Eigenfunction expansions of ultradifferentiable functions and ultradistributions. III. Hilbert spaces and Universality
Aparajita Dasgupta, Michael Ruzhansky

TL;DR
This paper investigates the structure of smooth function spaces generated by Hilbert space elements, establishing their perfect sequence space nature, tensor structures, and demonstrating their universality on compact manifolds.
Contribution
It extends previous work by characterizing these function spaces as perfect sequence spaces and proving their universality on compact manifolds.
Findings
Spaces are perfect sequence spaces
Tensor structure of sequential mappings characterized
Universality of these spaces on compact manifolds proven
Abstract
In this paper we analyse the structure of the spaces of smooth type functions, generated by elements of arbitrary Hilbert spaces, as a continuation of the research in our previous papers in this series. We prove that these spaces are perfect sequence spaces. As a consequence we describe the tensor structure of sequential mappings on the spaces of smooth type functions and characterise their adjoint mappings. As an application we prove the universality of the spaces of smooth type functions on compact manifolds without boundary.
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Eigenfunction expansions of ultradifferentiable functions and ultradistributions. III. Hilbert spaces and Universality
Aparajita Dasgupta
Aparajita Dasgupta: Department of Mathematics Indian Institute of Technology, Delhi, Hauz Khas New Delhi-110016 India E-mail address [email protected]
and
Michael Ruzhansky
Michael Ruzhansky: Department of Mathematics: Analysis, Logic and Discrete Mathematics Ghent University, Belgium and School of Mathematical Sciences Queen Mary University of London United Kingdom E-mail address [email protected]
Abstract.
In this paper we analyse the structure of the spaces of smooth type functions, generated by elements of arbitrary Hilbert spaces, as a continuation of the research in our papers [4] and [5]. We prove that these spaces are perfect sequence spaces. As a consequence we describe the tensor structure of sequential mappings on the spaces of smooth type functions and characterise their adjoint mappings. As an application we prove the universality of the spaces of smooth type functions on compact manifolds without boundary.
Key words and phrases:
Smooth functions; Hilbert spaces; Komatsu classes; sequence spaces; tensor representations; universality.
1991 Mathematics Subject Classification:
Primary 46F05; Secondary 22E30
The second author was partly supported by the FWO Odysseus Project, by the EPSRC Grant EP/K039407/1, and by the Leverhulme Research Grant RPG-2014-02.
Contents
1. Introduction
The present paper is a continuation of our papers [4] and [5]. In [5], we analysed the structure of the spaces of coefficients of eigenfunction expansions of functions in Komatsu classes on compact manifolds. We also described the tensor structure of sequential mappings on spaces of Fourier coefficients and characterised their adjoint mappings. In particular, these classes include spaces of analytic and Gevrey functions, as well as spaces of ultradistributions, dual spaces of distributions and ultradistributions, in both Roumieu and Beurling settings. In another work, [4], we have characterised Komatsu spaces of ultradifferentiable functions and ultradistributions on compact manifolds in terms of the eigenfunction expansions related to positive elliptic operators. Here we note that, using properties of the elliptic operators and the Plancherel formula one can get such type of characterisation of smooth functions in terms of their Fourier coefficients. For example, if is a positive elliptic pseudo-differential operator on a compact manifold without boundary and denotes its eigenvalues in the ascending order, then smooth functions on can be characterised in terms of their Fourier coefficients:
[TABLE]
where with being the eigenfunction corresponding to the eigenvalue (of multiplicity ). Such characterisations for analytic functions were obtained by Seeley in [25], with a subsequent extension to Gevrey and, more generally, to Komatsu classes, in [4]. The results obtained in [5] do not include the cases of smooth functions on compact manifolds. We will extend the results in [5] to the spaces of smooth functions. Moreover in this work, we aim at discussing an abstract analysis of the spaces of smooth type functions generated by basis elements of an arbitrary Hilbert space. Considering an abstract point of view has an advantage that the results will cover the analysis of smooth functions on different spaces like compact Lie groups and manifolds. In particular, we introduce a notion of smooth functions generated by elements of a Hilbert space forming a basis. We will show that the appearing spaces of coefficients with respect to expansions in eigenfunctions of positive self-adjoint operators are perfect spaces in the sense of the theory of sequence spaces (see, e.g., Köthe [11]). Consequently, we obtain tensor representations for linear mappings between spaces of smooth type functions. Such discrete representations in a given basis are useful in different areas of time-frequency analysis, in partial differential equations, and in numerical investigations.
Using the obtained representations we establish the universality properties of the appearing spaces. In [29], L. Waelbroeck proved the so-called universality of the space of Schwartz distributions with compact support on a -manifold with the -mapping that is, any vector valued -mapping from to a sequence space , factors through by a unique linear morphism as The universality of the spaces of Gevrey functions on the torus has been established in [27]. As an application of our tensor representations, we prove the universality of the spaces of smooth functions on compact manifolds.
