Pseudodifferential operators and weighted normed symbol spaces
Johannes Sjoestrand

TL;DR
This paper investigates classes of pseudodifferential operators with symbols characterized by phase space estimates, aiming to understand their properties within weighted normed symbol spaces.
Contribution
It introduces a framework for analyzing pseudodifferential operators using phase space estimates in weighted normed symbol spaces, expanding existing theoretical understanding.
Findings
Characterization of pseudodifferential operators in weighted normed spaces
Development of phase space estimate techniques for symbols
Enhanced understanding of operator boundedness and regularity
Abstract
In this work we study some general classes of pseudodifferential operators whose symbols are defined in terms of phase space estimates.
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Taxonomy
TopicsMathematical Analysis and Transform Methods · Advanced Harmonic Analysis Research · Holomorphic and Operator Theory
Pseudodifferential operators and weighted normed symbol spaces
J. Sjöstrand
CMLS
Ecole Polytechnique
FR 91120 Palaiseau cédex, France
UMR7640–CNRS
Abstract
In this work we study some general classes of pseudodifferential operators where the classes of symbols are defined in terms of phase space estimates.
Résumé
On étudie des classes générales d’opérateurs pseudodifférentiels dont les classes de symboles sont définis en termes d’éstimations dans l’espace de phase.
Keywords and Phrases: Pseudodifferential operator, symbol, modulation space. Mathematics Subject Classification 2000: 35S05
Contents
- 1 Introduction
- 2 Symbol spaces
- 3 Effective kernels and -boundedness
- 4 Composition
- 5 More direct approach using Bargmann transforms
- 6 classes
- 7 Further generalizations
1 Introduction
This paper is devoted to pseudodifferential operators with symbols of limited regularity. The author [28] introduced the space of symbols on the phase space with the property that
[TABLE]
for some function on . Here the hat indicates that we take the Fourier transform, is a lattice and form a partition of unity, , . A. Boulkhemair [4] noticed that this space is identical to a space that he had defined differently in [3].
It was shown among other things that this space of symbols is an algebra for the ordinary multiplication and that this fact persists after quantization, namely the corresponding pseudodifferential operators (say under Weyl quantization) form a non-commutative algebra: If belong to the class above with corresponding functions and then where belongs to the same class and as a correponding function we may take for any . Here indicates convolution and is the Weyl quantization of the symbol , given by
[TABLE]
The definition (1.1) is independent of the choice of lattice and the corresponding function . When passing to a different choice, we may have to change the function to for any fixed . We then gain the fact that the weight is an order function in the sense that
[TABLE]
(See [11] where this notion is used for developing a fairly simple calculus of semi-classical pseudodifferential operators, basically a special case of Hörmander’s Weyl calculus [26].)
The space of functions in (1.1) is a special case of the modulation spaces of H.G. Feichtinger (see [12, 14]), and the relations between these spaces and pseudodifferential operators have been developed by many authors; K. Gröchenig [18, 19], Gröchenig, T. Strohmer [22], K. Tachigawa [32], J. Toft [33], A. Holst, J. Toft, P. Wahlberg [25]. Here we could mention that Boulkhemair [5] proved -continuity for Fourier integral operators with symbols and phases in the original spaces of the type (1.1), that T. Strohmer [31] has applied the theory to problems in mobile communications and that Y. Morimoto and N. Lerner [27] have used the original space to prove a version of the Fefferman-Phong inequality for pseudodifferential operators with symbols of low regularity. This result was recently improved by Boulkhemair [8].
Closely related works on pseudodifferential - and Fourier - integral operators with symbols of limited regularity include the works of Boulkhemair [6, 7], and many others also contain a study of when such operators or related Gabor localization operators belong to to Schatten-von Neumann classes: E. Cordero, Gröchenig [9, 10], C. Heil, J. Ramanathan, P. Topiwala [24], Heil [23], J. Toft [34], and M.W. Wong [37].
