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OVERVIEW OF MIXED MEANS, OPERATOR NORMS OF AVERAGING OPERATORS AND MAXIMAL FUNCTIONS, AND SOME NEW RESULTS

机译:混合手段,平均算子的算子范数和最大函数的概述以及一些新结果

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摘要

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 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 R-n which differentiate suitable functions on 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 LP 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.
机译:我们概述了所谓的混合均值不等式,也就是混合幂不等式,用于平均算子,该算子对R-n子集的几个比例子族(例如矩形,球形,球形等)求平均。证明了这样的不等式的一般情况,该不等式与边平行于坐标超平面的矩形和以原点为中心的椭球有关。考虑这些家族的动机可以在考虑R-n的子集的收集中找到,这些子集可以区分R-n上合适的功能。在这种动机的指导下,我们区分了中心案例和非中心案例。作为获得的混合均值不等式的直接结果,推导了Hardy型不等式,即LP空间上平均算子的算子范数。这些规范的一个有趣且重要的特征是它们是适当的最大函数的算子规范的下界。此外,对于较大的n和固定的p> 1,它们可以给出最大函数的算子范数的渐近行为。

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