Novel Gabor-Type Transform and Weighted Uncertainty Principles
Abstract
:1. Introduction
- -
- To introduce the notion of linear canonical Gabor transform in the Dunkl setting (LCDGT).
- -
- To derive some fundamental properties of the LCDGT, such as orthogonality relation, Young’s and inversion formula.
- -
- To investigate for the LCDGT several versions of the Heisenberg-type uncertainty principle via various techniques, including generalized entropy, the semigroup method of contraction and others.
- -
- To obtain certain concentration uncertainty principles for the LCDGT on sets of finite measure.
2. Linear Canonical Dunkl Transform: Operators and Properties
2.1. Dunkl Transform: Properties, Translation and Convolution
- has a unique holomorphic extension to .
- For all and , we have , and .
- For all and , we have
- admits the following Laplace-type integral representation:
- For any , we have
- Inversion Formula: if is a function such that its Dunkl transform is in , then
- The Dunkl transform is a topological isomorphism from the Schwartz space onto itself. If we take such that
- Plancherel’s Formula: for any ,
- Parseval’s Formula: for any , we have
- For all , we have
- For any , we have
- For all f in , we have
- 1.
- If is non-negative, then we have
- 2.
- For all , , we have
- 1.
- If and then belongs to and
- 2.
- If , then for all and , the function and
- 3.
- If , then if and only if , and in this case, we have
- 4.
- If , then
2.2. Linear Canonical Dunkl Transform
- 1.
- The operator is related to the deformed Laplace operator by
- 2.
- For every
- 3.
- For each , the kernel of the linear canonical Dunkl transform satisfies the following:
- 4.
- For every , we have
- 5.
- For each ,
2.2.1. Particular Cases
- In the case , , coincides with the Fresnel transform associated with the Dunkl transform (see [10]):
- In the case , is reduced to the deformed Laplace operator and coincides with the Dunkl transform (except for a constant unimodular factor ) (see [10]).
- When , coincides with the following integral transform (see [10]):
2.2.2. Linear Canonical Dunkl Transform on ,
- 1.
- For all , we have
- 2.
- For , we have
- 1.
- For every ,
- 2.
- If , then , and we have
- 3.
- The linear canonical Dunkl transform has a unique extension to an isometric isomorphism of . The extension is also denoted by .
- 4.
- For all , we have
- 5.
- For all with
2.3. Generalized Convolution Product Associated with
- 1.
- and
- 2.
- For all we have the product formula
- 3.
- The operator is continuous from into itself, into itself and on . More precisely, if , we haveSimilarly, if , we have
- 4.
- When , for any , we have
- 5.
- For all (resp. ), we have
- 6.
- For all , we have
- 1.
- 2.
- 1.
- If and , then for all ,
- 2.
- If and , then
- 3.
- If , then we have
- 4.
- If , the previous three results are valid without requiring the functions to be radials.
3. The Linear Canonical Dunkl-Gabor Transform
- 1.
- For all , we have
- 2.
- For all , we have
- 1.
- We have for all :
- 2.
- The linear canonical Dunkl-Gabor transform can be written as:
- 3.
- A simple calculation implies that, for any and any ,
4. Heisenberg-Type Uncertainty Principles for the LCDGT
4.1. -Heisenberg-Type Uncertainty Inequalities
4.2. Entropic Uncertainty Inequality
4.3. -Heisenberg’s Uncertainty Principle
5. Pitt and Logarithmic Inequalities for
6. Uncertainty Inequalities for the LCDGT on Subsets of Finite Measures
6.1. Benedicks Uncertainty Principle
6.2. Local-Type Uncertainty Principles
- 1.
- For any , we have
- 2.
- For any , we have
- 1.
- Let ϕ be in . We proceed as in [6], to define the modulation of ϕ by t otherwise, as follow:Subsequently, we define the generalized Gabor transform as follow: For ,It is clear thatThus, by involving Plancherel’s Formula (18), we derive that the two integral transforms are equivalent and then all results proved for are valuables for . Therefore, we reclaim that all results proved in this paper for the LCDGT are valuables for the integral transform by replacing ϕ by to derive analogues results.
- 2.
- If , then all the results in this paper for the LCDGT are true without the assumption that the function φ is radial. It is enough to choose a function φ such that .
7. Conclusions and Perspectives
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
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Ghobber, S.; Mejjaoli, H. Novel Gabor-Type Transform and Weighted Uncertainty Principles. Mathematics 2025, 13, 1109. https://doi.org/10.3390/math13071109
Ghobber S, Mejjaoli H. Novel Gabor-Type Transform and Weighted Uncertainty Principles. Mathematics. 2025; 13(7):1109. https://doi.org/10.3390/math13071109
Chicago/Turabian StyleGhobber, Saifallah, and Hatem Mejjaoli. 2025. "Novel Gabor-Type Transform and Weighted Uncertainty Principles" Mathematics 13, no. 7: 1109. https://doi.org/10.3390/math13071109
APA StyleGhobber, S., & Mejjaoli, H. (2025). Novel Gabor-Type Transform and Weighted Uncertainty Principles. Mathematics, 13(7), 1109. https://doi.org/10.3390/math13071109