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arXiv · 1511.04948

Multiple Vector Valued Inequalities via the Helicoidal Method

Cristina Benea·Camil Muscalu
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Abstract

We develop a new method of proving vector-valued estimates in harmonic analysis, which we like to call "the helicoidal method". As a consequence of it, we are able to give affirmative answers to some questions that have been circulating for some time. In particular, we show that the tensor product $BHT \otimes Π$ between the bilinear Hilbert transform $BHT$ and a paraproduct $Π$ satisfies the same $L^p$ estimates as the $BHT$ itself, solving completely a problem introduced in a paper of Muscalu, Pipher, Tao and Thiele. Then, we prove that for "locally $L^2$ exponents" the corresponding vector valued $\overrightarrow{BHT}$ satisfies (again) the same $L^p$ estimates as the $BHT$ itself. Before the present work there was not even a single example of such exponents. Finally, we prove a bi-parameter Leibniz rule in mixed norm $L^p$ spaces, answering a question of Kenig in nonlinear dispersive PDE.

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Cristina Benea, Camil Muscalu. 2016-09-05. Multiple Vector Valued Inequalities via the Helicoidal Method. https://doi.org/10.2140/apde.2016.9.1931

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