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Stephen Wolfram
SEARCH MATHEMATICA 8 DOCUMENTATION
THIS IS DOCUMENTATION FOR AN OBSOLETE PRODUCT.
SEE THE
DOCUMENTATION CENTER
FOR THE LATEST INFORMATION.
Mathematica
>
Mathematics and Algorithms
>
Matrices and Linear Algebra
>
Matrix Operations
>
Built-in
Mathematica
Symbol
Vectors and Matrices
Matrix Inversion
Tutorials »
|
PseudoInverse
LinearSolve
RowReduce
NullSpace
LinearSolveFunction
MatrixRank
See Also »
|
Linear Systems
Matrices and Linear Algebra
Matrix Operations
More About »
Inverse
Inverse
[
m
]
gives the inverse of a square matrix
m
.
MORE INFORMATION
Inverse
works on both symbolic and numerical matrices.
For matrices with approximate real or complex numbers, the inverse is generated to the maximum possible precision given the input. A warning is given for ill-conditioned matrices.
Inverse
[
m
,
Modulus
->
n
]
evaluates the inverse modulo
n
.
Inverse
[
m
,
ZeroTest
->
test
]
evaluates
test
[
m
[[
i
,
j
]]]
to determine whether matrix elements are zero. The default setting is
ZeroTest
->(#
0&)
.
A
Method
option can also be given. Possible settings are as for
LinearSolve
.
EXAMPLES
CLOSE ALL
Basic Examples
(3)
Inverse of a 2×2 matrix:
Enter the matrix in a grid:
Inverse of a symbolic matrix:
Inverse of a 2×2 matrix:
In[1]:=
Out[1]=
Enter the matrix in a grid:
In[1]:=
Out[1]=
Inverse of a symbolic matrix:
In[1]:=
Out[1]=
Applications
(3)
Exact inverse of a Hilbert matrix:
Plot the imaginary parts of a Vandermonde matrix for a discrete Fourier transform:
Plot the inverse of a matrix, shading according to absolute value:
Show positive entries as black and others as white:
Properties & Relations
(1)
Possible Issues
(3)
The inverse may not exist:
Typically a pseudo inverse does:
Full inverses do not exist for rectangular matrices:
Accurate inverses cannot be found for ill-conditioned machine-precision numerical matrices:
Exact result:
Arbitrary-precision result:
SEE ALSO
PseudoInverse
LinearSolve
RowReduce
NullSpace
LinearSolveFunction
MatrixRank
TUTORIALS
Vectors and Matrices
Matrix Inversion
RELATED LINKS
Implementation notes: Numerical and Related Functions
MORE ABOUT
Linear Systems
Matrices and Linear Algebra
Matrix Operations
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