中文

A linear operator on a Hilbert space is unbounded if for any there exists a vector such that . Very few interesting examples of unbounded operators are defined on all of – for self-adjoint operators, there are none at all. It is therefore usual to consider an unbounded operator as not being necessarily defined over all of but only on some vector subspace called the domain of . Its range is defined as the set of vectors that are mapped onto, . In general we will refer to a pair , where is a vector subspace of and is a linear map, as being an operator in . Often we will simply refer to the operator when the domain is understood.

We say the domain is a dense subspace of if for every vector and any there exists a vector such that . The operator is then said to be densely defined.

We say is an extension of , written and . Two operators and in are called equal if and only if they are extensions of each other – their domains are equal, and for all

For any two operators in we must be careful about simple operations such as addition and multiplication . The former only exists on the domain , while the latter only exists on the set ). Thus operators in do not form a vector space or algebra in any natural sense.

In let be the operator defined by

This operator is bounded, hermitian and has domain since

The range of this operator is

which is dense in since every can be approximated arbitrarily closely by, for example, a finite sum where are the standard basis vectors having components . The inverse operator , defined on the dense domain , is unbounded since

In the Hilbert space of equivalence classes of square integrable functions (see Example 13.4), set to be the vector subspace of elements having a representative from the functions on of compact support. This is essentially the space of test functions defined in Chapter 12. An argument similar to that outlined in Example 13.5 shows that is a dense subspace of . We define the position operator by . We may write this more informally as

Similarly the momentum operator is defined by

Both these operators are evidently linear on their domains.

Show that the position and momentum operators in are unbounded.

If is a bounded operator defined on a dense domain , it has a unique extension to all of (see Problem 13.30). We may always assume then that a bounded operator is defined on all of , and when we refer to a densely defined operator whose domain is a proper subspace of we implicitly assume it to be an unbounded operator.

Self-adjoint and symmetric operators

Lemma 13.20 · Orthogonality criterion on a dense domain

If is a dense domain and a vector in such that for all , then

Proof

Let be any vector in and . Since is dense there exists a vector such that . By the Cauchy–Schwarz inequality

Since is an arbitrary positive number, for all hence

is an operator in with dense domain , then let be defined by

If we set . This is uniquely defined, for if for all then by Lemma 13.20. The operator is called the adjoint of

We say a densely defined operator in is closed if for every sequence such that and it follows that and . Another way of expressing this is to say that an operator is closed if and only if its graph is a closed subset of the product set . The notion of closedness is similar to continuity, but differs in that we must assert the limit , while for continuity it is deduced. Clearly every continuous operator is closed, but the converse does not hold in general.

Theorem 13.21 · The adjoint of a densely defined operator is closed

If is a densely defined operator then its adjoint is closed.

Proof

Let be any sequence of vectors in such that and . Then for all

Since is a dense domain, it follows from Lemma 13.20 that and -

Let be a separable Hilbert space with complete orthonormal basis . Let the operators and be defined by

The effect on a typical vector , where , is

The operator is the adjoint of since

and both operators have domain of definition

which is dense in (see Example 13.16). In physics, is the symmetric Fock space, in which represents identical (bosonic) particles in a given state, and and are interpreted as creation operator and annihilation operator, respectively.

Show that is the particle number operator, , and the commutator . What are the domains of validity of these equations?

Theorem 13.22 · Operator extensions and reversed inclusion of adjoints

and are densely defined operators in then

Proof

If then for any vectors and

Hence , so that and

By Lemma 13.20 , hence

An operator on a dense domain in is said to be self-adjoint if . This means that not only is wherever both sides are defined, but also that the domains are equal, . By Theorem 13.21 every self-adjoint operator is closed. This is not the only definition that generalizes the concept of a hermitian operator to unbounded operators. The following related definition is also useful. A densely defined operator in is called a symmetric operator if for all

Theorem 13.23 · Symmetric operators and extension by the adjoint

An operator on a dense domain in is symmetric if and only if is an extension of ,

Proof

If then for all ,

Furthermore, since for all , we have the symmetry condition

Conversely, if is symmetric then

On the other hand, the definition of adjoint gives

Hence if then and , which two conditions are equivalent to -

From this theorem it is immediate that every self-adjoint operator is symmetric, since

Show that the operators and of Example 13.16 are both self-adjoint.

