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ABSTRACT
The aim of this paper is to improve and generalize some results stated in Ghobber (A variant of the Hankel multiplier. Banach J Math Anal. 2018;12(1):144–166). We also give new results about the boundedness and compactness of Hankel two-wavelet multipliers on the space for
.
2010 MATHEMATICS SUBJECT CLASSIFICATIONS:
1. Introduction
It is well known that when we consider radial functions, the Fourier transform becomes the Hankel transform of order . Indeed, taking the Hankel transform of order α, with
, as
where
and
is the modified Bessel function, it is verified that
, where
is the classical Fourier transform of f on
.
Very recently, many authors have been interested to the behaviour of the Hankel transform with respect to several problems already studied for the Fourier transform, like generalized potentials [Citation1,Citation2], multipliers [Citation3,Citation4], uncertainty inequalities [Citation5–7], wavelets [Citation8], time-frequency concentration and localization [Citation3,Citation9], variation diminishing [Citation10], and so on.
One of the aims of the Fourier transform is the study of the theory of wavelet multipliers. This theory was initiated by He and Wong [Citation11], developed in the paper [Citation12] by Du and Wong, and detailed in the book [Citation13] by Wong.
Recently, Ghobber [Citation3], with the aid of the harmonic analysis associated with the Bessel operator, has defined and studied the Hankel wavelet multipliers. In the same paper [Citation3], Ghobber has given a trace formula for the Hankel wavelet multiplier as a bounded linear operator in the trace class from into
in terms of the symbol and the two admissible wavelets.
The aim of this paper is to improve, generalize the results given in [Citation3], and to give other new results on the boundedness and compactness of Hankel two-wavelet multipliers.
The remainder of this paper will be arranged as follows.
In Section 2, we state some basic notions and results from harmonic analysis associated with the Bessel operator that will be needed throughout this paper.
The aim of Section 3 is to survey and revisit some results for the Hankel two-wavelet multipliers. More precisely, we give an explicit formula for the function that occurs in the lower bound for the trace norm as that of class Hankel two-wavelet multipliers. A result concerning the trace of products of Hankel two-wavelet multipliers is proved. In this section, we also introduce the generalized Landau–Pollak–Slepian operator which allows us to give an example of a Hankel two-wavelet multiplier. Our result generalize and improve Ghober's result concerning the Landau–Pollak–Slepian operator from the Hankel one-wavelet multiplier.
Section 4 is devoted to study the boundedness and compactness of these two-wavelet multipliers when suitable conditions on the symbols and the two admissible wavelets are satisfied.
2. Preliminaries
This section deals with some basic notions and results in harmonic analysis associated with the Bessel operator that will be needed in the sequel. For more details, we refer the interested reader to [Citation14] for instance.
Throughout this paper, we fix . We denote by:
.
the Schwartz space of even rapidly decreasing functions on
.
the space of even
-functions on
which are of compact support.
the space of even functions of class
on
.
For
,
denotes as in all that follows, the conjugate exponent of p.
,
, the space of measurable functions f on
such that
For p=2, we provide the space with the inner product
Let
be the Bessel operator defined by
Then, the following problem
admits a unique solution
, where
is the function defined by
(2.1)
(2.1) and
is the Bessel function of the first kind and index α (see [Citation15,Citation16]). The function
has the following Poisson representation formula:
(2.2)
(2.2) and for all
, we have
(2.3)
(2.3) The Hankel translation operator
is defined on
for all
by
(2.4)
(2.4) It is well known that the Hankel translation operator satisfies the following product formula
(2.5)
(2.5) For every
, the function
belongs to
and we have
(2.6)
(2.6) The Hankel convolution product of f,g in
is defined by
(2.7)
(2.7) The Young inequality for the Hankel convolution product
” reads as follows: if p,q and
are such that
, then for all f in
and g in
, the function
belongs to the space
, with the following inequality
(2.8)
(2.8) The Hankel transform
is defined on
by
(2.9)
(2.9) The following properties hold.
