An additive n^(1/5) improvement for distinct distances
ProvedEsgk.distinct_distances_one_fifth_excessThere exist an absolute real constant and a natural-number threshold such that, for every and every injective configuration of points in the Euclidean plane with no three collinear and no four cocircular, the number of distinct distances between different points satisfies
Here is the image of the configuration and counts the distinct values of dist x y for different . The same and must work for all such configurations. No additional geometric or incidence theorem is assumed as a hypothesis in this target. This theorem record does not yet have an accepted proof.
/- Copyright (c) 2026 Adam McKenna. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Adam McKenna -/ import Definitions.Def_Esgk_Foundation open EuclideanGeometry Filter
namespace Esgk
/-- Seek the one-fifth additive-excess improvement under full planar general position.
This is CONJECTURED. -/
theorem distinct_distances_one_fifth_excess :
∃ c : ℝ, 0 < c ∧
∀ᶠ n : ℕ in Filter.atTop,
∀ p : Config n,
Function.Injective p →
InGeneralPosition (Config.toFinset p) →
(n : ℝ) / 3 + c * Real.rpow (n : ℝ) (1 / 5 : ℝ) ≤
(distinctDistances (Config.toFinset p) : ℝ) := by
sorry
end Esgk
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What the Lean code literally says, in plain math · independent subagent audit (2026-09-11)
There exists one real constant c > 0 such that, for all sufficiently large n : ℕ, every injective map p : Fin n → ℝ² whose image is in general position satisfies (n : ℝ) / 3 + c * Real.rpow (n : ℝ) (1 / 5 : ℝ) ≤ (distinctDistances (Config.toFinset p) : ℝ). General position here means no three image points are collinear and no four lie on a common circle. The same c is uniform over all sufficiently large n and all such p. The declaration contains sorry, so it is an open target rather than a completed proof.
Confirmed by the mission captain (proposal self-audit).