In Example 13.17 we defined the position operator having domain the space of functions of compact support on . This operator is symmetric in , since

for all functions . However it is not self-adjoint, since there are many functions for which there exists a function such that for all . For example, the function

is not in since it is not , yet

Similarly, the function does not have compact support, yet satisfies the same equation. Thus the domain of the adjoint operator is larger than the domain , and is not self-adjoint.

To rectify the situation, let be the subspace of of functions such that ,

Functions and are always to be identified, ofcourse, if they are equal almost everywhere. The operator is symmetric since

for all . The domain is dense in , for if is any square integrable function then the sequence of functions

all belong to and as since

By Theorem 13.23, is an extension of since the operator is symmetric. only remains to show that . The domain is the set of functions such that there exists a function such that

The function has the property

Since is a dense domain this is only possible if ) a.e. Since it must be true that , whence . This proves that . Hence , and since a.e., we have . The position operator is therefore self-adjoint,

The momentum operator defined in Example 13.17 on the domain of differentiable functions of compact support is symmetric, for

for all . Again, it is not hard to find functions outside that satisfy this relation for all , so this operator is not self-adjoint. Extending the domain so that the momentum operator becomes self-adjoint is rather trickier than for the position operator. We only give the result; details may be found in [3, 7]. Recall from the discussion following Theorem 13.19 that a function is said to be absolutely continuous if there exists a measurable function on such that

We may then set . When is a continuous function, is differentiable and . Let consist of those absolutely continuous functions such that and are square integrable. It may be shown that is a dense vector subspace of and that the operator where is a self-adjoint extension of the momentum operator defined in Example 13.17.

Spectral theory of unbounded operators

As for hermitian operators, the eigenvalues of a self-adjoint operator are real and eigenvectors corresponding to different eigenvalues are orthogonal. If , then is real since

If and , then

whence whenever

For each complex number define to be the domain of the resolvent operator ,

The operator is well-defined with domain provided is not an eigenvalue. For, if is not an eigenvalue then and for every there exists a unique such that

Show that for all complex numbers , the operator is closed.

As for bounded operators, a complex number is said to be a regular value for if . The resolvent operator can then be shown to be a bounded (continuous) operator. The set of complex numbers that are not regular are again known as the spectrum of .

Theorem 13.24 · Eigenvalues and density of the resolvent range

is an eigenvalue of a self-adjoint operator ) if and only ifthe resolvent set is not dense in .

Proof

If where , then

for all . Hence for all is dense in then, by Lemma 13.20, this can only be true for , contrary to assumption

Conversely if is not dense then by Theorem 13.8 there exists a non-zero vecto . This vector has the property

for all . Since is a dense domain, must be an eigenvector,

It is natural to classify the spectrum into two parts – the point spectrum consisting of eigenvalues, where the resolvent set is not dense in and the continuous spectrum consisting of those values for which is not closed. Note that these are not mutually exclusive; it is possible to have eigenvalues for which the resolvent set is neither closed nor dense. The entire spectrum of a self-adjoint operator can, however, be shown to consist of real numbers. The spectral theorem 13.19 generalizes for self-adjoint operators as follows:

Theorem 13.25 · Spectral theorem for self-adjoint operators

Let be a self-adjoint operator on a Hilbert space . There exists an increasingfamily ofprojection operators , with , such that

such that

where the integral is interpreted as the Lebesgue–Stieltjes integra

valid for all

The proof is difficult and can be found in [7]. Its main use is that it permits us to define functions of a self-adjoint operator for a very wide class of functions. For example if is a Lebesgue integrable function then we set

This is shorthand for

for arbitrary vectors . One of the most useful of such functions is , giving rise to a unitary transformation

This relation between unitary and self-adjoint operators has its main expression in Stone’s theorem, which generalizes the result for finite dimensional vector spaces, discussed in Example 6.12 and Problem 6.12.

Theorem 13.26 · Stone’s theorem

Every one-parameter unitary group oftransformations on a Hilbert space , such that , can be expressed in theform

Problems

For unbounded operators, show that

(a)

(b)

(c) . Give an example where

Show that a densely defined bounded operator in has a unique extension to an operator defined on all of . Show that

If is self-adjoint and a bounded operator, show that is self-adjoint.

Show that and ) are operators on dense domains in then

For unbounded operators, show that

is a densely defined operator and is dense in , show that

If is a symmetric operator, show that is symmetric if and only if it is self-adjoint,

If are operators on a dense domain such that

show that

If is a self-adjoint operator show that

and that the operator is invertible. Show that the operator is unitary (called the Cayley transform of ).