Antisymmetric Matrix — Definition, Formula & Examples
An antisymmetric matrix (also called a skew-symmetric matrix) is a square matrix that equals the negative of its own transpose. This forces every diagonal entry to be zero.
A square matrix is antisymmetric if , which means each entry satisfies for all indices and . In particular, setting gives , so every diagonal entry must equal zero.
Key Formula
Where:
- = A square matrix
- = The transpose of A
- = The entry in row i, column j of A
How It Works
To check whether a matrix is antisymmetric, compute its transpose and see if it equals the negative of the original. Equivalently, verify that for every pair of indices. Any real antisymmetric matrix has purely imaginary (or zero) eigenvalues, and its determinant is always non-negative when the matrix is of even order. For odd-order real antisymmetric matrices, the determinant is exactly zero, meaning they are always singular.
Worked Example
Problem: Determine whether the matrix A is antisymmetric, where A = [[0, 3, -1], [-3, 0, 7], [1, -7, 0]].
Step 1: Compute the transpose of A by reflecting entries across the main diagonal.
Step 2: Compute the negative of A.
Step 3: Compare the two results. Since every entry of A^T matches the corresponding entry of -A, the condition is satisfied.
Answer: Yes, A is antisymmetric. Note that all diagonal entries are zero and each off-diagonal pair satisfies .
Why It Matters
Antisymmetric matrices appear in physics when representing cross products and angular velocity. In differential geometry and mechanics, the Lie algebra of the rotation group consists entirely of antisymmetric matrices, making them essential for describing rotational motion.
Common Mistakes
Mistake: Forgetting that the diagonal entries must be zero.
Correction: The condition forces for every diagonal entry. If any diagonal entry is nonzero, the matrix cannot be antisymmetric.
