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The Multilinear Littlewood–Paley Operators with Minimal Regularity Conditions

  • Mingming Cao*
  • , Kôzô Yabuta
  • *Corresponding author for this work
  • Beijing Normal University
  • Kwansei Gakuin University

Research output: Contribution to journalArticlepeer-review

Abstract

We investigate the quantitative weighted estimates for a large class of the multilinear Littlewood–Paley square operators. Our kernels satisfy the minimal regularity assumption, called Lr-Hörmander condition. We respectively establish the pointwise sparse domination for the multilinear square functions and their iterated commutators. Based on them, we obtain the strong type quantitative bounds and endpoint estimates. We recover lots of known weighted inequalities for Littlewood–Paley operators. Significantly, the approach is dyadic, quite elementary and simpler than that presented previously.

Original languageEnglish
Pages (from-to)1203-1247
Number of pages45
JournalJournal of Fourier Analysis and Applications
Volume25
Issue number3
DOIs
StatePublished - 15 Jun 2019
Externally publishedYes

Keywords

  • Littlewood–Paley functions
  • Multilinear
  • Quantitative weighted estimates
  • Sparse operators

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