Ma · Mathematics

How to Find the Determinant of a Skew-Symmetric Matrix

Published By the 9to5Science editorial team

At a glance

  1. 1. Check the definition

    Confirm that transposing the matrix gives its negative: Aᵀ = −A.

  2. 2. Check the order

    If the matrix has odd order, its determinant is zero.

  3. 3. Handle even order

    For an even-order matrix, use its Pfaffian; the determinant is the Pfaffian squared.

  4. 4. Substitute carefully

    For a 4 × 4 matrix, compute af − be + cd, then square the result.

A matrix is skew-symmetric if transposing it changes every entry’s sign: AT=−AA^{T}=-A. The question does not specify the matrix entries, so there is no single numerical determinant to calculate. But the order of a skew-symmetric matrix gives an immediate result when it is odd, and a useful Pfaffian formula handles even orders.

These facts apply to matrices over the real or complex numbers. More generally, the odd-order argument works over a field whose characteristic is not 2.

The determinant rule for odd order

Suppose AA is an n×nn\times n skew-symmetric matrix. A matrix and its transpose have the same determinant, while multiplying an n×nn\times n matrix by −1-1 multiplies its determinant by (−1)n(-1)^n. Therefore,

det⁡(A)=det⁡(AT)=det⁡(−A)=(−1)ndet⁡(A).\begin{aligned} \det(A) &= \det(A^T) \\ &= \det(-A) \\ &= (-1)^n\det(A). \end{aligned}

When nn is odd, (−1)n=−1(-1)^n=-1, so this says det⁡(A)=−det⁡(A)\det(A)=-\det(A). Over the real or complex numbers, that forces det⁡(A)=0\det(A)=0.

For example, any 3×33\times3 skew-symmetric matrix has the form

A=(0ab−a0c−b−c0),A=\begin{pmatrix} 0 & a & b \\ -a & 0 & c \\ -b & -c & 0 \end{pmatrix},

and its determinant is zero, regardless of the values of aa, bb, and cc. The same result holds for every odd order, not just 3.

What happens for even order?

For even order, the sign argument gives no conclusion: (−1)n=1(-1)^n=1, so it only says det⁡(A)=det⁡(A)\det(A)=\det(A). The determinant can be zero or nonzero. For instance,

(0a−a0)\begin{pmatrix}0&a\\-a&0\end{pmatrix}

has determinant a2a^2, which is nonzero when a≠0a\ne0.

For even-order skew-symmetric matrices, the general identity is

det⁡(A)=Pf⁡(A)2,\det(A)=\operatorname{Pf}(A)^2,

where Pf⁡(A)\operatorname{Pf}(A) is the Pfaffian. It is a polynomial in the entries above the diagonal. For a 4×44\times4 matrix

A=(0abc−a0de−b−d0f−c−e−f0),A=\begin{pmatrix} 0 & a & b & c \\ -a & 0 & d & e \\ -b & -d & 0 & f \\ -c & -e & -f & 0 \end{pmatrix},

the Pfaffian is af−be+cdaf-be+cd, so

det⁡(A)=(af−be+cd)2.\det(A)=(af-be+cd)^2.

This formula is often quicker than expanding the determinant by minors.

Worked 4 × 4 example

Consider

A=(02−13−20411−405−3−1−50).A=\begin{pmatrix} 0 & 2 & -1 & 3 \\ -2 & 0 & 4 & 1 \\ 1 & -4 & 0 & 5 \\ -3 & -1 & -5 & 0 \end{pmatrix}.

It is skew-symmetric: its diagonal entries are zero, and each entry below the diagonal is the negative of the corresponding entry above it. Match its entries to the 4 × 4 pattern: a=2a=2, b=−1b=-1, c=3c=3, d=4d=4, e=1e=1, and f=5f=5. Then

Pf⁡(A)=af−be+cd=(2)(5)−(−1)(1)+(3)(4)=23.\begin{aligned} \operatorname{Pf}(A) &= af-be+cd \\ &= (2)(5)-(-1)(1)+(3)(4) \\ &= 23. \end{aligned}

Thus

det⁡(A)=232=529.\det(A)=23^2=529.

The determinant is positive here because it is the square of a real number.

Common mistakes

  • Assuming every skew-symmetric matrix has determinant zero. That is guaranteed only for odd order. The 2 × 2 example above has determinant a2a^2.
  • Using the odd-order proof for an even-order matrix. The proof relies on (−1)n=−1(-1)^n=-1, which is true only when nn is odd.
  • Forgetting the signs in the 4 × 4 Pfaffian. The order is af−be+cdaf-be+cd, not a sum of all three products. Substitute the signed matrix entries as written.
  • Treating “skew-symmetric” as enough information for a numerical answer. It determines the odd-order result, but an even-order determinant depends on the actual entries.

If a particular structured matrix was intended, its entries or defining pattern are needed to compute its specific determinant. The odd/even rule and, for a 4 × 4 matrix, the Pfaffian formula still provide a useful first check.

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