Skew-Hermitian matrix

In linear algebra, a square matrix with complex entries is said to be skew-Hermitian or antihermitian if its conjugate transpose is equal to its negative.[1] That is, the matrix A is skew-Hermitian if it satisfies the relation

A^\dagger = -A,\;

where \dagger denotes the conjugate transpose of a matrix. In component form, this means that

a_{i,j} = -\overline{a_{j,i}},

for all i and j, where ai,j is the i,j-th entry of A, and the overline denotes complex conjugation.

Skew-Hermitian matrices can be understood as the complex versions of real skew-symmetric matrices, or as the matrix analogue of the purely imaginary numbers.[2] All skew-Hermitian n×n matrices form the u(n) Lie algebra, which corresponds to the Lie group U(n). The concept can be generalized to include linear transformations of any complex vector space with a sesquilinear norm.

Contents

Example

For example, the following matrix is skew-Hermitian:

\begin{bmatrix}0 & 2 %2B i \\ -2 %2B i & 0 \end{bmatrix}

Properties

C = A%2BB \quad\mbox{with}\quad A = \frac{1}{2}(C %2B C^\dagger) \quad\mbox{and}\quad B = \frac{1}{2}(C - C^\dagger).

See also

Notes

  1. ^ Horn & Johnson (1985), §4.1.1; Meyer (2000), §3.2
  2. ^ a b Horn & Johnson (1985), §4.1.2
  3. ^ Horn & Johnson (1985), §2.5.2, §2.5.4
  4. ^ Meyer (2000), Exercise 3.2.5
  5. ^ a b Horn & Johnson (1985), §4.1.1

References