engleski

Overview of mixed means, operator norms of averaging operators and maximal functions, and some new results

We overview the so-called mixed-means inequalities, that is, inequalities for mixed power means for averaging operators which average functions over several scaled families of subsets of $\mathbb{;R};^n$, such as rectangles, balls, spheres and similar. A general case of such inequalities related to rectangles with sides parallel to coordinate hyperplanes and ellipsoids centered at the origin is proved. Motivation for considering these families can be found in considering collection of subsets of $\mathbb{;R};^n$ which differentiate suitable functions on $\mathbb{;R};^n$. Guided by this motivation we distinguish centered and uncentered cases. As a direct consequence of the obtained mixed-means inequalities, the Hardy type inequalities, that is, the operator norms of the averaging operators on $L^p$ spaces are deduced. An interesting and important feature of these norms is that they are lower bounds for operator norms of appropriate maximal functions. Further, they can give asymptotic behavior of the operator norms of maximal functions for large $n$ and fixed $p>1$.

Integral power means; mixed-means inequalities; averaging operators; scaled family of sets; Hardy inequality; maximal functions

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