For f in
we have
(2.10)
(2.10)
(Inversion formula) Let
be such that
, then we have
(2.11)
(2.11)
(Paley-Wiener theorem) The Hankel transform
is a topological isomorphism from
onto itself.
(Plancherel's formula) The Hankel transform
can be extended to an isometric isomorphism from
onto itself and we have
(2.12)
(2.12)
(Parseval's formula) For all
, we have
(2.13)
(2.13)
3. Hankel two-wavelet multipliers
3.1. Schatten-von Neumann classes
Notation. We denote by
,
, the set of all infinite sequences of real (or complex) numbers
, such that
For p=2, we provide this space
with the scalar product
,
, the space of bounded operators from
into itself.
Definition 3.1
The singular values
of a compact operator A in
are the eigenvalues of the positive self-adjoint operator
.
For
the Schatten class
is the space of all compact operators whose singular values lie in
. The space
is equipped with the norm
Remark 3.1
We mention that the space is the space of Hilbert-Schmidt operators, and
is the space of trace class operators.
Definition 3.2
The trace of an operator A in is defined by
(3.2)
(3.2) where
is any orthonormal basis of
.
Remark 3.2
If A is positive, then
(3.3)
(3.3) Moreover, a compact operator A on the Hilbert space
is Hilbert-Schmidt, if the positive operator
belongs to the space of trace class
. With this, we have
(3.4)
(3.4) for any orthonormal basis
of
.
Definition 3.3
We also define the space equipped with the norm,
(3.5)
(3.5)
Remark 3.3
It is obvious that , for any
3.2. Revisiting Hankel two-wavelet multipliers
The aim of this subsection is to survey and revisit some results for the Hankel two-wavelet multipliers.
Definition 3.4
Let be measurable functions on
we define the Hankel two-wavelet multiplier operator noted by
on
,
, by
(3.6)
(3.6)
In accordance with the different choices of the symbols σ and the different continuities required, we need to impose different conditions on u and v. We then obtain an operator on .
It is often more convenient to interpret the definition of in a weak sense, that is, for f in
,
, and g in
, we have
(3.7)
(3.7) In the sequel of this section, u and v denote two any functions in
satisfying the following condition
Below, we recall fourth results that have been proved by Ghobber [Citation3].
Proposition 3.1
[Citation3]
Let σ be in . Then there exists a unique bounded linear operator
such that
(3.8)
(3.8)
Proposition 3.2
[Citation3]
Let σ be a symbol in . Then the Hankel two-wavelet multiplier
is compact.
Proposition 3.3
[Citation3]
Let σ be in . Then
is in
, with
(3.9)
(3.9) and the following trace formula
(3.10)
(3.10)
Proposition 3.4
[Citation3])
Let σ be in . Then, the Hankel two-wavelet multiplier
is in
and we have
(3.11)
(3.11)
In the remainder of this subsection we establish some new results for the Hankel two-wavelet multipliers.
Proposition 3.5
Let . The adjoint of linear operator
is
.
Proof.
For any f in and g in
, (Equation3.7
(3.7)
(3.7) ) immediately implies that
Thus we get
(3.12)
(3.12)
Theorem 3.1
Let σ be in . Then we have
(3.13)
(3.13) where
is given by
(3.14)
(3.14)
Proof.
First, it is easy to see that belongs to
. Since σ is in
, by Proposition 3.4,
is in
. Using [Citation13, Theorem 2.2], there exists an orthonormal basis
for the orthogonal complement of the kernel of the operator
, consisting of eigenvectors of
and
an orthonormal set in
, such that
(3.15)
(3.15) where
refer to the positive singular values of
corresponding to
. We then get
According to formula (Equation3.15
(3.15)
(3.15) ), we obtain
Thanks to Fubini's theorem, we then deduce
Now, using Plancherel's formula given by (Equation2.12
(2.12)
(2.12) ) we can write
The proof is complete.
