Self-Adjoint Operators in Extended Hilbert Spaces $H\oplus W$: An Application of the General GKN-EM Theorem
Lance Littlejohn, Richard Wellman

TL;DR
This paper develops a framework for constructing self-adjoint operators in extended Hilbert spaces, generalizing classical theorems to include finite-dimensional extensions, motivated by differential operators with polynomial eigenfunctions.
Contribution
It introduces a generalized GKN-EM theorem for characterizing self-adjoint extensions in extended Hilbert spaces, expanding the classical operator theory to include finite-dimensional extensions.
Findings
Established a characterization of self-adjoint extensions in $H W$.
Generalized the classical GKN theorem to the GKN-EM theorem.
Provided examples illustrating the theoretical results.
Abstract
We construct self-adjoint operators in the direct sum of a complex Hilbert space and a finite dimensional complex inner product space . The operator theory developed in this paper for the Hilbert space is originally motivated by some fourth-order differential operators, studied by Everitt and others, having orthogonal polynomial eigenfunctions. Generated by a closed symmetric operator in with equal and finite deficiency indices and its adjoint , we define \textit{families} of minimal operators and maximal operators in the extended space and establish, using a recent theory of complex symplectic geometry, developed by Everitt and Markus, a characterization of self-adjoint extensions of when the dimension of the extension space is not greater than the deficiency index of…
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Taxonomy
TopicsSpectral Theory in Mathematical Physics · Holomorphic and Operator Theory · Geometry and complex manifolds
Self-Adjoint Operators in Extended Hilbert Spaces : An Application
of the General GKN-EM Theorem
Lance L. Littlejohn and Richard Wellman
Department of Mathematics, Baylor University, Waco, TX 76798-7328
Department of Mathematics and Computer Science, Westminster College, Salt Lake City, UT 84105
(Date: April 23, 2017 [wellmanlittlejohnEMfinalversion.tex])
Abstract.
We construct self-adjoint operators in the direct sum of a complex Hilbert space and a finite dimensional complex inner product space . The operator theory developed in this paper for the Hilbert space is originally motivated by some fourth-order differential operators, studied by Everitt and others, having orthogonal polynomial eigenfunctions. Generated by a closed symmetric operator in with equal and finite deficiency indices and its adjoint , we define families of minimal operators and maximal operators in the extended space and establish, using a recent theory of complex symplectic geometry, developed by Everitt and Markus, a characterization of self-adjoint extensions of when the dimension of the extension space is not greater than the deficiency index of . A generalization of the classical Glazman-Krein-Naimark (GKN) Theorem - called the GKN-EM Theorem to acknowledge the work of Everitt and Markus - is key to finding these self-adjoint extensions in We consider several examples to illustrate our results.
Key words and phrases:
symmetric operator, self-adjoint operator, differential operator, maximal operator, minimal operator, Glazman-Krein-Naimark theory, symplectic GKN theorem, orthogonal polynomialsct
1991 Mathematics Subject Classification:
Primary 05C38, 15A15; Secondary 05A15, 15A18
Contents
-
3 Complex Symplectic Geometry and a Generalization of the GKN Theorem
-
5.3 Example 3: Variations on the Fourier Self-Adjoint Operator
1. Introduction
In [6, p. 105], the authors list ten open problems related to orthogonal polynomial eigenfunctions of differential equations. The one pertinent to this present paper is the following (paraphrased to simplify the original notation):
The GKN theory provides a recipe, in theory, for determining all self-adjoint extensions in the Hilbert space of formally symmetric differential expressions of the form
[TABLE]
on some open interval we assume here that and each coefficient is sufficiently differentiable on This theory works well in developing the spectral theory for the second-order classical differential equations of Jacobi, Laguerre, and Hermite.111The GKN theory is applicable as well to developing the self-adjoint operator theory associated with exceptional orthogonal polynomials. However, for nonclassical symmetric differential equations (1.1) with orthogonal polynomial solutions, the appropriate right-definite setting is a Hilbert-Sobolev space with orthogonalizing Sobolev inner product
[TABLE]
The Sobolev space has the form for some Develop a general GKN-type theory for this setting; in particular, provide a ‘recipe’ for determining the self-adjoint operator having the orthogonal polynomials as eigenfunctions.
In this paper, we answer this question. In fact, we will see that we can provide a recipe for all self-adjoint operators, generated by in this Sobolev setting. Our result is a generalization of the Glazman-Krein-Naimark (GKN) theory of self-adjoint extensions of Lagrangian symmetric ordinary differential expressions in a weighted Hilbert space where is an interval of the real line
This work is originally motivated by fourth-order differential equations having non-classical orthogonal polynomials as eigenfunctions. In each of these fourth-order examples, the orthogonalizing inner product has the form
[TABLE]
where Indeed, H. L. Krall [13, 14] classified, up to a complex linear change of variable, these orthogonal polynomials which were subsequently named the Legendre type, Laguerre type and Jacobi type polynomials and studied extensively by A. M. Krall in [12]. Following the work of the two Kralls, other contributions connecting orthogonal polynomial eigenfunctions to higher-order differential equations have emerged; all known examples have polynomial eigenfunctions orthogonal with respect to an inner product of the form (1.2). These various contributions are far too numerous to list in this manuscript but we refer to the Erice and Patras reports [5, 6] for further details and the references therein contained.
