New curved Kakeya estimates
Arian Nadjimzadah
TL;DR
This work advances curved Kakeya estimates in $\mathbb{R}^3$ by marrying Wolff’s hairbrush method with a novel incidence bound for 3-parameter curve families that satisfy coniness and twistiness. By analyzing translation-invariant, negatively curved phase functions in normal form and leveraging a refined 3-parameter Kakeya framework, the author proves a new lower bound for Kakeya-type sets: $d_{\mathrm{set}}(\phi) \geq \frac{13-\sqrt{13}}{4} \approx 2.348$, surpassing the previous $2+\tfrac{1}{3}$ barrier in many curved settings. A model class $\phi_A$ is studied to relate Kakeya compression to the exponent via $d_{\max}(\phi_A) \leq 2+\tfrac{1}{m(A)}$, while a comprehensive treatment of 3-parameter families introduces notions of coniness and twistiness, grain structure, and prism decompositions. The results connect curved Kakeya to nonlinear restricted projections, yielding corollaries for dimension bounds of nonlinear projections and offering a flexible framework that generalizes KWZ in the curved, variable-coefficient regime. Overall, the paper provides a robust incidence-based approach for curved Kakeya in 3D, opening pathways to sharper bounds and broader applications in harmonic analysis and nonlinear projection problems.
Abstract
We give new lower bounds for the Hausdorff dimension of Kakeya sets built from various families of curves in $\mathbb R^3$, going beyond what the polynomial partitioning method has so-far achieved. We do this by combining Wolff's classical hairbrush argument with a new incidence bound for 3-parameter families of curves which satisfy conditions we call coniness and twistiness. Our main argument builds off a technique of Katz, Wu, and Zahl used in the study of $\rm{SL}_2$-Kakeya sets.
