Extrapolation for multilinear Muckenhoupt classes and applications to the bilinear Hilbert transform
Kangwei Li, Jos\'e Mar\'ia Martell, Sheldy Ombrosi

TL;DR
This paper advances the theory of weighted inequalities for multilinear operators, solving a longstanding extrapolation problem and applying it to improve bounds for the bilinear Hilbert transform and related operators.
Contribution
It solves the multivariable Rubio de Francia extrapolation problem for multilinear Muckenhoupt classes and extends results to broader classes and applications.
Findings
Extended weighted inequalities for bilinear Hilbert transform.
Reproved and extended Marcinkiewicz-Zygmund estimates.
Derived new bounds for commutators with BMO functions.
Abstract
In this paper we solve a long standing problem about the multivariable Rubio de Francia extrapolation theorem for the multilinear Muckenhoupt classes , which were extensively studied by Lerner et al. and which are the natural ones for the class of multilinear Calder\'on-Zygmund operators. Furthermore, we go beyond the classes and extrapolate within the classes which appear naturally associated to the weighted norm inequalities for multilinear sparse forms which control fundamental operators such as the bilinear Hilbert transform. We give several applications which can be easily obtained using extrapolation. First, for the bilinear Hilbert transform one can extrapolate from the recent result of Culiuc et al. who considered the Banach range and extend the estimates to the quasi-Banach range. As a direct consequence, we obtain weighted…
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