An antisymmetric matrix, also known as a skewsymmetric or antimetric matrix, is a square matrix that 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)

Applying 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 antisymmetric matrices is denoted . is a 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 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 must be an antisymmetric matrix.
The matrix exponential map of an antisymmetric matrix is an orthogonal matrix.