An antisymmetric matrix, also known as a skew-symmetric or antimetric matrix, is a square matrix whose entries are real numbers or complex numbers and which satisfies the identity
|
(1)
|
where
is the matrix transpose.
For example,
|
(2)
|
is antisymmetric.
A matrix may be tested to see if it is antisymmetric in the Wolfram
Language using AntisymmetricMatrixQ[m].
In component notation, this becomes
|
(3)
|
Letting ,
the requirement becomes
|
(4)
|
so an antisymmetric matrix must have zeros on its diagonal. The general
antisymmetric matrix is of the form
|
(5)
|
If
is nonsingular, applying its matrix
inverse
to both sides of the antisymmetry condition gives
|
(6)
|
Any square matrix can be expressed as the sum of symmetric and antisymmetric parts. Write
|
(7)
|
But
|
(8)
|
|
(9)
|
so
|
(10)
|
which is symmetric, and
|
(11)
|
which is antisymmetric.
All
antisymmetric matrices of odd dimension
are singular. This follows from the fact that
|
(12)
|
So, by the properties of determinants,
|
(13)
| |||
|
(14)
|
Therefore, if
is odd, then
|
(15)
|
thus proving all antisymmetric matrices of odd dimension are singular.
The set of real antisymmetric matrices is
denoted
.
is a real vector space, and the commutator
|
(16)
|
of two antisymmetric matrices is antisymmetric. Hence, the antisymmetric matrices are a Lie
algebra, which is related to the Lie group of orthogonal matrices. In particular, suppose is a differentiable path of orthogonal matrices
through
,
i.e.,
for all
. The derivative at
of both sides must be equal so
.
That is, the derivative of
at the identity matrix
must be an antisymmetric matrix.
The matrix exponential of a real antisymmetric matrix is an orthogonal matrix.