From weighted paraboloid restriction to k-stars and distance graphs
Abstract
In this paper, we study pinned k-star distance sets associated to compact subsets of Rn, n≥ 2. For pins x1,…,xk∈ E, the pinned k-star distance set is \[ Δx1,…,xkk-star(E) = \(|x1-x|,…,|xk-x|):x∈ E\⊂Rk. \] We obtain improved Hausdorff-dimension thresholds on E guaranteeing that pinned k-star distance sets have positive k-dimensional Lebesgue measure. The main analytic input is a reformulation of the connection, first observed in IPPS22, between k-stars in Rn and pinned dot products on the paraboloid in Rn+1. In our framework, L2(Rk) estimates for the densities of pinned k-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 E. For 1≤ k<n, this yields the threshold \[(E)>α+(n,k):=n2+nk+k2n+1=n+k-12+14 +2k+14(2n+1).\] Using the graph-building machinery of BFOPR2026, our positive-measure results for k-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 k-simplices in every dimension n≥ 3 and for necklace graphs (cycles) in every dimension n≥ 3. We further prove nonempty interior results for k-stars. In the special case k=1, corresponding to the pinned nonempty interior of the distance set Δx(E)=\|x-y| y∈ E\, we use a sharper argument to improve the pinned nonempty-interior thresholds of BFOP2026 in all dimensions n≥ 4.
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