The present work has been stimulated by these developments and the prospect of using “modulation type weights” to get more flexibility in the calculus of pseudodifferential operators with limited regularity. In the back of our head there were also some very stimulating discussions with J.M. Bony and N. Lerner from the time of the writing of [28, 29] and at that time Bony explained to the author a nice very general point of view of A. Unterberger [36] for a direct microlocal analysis of very general classes of operators. Bony used it in his work [1] and showed how his approach could be applied to recover and generalize the space in [28]. However, the aim of the work [1] was to develop a very general theory of Fourier integral operators related to symplectic metrics of Hörmander’s Weyl calculus of pseudodifferential operators, and the relation with [28] was explained very briefly. See [2] for even more general classes of Fourier integral operators.
In the present paper we make a direct generalization of the spaces of [28]. Instead of using order functions only depending on we can now allow arbitrary order functions . See Definition 2.1 below. In Proposition 2.4 we show that this definition gives back the spaces above when the weight is an order function of only.
In Section 3 we consider the quantization of our symbols and show how to define an associated effective kernel on , , which is where and is the natural Hamilton map induced by the symplectic structure. We show that if the effective kernel is the kernel of a bounded operator : then our pseudodifferential operator is bounded in . In particular if only depends on , we recover the -boundedness when is integrable. This result was obtained previously by Bony [1], but our approach is rather different.
In Section 4 we study the composition of pseudodifferential operators in our classes. If are symbols associated to the order functions , , then the Weyl composition is a well defined symbol associated to the order function given in (4.11), provided that the integral there converges for at least one value of (and then automatically for all other values by Proposition 4.1). This statement is equivalent to the corresponding natural one for the effective kernels, namely the composition is well defined if the composition of the majorant kernels and is well-defined, see (4.16), (4.17).
In Section 5 we simplify the results further (for those readers who are familiar with Bargmann transforms from the FBI - complex Fourier integral operator point of view).
In Section 6 we use the same point of view to give a simple sufficient condition on the order function and the index , for the quantization to belong to the Schatten–von Neumann class for every symbol belonging to the symbol class with weight . See [34, 35, 25, 20, 21] for related results and ideas.
In Section 7 we finally generalize our results by replacing the underlying space on certain lattices by more general translation invariant Banach spaces. We believe that this generalization allows to include modulation spaces, but we have contented ourselves by establishing results allowing to go from properties on the level of lattices to the level of pseudodifferential operators. The results could undoubtedly be even further generalized. In this section and the preceding one, we have been inspired by the use of lattices and amalgan spaces in time frequency analysis, in particular by the work of Gröchenig and Strohmer [22] that uses previous results by Fournier–Stewart [15] and Feichtinger [13].
We have chosen to work with the Weyl quantization, but it is clear that the results carry over with the obvious modifications to other quantizations like the Kohn-Nirenberg one, actually for the general symbol-spaces under consideration the results could also have been formulatated directly for classes of integral operators.
Similar ideas and results have been obtained in many other works, out of which some are cited above and later in the text.
**Acknowledgements. **We thank J.M. Bony for a very stimulating and helpful recent discussion. The author also thanks K. Gröchenig, T. Strohmer, A. Boulkhemair and J. Toft for several helpful comments and references.
2 Symbol spaces
Let be a -dimensional real vector space. We say that is an order function on if there exist constants , , such that
[TABLE]
Here and is a norm on .
Let be as above, let be the dual space and let be a lattice in , so that where is a basis in . Let have the property that
[TABLE]
Let be an order function on , .
Definition 2.1
We say that if there is a constant such that
[TABLE]
where and denotes the Weyl quantization of . The norm will always be the the one in if nothing else is indicated.
To define the -norm we need to choose a Lebesgue measure on , but clearly that can only affect the choice of the constant in (2.3).
Proposition 2.2
* is a Banach space with equal to the smallest possible constant in (2.3). Changing , and replacing the norm by the -norm for any in the above definition, gives rise to the same space with an equivalent norm.*
**Proof ** The Banach space property will follow from the other arguments so we do not treat it explicitly. Let be as in Definition 2.1.
Let be another lattice and let be another function with the same properties as . We have to show that
[TABLE]
Lemma 2.3
* such that , where .*
**Proof ** Let be equal to 1 near , and put . Then in , when , so for small enough,
[TABLE]
has a bounded inverse in . Here is the space of all that are bounded with all their derivatives. By a version of the Beals lemma (see for instance [11]), we then know that the inverse is of the form where . Also , . Put for small enough and fixed, so that , (using for instance the simple pseudodifferential calculus in [11]). Then .
