operator
From Physics wiki
An operator
is a,
, from the set of states
of a system onto itself.
A linear operator is the most common type of operator encountered in quantum mechanics, and has the fundamental property that:
,
, and
.
An antilinear operator is less frequently encountered and has the following action:
,
, and
.
Unless otherwise noted, an operator is always assumed to be linear.
Contents |
Mathematical properties
Given a basis
, the action of an operator
on any state
is determined by the action of
on the basis:
.
Let
.
Then the resulting state is determined through
.
The values
,
are termed the matrix elements of
. The naming is suggestive, and just as we can associate a column or row vector to
or
, we can associate a matrix to each operator, where the elements of the matrix are simply
. The action of an operator on a state is then equivalent to the action of a matrix on a vector. Thus
.
Since the action of an operator on a state yields another state, we can compose two operations into a single operator: If
,
and
,
then
,
where
.
Note, however, that matrix multiplication is not commutative. In general,
,
and we say that the operators
and
do not commute unless the commutator
is zero.
Adjoint
The Hermitian adjoint
of an operator
is defined to be the operator
that satisfies
.
The matrix elements of
are therefore given by
. In an expression like
we can equally well act
on
on the left, since
.
Thus
.
Unitary operator
A unitary operator satisfies
.
Hermitian operator
A Hermitian operator, also called a self-adjoint operator, is one that is its own adjoint:
,
or
.
Diagonalizability
According to the spectral theorem of linear algebra, any Hermitian matrix can be diagonalized by some unitary matrix. In other words, there exists a unitary matrix
such that
,
where
is diagonal. Since
, the resulting diagonal matrix is real, and so the eigenvalues of a Hermitian matrix are real. Furthermore, the eigenvectors corresponding to distinct eigenvalues are orthogonal. For if
and
are eigenvectors of
corresponding to eigenvalues
and
, then
| ,
|
,
| |
,
| |
,
|
thus either
or
.
Simultaneous diagonalizability
If two Hermitian operators
and
commute, that is
,
then there exists a unitary operator
such that
,
and
,
where both
and
are diagonal. In other words, the two matrices are simultaneously diagonalizable. The converse is trivially true.
Examples
Identity operator
The simplest type of operator is the identity operator
which maps every state onto itself:
.
Projection operator
A projection operator is an operator that projects onto some subspace of
. For example, the operator
,
where
, and
, yields zero when acting on states orthogonal to
and yields the original state when acting on states that are proportional to
. For example,
.
A property of all projection operators is idempotence:
.
The identity operator is a type of projection operator that projects onto the entire vector space
. Given a basis
, the operator
,
is a resolution of the identity matrix by the completeness relation.
Observables and expectation values
Returning to the example of the Stern-Gerlach experiment, suppose we repeatedly prepare a state
and subsequently measure the observable
. Such an experiment will yield an average value for
, denoted
, called the expectation value of
, equal to
.
Using projection operators, note that
| ,
|
,
| |
.
|
Thus we see that the operator
has the property that
,
for any state
. In general,
Given a state
and an operator
corresponding to some observable, the expectation value of that observable is given by
.
Again, in our example we see that
,
so we say that
is an eigenstate of the operator
with eigenvalue
, while
is an eigenstate of
with eigenvalue
. In general, we will find that
To each observable corresponds an operator with eigenvalues corresponding to the possible values a measurement of that observable may yield.
For historical reasons, the allowable eigenvalues that a measurement may yield are called quantum numbers.
In a given basis, the eigenvalues and eigenstates of an operator
correspond to the eigenvalues and eigenvectors of the matrix
. The eigenvalues are independent of our choice of basis, while the eigenstates are not. The set of eigenvalues of
is known as the spectrum of
. Since measurements invariably involve real quantities, operators corresponding to observables must be Hermitian.
In the Stern-Gerlach experiment, the value of the intrinsic angular momentum along some axis
corresponds to an operator
. A state prepared in such a way that a measurement of
would yield
with probability
is therefore an eigenstate of
with eigenvalue
. Furthermore, measuring
does not disturb the state if the state is an eigenstate of
.
Simultaneous eigenstates
Suppose the system is in an eigenstate
of some observable operator
, such that
,
and we wish to make a measurement of another observable represented by an operator
. For the system not to be disturbed,
must therefore also be an eigenstate of
. This demands, in particular, that
, i.e., that the matrices commute within the 1-dimensional subspace spanned by
. More generally, we say that two observables corresponding to operators
and
can simultaneously be known if
, and are said to be compatible observables. Correspondingly, if
, we say that the two corresponding observables cannot simultaneously be known (in general) [1], and are likewise said to be incompatible observables. The uncertainty that is intrinsic in measuring incompatible observables is quantified by the Heisenberg uncertainty principle.
Returning to the Stern-Gerlach experiment, it is reasonable to conclude that the operators
and
do not commute, since their corresponding observables cannot simultaneously be known. This is in fact the case, and when discussing angular momentum and spin, we will find that
.
It is sometimes the case that we can choose a maximal set of compatible observables to simultaneously diagonalize. If the eigenvalues corresponding to the observables completely (and therefore uniquely) specify the state of a system, then the smallest such set is called a complete set of commuting observables.
back to state
on to density matrix
References
- ↑ It may be possible that a subset
of states are eigenstates of both
and
. One could, by a suitable choice of basis, cast
and
in block diagonal form. The block matrices corresponding to the subspace spanned by
must then necessarily commute. Equivalently,
.
,
,
,
,
,
,
.

