A new of looking at distributional estimates; applications for the bilinear Hilbert transform.

Dimitriy Bilyk; Loukas Grafakos

Collectanea Mathematica (2006)

  • Volume: 57, Issue: Extra, page 141-169
  • ISSN: 0010-0757

Abstract

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Distributional estimates for the Carleson operator acting on characteristic functions of measurable sets of finite measure were obtained by Hunt. In this article we describe a simple method that yields such estimates for general operators acting on one or more functions. As an application we discuss how distributional estimates are obtained for the linear and bilinear Hilbert transform. These distributional estimates show that the square root of the bilinear Hilbert transform is exponentially lntegrable over compact sets. They also provide restricted type endpoint results on products of Lebesgue spaces where one exponent is 1 or the sum of the reciprocal of the exponents is 3/2. The proof of the distributional estimates for the bilinear Hilbert transform rely on an improved energy estimate for characteristic functions with respect to sets of tiles from which appropriate exceptional subsets have been removed.

How to cite

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Bilyk, Dimitriy, and Grafakos, Loukas. "A new of looking at distributional estimates; applications for the bilinear Hilbert transform.." Collectanea Mathematica 57.Extra (2006): 141-169. <http://eudml.org/doc/41787>.

@article{Bilyk2006,
abstract = {Distributional estimates for the Carleson operator acting on characteristic functions of measurable sets of finite measure were obtained by Hunt. In this article we describe a simple method that yields such estimates for general operators acting on one or more functions. As an application we discuss how distributional estimates are obtained for the linear and bilinear Hilbert transform. These distributional estimates show that the square root of the bilinear Hilbert transform is exponentially lntegrable over compact sets. They also provide restricted type endpoint results on products of Lebesgue spaces where one exponent is 1 or the sum of the reciprocal of the exponents is 3/2. The proof of the distributional estimates for the bilinear Hilbert transform rely on an improved energy estimate for characteristic functions with respect to sets of tiles from which appropriate exceptional subsets have been removed.},
author = {Bilyk, Dimitriy, Grafakos, Loukas},
journal = {Collectanea Mathematica},
keywords = {Análisis de Fourier; Operadores multilineales; Transformada de Hilbert; bilinear Hilbert transform; distributional inequality; restricted weak-type inequality},
language = {eng},
number = {Extra},
pages = {141-169},
title = {A new of looking at distributional estimates; applications for the bilinear Hilbert transform.},
url = {http://eudml.org/doc/41787},
volume = {57},
year = {2006},
}

TY - JOUR
AU - Bilyk, Dimitriy
AU - Grafakos, Loukas
TI - A new of looking at distributional estimates; applications for the bilinear Hilbert transform.
JO - Collectanea Mathematica
PY - 2006
VL - 57
IS - Extra
SP - 141
EP - 169
AB - Distributional estimates for the Carleson operator acting on characteristic functions of measurable sets of finite measure were obtained by Hunt. In this article we describe a simple method that yields such estimates for general operators acting on one or more functions. As an application we discuss how distributional estimates are obtained for the linear and bilinear Hilbert transform. These distributional estimates show that the square root of the bilinear Hilbert transform is exponentially lntegrable over compact sets. They also provide restricted type endpoint results on products of Lebesgue spaces where one exponent is 1 or the sum of the reciprocal of the exponents is 3/2. The proof of the distributional estimates for the bilinear Hilbert transform rely on an improved energy estimate for characteristic functions with respect to sets of tiles from which appropriate exceptional subsets have been removed.
LA - eng
KW - Análisis de Fourier; Operadores multilineales; Transformada de Hilbert; bilinear Hilbert transform; distributional inequality; restricted weak-type inequality
UR - http://eudml.org/doc/41787
ER -

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