Now, write
[TABLE]
Here (using for instance [11])
[TABLE]
Hence, if is large enough,
[TABLE]
Conversely, if , , we see that by the same arguments that , .
Next, we check that this is essentially a generalization of a space introduced by Sjöstrand [28] and independently and in a different way by Boukhemair [3]. It is a special case of more general modulation spaces (see [12, 14]). That follows from the next result if we take an order function independent of .
Proposition 2.4
Let be an order function on and let , , where is a lattice and . Then
[TABLE]
**Proof ** Let be a lattice and choose , such that , where . If belongs to the set in the right hand side of (2.5), then by Parseval’s relation,
[TABLE]
Now , where , , , so . Conversely, if , we get (2.6). According to Proposition 2.2, we can replace the norm by any norm, and the proof shows that we can equally well replace the norm that of . Taking , we get
[TABLE]
and since is an order function, we deduce that belongs to the set in the right hand side of (2.5).
3 Effective kernels and -boundedness
A closely related notion for effective kernels in terms of short time Fourier transforms has been introduced by Gröchenig and Heil [20].
We now take . If , we let
[TABLE]
denote the Weyl composition so that . Here where we write , instead of , whenever convenient.
We know that the Weyl composition is still well-defined when belong to various symbol spaces like
[TABLE]
when is an order function on . (See Example 4.3 below for a straight forward generalization.)
Let be a linear form on and let be a symbol. Then,
[TABLE]
where (with “”) is the Hamilton field of . Similarly,
[TABLE]
[TABLE]
where we notice that , and
[TABLE]
if is a second linear form on .
If is fixed, we may consider that is concentrated near . Then we say that is concentrated near . Conversely, if is concentrated near a point , we let be the unique vector with and write
[TABLE]
where is concentrated near .
To make this more precise, let (as in [30])
[TABLE]
be a generalized Bargmann transform where is a quadratic form on with , , and with suitably chosen, so that is unitary , where denotes the Lebesgue measure on and is the strictly plurisubharmonic quadratic form given by
[TABLE]
We know ([30]) that if , then
[TABLE]
where
[TABLE]
is the linear canonical transformation associated to . Here , following standard conventions in complex analysis.
If we have an exact version of Egorov’s theorem, saying that
[TABLE]
where is given by . In [30] it is dicussed how to define and estimate the Weyl quantization of symbols on the Bargmann transform side, by means of almost holomorphic extensions and contour deformations. We retain from the proof of Proposition 1.2 in that paper that
[TABLE]
where the kernel is non-unique but can be chosen to satisfy
[TABLE]
for every . (This immediately implies the Calderón-Vaillancourt theorem for the class .)
If , then for every
[TABLE]
where are seminorms in .
Identifying with , we can view as a function on and (3.15) becomes
[TABLE]
Now, let in (3.7) be concentrated near with , where we let be the map (and we shall prefer to write when we do not think of this quantity as a constant coefficient vector field). Then by (3.5)–(3.7), we have
[TABLE]
[TABLE]
Now it is wellknown that if then is a unitary operator that can be viewed as a quantization of the phase space translation . On the Bargmann transform side these quantizations can be explicitly represented as magnetic translations, i.e. translations made unitary by multiplication by certain weights. In fact, let be a linear form on which is real on , so that
[TABLE]
By essentially the same calculation as in the real setting, we see that
[TABLE]
and here we recall from the unitary and metaplectic equivalence with (via ) that is unitary, or equivalently that
[TABLE]
(A simple calculation shows more directly the equivalence of (3.19) and (3.20).) Notice also that if we identify with a function on via the natural projection , then is identified with , where the Hamilton field is viewed as a real constant vector field on .
It follows that has a kernel satisfying
[TABLE]
and from (3.16) we get
[TABLE]
so the kernel of is concentrated near .
Now, let be an order function on and let . Choose a lattice and a partition of unity as in (2.2) as well as a function as in Lemma 2.3. Write
[TABLE]
where . Then, using that is continuous: , we see that is concentrated near in the above sense and more precisely,
[TABLE]
where we write .
