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arXiv 2210.09443math.CA

矩阵权的外推与分解

Extrapolation and Factorization of matrix weights

Marcin Bownik, David Cruz-Uribe

AI总结:

针对矩阵 $\mathcal A_p$ 权,本文通过建立凸集值函数、可测半范数函数及相应极大算子与迭代算法,证明了 Jones 分解和 Rubio de Francia 外推定理。

摘要:

本文证明了矩阵 $\mathcal A_p$ 权的 Jones 分解定理与 Rubio de Francia 外推定理。这些结果回答了矩阵权研究中长期存在的开放性问题。证明需要发展凸集值函数与可测半范数函数理论。特别地,我们定义了 Hardy–Littlewood 极大算子的凸集值版本,并构造了 Rubio de Francia 迭代算法的适当推广;该算法在标量情形下是证明这两个结果的核心。

英文摘要:

In this paper we prove the Jones factorization theorem and the Rubio de Francia extrapolation theorem for matrix $\mathcal A_p$ weights. These results answer longstanding open questions in the study of matrix weights. The proof requires the development of the theory of convex-set valued functions and measurable seminorm functions. In particular, we define a convex-set valued version of the Hardy Littlewood maximal operator and construct an appropriate generalization of the Rubio de Francia iteration algorithm, which is central to the proof of both results in the scalar case.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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