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Fefferman multiplier theorem for Hardy martingales

Probability 2025-09-10 v1 Functional Analysis

Abstract

A well-known theorem due to Fefferman provides a characterization of Fourier multipliers from H1(T)H^1(\mathbb{T}) to 1\ell^1, i.e. sequences (λn)n=0\left(\lambda_n\right)_{n=0}^\infty such that n=0λnf^(n)fL1(T),\sum_{n=0}^\infty \left|\lambda_n \widehat{f}(n)\right|\lesssim \|f\|_{L^1(\mathbb{T})}, where f(x)=n=0f^(n)einxf(x)=\sum_{n=0}^\infty \widehat{f}(n)e^{inx}. We extend it to the space H1(TN)H^1\left(\mathbb{T}^\mathbb{N}\right) of Hardy martingales, i.e. the subspace of L1L^1 on the countable product TN\mathbb{T}^\mathbb{N} consisting of all ff such that the differences Δnf=fnfn1\Delta_nf=f_{n}-f_{n-1} of the martingale wrt the standard filtration generated by ff satisfy (tΔnf(x1,,xn1,t))H1(T).\left(t\mapsto \Delta_n f\left(x_1,\ldots,x_{n-1},t\right)\right)\in H^1(\mathbb{T}). The key ingredient is a theorem due to P. F. X. M\"uller stating that the classical Davis-Garsia decomposition E(n=0Δnf2)12inff=g+hEn=0Δng+E(n=0E(Δnf2Fn1))12\mathbb{E} \left(\sum_{n=0}^\infty \left|\Delta_n f\right|^2\right)^\frac{1}{2}\simeq \inf_{f=g+h} \mathbb{E}\sum_{n=0}^\infty \left|\Delta_n g\right|+ \mathbb{E}\left(\sum_{n=0}^\infty \mathbb{E}\left(\left|\Delta_n f\right|^2\mid \mathcal{F}_{n-1}\right)\right)^\frac{1}{2} may be done within the space of Hardy martingales.

Keywords

Cite

@article{arxiv.2509.07616,
  title  = {Fefferman multiplier theorem for Hardy martingales},
  author = {Maciej Rzeszut},
  journal= {arXiv preprint arXiv:2509.07616},
  year   = {2025}
}
R2 v1 2026-07-01T05:28:11.943Z