In [3, 4], the authors construct the Legendre type self-adjoint operator, generated by the fourth-order Legendre type differential expression
[TABLE]
in the Hilbert space Here
[TABLE]
where
[TABLE]
We note that is isometrically isomorphic to The classical Glazman-Krein-Naimark (GKN) theory of self-adjoint extensions of Lagrangian symmetric differential expressions is not (immediately) applicable in this situation. To develop the appropriate operator theory in Everitt and Littlejohn studied properties of functions in the maximal domain of in the base space They prove the surprising smoothness condition
[TABLE]
from which it follows that Using standard operator-theoretic methods, they then prove that the operator defined by
[TABLE]
is self-adjoint. It is remarkable that is the domain of the self-adjoint operator in Indeed, the expression is in the limit-3 case at both singular endpoints in so every self-adjoint operator in generated by is necessarily determined by two appropriate boundary restrictions on the space
We will re-examine this Legendre type example in Section 5.1 as an application of the results developed in this paper. To this end, let be a finite-dimensional complex inner product space and assume is a complex Hilbert space. Then , the direct sum of and is the Hilbert space defined by
[TABLE]
with inner product
[TABLE]
and associated norm
[TABLE]
Throughout this paper, we refer to as an extended Hilbert space and call the base *space *and the extension space.
Our starting point in this paper - assumptions we keep throughout this article
- is a closed, symmetric operator in having equal and finite deficiency indices, denoted by their common value def and adjoint operator satisfying the inclusions
[TABLE]
We call the minimal operator and the maximal operator in Then, under the essential assumption that
[TABLE]
we construct one-parameter families of *minimal *operators and associated maximal operators in generated by and in satisfying the properties
[TABLE]
and
[TABLE]
Both families and are parametrized by an arbitrary, fixed self-adjoint operator
With the constructions of and in place, we then appeal to a general theory of complex symplectic algebra, with important applications and implications to boundary value problems in ordinary and partial differential equations, which was developed by Everitt and Markus in a series of remarkable papers [7, 8, 9, 10]. An important consequence of their theory is a generalized GKN theory - which we call GKN-EM theory after the contributions of Everitt and Markus - that we apply to characterize all self-adjoint extensions (respectively, restrictions) of (respectively, of ).
The contents of this paper are as follows. In Section 2, we briefly discuss the Stone-von Neumann theory of self-adjoint extensions of symmetric operators in a Hilbert space as well as the now classic GKN theory, including a statement of the GKN Theorem (Theorem 2.3). Section 3 deals with key complex symplectic geometric results developed by Everitt and Markus and culminates in the GKN-EM Theorem (Theorem 3.2). The families and of minimal and maximal operators in generated by and in the base space are developed in Section 4. Another key notion, the symplectic form in the extended space , essential to our application of the GKN-EM theory, is defined in Section 4. Also, in this section, we apply Theorem 3.2 to characterize all self-adjoint extensions of ; see the summary theorem given in Theorem 4.4. Lastly, Section 5 deals with several examples to illustrate our results. These examples include another look at the Legendre type example where further light is shed on this particular example. Indeed, we show that, remarkably, continuity is a GKN-EM boundary condition.
Notation: and will denote, respectively, the sets of real numbers, the complex numbers and the positive integers. All inner products in this paper will be denoted by properly subscripted indicating the particular underlying vector space. Ordered pairs in will be written as if then an ordered pair in will have the form Our base space will be a complex Hilbert space , our extension space will be finite-dimensional complex Hilbert space and the extended space will be the direct sum space Linear operators in the base space will be denoted by etc. while operators in the extended space will be hatted: etc. The notation
[TABLE]
means that property holds for all in the set Lastly, the cardinality of a set is denoted by card whereas the dimension of subspace of some vector space will be written
2. The von-Neumann Formulas and the GKN Theorem
Standard references for topics discussed in this section are [1, 2, 15, 16, 17, 18, 19, 21].
Throughout this paper, the linear operator will be an arbitrary closed, symmetric operator in while is a linear operator satisfying the operator inclusions
[TABLE]
in particular, we see that and are adjoints of each other. Because of the inclusions in (2.1), we call the *minimal *operator and the *maximal *operator. Specific reasons for this notation will be discussed below in this section (see also Remark 2.1). Notice that if has a self-adjoint extension in then
[TABLE]
so necessarily has the same form as that is,
[TABLE]
The general theory of self-adjoint extensions of the minimal operator (equivalently, self-adjoint restrictions of the maximal operator in a Hilbert space - called the Stone-von Neumann theory - is discussed in depth in [2, Chapter XII, Section 4]. Of central importance in this theory are two particular subspaces of , defined by
[TABLE]
where These spaces are called the positive and negative deficiency spaces of The first von Neumann formula decomposes the maximal domain into linearly independent submanifolds:
Theorem 2.1** (The First von Neumann Formula).**
**
In fact, the sum in this formula is actually an orthogonal direct sum. Indeed, under the graph inner product
[TABLE]
and associated norm
[TABLE]
is a Hilbert space and, with this inner product, and are closed, orthogonal subspaces of see [2, Chapter XII]. Notice that if and
[TABLE]
where and then
[TABLE]
The dimensions of denoted by are called the positive and negative deficiency indices of . A key result in the Stone-von Neumann theory is that the equality of these deficiency indices is equivalent to the existence of self-adjoint extensions of in Moreover, if dim dim is self-adjoint and is, in fact, the only self-adjoint extension of in In the case that dim dim we refer to this common value as the deficiency index and denote it by In addition to requiring the equality of these deficiency indices for the entirety of this paper, we assume the deficiency indices are also finite. Thus, another key assumption in this paper is:
Condition 2.1**.**
:
The *second von Neumann formula *gives a description of the domain of any self-adjoint extension of in :
Theorem 2.2** (The Second von Neumann Formula).**
Let be a self-adjoint extension of Then there exists an isometric isomorphism from the positive deficiency space onto the negative deficiency space such that
[TABLE]
Conversely, if and its domain are defined through 2.5 and 2.6 for some isometric isomorphism , then is a self-adjoint extension of
The Glazman-Krein-Naimark (GKN) theory is both a refinement and an application of the Stone-von Neumann theory to self-adjoint operator extensions of ordinary differential expressions. Excellent expositions of this theory can be found in Akhiezer and Glazman [1, Volume II, Chapter 8] and Naimark [15, Part II, Chapter V]. To describe this theory we assume, for the sake of simplicity, that is a real, -th order Lagrangian symmetrizable differential expression of the form
[TABLE]
where each coefficient in (2.7) is -times continuously differentiable on (noting, however, that general ‘quasi-differentiable’ conditions can be placed on these coefficients; see also [20]). The setting for the study of is the Hilbert space
[TABLE]
endowed with the standard inner product
[TABLE]
Here is an open interval and is a positive (a.e.) Lebesgue measurable function on . The maximal operator generated by is defined to be
[TABLE]
In this setting, the term ‘maximal’ is appropriate; indeed, - which is called the maximal domain - is the largest subspace of for which the expression acts on and maps into It is clear that is a densely defined operator. We denote the adjoint of by it is natural then to call the minimal operator generated by The GKN theory shows that, in fact, and are adjoint to each other and is a closed symmetric operator in More explicitly, and
[TABLE]
Remark 2.1**.**
The operators and defined earlier, are analogous to the minimal operator and maximal operator respectively. Because of this, we call and , respectively, the minimal and maximal operators even though, in the general situation, the terms maximal and minimal may not seem as appropriate as they do in the GKN theory. Likewise, we shall call their respective domains the minimal domain and the maximal domain .