Our analysis is based on the global Fourier analysis on arbitrary Hilbert spaces using techniques similar to compact manifold which was consistently developed in [6], with a number of subsequent applications, for example to the spectral properties of operators [7], or to the wave equations for the Landau Hamiltonian [21]. The corresponding version of the Fourier analysis is based on expansions with respect to orthogonal systems of eigenfunctions of a self-adjoint operator. The non self-adjoint version has been developed in [20], with a subsequent extension in [22].
The paper is organised as follows. In Section 2 we will briefly recall the constructions leading to the global Fourier analysis on arbitrary Hilbert spaces and define the smooth type function spaces.In Section 3 we very briefly recall the relevant definitions from the theory of sequence spaces. In Section 4 we present the main results of this paper and their proofs. In Section 5 we prove the universality results for the smooth functions on compact manifold.
2. Fourier Analysis on Hilbert Spaces
Let be a separable Hilbert space and denote by
[TABLE]
a collection of elements of . We assume that is a basis of the space with the property
[TABLE]
where is the Kroneckar delta, equal to 1 for , and to zero otherwise. Also let us fix a sequence of positive numbers such that and the series
[TABLE]
converges for some For example, in a compact manifold of dimension without boundary and with a fixed measure we have
[TABLE]
where are eigenvalues of a positive elliptic pseudo-differential operator of an integer order , with the corresponding eigenspace and
[TABLE]
We associate to the pair a linear self-adjoint operator such that
[TABLE]
for and those for which the series converges in Then is densely defined since
[TABLE]
and is a basis of . Also we write and so Then we have
[TABLE]
The Fourier transform for is defined as
[TABLE]
We next define the following notions:
The spaces of smooth type functions are defined by
[TABLE]
where
[TABLE]
There exists a linear pairing
[TABLE]
for and It is easy to see from this that every continuous linear functional on is of the form for some that is Then we denote the space of distributions as .
3. Sequence spaces and sequential linear mappings
We briefly recall that a sequence space is a linear subspace of
[TABLE]
The dual (-dual in the terminology of G. Köthe [11]) is a sequence space defined by
[TABLE]
A sequence space is called perfect if . A sequence space is called normal if implies A dual space is normal so that any perfect space is normal.
A pairing on is a bilinear function on defined by
[TABLE]
which converges absolutely by the definition of
Definition 3.1**.**
* is called a sequential linear functional if there exists some such that for all We abuse the notation by also writing for this mapping.*
Definition 3.2**.**
A mapping between two sequence spaces is called a sequential linear mapping if
- (1)
* is algebraically linear,* 2. (2)
for any the composed mapping is in
4. Tensor representations and the adjointness
In this section we discuss -duals of the spaces, tensor representations for mappings between these spaces and their -duals, and obtain the corresponding adjointness theorem.
4.1. Duals and -duals
In this section we first prove that the -dual, of the space where
[TABLE]
coincides with the space
Remark 4.1**.**
Here we observe that,
[TABLE]
*Indeed, let Define for and
Then It follows from (2.1) and the definition of that
From the definition of the -dual and using the inequality,*
[TABLE]
we can then conclude that,
[TABLE]
Our first result is the identifiction of the topological dual with the -dual.
Theorem 4.2**.**
**
Proof.
First we will show
Let
Then from the definition we have We denote for Using the Cauchy-Schwartz inequality, for any we get
[TABLE]
This implies that We thus obtain
Next we will show that
By duality we know that So it will be enough if we can prove
Let Then for we define
[TABLE]
Then using Remark 4.1 we have
[TABLE]
since . So is well defined.
We next check that is continuous. Let as in This means, as which implies as for . So we have
[TABLE]
where as Then
[TABLE]
as Hence is continuous. This gives So we have that implies ∎
From this we can have the following corollary.
Corollary 4.3**.**
* and we denote *
Remark 4.4**.**
From the definition of ,
[TABLE]
where
We next define the -dual of the space
[TABLE]
Also observe that From this we can state the following lemma and the proof will follow from our above observation.
Lemma 4.5**.**
* for some we have .*
Next we proceed to prove that is a perfect space. But before that let us prove the following lemma.
Lemma 4.6**.**
We have if and only if for all
Proof.
