矩阵权重的网格方法

Zoe Nieraeth
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引用次数: 0

摘要

在本文中,我们在巴拿赫网格的集合中重新构建了矩阵权重理论。我们定义了方向性巴拿赫函数空间的内在概念,概括了矩阵加权勒贝格空间。此外,我们基于凸集值最大算子的有界性,证明了这些空间的外推法定理。我们还提供了与凸体稀疏算子相关的边界和等价性。最后,我们介绍了定向巴拿赫函数空间的弱类型。特别是,我们证明了在矩阵加权的 Lebesgue 空间上,凸集值最大算子的弱型有界性等价于矩阵 Muckenhoupt 条件,并具有等价常数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A lattice approach to matrix weights
In this paper we recontextualize the theory of matrix weights within the setting of Banach lattices. We define an intrinsic notion of directional Banach function spaces, generalizing matrix weighted Lebesgue spaces. Moreover, we prove an extrapolation theorem for these spaces based on the boundedness of the convex-set valued maximal operator. We also provide bounds and equivalences related to the convex body sparse operator. Finally, we introduce a weak-type analogue of directional Banach function spaces. In particular, we show that the weak-type boundedness of the convex-set valued maximal operator on matrix weighted Lebesgue spaces is equivalent to the matrix Muckenhoupt condition, with equivalent constants.
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