The domain of the minimal operator is given explicitly by
[TABLE]
where is the skew-symmetric bilinear form obtained from the classic Green’s formula
[TABLE]
Moreover, we note that Condition (2.1) is automatically satisfied in this setting. Indeed, the deficiency indices of are equal since has real coefficients and thus
[TABLE]
Moreover, in this case,
[TABLE]
We are now in position to state the GKN Theorem. Notice that this theorem provides a ‘recipe’ for constructing all self-adjoint extensions of the minimal operator in by specifying certain restrictions (boundary conditions), using the bilinear form on the maximal domain We emphasize, however, that the original GKN Theorem is valid *only *for the minimal operator associated with a real Lagrangian symmetrizable differential expressions of even order in the specific Hilbert space . Compare the statement of the GKN Theorem below with that of the GKN-EM Theorem (Theorem 3.2) at the end of the next section.
Theorem 2.3** (The GKN Theorem).**
Suppose and are, respectively, the minimal and maximal operators in generated by the differential expression given in 2.7. In addition, let def so
- (i)
Suppose the set satisfies the two conditions
- (a)
[TABLE] 2. (b)
[TABLE]
Define the operator by
[TABLE]
Then is a self-adjoint extension of the minimal operator in 2. (ii)
*Conversely, if is a self-adjoint extension of the minimal operator in then there exists a set satisfying the conditions 2.10 and 2.11 such that is given explicitly by *2.12)\and 2.13
Remark 2.2**.**
A collection of vectors satisfying condition 2.10 are said to be linearly independent modulo while those that satisfy 2.11 are said to satisfy Glazman symmetry conditions. Further light, as well as a generalization, into these concepts be made in the next section.
Remark 2.3**.**
Each of the conditions
[TABLE]
given in 2.13 is called a ‘boundary condition’. In the case that def then is the only self-adjoint extension of and, in this case, there are no boundary conditions.
The GKN-EM Theorem, which we discuss in the next section in Theorem 3.2, is a generalization of the GKN Theorem but, remarkably, is valid in an arbitrary Hilbert space for an arbitrary closed symmetric operator with equal and* finite* deficiency indices. This theorem is a highlight application of the general complex symplectic theory developed by Everitt and Markus.
3. Complex Symplectic Geometry and a Generalization of the GKN Theorem
In a series of papers [7, 8, 9, 10], Everitt and Markus developed an extensive theory of complex symplectic geometry with applications to linear ordinary and partial differential equations. Their work was motivated by their interest in boundary value problems. In this section, we report on their results that pertain to this manuscript. A highlight application of their investigations is an important, and remarkable, generalization of Theorem 2.3; see Theorems 3.1 and 3.2 below. This generalization is key to the results we establish in the next section.
Definition 3.1**.**
A complex symplectic space S is a complex vector space together with a conjugate bilinear sesquilinear complex-valued function SS satisfying the properties
- (i)
** 2. (ii)
** 3. (iii)
* S non-degenerate condition.*
We call a non-degenerate symplectic form.
Complex symplectic spaces are non-trivial generalizations (not merely complexifications) of classical real symplectic spaces of Lagrangian and Hamiltonian mechanics (see [11]). Indeed, complex symplectic spaces have a much wider scope and admit new applications. For example, whereas real symplectic spaces cannot be odd dimensional, it is the case that, for every there exists complex symplectic spaces of dimension
Along with their real symplectic counterparts, complex symplectic spaces support the notion of Lagrangian subspaces (see [10] equation (1.10)).
Definition 3.2**.**
A subspace L of a complex symplectic space S is called Lagrangian if L L that is to say, when
[TABLE]
A Lagrangian L S is called a complete Lagrangian when
[TABLE]
We can characterize complete Lagrangian subspaces as follows. This characterization is key for later results.
Lemma 3.1**.**
A Lagrangian subspace L S is a complete Lagrangian if and only if
[TABLE]
Proof.
Suppose L is a complete Lagrangian subspace of S. By definition of complete, it is clear that S L L. On the other hand, if L then for all L since L is Lagrangian. Hence L S L Conversely, if L is Lagrangian and given by 3.1 then it is clear that L is a complete. ∎
An essential step in the work of Everitt and Markus is a natural generalization of the skew-symmetric bilinear form given by Green’s formula (2.9).