Let , so that
[TABLE]
and hence
[TABLE]
so (3.23) implies
[TABLE]
where we used that is an order function in the last inequality. Choose with , sum over and use (3.22) to get
[TABLE]
We get
Theorem 3.1
Let , where is an order function on , . Then has an effective kernel (rigorously defined after applying a Bargmann transform as above) satisfying (3.25), where is a norm of . In particular, if is the kernel of an -bounded operator, then is bounded: .
As mentioned in the introduction, the statement on -boundedness here is due to Bony [1], who obtained it in a rather different way. A calculation, similar to the one leading to (3.25), has been given by Gröchenig [18].
Corollary 3.2
If is the kernel of a Shur class operator i.e. if
[TABLE]
then is bounded: .
Corollary 3.3
Assume is independent of , for and , then is bounded: .
4 Composition
Let , , and consider the Weyl composition of the two symbols , , concentrated near and respectively:
[TABLE]
We work in canonical coordinates and identify and . Then
[TABLE]
and is convolution with , given by
[TABLE]
The phase has a unique nondegenerate critical point and the corresponding critical value is equal to . Hence for some (known) constant .
The composition (4.1) becomes
[TABLE]
The exponent in the last integral can be rewritten as
[TABLE]
and the composition (4.1) takes the form , where
[TABLE]
Since is a nondegenerate quadratic form, we have for every by integration by parts,
[TABLE]
Hence for every ,
[TABLE]
Using the triangle inequality, we get
[TABLE]
so
[TABLE]
and hence for every ,
[TABLE]
Clearly, we have the same estimates for the derivatives of . It follows that the composition (4.1) is equal to , where
[TABLE]
and where and for every seminorm on and every , there is a seminorm on such that
[TABLE]
It follows that :
[TABLE]
with corresponding norm bounded by
[TABLE]
for all where are suitable seminorms on .
If , then is well-defined and belongs to provided that the integrals defining and below converge. Here (replacing summation over lattices by integration)
[TABLE]
In order to understand the integral (4), we put , , , and study the set where the arguments inside the three brackets vanish simultaneously:
[TABLE]
which can be transformed to
[TABLE]
Now it is clear that for every there is an such that
[TABLE]
Since , are order functions, we have
[TABLE]
where is the affine orthogonal projection and we write . We conclude that for large enough,
[TABLE]
where
[TABLE]
or more explicitly,
[TABLE]
Reversing the above estimates, we see that , if is large enough.
Proposition 4.1
If the integral in (4.10) converges for one value of , then it converges for all values and defines an order function .
**Proof ** Suppose the integral converges for the value and consider any other value . We have the measure preserving map
[TABLE]
so
[TABLE]
The proposition follows.
From the above discussion, we get
Theorem 4.2
Let , be order functions on and define by (4.11). Assume that is finite for at least one so that is a well-defined order function by Proposition 4.1. Then the composition map
[TABLE]
has a bilinear extension
[TABLE]
Moreover,
[TABLE]
We end this section by establishing a connection with the effective kernels of Section 3. Let be as in the theorem with . According to Theorem 3.1, we then know that has an effective kernel satisfying
[TABLE]
Since the composition of the effective kernels of and is an effective kernel for we expect that
[TABLE]
or more explicitly,
[TABLE]
Writing
[TABLE]
we check that the integral in (4.17) coincides with the one in (4.11) up to a constant Jacobian factor, so the results of this section fit with the ones of Section 3.
Example 4.3
Let , , where are order functions on of the form
[TABLE]
Then, the effective kernels of satisfy
[TABLE]
Then is well-defined and belongs to , where
[TABLE]
provided that the last integral converges for at least one (and then all) value(s) of . If we use that
[TABLE]
we get
[TABLE]
Thus and are well-defined if
[TABLE]
The integral in (4.18) is in any region where . For , we write , where
- •
is the integral over . Here .
- •
is the integral over . Here .
- •
is the integral over . Here .
We get
[TABLE]
with the convention that we tacitly add a factor when the expression inside is equal to [math]. Similarly (with the same convention),
[TABLE]
In view of (4.19), we have
[TABLE]
it follows that
[TABLE]
so with the same convention, we have
[TABLE]
This simplifies to
[TABLE]
if we strengthen the assumption (4.19) to:
[TABLE]
5 More direct approach using Bargmann transforms
By using Bargmann transforms more systematically (from the point of view of Fourier integral operators with complex phase) the results of Section 3, 4 can be obtained more directly. The price to pay however, is the loss of some aspects that might be helpful in other situations like the ones with variable metrics.
