Matrix
1-Inverse,
Matrix Addition,
Matrix
Multiplication,
Moore-Penrose Matrix
Inverse,
Pseudoinverse,
Singular
Matrix,
Strassen Formulas Explore this topic in the MathWorld classroom
Portions of this entry contributed by Christopher
Stover
Explore with Wolfram|Alpha
References
Ayres, F. Jr. Schaum's Outline of Theory and Problems of Matrices. New York: Schaum, p. 11,
1962.Ben-Israel, A. and Greville, T. N. E. Generalized
Inverses: Theory and Applications. New York: Wiley, 1977.Courant,
R. and Hilbert, D. Methods
of Mathematical Physics, Vol. 1. New York: Wiley, 1989.Jodár,
L.; Law, A. G.; Rezazadeh, A.; Watson, J. H.; and Wu, G. "Computations
for the Moore-Penrose and Other Generalized Inverses." Congress. Numer. 80,
57-64, 1991.Lipschutz, S. "Invertible Matrices." Schaum's
Outline of Theory and Problems of Linear Algebra, 2nd ed. New York: McGraw-Hill,
pp. 44-45, 1991.Nash, J. C. Compact
Numerical Methods for Computers: Linear Algebra and Function Minimisation, 2nd ed.
Bristol, England: Adam Hilger, pp. 24-26, 1990.Press, W. H.;
Teukolsky, S. A.; Vetterling, W. T.; and Flannery, B. P. "Is
Matrix Inversion an
Process?" §2.11 in Numerical
Recipes in FORTRAN: The Art of Scientific Computing, 2nd ed. Cambridge, England:
Cambridge University Press, pp. 95-98, 1992.Rosser, J. B.
"A Method of Computing Exact Inverses of Matrices with Integer Coefficients."
J. Res. Nat. Bur. Standards. 49, 349-358, 1952.Referenced
on Wolfram|Alpha
Matrix Inverse
Cite this as:
Weisstein, Eric W., with contributions by Christopher Stover. "Matrix Inverse." From MathWorld--A
Wolfram Resource. https://mathworld.wolfram.com/MatrixInverse.html
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