Definition 3.3**.**
* for *
Following the work of Everitt and Markus, we will see below that can be identified with a degenerate symplectic form. We also note that coincides with in the case is the maximal differential operator, generated by (see (2.7)), in the weighted Hilbert space .
As shown in [10], the quotient space
[TABLE]
with zero element 0 is a complex symplectic space when endowed with the form ; we outline the specific details below.
Notice that, from Theorem 2.1 and Condition 2.1, S has dimension def Indeed one may view S as an isomorphic copy of the orthogonal sum of the deficiency spaces of Everitt and Markus call the space S the boundary space of The elements of S are, of course, cosets x (). In this case, we call the vector a representative vector of the coset
We now consider the natural projection S defined by
[TABLE]
The following proposition makes clear the connection between a basis of a subspace of S and the notion of linear independence modulo which we first encountered in Theorem 2.3 and Remark 2.2.
Lemma 3.2**.**
A collection of cosets where is a basis for a subspace of dimension of the boundary space S if and only if the representative vectors satisfy
[TABLE]
that is to say, is linearly independent modulo
Proof.
The equation 0 is equivalent to ∎
The following lemma generalizes the characterization of the domain of the minimal operator; see (2.8).
Lemma 3.3**.**
**
Proof.
Fix and suppose
[TABLE]
Since we see that so Conversely, let Since and we see that
[TABLE]
that is, for each
[TABLE]
∎
This result allows the boundary space S to be equipped with a complex symplectic form.
Definition 3.4** (Boundary Space Symplectic Form).**
[TABLE]
Lemma 3.3 assures Definition 3.4 above is independent of the choice of representative vectors. Moreover, Lemma 3.3 establishes the non-degeneracy property of Definition 3.1. From the definition of a Lagrangian subspace, the following extension of Lemma 3.2 is clear.
Proposition 3.1**.**
A collection of cosets form a basis for a -dimensional Lagrangian subspace of the boundary space S′ if and only if the representative vectors satisfy
- (a)
[TABLE]
and 2. (b)
[TABLE]
Notice that the properties (3.4) and (3.5) are identical to those conditions discussed in Theorem 2.3. Because of their importance in the special case when we incorporate these two properties into the following definition.
Definition 3.5**.**
A collection of vectors is called a GKN set for if
- (i)
the set is linearly independent modulo the minimal domain that is to say
[TABLE]
and 2. (ii)
the set satisfies the symmetry conditions
[TABLE]
Remark 3.1**.**
Observe that if is a GKN set for then any non-empty, proper subset is linearly independent modulo and satisfies the symmetry conditions in 3.7 We refer to as a partial GKN set. However, we note that the only partial GKN sets that we use in this manuscript are those which satisfy card where is a complex finite-dimensional extension space; see Condition 4.1 in Section 4.
We now turn our attention to characterizing complete Lagrangians. A key result of Everitt and Markus in this setting is that not only do complete Lagrangians L exist (see [10, Equations (1.54) and (1.61)]) but their dimensions are precisely that of the deficiency index; that is,
[TABLE]
(see [10, Equation (3.9)]). Moreover,
Lemma 3.4**.**
With def a Lagrangian subspace L S′ is complete if and only if each of the two conditions hold:
- (i)
dim L def** 2. (ii)
L * def for some GKN set def *
Moreover, in this case,
[TABLE]
Proof.
Suppose L S is complete. Then, by 3.8 dim L def establishing i By Lemma 3.1,
[TABLE]
Let def be a basis for L. Then, by Proposition 3.1, def is a GKN set for It follows from 3.10 that
[TABLE]
proving ii Lastly, using the identification in 3.3 along with the identity in 3.11 3.9 is clear.
Conversely, suppose i and ii hold. It is straightforward to show that L is a subspace of S Clearly 3.9 follows from ii Moreover, since def is a GKN set for we see that
[TABLE]
It follows by taking linear combinations that L is Lagrangian. Finally, from 3.8 we see that L is complete. ∎
The authors in [10, Theorem 1.14 and Remark 1.15] establish the following characterization of self-adjoint extensions of in terms of complete Lagrangian subspaces L of S
Theorem 3.1** (The Finite-Dimensional GKN-EM Theorem).**
Let and be, respectively, the minimal and maximal operators as defined in Section 2 and let S be given by 3.2. There exists a one-to-one correspondence between the set of all self-adjoint extensions of and the set L of all complete Lagrangians L S More specifically,
- (a)
if is a self-adjoint operator with , then
[TABLE]
is a complete Lagrangian subspace of S of dimension def* Moreover, L * 2. (b)
*If **L **is a complete Lagrangian subspace of S then *L has dimension def Define
[TABLE]
Then given by
[TABLE]
is a self-adjoint operator satisfying Moreover, L
Combining Theorem 3.1 with Lemmas 3.1 and 3.4, we are now in position to state and prove an important consequence of Theorem 3.1 which, for our purposes, is key to the results developed in the next section and in the examples of Section 5. We note that the next theorem is an exact generalization of the GKN theorem stated in Theorem 2.3.
Theorem 3.2** (The Finite-Dimensional Symplectic GKN-EM Theorem).**
Suppose and are linear operators satisfying the conditions set forth in Section 2 and is the symplectic form defined in Definition 3.4. In particular, we assume has equal and finite deficiency indices denoted by .
