Sparse domination and an extended $L^p$ range for the trilinear Hilbert transform

We establish sparse bounds for the trilinear Hilbert transform $$ T(f_1,f_2,f_3)(x):=\textrm{p.v.}\int_{\mathbb R} f_1(x-t)f_2(x-2t)f_3(x-3t)\,\frac{dt}{t}, $$ with averaging exponents arbitrarily close to $2$ from above. As a consequence, we extend OpenAI's $L^3\times L^3\times L^3\to L^1$ bound (entry 086 in the OpenAI Research Catalog) to $L^{p_1}\times L^{p_2}\times L^{p_3}\to L^r$ throughout the range $$ 2

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-29
DOI
https://doi.org/10.48550/arxiv.2610.39096
Primary Topic
Advanced Harmonic Analysis Research
Type
preprint
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preprint

Sparse domination and an extended $L^p$ range for the trilinear Hilbert transform

Bingyang Hu
arXiv (Cornell University)
Advanced Harmonic Analysis Research
preprint

Sparse domination and an extended $L^p$ range for the trilinear Hilbert transform

Bingyang Hu
preprint en

Abstract

We establish sparse bounds for the trilinear Hilbert transform $$ T(f_1,f_2,f_3)(x):=\textrm{p.v.}\int_{\mathbb R} f_1(x-t)f_2(x-2t)f_3(x-3t)\,\frac{dt}{t}, $$ with averaging exponents arbitrarily close to $2$ from above. As a consequence, we extend OpenAI's $L^3\times L^3\times L^3\to L^1$ bound (entry 086 in the OpenAI Research Catalog) to $L^{p_1}\times L^{p_2}\times L^{p_3}\to L^r$ throughout the range $$ 2

arXiv (Cornell University)
Advanced Harmonic Analysis Research
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Sparse domination and an extended $L^p$ range for the trilinear Hilbert transform — Bingyang Hu · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS