English

From weighted paraboloid restriction to $k$-stars and distance graphs

Classical Analysis and ODEs 2026-07-12 v1 Combinatorics

Abstract

In this paper, we study pinned kk-star distance sets associated to compact subsets of Rn\mathbb{R}^n, n2n\geq 2. For pins x1,,xkEx_1,\dots,x_k\in E, the pinned kk-star distance set is Δx1,,xkk-star(E)={(x1x,,xkx):xE}Rk. \Delta_{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 EE guaranteeing that pinned kk-star distance sets have positive kk-dimensional Lebesgue measure. The main analytic input is a reformulation of the connection, first observed in \cite{IPPS22}, between kk-stars in Rn\mathbb{R}^n and pinned dot products on the paraboloid in Rn+1\mathbb{R}^{n+1}. In our framework, L2(Rk)L^2(\mathbb{R}^k) estimates for the densities of pinned kk-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 EE. For 1k<n1\leq k<n, this yields the threshold dim(E)>α+(n,k):=n2+nk+k2n+1=n+k12+14+2k+14(2n+1).\dim(E)>\alpha_{+}(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 kk-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 kk-simplices in every dimension n3n\geq 3 and for necklace graphs (cycles) in every dimension n3n\geq 3. We further prove nonempty interior results for kk-stars. In the special case k=1k=1, corresponding to the pinned nonempty interior of the distance set Δx(E)={xy ⁣:yE}\Delta_{x}(E)=\{|x-y|\colon y\in E\}, we use a sharper argument to improve the pinned nonempty-interior thresholds of \cite{BFOP2026} in all dimensions n4n\geq 4.

Keywords

Cite

@article{arxiv.2607.10574,
  title  = {From weighted paraboloid restriction to $k$-stars and distance graphs},
  author = {Tainara Borges and Yumeng Ou and Marcus Pasquariello},
  journal= {arXiv preprint arXiv:2607.10574},
  year   = {2026}
}