Let be real -dimensional space as in Section 2 and define as in (3.8)–(3.11). Then we have
Proposition 5.1
If is an order function on , then
[TABLE]
where the best constant is a norm on .
**Proof ** Assume first that belongs to and write as in Lemma 2.3. The effective kernel of satisfies
[TABLE]
for every , where throughout the proof we identify with by means of and work on the latter space. Here is the natural projection. Then we see that
[TABLE]
Conversely, if , then since the effective kernel of also satisfies (5.2), we see that , implying , and hence
With this in mind, we now take and look for an explicit choice of effective kernel for . Let be a Bargmann transform as above. Consider first the map from to the distribution kernel of , given by
[TABLE]
We view this as a Fourier integral operator with quadratic phase. The associated linear canonical transformation is given by:
[TABLE]
which we can write as
[TABLE]
From the unitarity of , we know that , where
[TABLE]
We can therefore define the effective kernel of to be
[TABLE]
where
[TABLE]
We write this as
[TABLE]
with , so
[TABLE]
where
[TABLE]
We see that is a unitary Bargmann transform, where
[TABLE]
The canonical transformation associated to is
[TABLE]
If
[TABLE]
we check that
[TABLE]
Clearly is a Bargmann transform with associated canonical transformation , so in view of (5.4) the map is also a Bargmann transform with associated canonical transformation
[TABLE]
where . The restriction to the real phase space is
[TABLE]
and this restriction determines our complex linear canonical transformation uniquely.
As in Section 3 we may view the effective kernel in (5.6) as a function on , by identifying with respectively. With this identification and using also the general characterization in (5.1) (with replaced by ), we see that if , then iff
[TABLE]
where we shortened the notation by writing instead of and instead of .
Theorem 3.1 now follows from (5.16), (5.6), (5.7).
Theorem 4.2 also follows from (5.16), (5.6), (5.7) together with the remark that the kernel is the unique kernel which is holomorphic on , such that the corresponding given in (5.6) is of temperate growth at infinity and (5.7) is fulfilled. Indeed, then it is clear that
[TABLE]
and the bound (5.16) for with follows directly from the corresponding bounds for with .
6 classes
In this section we give a simple condition on an order function on () and a number that implies the property:
[TABLE]
Here is the Schatten–von Neumann class of operators: , see for instance [16].
Let be an order function on and let . Consider the following property, where is given in (4.15) and is a lattice,
[TABLE]
Notice that if (6.2) holds and if we fix some number , then if is a block matrix where every is an matrix then
[TABLE]
Proposition 6.1
The property (6.2) only depends on but not on the choice of .
**Proof ** Let satisfy (6.2) and let be a second lattice in . Let be a matrix satisfying . Let be a point that realizes the distance from to , so that for some constant . Let and choose an enumeration , , for every . Then we can identify with the matrix where is the matrix with the entries
[TABLE]
Then and we can apply (6.3) to conclude.
Theorem 6.2
Let be an order function and . If (6.2) holds, then we have (6.1).
**Proof ** Assume that (6.2) holds and let . Define as in (5.7). It suffices to estimate the norm of the operator , given by
[TABLE]
or equivalently the one of , given by
[TABLE]
with given in (5.6). Recall that (identifying with via ), so .
For we have (identifying with a lattice in )
[TABLE]
where
[TABLE]
is holomorphic with
[TABLE]
and
[TABLE]
Here we identify with their images respectively. In fact, the case is clear and we get the extension to arbitrary from the Cauchy inequalities, since is holomorphic.
We can also write
[TABLE]
where
[TABLE]
so
[TABLE]
Consider a partition of unity
[TABLE]
where is open with smooth boundary. Let , so that (6.10) holds for .
Let be defined by
[TABLE]
so that the adjoint of is given by
[TABLE]
Then and its adjoint are bounded operators and
[TABLE]
where and , are given by the kernels and respectively. It now suffices to show that
[TABLE]
belongs to with a norm that is bounded by a constant times the -norm of .
