An Exact Upper Bound on the $L^p$ Lebesgue Constant and The $\infty$-R\'enyi Entropy Power Inequality for Integer Valued Random Variables
Peng Xu, Mokshay Madiman, James Melbourne

TL;DR
This paper establishes a precise asymptotic upper bound for the $L^p$ Lebesgue constant and demonstrates its application to a new $ abla$-Rényi entropy power inequality for integer-valued variables.
Contribution
It provides the first exact asymptotic upper bound for the $L^p$ Lebesgue constant and applies it to derive a novel entropy power inequality for integer-valued random variables.
Findings
Exact asymptotic upper bound for $L^p$ Lebesgue constant for $p \\ge 2$
Verification of a new $ abla$-Rényi entropy power inequality for integer-valued variables
Implications for analysis of Dirichlet kernels and entropy inequalities
Abstract
In this paper, we proved an exact asymptotically sharp upper bound of the Lebesgue Constant (i.e. the norm of Dirichlet kernel) for . As an application, we also verified the implication of a new -R\'enyi entropy power inequality for integer valued random variables.
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Taxonomy
TopicsWireless Communication Security Techniques · Mathematical Approximation and Integration · Advanced Harmonic Analysis Research
