End-point estimates, extrapolation for multilinear Muckenhoupt classes, and applications
End-point estimates, extrapolation for multilinear Muckenhoupt classes, and applications
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多线性 Muckenhoupt 类的终点估计、外推以及应用
DOI:
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发表时间:
2019
期刊:
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通讯作者:
Emil Vuorinen
中科院分区:
文献类型:
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作者:
Kangwei Li;J. M. Martell;Henri Martikainen;S. Ombrosi;Emil Vuorinen
In this paper we present the results announced in the recent work by the first, second, and fourth authors of the current paper concerning Rubio de Francia extrapolation for the so-called multilinear Muckenhoupt classes. Here we consider the situations where some of the exponents of the Lebesgue spaces appearing in the hypotheses and/or in the conclusion can be possibly infinity. The scheme we follow is similar, but, in doing that, we need to develop a one-variable end-point off-diagonal extrapolation result. This complements the corresponding "finite" case obtained by Duoandikoetxea, which was one of the main tools in the aforementioned paper. The second goal of this paper is to present some applications. For example, we obtain the full range of mixed-norm estimates for tensor products of bilinear Calderon-Zygmund operators with a proof based on extrapolation and on some estimates with weights in some mixed-norm class. The same occurs with the multilinear Calderon-Zygmund operators, the bilinear Hilbert transform, and the corresponding commutators with BMO functions. Extrapolation along with the already established weighted norm inequalities easily give scalar and vector-valued inequalities with multilinear weights and these include the end-point cases.