- (i)
If the operator is self-adjoint and satisfies
[TABLE]
then there exists a GKN set of such that
[TABLE] 2. (ii)
If is a GKN set for then the operator given by
[TABLE]
is self-adjoint and satisfies
[TABLE]
Proof.
i Suppose is self-adjoint and satisfies . By Theorem 3.1,
[TABLE]
is a complete Lagrangian subspace of S of dimension from which it follows that
[TABLE]
Moreover, by Lemma 3.4, there exists a GKN set def for such that
[TABLE]
and
[TABLE]
Comparing 3.17 with 3.18 we obtain 3.13.
ii Suppose def is a GKN set for Let
[TABLE]
By Lemma 3.4, L is a complete Lagrangian subspace of S of dimension Define as in 3.14 and 3.15 Then, from 3.15 and 3.19 we see that
[TABLE]
so that
[TABLE]
By Theorem 3.1, is self-adjoint and ∎
Remark 3.2**.**
In the case that and and are, respectively, the minimal and maximal operators and generated by the ordinary differential expression 2.7 Theorem 3.2 is identical to the classical GKN theorem given in Theorem 2.3. Again, it is remarkable that the GKN theorem extends verbatim to a general Hilbert space with an arbitrary closed symmetric operator having equal deficiency indices. As in the classical GKN setting, we also call the conditions
[TABLE]
‘boundary conditions’. Lastly, we note that, as in Remark 2.3, if def there are no such boundary conditions and, in this case, the only self-adjoint extension of is the maximal operator
Remark 3.3**.**
Everitt and Markus discuss other important applications of their results to ordinary and partial differential operators. We refer the reader to Sections 2.1, 2.2 and 4.2 in [10]. They outline the argument given above in Theorem 3.2 for Sturm-Liouville problems see [10, Section 2, equations 2.23 2.24 and 2.25] as well as for general Shin-Zettl quasi-differential operators see [10, Section 4; in particular equations 4.57–4.61]. The authors are certain that the most general situation when has finite and equal deficiency indices, which we prove in Theorem 3.2, was known to Everitt and Markus but we cannot find an exact reference in their joint work.
4. Maximal and Minimal Operators in
We remind the reader that is a closed, symmetric operator with equal, finite deficiency indices def and adjoint operator satisfying In this section, we identify a family of minimal operators and an associated family of maximal operators in the extended space generated by, respectively, the minimal operator and the maximal operator in the base space We show that each is a closed, symmetric operator in with equal deficiency indices and def. Moreover, the operators and are adjoints of each other just as in the classical case with and
A fundamental assumption in our development of the maximal and minimal operators in is the following dimensionality requirement for the extension space:
Condition 4.1**.**
**
Fix a partial GKN set
[TABLE]
recall, from Remark 3.1 and Condition 4.1, that this set exists and satisfies the two conditions
[TABLE]
and
[TABLE]
It is clear that the maximal operator in the base space is symmetric on
[TABLE]
Now let
[TABLE]
be an orthonormal basis of and define by
[TABLE]
and extend to ; that is to say
[TABLE]
Note the key fact that maps the partial GKN set onto
Lastly, fix an arbitrary self-adjoint operator in the extension space . With these definitions and conditions in place, we are now in position to define a minimal operator in generated by .
Definition 4.1**.**
The minimal operator is defined to be
[TABLE]
At this point, it is unclear why we call the minimal operator generated by we will justify this terminology in Remark 4.1. In Theorem* 4.1* below we show that the minimal operator is, in fact, a densely defined operator which is both closed and symmetric. Moreover, in Theorem 4.2, where it is shown that we introduce the important linear transformation defined by
[TABLE]
Observe, by definition of the partial GKN set and Lemma 3.3, that
[TABLE]
With this transformation we are now ready to introduce the maximal operator .
Definition 4.2**.**
The maximal operator is defined by
[TABLE]
Note that if then Moreover, in this case, by (4.9) so
[TABLE]
that is
[TABLE]
Remark 4.1**.**
The term ‘maximal’ is appropriate; indeed, observe that is the largest linear manifold in on which an operator representation of makes sense. Moreover, once we establish the fact that we see that the term ‘minimal’ is appropriate for the operator
Proposition 4.1**.**
The extension of the minimal operator defined by
[TABLE]
is a closed symmetric operator.
Proof.
Since is densely defined and it is clear that is dense in Now, from Lemma 3.3 and 3.7 we see that
[TABLE]
Hence, from Definition 3.4,
[TABLE]
establishing that is symmetric in To show that is closed, suppose first that ; that is
[TABLE]
where Consider a sequence and vectors such that and where the convergence of both sequences is in Of course, we need to show
[TABLE]
and
[TABLE]
Since and is closed, we know that and Hence 4.15 will be established once we show 4.14 Now, by 4.13 and Theorem 2.1, we can write
[TABLE]
where and and where and Since and we see that
[TABLE]
where is the graph norm given in 2.3. Since
[TABLE]
we see, from 2.3 and 2.4, that
[TABLE]
Since and both cannot be zero (otherwise, , contradicting our choice of we see from either 4.18 or 4.19 that there exists with . It follows that in Then, from 4.16 and 4.17 we see that
[TABLE]
Hence we see that as required. The general proof of this proposition follows by induction on dim ∎
Remark 4.2**.**
Proposition 4.1 shows that, on the maximal operator is a closed, symmetric operator. Of course, is not, in general, symmetric on
Theorem 4.1**.**
The operator is a closed, densely defined symmetric operator in .
Proof.
(i) is Hermitian
:
Let Then, by Proposition 4.1 and the fact that is symmetric in , we see that
[TABLE]
Hence is Hermitian.
(ii) is dense in :
Since is dense in and is surjective, it is clear that is dense in
(iii) is symmetric in :
This follows immediately from (i) and (ii).
