Research notes on every problem, and a library of the papers behind them. Built from the open erdos repository.
Updated
Shinohara: Uniqueness of maximum planar five-distance sets
proposition_3_1: In the graph joining the pairs of a finite planar set at its diameter, there is no even cycle of length at least four, vertices off an odd cycle are pairwise nonadjacent and each meets the cycle at most once, so the graph has at most one cycle.
theorem_1_1: The results of Erdős and Fishburn that Shinohara quotes as his starting point: a planar four-distance set has at most nine points, the nine-point ones are classified, and a planar five-distance set has at most twelve points, with a twelve-point example.
theorem_1_2: Shinohara's main theorem: every 8-point planar four-distance set is similar to one of a short list of configurations, and the 12-point triangular-lattice configuration of Erdős and Fishburn is, up to similarity, the only 12-point planar five-distance set.
The copy read for this card is the journal edition, which prints "0012-365X/$ - see front matter © 2007 Elsevier B.V. All rights reserved." on its first page, every other right reserved.
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
Read status: claims checked. Theorems 1.1 and 1.2 and Proposition 3.1 were read clause by clause on the page images; the proofs of Theorem 1.2 and Proposition 3.4 (Sections 3 and 4) were read for structure but not checked.
Result pages: Theorem 1.1 (quoted from Erdős and Fishburn), Theorem 1.2 and Proposition 3.1.
Overview
Shinohara studies finite planar sets having exactly a prescribed number of distinct interpoint distances. Writing for the maximum cardinality of a planar -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 , , and the four-distance classification at cardinality nine are quoted as Theorem 1.1 (p. 3048, its configurations drawn in Fig. 1 on p. 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 , , 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 , this establishes the conjectured uniqueness of the maximum example.
The reduction begins with the diameter , the set of points incident with a diameter pair, and (§2, p. 3049). The cited Lemma 2.1 (p. 3049) says that is in convex position when and that all occurrences of can be destroyed by deleting at most 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 (§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 unless 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 and , 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 distances, while two replacements produce another set with at most distances.
Lemma 3.2 (p. 3052) applies this machinery to produce, respectively, a five-point independent subset with two replaceable points when is an 8-point four-distance set with , and an eight-point such subset when is a 12-point five-distance set with . 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 . For 8-point four-distance sets, the case is reduced to extensions of , , and ; the case uses Proposition 3.4, the classified three-distance sets, elementary extension checks, and, for several cases, the triangular lattice . For 12-point five-distance sets, configurations with are ruled out by extension checks. When , 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
Shinohara's is , and his diameter graph satisfies
Care is needed with notation: the paper's counts points incident with diameter pairs, not the multiplicity .
The bound is the Hopf–Pannwitz theorem, which the Problem 132 page cites; