From weighted paraboloid restriction to -stars and distance graphs
arXiv:2607.10574
Abstract
In this paper, we study pinned -star distance sets associated to compact subsets of , . For pins , the pinned -star distance set is \[ Δ_{x_1,\dots,x_k}^{k\text{-star}}(E) = \{(|x_1-x|,\dots,|x_k-x|):x\in E\}\subset\mathbb{R}^k. \] We obtain improved Hausdorff-dimension thresholds on guaranteeing that pinned -star distance sets have positive -dimensional Lebesgue measure. The main analytic input is a reformulation of the connection, first observed in \cite{IPPS22}, between -stars in and pinned dot products on the paraboloid in . In our framework, estimates for the densities of pinned -star distance measures are reduced to a weighted Fourier extension estimate for the paraboloid whose weight is defined explicitly in terms of Frostman measures on . For , this yields the threshold \[\dim(E)>α_{+}(n,k):=\frac{n^2+nk+k}{2n+1}=\frac{n+k-1}{2}+\frac14 +\frac{2k+1}{4(2n+1)}.\] Using the graph-building machinery of \cite{BFOPR2026}, our positive-measure results for -stars can be used as building blocks for finite distance graph configurations with prescribed pins. As a consequence, we improve the best-known positive-measure thresholds for pinned -simplices in every dimension and for necklace graphs (cycles) in every dimension . We further prove nonempty interior results for -stars. In the special case , corresponding to the pinned nonempty interior of the distance set , we use a sharper argument to improve the pinned nonempty-interior thresholds of \cite{BFOP2026} in all dimensions .