Mixed‐norm estimates via the helicoidal method

Author:

Benea Cristina1,Muscalu Camil23

Affiliation:

1. Nantes Université, Laboratoire Jean Leray Nantes France

2. Department of Mathematics Cornell University Ithaca New York USA

3. “Simion Stoilow” Institute of Mathematics of the Romanian Academy Bucharest Romania

Abstract

AbstractWe prove multiple vector‐valued and mixed‐norm estimates for multilinear operators in , more precisely for multilinear operators associated to a symbol singular along a ‐dimensional space and for multilinear variants of the Hardy‐Littlewood maximal function. When the dimension , the input functions are not necessarily in and can instead be elements of mixed‐norm spaces .Such a result has interesting consequences especially when spaces are involved. Among these, we mention mixed‐norm Loomis‐Whitney‐type inequalities for singular integrals, as well as the boundedness of multilinear operators associated to certain rational symbols. We also present examples of operators that are not susceptible to isotropic rescaling, which only satisfy “purely mixed‐norm estimates” and no classical  estimates.Relying on previous estimates implied by the helicoidal method, we also prove (non‐mixed‐norm) estimates for generic singular Brascamp‐Lieb‐type inequalities.

Publisher

Wiley

Reference32 articles.

1. C.Benea Vector‐valued extensions for singular bilinear operators and applications Ph.D. thesis Cornell University 2015.

2. Multiple vector-valued inequalities via the helicoidal method

3. Quasi-Banach valued inequalities via the helicoidal method

4. Sparse domination via the helicoidal method

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