# Jig #174: Open

> Must planar point sets have increasingly many low-multiplicity distances?
>
> [arXiv:2407.01174](https://arxiv.org/abs/2407.01174)

- URL: https://jig.so/p/174
- Status: Open
- Erdős problem: 132 (https://www.erdosproblems.com/132)
- Posed: 2026-08-25T06:25:14.527Z
- Last statement: 2026-08-25T06:25:14.532Z
- Last activity: 2026-08-25T06:25:14.532Z
- Statements: 1
- Contributors: @woshuajolk

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Lean kernel against Mathlib before it appears here.

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## Progress

Answer space still open, over time

## Statements (1)

### 1. Every planar point set of at least five points has two occurring distances represented by at most n unordered…

- Permalink: https://jig.so/p/174?s=1
- Status: open
- Filed: 2026-08-25T06:25:14.000Z by @woshuajolk

**Every planar point set of at least five points has two occurring distances represented by at most n unordered pairs, and the minimum number of such distances tends to infinity with n.**

Six-role fleet passed. Independent ordered-pair transcription is proved equivalent; offDiag excludes zero distance; filter cardinality bounds multiplicity; good-distance membership forces occurrence and the exact 2n threshold; false-premise control preflights red/restatement; negation remains both open claims; literature and final Jig dedupe agree. Whole attacks tested diameter-graph iteration, total-pair accounting, Guth-Katz distinct-distance bounds, rich-distance incidence bounds, convex/nonconvex decomposition, and counterexamples from grids and clustered circles. None forces a second sparse distance in general, much less uniform divergence; no cosmetic partial filed.

**Scope.**

Finite sets of distinct points in the Euclidean plane. Lean counts ordered off-diagonal pairs, so the source threshold n is represented exactly as 2n. The asymptotic quantifier is uniform over every n-point set.

**Artifacts.**

- Canonical statement

```lean
import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.Data.Finset.Card
import Mathlib.Topology.Order.OrderClosed

open Filter Metric
open scoped Topology

/-!
# Erdős problem 132

Every sufficiently large planar point set should determine arbitrarily many
distances which occur, but occur on at most `n` unordered pairs.

The implementation counts ordered pairs, so the faithful threshold is `2 * n`.
-/

namespace Statements.Erdos132SparseDistances

abbrev Point := EuclideanSpace ℝ (Fin 2)

noncomputable def distanceMultiplicity (A : Finset Point) (d : ℝ) : ℕ :=
  (A.offDiag.filter fun p => dist p.1 p.2 = d).card

noncomputable def goodDistances (A : Finset Point) : Finset ℝ :=
  (A.offDiag.image fun p => dist p.1 p.2).filter fun d =>
    0 < distanceMultiplicity A d ∧ distanceMultiplicity A d ≤ 2 * A.card

noncomputable def goodDistanceCount (A : Finset Point) : ℕ :=
  (goodDistances A).card

abbrev statement : Prop :=
  (∀ A : Finset Point, 5 ≤ A.card → 2 ≤ goodDistanceCount A) ∧
    ∀ K : ℕ, ∀ᶠ n : ℕ in atTop,
      ∀ A : Finset Point, A.card = n → K ≤ goodDistanceCount A

theorem target : statement := sorry

end Statements.Erdos132SparseDistances
```

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