Remark 3.4
If u=v and if σ is a real-valued and non-negative functions in then
is a positive operator. So, by (Equation3.3
(3.3)
(3.3) ) and Proposition 3.3 we have
(3.16)
(3.16)
Now we state a result concerning the trace of products of Hankel two-wavelet multipliers.
Corollary 3.1
Let and
be any real-valued and non-negative functions in
. We assume that u=v is a function in
such that
. Then, the Hankel two-wavelet multipliers
are positive trace class operators and
for any natural number n.
Proof.
By Theorem 1 in the paper [Citation17], we know that if A and B are in the trace class and are positive operators, then
So, if we take
,
and we invoke the previous remark, we obtain the desired result, so completing the proof.
3.3. The generalized Landau–Pollak–Slepian operator
The purpose of this subsection is to give an example of a Hankel two-wavelet multiplier which improve and generalize Ghobber's result concerning the Landau–Pollak–Slepian operator from the Hankel one-wavelet multiplier.
Let R, and
be positive numbers. We define the linear operators
by
where
stands for the characteristic function of the interval
.
Adapting the proof of Proposition 20.1 in the book [Citation13], we prove the following.
Proposition 3.6
The linear operators
are self-adjoint projections.
The bounded linear operator it is called the generalized Landau–Pollak–Slepian operator. We can show that the generalized Landau–Pollak–Slepian operator is in fact a Hankel two-wavelet multiplier.
Theorem 3.2
Let u and v be the functions on defined by
where
Then the generalized Landau–Pollak–Slepian operator
is unitary equivalent to a scalar multiple of the Hankel two-wavelet multiplier
In fact
(3.17)
(3.17) where
(3.18)
(3.18)
Proof.
It is easy to see that u and v belong to and
By simple calculations we find
for all f, g in and hence the proof is complete.
The next result gives a formula for the trace of the generalized Landau–Pollak–Slepian operator.
Corollary 3.2
We have
(3.19)
(3.19)
Proof.
The result is an immediate consequence of Theorem 3.2 and Proposition 3.3.
4. ![](//:0)
boundedness and compactness of ![](//:0)
![](//:0)
4.1. Boundedness for symbols in ![](//:0)
![](//:0)
Let ,
and
, with
.
We wish to establish that is a bounded operator on
. Let us start with the following propositions.
Proposition 4.1
Let σ be in and
then the Hankel two-wavelet multiplier
is a bounded linear operator and we have
(4.1)
(4.1)
Proof.
For every function f in , we have from the relations (Equation3.6
(3.6)
(3.6) ), (Equation2.10
(2.10)
(2.10) ) and (Equation2.3
(2.3)
(2.3) )
Thus
Proposition 4.2
Let σ be in and
then the Hankel two-wavelet multiplier
is a bounded linear operator and we have
(4.2)
(4.2)
Proof.
Let f in . As above, from the relations (Equation3.6
(3.6)
(3.6) ), (Equation2.10
(2.10)
(2.10) ) and (Equation2.3
(2.3)
(2.3) ) we obtain
Thus
Remark 4.1
Proposition 4.2 is also a corollary of Proposition 4.1, since the adjoint of
is
.
Using an interpolation of Propositions 4.1 and 4.2, we get the following result.
Theorem 4.1
Let u and v be functions in . Then for all σ in
there exists a unique bounded linear operator
such that
(4.3)
(4.3)
With a Schur technique, we can obtain an -boundedness result as in the previous theorem, but the estimate for the norm
is cruder.
Theorem 4.2
Let σ be in and u,v be in
. Then there exists a unique bounded linear operator
such that
(4.4)
(4.4)
Proof.
