August 25, 2025MathematicsOpen Access

Uncertainty Inequalities for the Linear Canonical Dunkl Transform

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Uncertainty inequalities for the linear canonical dunkl transform show multiple types of relations, including sharp Heisenberg-type and entropic-type principles.
The study highlights key uncertainty inequalities, with specific emphasis on logarithmic-type and local-type principles, providing depth in the analysis.
This analysis utilizes mathematical techniques to establish sharp inequalities within the framework of the linear canonical dunkl transform.
These findings may enable new pathways of research and applications in mathematical analysis and signal processing.

Implication

This paper demonstrates uncertainty inequalities for the linear canonical dunkl transform, indicating foundational principles.

Abstract

The aim of this paper is to show some uncertainty inequalities for the linear canonical Dunkl transform (LCDT), including sharp Heisenberg-type, entropic-type, logarithmic-type, Donoho–Stark-type and local-type uncertainty principles.

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Cite This Study

Ghobber et al. (2025) studied this question.

synapsesocial.com/papers/68af6210ad7bf08b1eae351d https://doi.org/10.3390/math13172729

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Implication

This paper demonstrates uncertainty inequalities for the linear canonical dunkl transform, indicating foundational principles.

Uncertainty Inequalities for the Linear Canonical Dunkl Transform

Key Points

Implication

Abstract

Discussion

Cite This Study

Uncertainty Inequalities for the Linear Canonical Dunkl Transform

Key Points

Implication

Abstract

Discussion

Cite This Study

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