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
- Bingyang Hu
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