Let be an orthonormal basis of eigenfunctions of minus the Dirichlet Laplacian in , arranged so that the corresponding eigenvalues form an increasing sequence. Then , form an orthonormal basis of eigenfunctions of the corresponding operator in . From (6.10) it follows that the matrix elements of with respect to the bases and satisfy
[TABLE]
for every . We notice that is the matrix of with respect to the orthonormal basis . We can represent this matrix as a block matrix , where has the matrix . Since (6.2) holds and , we deduce from (6.13) that
[TABLE]
Choosing , we get
[TABLE]
Hence and the uniform bound also follows from the proof.
Example 6.3
Assume that
[TABLE]
Then
[TABLE]
is a matrix where each translated diagonal has an norm which is summable with respect to . Now a matrix with non-vanishing elements in only one translated diagonal has a norm equal to the norm of that diagonal, so we conclude that the norm of the matrix in (6.17) is bounded by
[TABLE]
We clearly have the same conclusion for every matrix satisfying , so (6.2) holds and hence by Theorem 6.2 we have the property (6.1).
7 Further generalizations
Let be a -dimensional real vector space and let be a lattice. We shall extend the preceding results by replacing the -norm in the definition of the symbol spaces by a more general Banach space norm. Let be a Banach space of functions with the following properties:
[TABLE]
[TABLE]
where , , . (The last assumption will soon be replaced by a stronger one.)
If , we get
[TABLE]
where (is independent of ). Thus
[TABLE]
We need to strengthen (7.2) to the following assumption:
[TABLE]
It follows that , for all , , or equivalently that
[TABLE]
so
[TABLE]
If then using only the translation invariance (7.1), we get
[TABLE]
Using also (7.4) we get the following partial strengthening: Let satisfy where . Then
[TABLE]
where is independent of . In fact,
[TABLE]
and in (7.7) satisfies pointwise.
Let be a second lattice and let satisfy (7.1), (7.4). We say that if the following property holds for some :
[TABLE]
If (7.8) holds for one and then it also holds with replaced by . This is obvious when and if , it follows from the observation that
[TABLE]
(cf. (4.20), where is the integral in (4.18), is replaced by , and we take ), which allows us to write
[TABLE]
where and belongs to since (7.8) holds.
Definition 7.1
Let be two lattices in and let be Banach spaces of functions on and respectively, satisfying (7.1), (7.4). Then we say that , if and . Notice that this is an equivalence relation.
We can now introduce our generalized symbol spaces. With as above, let be a lattice and a Banach space satisfying (7.1), (7.4). Let .
Definition 7.2
We say that if the function
[TABLE]
belongs to . Here is the partiction of unity (2.2).
Proposition 2.2 extends to
Proposition 7.3
* is a Banach space with the natural norm. If we replace by , having the same properties, and with equivalent to , and if we further replace the norm by the norm for any , we get the same space, equipped with an equivalent norm.*
**Proof ** It suffices to follow the proof of Proposition 2.2: From the estimate (2) we get for any ,
[TABLE]
where we also used that is an order function. Hence, since , are equivalent,
[TABLE]
The reverse estimate is obtained the same way.
As a preparation for the use of Bargmann transforms, we next develop a “continuous” version of -spaces; a kind of amalgam spaces in the sense of [22, 13, 15]. Let be a lattice in a -dimensional real vector space and let satisfy (7.1), (7.4). Let satisfy .
Definition 7.4
We say that the locally bounded measurable function is of class , if there exists such that
[TABLE]
The space of such functions is a Banach space that we shall denote by , equipped with the norm
[TABLE]
This space does not depend on the choice of and we may actually characterize it as the space of all locally bounded measurable functions on such that
[TABLE]
where is any fixed number. Clearly (7.8) implies (7.11). Conversely, if satisfies (7.11) and is as in Definition 7.4, then
[TABLE]
so if (7.11) holds, we have,
[TABLE]
and .
Similarly, the definition does not change if we replace by an equivalent space .
Let be order functions on , , respectively, where is a real vectorspace of dimension . Let be lattices and let
[TABLE]
be Banach spaces satisfying (7.1), (7.4). Introduce the
Assumption 7.5
If , , then
[TABLE]
converges absolutely for every . Moreover, and
[TABLE]
where is independent of .