(iv) is closed in :
Suppose that is such that
[TABLE]
and
[TABLE]
These conditions in 4.20 and 4.21 are equivalent to
[TABLE]
and
[TABLE]
We need to show that and that is to say, we need to prove:
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
Since we see that so, by Proposition 4.1,
[TABLE]
establishing 4.24 and 4.25 For the remainder of this proof, write
[TABLE]
and
[TABLE]
where ,
[TABLE]
and
[TABLE]
From 4.29 and the definition of we see that
[TABLE]
so that, from 4.23
[TABLE]
It follows that
[TABLE]
so that Notice that
[TABLE]
From 4.22, 4.29 and 4.30 we deduce that
[TABLE]
Since is closed, we see that and, in particular, that . By definition of the partial GKN set we must have
[TABLE]
Combining 4.31 and 4.32 we obtain
[TABLE]
establishing 4.26 Finally,
[TABLE]
so, by 4.23 which proves 4.27. This completes the proof that is closed. ∎
This brings us to the proof of the fundamental relation between the maximal and minimal operators and .
Theorem 4.2**.**
**
Proof.
For a calculation shows that
[TABLE]
(see Definition 4.50). Notice that when and , we obtain
[TABLE]
since is an orthonormal basis of Suppose now that so and Then
[TABLE]
where
[TABLE]
and
[TABLE]
By 4.12 so, from 4.33 we obtain
[TABLE]
We now deal with each of the five terms in 4.35 First, from Lemma 3.3,
[TABLE]
From 4.34, we see that
[TABLE]
From 4.5 so
[TABLE]
Likewise, from 4.9 we see that so
[TABLE]
Together, 4.36 4.37 4.38 and 4.39 show that
[TABLE]
and, hence, we obtain
[TABLE]
To show , let and set Then for
[TABLE]
since is closed. Written out, the identity in 4.42 gives
[TABLE]
In particular, if then 4.43 reduces to
[TABLE]
Thus and def
[TABLE]
Substituting 4.44 into 4.43 and recalling that is symmetric in yields
[TABLE]
In particular, let so . From 4.34 we see that Hence, we find that 4.45 becomes
[TABLE]
Since is a basis for we can conclude from 4.46 that
[TABLE]
Consequently, from 4.44 and 4.47 we see that
[TABLE]
so
[TABLE]
Combining 4.41 and 4.48, we obtain ∎
Together Theorem 4.1 and Theorem 4.2 establish the following fundamental operator relationship between and
Theorem 4.3**.**
**
Consequently we may apply the Stone-von Neumann theory to the minimal operator Accordingly we define the positive and negative deficiency spaces associated with in
Definition 4.3** (Deficiency Spaces in the Extended Space ).**
[TABLE]
Remarkably, as we shall see in the next result, the deficiency spaces and are isomorphic. We note that, since is self-adjoint, then is invertible.
Lemma 4.1**.**
* if and only if and Moreover, the deficiency indices of are equal and finite and satisfy def*
Proof.
Let . Then and Therefore and . Conversely if and then so . We see that the mappings given by are vector space isomorphisms. In particular, This shows that the deficiency indices of the minimal operator are finite and equal with
[TABLE]
∎
In particular, equation (4.49) guarantees the GKN-EM theorem applies to . We now define the (degenerate) symplectic form in associated with the operators and We remark that, in equation (4.33), we actually already computed this symplectic form.
Definition 4.4** (General Symplectic Form).**
[TABLE]
where is the symplectic form defined in 3.4 and where the mapping is defined in 4.8
We are now in position to apply the GKN-EM Theorem (Theorem 3.2) to the minimal operator in and, as a result, characterize all self-adjoint extensions (respectively, restrictions) of (respectively, the maximal operator
Theorem 4.4** (GKN-EM Theorem in ).**
We have the following assumptions/definitions
- (i)
* and are, respectively, the minimal and maximal operators in called the base complex Hilbert space, with domains and is a closed, symmetric operator satisfying with and * 2. (ii)
The deficiency indices of are assumed to be equal and finite and denoted by def** 3. (iii)
* is the symplectic form given by*
[TABLE]
see Definition 3.4 4. (iv)
* the extension space, is a finite dimensional complex Hilbert space with dim** def** *Condition 4.1 and orthonormal basis 5. (v)
* is a self-adjoint operator;* 6. (vi)
, the extended space, is the Hilbert space defined in 1.4 with inner product 1.5 7. (vii)
* is a partial GKN set *see 4.2 and 4.3 8. (viii)
* *see 4.4 9. (ix)
* is defined to be*
[TABLE]
see 4.5 10. (x)
* is given by*
[TABLE]
see 4.8 11. (xi)
* is the minimal operator in defined by*
[TABLE]
see Definition 4.1 12. (xii)
* is the maximal operator in defined by*
[TABLE]
see 4.2 13. (xiii)
* is the symplectic form given by*
[TABLE]
see 4.50
Under these definitions and assumptions, we obtain the following results
- (a)
* is a closed, symmetric operator satisfying with and *see Theorems 4.1 and 4.2 2. (b)
The deficiency indices of are equal and finite and def* *see Lemma 4.1 3. (c)
*Suppose is a self-adjoint extension of **equivalently, is a self-adjoint restriction of satisfying Then there exists a GKN set *see Remark 3.1 satisfying the two conditions
- ()
* is linearly independent modulo * 2. ()
* for *
such that
[TABLE] 4. (d)
*If is defined by 4.51 and 4.52 where is a GKN set satisfying conditions and then is a self-adjoint extension of *equivalently, is a self-adjoint restriction of in
5. Examples
5.1. Example 1: The Legendre Type Self-Adjoint
Operator
Throughout this example, we let (with its usual inner product) and endowed with the weighted Euclidean inner product
[TABLE]
here is a fixed, positive constant. Let be the orthonormal basis in given by
[TABLE]
and, for this example, suppose is the zero self-adjoint operator.