Let be the function defined on
by
(4.5)
(4.5) We have
By simple calculations, it is not hard to see that
and
Thus by Schur Lemma (cf. [Citation18]), we can conclude that
is a bounded linear operator for any
, and we have
Remark 4.2
The previous theorem tells us that the unique bounded linear operator on ,
, obtained by interpolation in Theorem 4.1 is in fact the integral operator on
with kernel
given by (Equation4.5
(4.5)
(4.5) ).
We can give another version of the -boundedness. Firstly we generalize and we improve Proposition 4.2.
Proposition 4.3
Let σ be in ,
and
, for
. Then the Hankel two-wavelet multiplier
is a bounded linear operator, and we have
(4.6)
(4.6)
Proof.
For any , consider the linear functional
From the relation (Equation3.7
(3.7)
(3.7) )
Using the relation (Equation2.9
(2.9)
(2.9) ), (Equation2.3
(2.3)
(2.3) ) and Hölder's inequality, we get
Thus, the operator
is a continuous linear functional on
, and the operator norm
As
, by the Riesz representation theorem, we have
which concludes the proof.
Combining Proposition 4.1 and Proposition 4.3, we have the following theorem.
Theorem 4.3
Let σ be in and
for
. Then the Hankel two-wavelet multiplier
is a bounded linear operator, and we have
(4.7)
(4.7)
We can now state and prove the main result of this subsection.
Theorem 4.4
Let σ be in ,
, and
. Then there exists a unique bounded linear operator
for all
and we have
(4.8)
(4.8) where
(4.9)
(4.9)
(4.10)
(4.10) and
Proof.
Consider the linear functional
Due to Proposition 4.1 and Proposition 3.1 we obtain
(4.11)
(4.11) and
(4.12)
(4.12) Therefore, by (Equation4.11
(4.11)
(4.11) ), (Equation4.12
(4.12)
(4.12) ) and the multi-linear interpolation theory, see Section 10.1 in [Citation19], we get a unique bounded linear operator
such that
(4.13)
(4.13) where
and
By the definition of
, we have
As the adjoint of
is
, so
is a bounded linear map on
with its operator norm
(4.14)
(4.14) where
Using an interpolation of (Equation4.13(4.13)
(4.13) ) and (Equation4.14
(4.14)
(4.14) ), we have that, for any
,
with
4.2. Compactness of ![](//:0)
![](//:0)
Proposition 4.4
Under the same hypothesis as in Theorem 4.1, the Hankel two-wavelet multiplier is compact.
Proof.
Let such that
weakly in
as
. It is enough to prove that
We have
(4.15)
(4.15) Now using the fact that
weakly in
, we deduce that
(4.16)
(4.16) On the other hand, since
weakly in
as
, then there exists a positive constant C such that
. Hence by simple computations we get
(4.17)
(4.17) Moreover, from Fubini's theorem and relation (Equation2.3
(2.3)
(2.3) ), we have
(4.18)
(4.18)
Thus from the relations (Equation4.15(4.15)
(4.15) )–(Equation4.18
(4.18)
(4.18) ) and the Lebesgue dominated convergence theorem we deduce that
and the proof is complete.
In the following, we give two results for compactness of the Hankel two-wavelet multipliers.
Theorem 4.5
Under the hypothesis of Theorem 4.1, the bounded linear operator
is compact for
.
Proof.
From the previous proposition, we only need to show that the conclusion holds for . In fact, the operator
is the adjoint of the operator
, which is compact by the previous proposition. Thus by the duality property,
is compact. Finally, by an interpolation of the compactness on
and on
such as that given in the book [Citation20, p.202–203] by Bennett and Sharpley, we conclude the proof.
The following result is an analogue of Theorem 4.4 for compact operators.
Theorem 4.6
Under the hypotheses of Theorem 4.4, the bounded linear operator
is compact for all
.
Proof.
The result is an immediate consequence of an interpolation of Proposition 3.4 and Proposition 4.4. See again the book [Citation20, p.202–203] for the interpolation used therein.
