Reconstruction inversion formulas
for the Laguerre Gabor transform
Abstract.
In this paper, we define and study the Gabor transform in the context of the Laguerre hypergroup. We prove some of its basic properties, such as Plancherel theorem, inversion formula and Calderón’s reproducing inversion formula. Next, using the harmonic analysis related to Laguerre hypergroup, we examine spaces of Sobolev type for which we make explicit kernels reproducing. Exploiting the aforesaid theory, we introduce and study the extremal function associated with the Gabor transform . Finally, by utilizing the reproducing kernels we establish important estimates for this extremal function.
Key words and phrases:
Laguerre hypergroup, Laguerre-Gabor transform, Hilbert space, Reproducing kernel, Extremal function.2005 Mathematics Subject Classification:
42B10, 44A201. Introduction
The Gabor transform is a foundational method in signal processing that provides a time-frequency representation of signals, helping to analyze and interpret their evolving frequency content. In [26], the author defined the classical Gabor transform by using translation, convolution and modulation operators of a single Gaussian to represent a one dimensional signal. The Gabor transform has been found to be very useful in many physical and engineering applications, including wave propagation, signal processing and quantum optics [5]. Many authors developed the theory of the Gabor transform and found many interesting results see for example [8, 9, 10, 16, 18, 25]. In particular, Gröchenig [8] extended Gabor theory to the setup of locally compact abelian groups. Moreover, Hleili [9], proved some uncertainty principles for the windowed linear canonical transform and investigated the localization operators associated with this transform. Recently, in [16], the author studied the Dunkl–Gabor transform on and gave the practical real inversion formulas for this transform using the theory of reproducing kernels.
Tikhonov regularization is widely applied across diverse disciplines to address ill-posed problems, enhance numerical stability, and mitigate overfitting. It plays a crucial role in a variety of applications, particularly in machine learning, as well as in signal and image processing. Over the years, the theory has been extensively developed and refined by numerous researchers, (see, for example [6, 24]). Recent advances in approximation theory have introduced more sophisticated techniques to address challenges in high-dimensional and noisy data settings. While classical methods like Tikhonov regularization remain foundational, newer approaches such as compressed sensing, variational regularization, kernel based learning, and neural network approximators offer greater flexibility and improved performance in complex inverse problems and machine learning tasks. Recent developments in approximation theory can be found in [14].
In this paper we are interested in the Laguerre hypergroup which is the fundamental manifold of the radial function space for the Heisenberg group ([4, 12]. The dual of a hypergroup is the space of all bounded continuous and multiplicative functions such that . The dual of the Laguerre hypergroup can be topologically identified with the so-called Heisenberg fan [7], i.e., the subset embedded in given by
Moreover, the subset has zero Plancherel measure, therefore it will be usually disregarded. Following [20], in this paper, we identify the dual of the Laguerre hypergroup by .
The Fourier Laguerre transform of a suitable function is given by
where is the weighted Lebesgue measure on , given by
is the function infinitely differentiable on , even with respect to the first variable defined by
and is the Laguerre polynomial of degree and order .
The Fourier transform has rich calculus and is applicable in many areas of mathematical sciences. Many authors exploited the theory of the Fourier transform and found many interesting results see for example [2, 3, 11, 17, 19, 20].
Our purpose in this work consists to study the Laguerre Gabor transform and to introduce Sobolev type spaces and for which we present their reproducing kernels. Next, by utilizing the theory of reproducing kernels, we establish some important results for the Laguerre Gabor transform and we give interesting estimates for the extremal function.
The remainder of this paper is arranged as follows. Section 2 contains some basic facts about the Laguerre hypergroup. The section Section 3 is devoted to study the Laguerre Gabor transform , for which we give a Plancherel formula, inversion formula and a Calderón’s reproducing formula. In the last section, using the aforesaid theory, we give best approximate inversion formulas for the Laguerre Gabor transform .
2. Preliminaries
In this section, we recall some important properties and results of the translation operators and the Fourier transform on the Laguerre hypergroup, which are useful in our present work. For more details, see [20]. We denote by
-
, the spaces of complex-valued functions , measurable on , such that
-
, the space of continuous functions on , even with respect to the first variable.
-
, the subspace of formed by functions with compact support.
-
the Laguerre function defined on by
where is the Laguerre polynomial of degree and order .
-
equipped with the weighted Lebesgue measure on given by
-
, the spaces of complex-valued functions , measurable on , such that
Consider the following partial differential operators system
For , , the operator is the radial part of the sub-Laplacian on the Heisenberg group .
For all , the function is infinitely differentiable on , even with respect to the first variable and satisfies
| (1) |
The harmonic analysis on the Laguerre hypergroup is generated by the singular operator
and the norm
Also, we introduce the operator defined on , where and .