In [3, 4, 12], the authors discuss the spectral analysis of the Legendre type differential expression defined earlier in (1.3); that is,
[TABLE]
where is the same constant appearing in (5.1). This differential expression was first discovered by H. L. Krall [13, 14]. When
[TABLE]
the equation has a polynomial solution of degree that is,
[TABLE]
The sequence is called the Legendre type polynomials; they form a complete orthogonal sequence in the Hilbert space where
[TABLE]
with inner product
[TABLE]
and where is the Lebesgue-Stieltjes measure given by
[TABLE]
When we see from (5.3) and (5.5) that
[TABLE]
Various properties of the Legendre type polynomials can be found in [12].
Because the measure has jumps at the classic GKN theory is not immediately applicable in finding a self-adjoint operator representation of in In order to construct Everitt and Littlejohn [3, 4] first studied properties of functions in the maximal domain
[TABLE]
where is the maximal operator, generated by in the Hilbert space They establish the remarkable smoothness property
[TABLE]
and hence, upon making the natural identifications
[TABLE]
we can say that
[TABLE]
Moreover, they prove that the associated sesquilinear form has the simple formulation
[TABLE]
Considering this last formula and Lemma 3.3, it is apparent that the minimal domain associated with is explicitly given by
[TABLE]
The deficiency index of the minimal operator generated by in is def This follows since each endpoint is in the limit-3 case which can be shown by a Frobenius analysis. We emphasize that we are not seeking to find self-adjoint extensions of in but instead we want to find a self-adjoint representation of in which produces the Legendre type polynomials as eigenfunctions. By analyzing functions in Everitt and Littlejohn show that the operator defined by
[TABLE]
is self-adjoint, has the Legendre type polynomials as eigenfunctions, and has discrete spectrum
[TABLE]
where each is given in (5.4). It is surprising that the maximal domain is the domain of a self-adjoint operator in . By the GKN Theorem, cannot be the domain of a self-adjoint extension of in
We now show, using the results developed in this paper, how to construct the self-adjoint operator given in (5.14) in the direct sum space Indeed, below, we construct a self-adjoint operator that is, essentially, the operator defined in (5.14). With this alternative approach, we will see how continuity is a GKN-EM boundary condition that produces the Legendre type self-adjoint operator
The first step in our analysis is to observe that the space is isometrically isomorphic to the direct sum
[TABLE]
Next define by
[TABLE]
we remark that such functions in exist by Naimark’s Patching Lemma [15, Lemma 2, Section 17.3]. It is straightforward to see, using (5.9) and (5.10), that is a GKN set for Consequently, we see that
[TABLE]
where is defined in (4.4). Moreover,
[TABLE]
where is defined in (5.2) and where is the map defined in (4.5). Using (5.9), calculations show that
[TABLE]
It follows that
[TABLE]
where is the mapping defined in (4.8).
The minimal operator , in this example, is given by
[TABLE]
From the theory we established in Section 4, is a closed, symmetric operator in with def
Using (5.17), we see that the associated maximal operator is given explicitly by
[TABLE]
From (5.1), (5.9) and (5.17), a calculation shows that the symplectic form defined in (4.50), is given by
[TABLE]
for Define , for by
[TABLE]
From (5.9) and (5.10), we see that is a GKN set for Calculations also show that
[TABLE]
In addition, we see that
[TABLE]
We now claim that
Proposition 5.1**.**
* is a GKN set for *
Proof.
Suppose that
[TABLE]
By definition of we see that This implies that However since is a GKN set for , we must have . Hence is linearly independent modulo Next, using 5.22 we see that
[TABLE]
Calculations also show that
[TABLE]
This completes the proof of the Proposition. ∎
We now find the appropriate self-adjoint operator in having the Legendre type polynomial vectors as eigenfunctions. Indeed, using Theorem 4.4 part (d), the operator , defined by
[TABLE]
is self-adjoint.
We now investigate each of the two boundary conditions in (5.26). From (5.22), (5.23) and (5.24), a calculation shows that
[TABLE]
implying
[TABLE]
A similar calculation, using (5.23) and (5.24), yields
[TABLE]
which establishes
[TABLE]
Hence the domain of given in (5.26), simplifies to
[TABLE]
Notice that this domain (5.29) extends the continuity of each from to the closure It is remarkable that, in this sense, continuity is a GKN-EM boundary condition. Furthermore, from (5.5), (5.6) and (5.25), notice that
[TABLE]
Moreover, is the same operator as defined in (5.14).
Remark 5.1**.**
If is an arbitrary self-adjoint operator in the operator defined by
[TABLE]
is self-adjoint in . However, it is the case that the Legendre type polynomial vectors are eigenfunctions of if and only if
5.2. Example 2: A Simple First-Order Differential Operator
Let be endowed with the standard inner product
[TABLE]
and let have the usual Euclidean inner product
[TABLE]
In this example, we show how to construct a self-adjoint operator in generated by the first-order Lagrangian symmetric differential expression
[TABLE]
Our construction can be modified to find numerous other self-adjoint operators in generated by
The maximal and minimal domains in associated with are respectively given by
[TABLE]
and
[TABLE]
see [17, Chapter 13, Example 13.4]. The symplectic form associated with is given by
[TABLE]
An elementary calculation shows that the deficiency indices of are equal with
Choose as the orthonormal basis for . All self-adjoint operators have the form for some real number we fix one such an operator. Define by
[TABLE]
and note that
[TABLE]
It is clear, from (5.30), that is not the minimal domain; moreover, from (5.31), we see that
[TABLE]
this shows that is a GKN set for in Moreover, with this GKN set, the reader can readily verify, using Theorem 2.3, that the operator defined by
[TABLE]
is self-adjoint in see [17, Chapter 13, Example 13.4] for an interesting direct proof of the self-adjointness of
The operators and from Section 4 are given by
[TABLE]
and
[TABLE]
The maximal operator and the minimal operator can now both be defined. Indeed,
[TABLE]
and
[TABLE]
The symplectic form associated with is given by
[TABLE]
for
Define by
[TABLE]
from (5.32), we see that
[TABLE]
We now show that is a GKN set for From (5.33), note that
[TABLE]
We claim that indeed, otherwise, we have
[TABLE]
for some However, choosing or shows that (5.35) is not possible. It now follows that is a GKN set for
From (5.33), we see that
[TABLE]
It now follows, from Theorem 3.2 and (5.36), that the operator defined by
[TABLE]
is self-adjoint.