Let Let we define
[TABLE]
Then and so because in view of (2.1) we have
[TABLE]
Then which gives Now we observe first that
[TABLE]
since
We want to show that To prove this we will use the following identity:
[TABLE]
From this we get
[TABLE]
We consider the second term of the above inequality, that is,
[TABLE]
since Then we get
[TABLE]
where Now
[TABLE]
which implies that that is This gives that
[TABLE]
as and So we have from (4.4), (4.5) and (4.7) that
[TABLE]
Next we proceed to prove the opposite direction. Let
[TABLE]
be such that for all Let In particular, we have for some We have to show
[TABLE]
By the Cauchy-Schwartz inequality we have
[TABLE]
It follows that completing the proof.∎
Now using Remark 4.4 and Lemma 4.6 we can prove that the spaces are perfect spaces.
Theorem 4.7**.**
* is a perfect space.*
Proof.
From the definition we always have We will prove the other direction. Let and
Define
[TABLE]
The series is convergent and since
[TABLE]
since and using (2.1) and Lemma 4.6.
Also from the property for and it is obvious that This gives So by Lemma 4.6,
[TABLE]
and so from Remark 4.4 we have which implies that holds. ∎
4.2. Adjointness
Before proving the adjointness theorem we first prove the following lemma,
Lemma 4.8**.**
Let and . Then we have
[TABLE]
where and and the same for Moreover, suppose that for all (4.10) holds. Then we must have Also, if for all (4.10) holds, we have
Proof.
Let us assume first that
[TABLE]
for or . We observe that
[TABLE]
And so we have
[TABLE]
Now we prove the other direction. Here we will use the following inequality,
[TABLE]
for any yielding
[TABLE]
We consider the second term of the above inequality, that is,
[TABLE]
since and so Then we get
[TABLE]
Let for Then
[TABLE]
Then for any we have, using (4.13), that
[TABLE]
Now since in particular we can have for any which gives, using (2.1)
[TABLE]
So Then we have for
[TABLE]
completing the proof. ∎
We next prove the adjointness theorem, also recalling Definition 3.1. Let be two Hilbert spaces and and be the operators defined by (2.2) corresponding to the bases respectively, where and and Also and We denote the corresponding spaces to the operators and in the Hilbert space and respectively by and
Theorem 4.9**.**
A linear mapping is sequential if and only if is represented by an infinite tensor and such that for any and we have
[TABLE]
and
[TABLE]
Furthermore, the adjoint mapping defined by the formula is also sequential, and the transposed matrix represents , with and related by
Let us summarise the ranges for indices in the used notation as well as give more explanation to (4.16). For and we write
[TABLE]
so that
[TABLE]
and
[TABLE]
where we view as a matrix, , and the product of the matrices has been explained in (4.17).
Remark 4.10**.**
Let us now describe how the tensor , , , is constructed given a sequential mapping . For every and , define the family such that each is defined by
[TABLE]
Then , and since is sequential we have , and we can write where Then for each we set
[TABLE]
the component of the vector The formula (4.21) will be shown in the proof of Theorem 4.9. In particular, since for we have it will be a consequence of (4.32) and (4.33) later on that
[TABLE]
so that the tensor is describing the transformation of the Fourier coefficients of into those of .
To prove Theorem 4.9 we first establish the following lemma.
Lemma 4.11**.**
Let be a linear mapping represented by an infinite tensor satisfying (4.15) and (4.16). Then for all and we have
[TABLE]
Proof of Lemma 4.11.
Let and Define by setting
[TABLE]
Then for any we get as This is true since so that
[TABLE]
as Now for any and and from (4.15) and (4.16) we have
[TABLE]
where
[TABLE]
and
[TABLE]
Now we have the mapping and so we have where For any and we have
[TABLE]
Then from (4.15) and (4.16) we have and since is perfect, we have for any that the series is convergent. So then Then we have
[TABLE]
as Therefore,
[TABLE]
for all and Hence for any and we have
[TABLE]
that is,
[TABLE]
Now we will use the fact that if then where with
[TABLE]
in view of Theorem 4.7. The same is true for the dual space So then this argument gives
[TABLE]
The proof is complete. ∎
Remark 4.12**.**
This proof does not require sequentiality and it can be used to improve the argument in [5, Theorem 4.7].
Proof of Theorem 4.9.
Let us assume first that the mapping can be represented by an infinite tensor such that
[TABLE]
and
[TABLE]
hold for all and
Let be such that for some where , we have
[TABLE]
Then so and
[TABLE]
We now first show that
[TABLE]
where for each and The way in which has been defined we have
[TABLE]
Also since , from our assumption we have and , so that
We can then write Since we know that and we have
[TABLE]
In particular using the definition of and (4.26) we get
[TABLE]
for any and
Now for any consider
[TABLE]
Then we consider the series
[TABLE]
so that we have
[TABLE]
Let , be such that and for all and such that
[TABLE]
Then
[TABLE]
It follows from Lemma 4.11 that
[TABLE]
Then
[TABLE]
So we proved that if satisfies
- •
,
- •
,
then for any and we have from (4.27) and (4.29), respectively, that
- (i)
, 2. (ii)
Now recall that for we have
[TABLE]
for any then for any , the composed mapping is given by
[TABLE]
So by (ii) we get that
[TABLE]
So with (from the definition of ), that is is sequential. And then is also true.
