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Shinohara: Uniqueness of maximum planar five-distance sets

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Masashi Shinohara, "Uniqueness of maximum planar five-distance sets," Discrete Mathematics, 308(14), 3048-3055, 2008. https://doi.org/10.1016/j.disc.2007.08.028

Overview

Shinohara studies finite planar sets having exactly a prescribed number of distinct interpoint distances. Writing g(k)g(k) for the maximum cardinality of a planar kk-distance set and identifying configurations up to similarity, the paper addresses the Erdős–Fishburn conjecture that their 12-point five-distance example is the unique maximum five-distance set. The previously known facts g(4)=9g(4)=9, g(5)=12g(5)=12, and the four-distance classification at cardinality nine are quoted as Theorem 1.1 (pp. 3048–3049), not proved here.

The main result is Theorem 1.2 (p. 3049). Part (a) classifies every 8-point four-distance set: it is similar to R8R_8, R7+R_7^+, the configuration in Fig. 1(e), or an 8-point subset of one of the classified 9-point four-distance sets. Part (b) proves that the configuration in Fig. 1(d) is, up to similarity, the only 12-point five-distance set. Together with the cited equality g(5)=12g(5)=12, this establishes the conjectured uniqueness of the maximum example.

The reduction begins with the diameter D=D(X)D=D(X), the set XDX_D of points incident with a diameter pair, and m=∣XD∣m=|X_D| (§2, p. 3049). The cited Lemma 2.1 (p. 3049) says that XDX_D is in convex position when m≥3m\ge3 and that all occurrences of DD can be destroyed by deleting at most ⌈m/2⌉\lceil m/2\rceil points. Lemma 2.2 (p. 3050) collects previously established classifications of convex few-distance sets and of maximal five-, six-, and seven-point three-distance sets. These inputs yield Proposition 2.1 (pp. 3050–3051): an 8-point four-distance set contains either a specified regular-polygon-derived subset or a five-point three-distance set, while a 12-point five-distance set contains an analogous convex subset or an 8-point four-distance set.

The paper's principal structural device is the diameter graph DG(X)DG(X) (§3, p. 3051), whose edges are precisely the diameter pairs. Proposition 3.1 (p. 3051) proves that such a graph has no even cycle of length at least four; if it contains an odd cycle, vertices outside that cycle are mutually nonadjacent and each has at most one neighbor on the cycle. Consequently a planar diameter graph contains at most one cycle. Proposition 3.2 (p. 3051) gives α(DG(X))≥⌈∣X∣/2⌉\alpha(DG(X))\ge\lceil |X|/2\rceil unless DG(X)DG(X) itself is the full cycle. After introducing replaceable vertices in maximum independent sets, Lemma 3.1 (pp. 3051–3052) proves the relevant replacement property for trees, and Proposition 3.3 (p. 3052) transfers it to diameter graphs: if n≥6n\ge6 and α(DG(X))=⌊n/2⌋\alpha(DG(X))=\lfloor n/2\rfloor, some maximum independent set has at least two replaceable vertices. Remark 3.1 (p. 3052) explains the geometric payoff: an independent subset omits the diameter and hence has at most k−1k-1 distances, while two replacements produce another set with at most kk distances.

Lemma 3.2 (p. 3052) applies this machinery to produce, respectively, a five-point independent subset with two replaceable points when XX is an 8-point four-distance set with m≤6m\le6, and an eight-point such subset when XX is a 12-point five-distance set with m≤8m\le8. Proposition 3.4 (pp. 3052–3053) sharpens Proposition 2.1 by ensuring that the resulting smaller few-distance subset is nonmaximal. Its proof uses the previously cited classification of maximal five-point three-distance sets and, in the 12-point case, the new 8-point classification. The printed proof contains two apparent cross-reference slips: “Lemma 3.3” on p. 3053 has no corresponding statement and evidently refers to Lemma 3.2, while “Theorem 1.2(i)” evidently refers to part (a) of Theorem 1.2.