5.3. Example 3: Variations on the Fourier Self-Adjoint
Operator
For this example, we consider the well known Fourier differential expression
[TABLE]
where is a compact interval. Here, the Hilbert space is and, in the sub-examples below, we will consider to be either or with a weighted Euclidean inner product.
The maximal operator is defined by
[TABLE]
while the minimal operator is given by
[TABLE]
The symplectic form associated with is given by
[TABLE]
Because is regular, the deficiency index of is def Consequently, by the GKN Theorem, every self-adjoint extension of in will be a certain restriction of the maximal operator defined by two appropriate boundary conditions. One such self-adjoint operator is the classical Fourier trigonometric self-adjoint operator in generated by with domain
[TABLE]
We list several examples of self-adjoint operators, generated by in .
5.3.1. One Dimensional Extension Spaces
Consider the one dimensional extension space with basis given by
[TABLE]
Every self-adjoint operator has the form for some for this example, we fix such a Observe the Hilbert space is suggested in a natural way by the inner product
[TABLE]
With this particular inner product in mind, is isomorphic to the Lebesgue-Stieltjes integration space generated by the discontinuous Lebesgue-Stieltjes measure
[TABLE]
**Example 3.1 **With the partial GKN set for in given by
[TABLE]
a calculation shows that is a GKN set for in where
[TABLE]
We leave it to the reader to check that
[TABLE]
From these equations, we see that the operator
[TABLE]
is self-adjoint in
**Example 3.2 **By picking the partial GKN set for in where
[TABLE]
and the GKN set for in where
[TABLE]
the reader can check that the operator
[TABLE]
is self-adjoint in
5.3.2. Two Dimensional Extension Spaces
For the last three examples, let have the weighted inner product
[TABLE]
where Let be a basis for The reader can check that the most general form of a self-adjoint operator , using this inner product, has the matrix representation
[TABLE]
where and
**Example 3.3 **Define by
[TABLE]
[TABLE]
It is the case that is a GKN set for in and is a GKN set for in Moreover, using 5.39, we see that
[TABLE]
and
[TABLE]
In particular,
[TABLE]
With calculations show that
[TABLE]
and
[TABLE]
yielding
[TABLE]
That is, the boundary conditions expressed in 5.41 and 5.42 yield continuity of functions in the domain of the self-adjoint operator defined by
[TABLE]
[TABLE]
where is given in 5.40 and
[TABLE]
In this case, the setting can be identified with the Hilbert function space given by
[TABLE]
where is the norm generated by the inner product
[TABLE]
and is the Lebesgue-Stieltjes measure generated by the distribution function
[TABLE]
**Example 3.4 **For this example, we switch the roles of and which are defined in Example 5.3.2. Note that, in this case, is a GKN set for and is a GKN set for The calculations given in the previous example hold with the exception
[TABLE]
Again, with we find that
[TABLE]
and
[TABLE]
so that
[TABLE]
In this case, the operator defined by
[TABLE]
with domain
[TABLE]
is self-adjoint. In this case, for the inner product on simplifies to the discrete Sobolev inner product
[TABLE]
Notice that, because of the derivatives in the discrete part of 5.43 the closure of is not a function space and there is no positive Borel measure generating this inner product.
**Example 3.5 **For our last example, we consider a variation of the last two examples. Indeed, define by
[TABLE]
[TABLE]
In this case is a GKN set for and is a GKN set for Moreover, a calculation shows
[TABLE]
With the two boundary conditions
[TABLE]
[TABLE]
yield
[TABLE]
These calculation show that the operator , given by
[TABLE]
with domain
[TABLE]
is self-adjoint in For each the ‘mixed’ inner product in reduces to
[TABLE]
As in the last example, no positive Borel measure generates this inner product and the closure of in the topology from is not a function space.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 2[2] N. Dunford and J. T. Schwartz, Linear Operators, Part II, John Wiley Publishers, New York, 1963.
- 3[3] W. N. Everitt, A. M. Krall, and L. L. Littlejohn, On some properties of the Legendre type differential expression, Quaestiones Math., 13(1), 1990, 83-116.
- 4[4] W. N. Everitt and L. L. Littlejohn, Differential operators and the Legendre type polynomials, Differential and Integral Equations, 1(1), 1988, 97-116.
- 5[5] W. N. Everitt and L. L. Littlejohn, Orthogonal polynomials and spectral theory: a survey, Proceedings of the III International Symposium on Orthogonal Polynomials and Applications, Erice, Italy, 1990. IMACS Annals on Computing and Applied Mathematics 9(1991), 21-55; J. C. Baltzer AG, Basel, Switzerland, 1991, 21-55.
- 6[6] W. N. Everitt, L. L. Littlejohn and R. Wellman, Orthogonal polynomial solutions of linear ordinary differential equations, Proceedings of the Fifth International Symposium on Orthogonal Polynomials, Special Functions and their Applications (Patras, 1999), J. Comput. Appl. Math. 133 (2001), no. 1-2, 85–109.
- 7[7] W. N. Everitt and L. Markus, The Glazman-Krein-Naimark Theorem for Ordinary Differential Operators, Operator Theory: Advances and Applications 98(1997), 118-130.
- 8[8] W. N. Everitt and L. Markus, Complex Symplectic Geometry with Applications to Ordinary Differential Operators, Trans. Amer. Math. Soc., 351(12), 1999, 4905-4945.