Now to prove the converse part we assume that is sequential. We have to show that can be represented as and satisfies (4.15) and (4.16).
Define for where and the sequence such that and , given by
[TABLE]
Then Now since is sequential we have and where We denote where Then and
Then for any we have
[TABLE]
For we can write We can also write
[TABLE]
So
[TABLE]
We have so
[TABLE]
From (4.32) and (4.33) we have
Hence and that is is represented by the tensor .
If we denote by we can say that is represented by the tensor Also let Since for then from the definition of we have
[TABLE]
This completes the proof of Theorem 4.9. ∎
5. Applications to universality
In this section we give an application of the developed analysis to the universality problem. We start with the spaces of smooth functions, and then make some remarks how the same arguments can be extended to the Komatsu classes setting from [4].
First we recall the notations:
Let be two Hilbert spaces and let and be the operators corresponding to the bases as in (2.2), where and and Also and
We denote the spaces of smooth type functions corresponding to the operators and in the Hilbert space and respectively, by and
The main application of Theorem 4.9 will be in the setting when are compact manifold without boundary, where and , and
Using Theorem 4.9 we prove the universality of the spaces of the smooth type functions, where we can write
[TABLE]
Further details of such spaces can be found in [6]. In particular, if is an elliptic pseudo-differential operator of positive order, then this is just the usual space of smooth functions on .
Definition 5.1**.**
Let be a self-adjoint, positive operator. A mapping from the compact manifold to a sequence space , is said to be a -mapping if for any the composed mapping belongs to .
Next we prove the universality of the spaces of smooth type functions.
Theorem 5.2**.**
Let be a compact manifold.
- (i)
The delta mapping defined by
[TABLE]
and
[TABLE]
is a -mapping.
- (ii)
If is a sequential linear mapping, then the composed mapping is a -mapping.
- (iii)
For any -mapping there exists a unique sequential linear mapping such that
Proof.
(i) Recall that
Let We define the composed mapping
[TABLE]
This is well-defined since and Also since , we see that and that implies is a -mapping.
(ii) Let
From the definition of -mapping we have to show that
Now by given condition so we have
Here we claim that
Note that
Recall that, and so for any
[TABLE]
Since the above is true for any we have and this gives
Then Using same argument as in the proof of and from the definition of the mapping we have and belongs to
So from Definition 5.1, is a -mapping.
(iii) Existence of
By hypothesis, is a -mapping so that for any A sequential linear mapping can be defined by and
Hence by Theorem 4.9 there is an adjoint mapping, we denote it by where is a sequential mapping. By the definition of the adjoint mapping we have
[TABLE]
where is the bilinear function on defined in Section 3. The above can be written as
[TABLE]
For this gives
[TABLE]
for any . This proves
Uniqueness of
Suppose We have to show that on Since is sequential, there exists such that
[TABLE]
Take then
[TABLE]
for any that is, on From for any we get for any that is on ∎
5.1. Extension to Komatsu classes
Here we briefly outline how the analysis above can be extended to the setting of Komatsu classes from [4, 5].
Remark 5.3**.**
In another work ([5]) we studied the Komatsu classes of ultra-differentiable functions on a compact manifold where be a sequence of positive numbers such that
- (1)
** 2. (2)
** 3. (3)
* for some *
In [5] we have characterised the dual spaces of these Komatsu classes and have shown that these spaces are perfect spaces, i.e, these spaces coincide with their second dual spaces. Furthermore, in [5, Theorem 4.7] we proved the following theorem for Komatsu classes of functions on a compact manifold :
Theorem 5.4** (Adjointness Theorem).**
Let and satisfy conditions . A linear mapping is sequential if and only if is represented by an infinite tensor and such that for any and we have
[TABLE]
and
[TABLE]
Furthermore, the adjoint mapping defined by the formula is sequential, and the transposed matrix represents with and related by
The above theorem described the tensor structure of sequential mappings on spaces of Fourier coefficients and characterised their adjoint mappings. Now in particular the considered classes include spaces of analytic and Gevrey functions (which are perfect spaces too), as well as spaces of ultradistributions, yielding tensor representations for linear mappings between these spaces on compact manifolds. Now using [5, Theorem 4.7] and the same techniques used in this paper to prove the universality of smooth functions in Theorem 5.2, on compact manifolds in Section 5, one also obtains the universality of the Gevrey classes of ultradifferentiable functions on compact groups (from [3]) and Komatsu classes of functions in compact manifolds. As the proof would be a repetition of those arguments, we omit it here.
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