Some remarks on dimension-free estimates for the discrete Hardy-Littlewood maximal functions
Dariusz Kosz, Mariusz Mirek, Pawe{\l} Plewa, and B{\l}azej Wr\'obel

TL;DR
This paper investigates the relationships and bounds of optimal constants in Hardy-Littlewood maximal functions over convex bodies in both continuous and discrete settings, revealing dimension-dependent and dimension-free estimates.
Contribution
It establishes that discrete maximal function constants do not exceed their continuous counterparts and provides dimension-free bounds for certain discrete maximal operators.
Findings
Optimal constants in $L^p(\,\mathbb{R}^d)$ are not larger than in $\,\ell^p(\,\mathbb{Z}^d)$.
The weak type (1,1) constant for discrete cubes grows with dimension.
Dimension-free estimates are proved for certain ranges of $p$ and scales.
Abstract
Dependencies of the optimal constants in strong and weak type bounds will be studied between maximal functions corresponding to the Hardy--Littlewood averaging operators over convex symmetric bodies acting on and . Firstly, we show, in the full range of , that these optimal constants in are always not larger than their discrete analogues in ; and we also show that the equality holds for the cubes in the case of . This in particular implies that the best constant in the weak type inequality for the discrete Hardy--Littlewood maximal function associated with centered cubes in grows to infinity as , and if it is equal to the largest root of the quadratic equation . Secondly, we prove dimension-free estimates for the norms,…
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Nonlinear Partial Differential Equations · Advanced Mathematical Physics Problems