Again, it is an easy exercise to check that the assumption is invariant under changes of the lattices and the passage to corresponding equivalent -spaces.
Proposition 7.6
We make the Assumption 7.5, where satisfy (7.1), (7.4). Let for in the sense that . Then the integral
[TABLE]
converges absolutely and defines a function . Moreover,
[TABLE]
where is independent of , .
**Proof ** Write
[TABLE]
with , as in Definition 7.4 and with . Then
[TABLE]
where
[TABLE]
We notice that and that only for finitely many . Hence for some ,
[TABLE]
Since
[TABLE]
for every fixed , and the assumption 7.5 implies that
[TABLE]
for every .
The proposition follows.
We next generalize (5.1). Let and define as in (3.8)–(3.11). Let be an order function on , let be a lattice and let satisfy (7.1), (7.4). Then we get
Proposition 7.7
we have
[TABLE]
where is the natural projection.
**Proof ** This will be a simple extension of the proof of (5.1). As there, we identify with by means of and work on the latter space. Assume first that and write as in Lemma 2.3, so that . Using (5.2), we see that
[TABLE]
and hence , i.e. belongs to the right hand side of (7.12) (with the identification ).
Conversely, if , then since the effective kernel of satisfies (5.2), we see that
[TABLE]
where . It follows that
[TABLE]
where , and hence , so .
From this, we deduce as in (5.16) that if , , then iff
[TABLE]
where is the effective kernel of in (5.6), (5.7) after identification of with via the map . We recall the identity (5.17) for the composition of two symbols.
(7.13) can also be written
[TABLE]
where is given in (4.15).
The following generalization of Theorem 4.2 now follows from Proposition 7.6.
Theorem 7.8
For , let be an order function , where , let be a lattice and let satisfy (7.1), (7.4). Let , , . Assuming (as we may without loss of generality) that where is a lattice, we make the Assumption 7.5 for .
Then if , , the composition is well defined and belongs to , in the sense that the corresponding composition of effective kernels in (5.17) is given by an absolutely convergent integral and .
We next consider the action of pseudodifferential operators on generalized symbol spaces. Our result will be essentially a special case of the preceding theorem. We start by “contracting” Assumption 7.5 to the case when .
Let be order functions on , , respectively. Let , be lattices and let
[TABLE]
be Banach spaces satisfying (7.1), (7.4). Assumption 7.5 becomes
Assumption 7.9
If , , then
[TABLE]
converges absolutely for every , and we have . Moreover,
[TABLE]
where is independent of .
The corresponding “contraction” of Proposition 7.6 becomes
Proposition 7.10
Let Assumption 7.9 hold, where satisfy (7.1), (7.4). Let for . Then the integral
[TABLE]
converges absolutely and defines a function . Moreover,
[TABLE]
where is independent of , .
We get the following result for the action of pseudodifferential operators on generalized symbol spaces.
Theorem 7.11
Let be order functions on and let be an order function on . Let be a lattice such that where is a lattice. Let , satisfy (7.1), (7.4). We make the Assumption 7.9 with and with , replaced with , , where is given in (4.15).
Then, if , , the distribution is well-defined in in the sense that
[TABLE]
with as in (5.6), converges absolutely for every and
[TABLE]
as in (7.12).
We shall finally generalize Theorem 6.2.
Theorem 7.12
Let and let be an order function on where . Let be a lattice and a Banach space satisfying (7.1), (7.4). Assume that
[TABLE]
where is given in (4.15) and is independent of . Then there is a (new) constant such that
[TABLE]
The proof of Proposition 6.1 shows that the property (7.15) is invariant under changes with equivalent to .
**Proof ** We follow the proof of Theorem 6.2. Assume that (7.15) holds and let be of norm . It suffices to show that is in with norm , where is given in (6.4) and there belongs to , provided that we identify with via .
We see that we still have (6.9) where (6.10) should be replaced by
[TABLE]
Write as in (6.12),
[TABLE]
The matrix elements of now obey the estimate (cf. (6.13)):
[TABLE]
with as in (7.18). Using (7.15), this leads to (6.14) and from that point on the proof is identical to that of Theorem 7.12.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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