Section 4 (pp. 3053–3054) completes the classification by splitting according to mm. For 8-point four-distance sets, the case m≥7m\ge7 is reduced to extensions of R7R_7, R8−1R_8-1, and R9−2R_9-2; the case m≤6m\le6 uses Proposition 3.4, the classified three-distance sets, elementary extension checks, and, for several cases, the triangular lattice L△L_\triangle. For 12-point five-distance sets, configurations with m≥9m\ge9 are ruled out by extension checks. When m≤8m\le8, Proposition 3.4 and Theorem 1.2(a) reduce the possibilities to extensions of the known four-distance configurations; the only surviving case is the triangular-lattice configuration in Fig. 1(d) (p. 3054). Several final extension exclusions are presented as direct geometric checks rather than as separately numbered lemmas.

Relation to E132

This source bears on Problem 132.

For E132, write

Δ(A)={∥x−y∥:x,y∈A, x≠y},μA(r)=∣{{x,y}⊂A:∥x−y∥=r}∣.\Delta(A)=\{\|x-y\|:x,y\in A,\ x\ne y\},\qquad \mu_A(r)=\bigl|\{\{x,y\}\subset A:\|x-y\|=r\}\bigr|.

Shinohara's A(X)A(X) is Δ(A)\Delta(A), and his diameter graph satisfies

∣E(DG(A))∣=μA(D),D=max⁡Δ(A).|E(DG(A))|=\mu_A(D),\qquad D=\max\Delta(A).

Care is needed with notation: the paper's m=∣AD∣m=|A_D| counts points incident with diameter pairs, not the multiplicity μA(D)\mu_A(D).

Proposition 3.1 (p. 3051) is directly usable for E132. Since DG(A)DG(A) has at most one cycle, it is a forest or a graph with one unicyclic component and otherwise forest components. Hence

1≤μA(D)=∣E(DG(A))∣≤∣A∣=n.1\le \mu_A(D)=|E(DG(A))|\le |A|=n.

Thus the paper's diameter-graph theorem recovers one distance satisfying E132's multiplicity bound (and gives the stronger μA(D)≤n−1\mu_A(D)\le n-1 when the diameter graph is acyclic). This is a deduction from Proposition 3.1, not a multiplicity theorem stated explicitly by Shinohara.

The independent-set machinery suggests a possible entry point for finding a second rare distance. An independent set in DG(A)DG(A) removes the diameter from its induced distance set; Proposition 3.2 (p. 3051) often supplies one of size at least ⌈n/2⌉\lceil n/2\rceil, and Proposition 3.3 plus Remark 3.1 (p. 3052) provide controlled exchanges of its vertices. These tools could support a minimal-counterexample reduction in which one deletes all diameter pairs while retaining many points. They do not, however, control how often any remaining distance occurs in the original set AA: a distance rare inside the independent subset may acquire many additional pairs involving deleted vertices. Consequently they do not furnish E132's required second distance.

Theorem 1.2(b) (p. 3049, proved on p. 3054) is relevant only to the special case n=12n=12 and ∣Δ(A)∣=5|\Delta(A)|=5: it reduces any multiplicity check in that class to the single configuration of Fig. 1(d), up to similarity. The paper does not tabulate the five distance multiplicities, so its uniqueness theorem alone does not prove that this configuration has two distances of multiplicity at most 1212. Nor does the 8-point four-distance classification establish such a bound for arbitrary planar sets.

Finally, the cited bound g(k)≤(k+22)g(k)\le\binom{k+2}{2} in §1 (p. 3048) forces the total number of distinct distances to grow with nn, but says nothing about how many of those distances have multiplicity at most nn. The paper therefore supplies a clean structural proof of the first rare distance and useful few-distance reductions, but proves neither the second rare distance for general AA nor the assertion that the number of rare distances tends to infinity.