Definition: In a finite dimensional space, given any linear operator
defined on the whole space, there exists an operator
such that
is uniquely determined and is called the adjoint of
.
It must be noticed that for bounded operators the adjoint operator can be defined naturally, whereas for unbounded operators this can be done only if the domain of
,
, is dense in
and only for those vectors
for which
is a continuous function of
. The set of these vectors is a vectorial subset of
and by definition it will be the domain,
, of
.
Definition: A linear operator
is said to be:
- a Hermitian operator if
, i.e. if
;
- a symmetric operator if
and
, where
is the complement of
;
- a self-adjoint operator if
and
.
For bounded linear operators, and in particular for linear operators in finite dimensional Hilbert spaces, the three definitions coincide.
Proposition: A necessary and sufficient condition for the linear operator
to be Hermitian is that
Proof: This equality certainly implies the definition 1. of Hermitian operator. The converse is true because of the following identity, which can be easily verified:
The matrix which represents the adjoint of a linear operator
in any orthonormal basis is the Hermitian conjugate of the matrix representing
. Indeed its matrix elements are given by:
.
So, if a bounded linear operator is self-adjoint, it is represented by a Hermitian matrix in any orthonormal basis.