The difference operators , are given for a suitable function on , by
We introduce also the quasinorm
For and , let
The generalized translation operators on the Laguerre hypergroup are given for by
The generalized translation operators on the Laguerre hypergroup satisfies the following properties
(i) For all and , the function belongs to and we have
| (2) |
(ii) For all and , we get
| (3) |
We denote by
, the space of functions , even with respect to the first variable, on and rapidly decreasing together with their derivatives, i.e., for all , we have
Equipped with the topology defined by the semi-norms , is a Fréchet space.
, the space of functions such that
(i) For all , the function
is bounded and continuous on , on such that the left and the right derivatives at zero exist.
(ii) For all , we have
Equipped with the topology defined by the semi-norms , is a Fréchet space.
For , the Fourier–Laguerre transform is defined by
| (4) |
For every , the function is bounded on and satisfies
Theorem 1 (Inversion formula).
Let such that , then for almost every
| (5) |
Theorem 2 (Plancherel theorem).
The Fourier transform can be extended to an isometric isomorphism from onto . In particular, for every
Corollary 3.
For all functions and in , we have
| (6) |
Theorem 4.
The generalized Fourier transform is a topological isomorphism from onto . The inverse mapping is given by
3. The Laguerre-Gabor transform
Let . We define the convolution product of and by
| (7) |
This definition extends to and .
The convolution verifies the following properties
Lemma 5.
1) For all and for all , the function belongs to and we have
2) Let . Then the function belongs to if and only if belongs to and we have
3) Let . Then
| (8) |
where both sides are finite or infinite.
Proof.
Definition 6.
Let and . The modulation of by is the function defined by
Definition 7.
Let . For a function , we define the Laguerre Gabor transform by
| (10) |
Proposition \theproposition.
Let , then
Proof.
The result follows from (7), the definition of and the fact that
∎
We denote by , the space of measurable functions on satisfying for
and for
Theorem 8 (Plancherel formula).
Let . Then for every , we have
Proof.
Theorem 9 (Inversion formula).
Let . For every such that , we have
Proof.
In the following we establish reproducing inversion formula of Calderón’s type for the Laguerre-Gabor transform .
Theorem 10.
Let such that . Then, for every and , the function given by
belongs to and satisfies
| (11) |
where
4. The extremal function associated with the Laguerre-Gabor transform
In this section, building on the ideas of Saitoh [21, 23] and by utilizing the theory of the Fourier transform , we give the important estimates for the extremal function related to the Laguerre-Gabor transform.
In the next, we will use the integral . This integral is finite if and only if .
Set and , we get
In the following we suppose that . We denote by the Sobolev type space of functions such that . The space provided with inner product
and the norm .
Proposition \theproposition.
Let . Then the function defined by
| (14) |
is a reproducing kernel of the Hilbert space . That is
(i) For every , the function belongs to .
(ii) For every , and , we have the reproducing property,
Proof.
For , the function belongs to . Then for , .
In view of (1), we deduce that the function belongs to . Consequently, the kernel is well defined and we have
By Theorem 2, it follows that the function , belongs to and we have
| (15) |
Invoking (1), we obtain
This proves that for all , .
(ii) Let . By (15), we obtain
This completes the proof of the proposition. ∎
Proposition \theproposition.
Let and . The mapping is a bounded linear operator from into . Moreover, for all ,
Proof.
Let We denote by the inner product defined on the space by
and the space which is a Hilbert space.
Theorem 11.
Let and let . Then for , the Hilbert space has the following reproducing Kernel
| (16) |
that is
(i) For every , the function belongs to .
(ii) For every , and , we have the reproducing property,
Proof.
We conclude that the function is well defined and
| (17) |
By Theorem 2, it follows that the function , belongs to and we have
This shows that for every , the function belongs to .
(ii) Let . By (17), we have
| (18) | ||||
Theorem 12.
Let and let . Then for every and for every , there exists a unique function , where the infimum
| (22) |
is attained. Moreover the extremal function is given by
| (23) |
Proof.
The existence and unicity of the extremal function satisfying relation (22) is given by [13, 15, 22]. On the other hand from Section 4 and Theorem 11, we have
| (24) |
In view of (4), we have
Therefore,
Hence, by Fubibi’s theorem, we get the desired result. ∎
Lemma 13.
Let and let . Then for all and for , we have
(1)
(2)
Proof.
Then, the result follows from the fact
(2) The function
belongs to . Then, by (12), we deduce that the function and
Theorem 14.
Let and let . Then for every , the function belongs to and verifies
Moreover, the family of functions converges uniformly to as .
Proof.
Let . By (12) and (12), we have
On the other hand, , then from the last expression and Eq. 5, we get
| (25) |
Hence,
It arives that
Now, using the fact , dominated convergence theorem and the fact that , we deduce that
On the other hand, in view of (25), we have
Using the fact that and dominated convergence theorem, we get
∎
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