A Mixed-Entropic Uncertainty Relation
Kamal Bhattacharyya, Karabi Halder

TL;DR
This paper introduces a new uncertainty relation combining Shannon and Fisher information measures, offering advantages such as no need for Fourier transforms and increased sensitivity in position-momentum analysis.
Contribution
It proposes a mixed-entropic uncertainty relation that enhances traditional formulations by integrating Shannon and Fisher measures without Fourier transforms.
Findings
Provides a more sensitive uncertainty relation
Eliminates the need for Fourier transformation
Highlights advantages of combined Shannon and Fisher measures
Abstract
We highlight the advantages of using simultaneously the Shannon and Fisher information measures in providing a useful form of the uncertainty relation for the position-momentum case. It does not require any Fourier transformation. The sensitivity is also noteworthy.
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Taxonomy
TopicsProbabilistic and Robust Engineering Design · Scientific Measurement and Uncertainty Evaluation
