8.12 SPECIAL TYPES OF SQUARE MATRIX
Suppose thaty=Axis represented in some coordinate system by the matrix
equationy=Ax;then〈y|y〉is given in this coordinate system by
yTy=xTATAx=xTx.
Hence〈y|y〉=〈x|x〉, showing that the action of a linear operator represented by
an orthogonal matrix does not change the norm of a real vector.
8.12.5 Hermitian and anti-Hermitian matrices
AnHermitianmatrix is one that satisfiesA=A†,whereA†is the Hermitian conju-
gate discussed in section 8.7. Similarly ifA†=−A,thenAis calledanti-Hermitian.
A real (anti-)symmetric matrix is a special case of an (anti-)Hermitian matrix, in
which all the elements of the matrix are real. Also, ifAis an (anti-)Hermitian
matrix then so too is its inverseA−^1 ,since
(A−^1 )†=(A†)−^1 =±A−^1.
AnyN×NmatrixAcan be written as the sum of an Hermitian matrix and
an anti-Hermitian matrix, since
A=^12 (A+A†)+^12 (A−A†)=B+C,
where clearlyB=B†andC=−C†. The matrixBis called the Hermitian part of
A,andCis called the anti-Hermitian part.
8.12.6 Unitary matrices
AunitarymatrixAis defined as one for which
A†=A−^1. (8.66)
Clearly, ifAis real thenA†=AT, showing that a real orthogonal matrix is a
special case of a unitary matrix, one in which all the elements are real. We note
that the inverseA−^1 of a unitary is also unitary, since
(A−^1 )†=(A†)−^1 =(A−^1 )−^1.
Moreover, since for a unitary matrixA†A=I, we have
|A†A|=|A†||A|=|A|∗|A|=|I|=1.
Thus the determinant of a unitary matrix has unit modulus.
A unitary matrix represents, in a particular basis, a linear operator that leaves
the norms (lengths) of complex vectors unchanged. Ify=Axis represented in
some coordinate system by the matrix equationy=Axthen〈y|y〉is given in this
coordinate system by
y†y=x†A†Ax=x†x.