Falconer's Distance Set Conjecture
Canonical statement
View source LaTeX
Let \(d\geq2\) and let \(E\subset\mathbb R^d\) be compact.
Write \(\dim_{\mathrm H}\) for Hausdorff dimension. If
\[
\dim_{\mathrm H}(E)>\frac d2,
\]
then its distance set
\(\Delta(E)=\{\,\|x-y\|_2:x,y\in E\,\}\) has positive
one-dimensional Lebesgue measure.Notes
Falconer's conjecture is a continuous counterpart of the Erdős-type distance problems. Falconer asked in 1985 whether every compact set , , with Hausdorff dimension greater than must have a distance set of positive one-dimensional Lebesgue measure; he proved that dimension greater than suffices, while lattice-like examples show the threshold cannot be taken below [Falconer1985Distance].
Progress has come mainly from Fourier analysis. Mattila recast the problem in terms of spherical averages of Fourier transforms of energy-finite measures, a framework underlying most subsequent work [Mattila1987SphericalAverages]. Modern harmonic-analytic and incidence methods, including the higher-dimensional improvements of Du, Ou, Ren, and Zhang, have pushed the sufficient dimension strictly below the historical thresholds [DuOuRenZhang2023Falconer].
Despite these advances, no proof reaches the conjectured exponent in every dimension, and the problem remains open; a resolution must close the gap between the best sufficient thresholds currently known and itself.
References (3)
- [Falconer1985Distance]
On the Hausdorff dimensions of distance sets
Open ↗Kenneth J. Falconer · 1985 · misc
- [Mattila1987SphericalAverages]
Spherical averages of Fourier transforms of measures with finite energy; dimension of intersections and distance sets
Open ↗Pertti Mattila · 1987 · misc
- [DuOuRenZhang2023Falconer]
New improvement to Falconer distance set problem in higher dimensions
Open ↗Xiumin Du and Yumeng Ou and Kevin Ren and Ruixiang Zhang · 2023 · misc
The boxed statement is the canonical open formulation — not a stronger variant or a related research program. The status reflects the catalog's last review; do your own literature search before investing serious effort.