Remark 4.3
Our hope that this work motivates the researchers to study the two-wavelet multipliers for the Bessel-Struve transform on , [Citation21].
5. Conclusions
In the present paper, we have successfully studied many spectral theorems associated with the Hankel two-wavelet multipliers. The obtained results have a novelty and contribution to the literature, and they improve and generalize the results of Ghobber [Citation3].
Acknowledgments
The author is deeply indebted to the referees for providing constructive comments and helps in improving the content of this article. The author also thanks the professors K. Trimèche, M.W. Wong and M. Raïssouli for their helps.
Disclosure statement
No potential conflict of interest was reported by the author.
References
- Cholewinski MF, Haimo DT. Inversion of the Hankel potential transform. Pacific J Math. 1971;37(2):319–330. doi: 10.2140/pjm.1971.37.319
- Nowak A, Stempak K. Potential operators associated with Hankel and Dunkl transforms. J Anal Math. 2017;131(1):277–321. doi: 10.1007/s11854-017-0009-4
- Ghobber S. A variant of the Hankel multiplier. Banach J Math Anal. 2018;12(1):144–166. doi: 10.1215/17358787-2017-0051
- Betancor JJ, Marrero I. Multipliers of Hankel transformable generalized functions. Comment Math Univ Carolinae. 1992;33:389–401.
- Bowie PC. Uncertainty inequalities for Hankel transforms. SIAM J Math Anal. 1971;2:601–606. doi: 10.1137/0502059
- Omri S. Local uncertainty principle for the Hankel transform. Integ Transf Special Funct. 2010;21:703–712. doi: 10.1080/10652461003675760
- Omri S. Logarithmic uncertainty principle for the Hankel transform. Integ Transf Special Funct. 2011;22:655–670. doi: 10.1080/10652469.2010.537266
- Peng L, Ma R. Wavelets associated with Hankel transform and their Weyl transforms. Sci China Math. 2004;47:393–400. doi: 10.1360/02ys0371
- Ghobber S, Omri S. Time-frequency concentration of the windowed Hankel transform. Integ Transf Special Funct. 2014;25:481–496. doi: 10.1080/10652469.2013.877009
- Hirschman I. Variation diminishing Hankel transforms. J Anal Math. 1960;8:307–336. doi: 10.1007/BF02786854
- He Z, Wong MW. Wavelet multipliers and signals. J Austral Math Soc Ser B. 1999;40:437–446. doi: 10.1017/S0334270000010523
- Du J, Wong MW. Traces of wavelet multipliers. C R Math Rep Acad Sci Canada. 2001;23:148–152.
- Wong MW. Wavelet transforms and localization operators. Operator theory. Vol. 136. Berlin: Birkhäuser; 2002.
- Trimèche K. Generalized harmonic analysis and wavelet packets. Australia: Gordon and Breach Science Publisher, Taylor and Francis; 2001.
- Lebedev NN. Special functions and their applications. New York: Dover Publications; 1972.
- Watson GN. A treatise on the theory of Bessel functions. Cambridge: Cambridge University Press; 1995.
- Liu L. A trace class operator inequality. J Math Anal Appl. 2007;328:1484–1486. doi: 10.1016/j.jmaa.2006.04.092
- Folland GB. Introduction to partial differential equations. 2nd ed. Princeton: Princeton University Press; 1995.
- Calderon JP. Intermediate spaces and interpolation, the complex method. Studia Mathematica. 1964;24:113–190. doi: 10.4064/sm-24-2-113-190
- Bennett C, Sharpley R. Interpolation of operators. New York (NY): Academic Press; 1988.
- Mejjaoli H, Trimèche K. A variant of cowling-price's and Miyachi's theorems for the Bessel-Struve transform on Rd. J Taibah Univ Sci. 2018;12(4):415–420. doi: 10.1080/16583655.2018.1477031