Uncertainty principles for the linear canonical Dunkl wavelet transform

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Authors: S. Umamaheswari, Sandeep Kumar Verma, Hatem Mejjaoli
Cited by: 0
References: 26

Abstract

In this paper, we explore various uncertainty principles in the framework of the linear canonical Dunkl transform (LCDT) and the linear canonical Dunkl wavelet transform (LCDWT). We establish fundamental uncertainty principles, including the Heisenberg and entropy uncertainty principles, for both transforms. Additionally, by employing Pitt’s inequality, we derive the logarithmic uncertainty principle, further highlighting the fundamental limits of simultaneous localization in the spatial and frequency domains. Furthermore, we develop the Donoho–Stark and local uncertainty principles specifically for the LCDWT, enriching the theoretical understanding of uncertainty in this setting.

Fields of Study & Subjects

Mathematical Analysis and Transform Methods Spectral Theory in Mathematical Physics Numerical methods in inverse problems

Publication details

Journal / source
Asian-European Journal of Mathematics
Volume
19
Issue
12
Publication date
27 February 2026
Language
EN