On Generalized Stam Inequalities and Fisher-R\'enyi Complexity Measures
Steeve Zozor, David Puertas-Centeno, Jes\'us S. Dehesa

TL;DR
This paper introduces a new three-parameter Fisher-Rényi complexity measure that generalizes Stam inequalities, providing bounds and explicit distributions, and applies it to quantum systems like harmonic and hydrogenic states.
Contribution
It proposes a novel three-parametric Fisher-Rényi complexity measure with invariance and bounding properties, extending Stam inequalities and identifying the minimizing distributions.
Findings
Derived the sharp lower bound of the complexity measure.
Identified the $(p,eta, heta)$-Gaussian distribution as the minimizer.
Applied the measure to quantum states of harmonic and hydrogenic systems.
Abstract
Information-theoretic inequalities play a fundamental role in numerous scientific and technological areas as they generally express the impossibility to have a complete description of a system via a finite number of information measures. In particular, they gave rise to the design of various quantifiers (statistical complexity measures) of the internal complexity of a (quantum) system. In this paper, we introduce a three-parametric Fisher-R\'enyi complexity, named -Fisher--R\'enyi complexity. This complexity measure quantifies the combined balance of the spreading and the gradient contents of , and has the three main properties of a statistical complexity: the invariance under translation and scaling transformations, and a universal bounding from below. The latter is proved by generalizing the Stam inequality, which lowerbounds the product of the Shannon entropy…
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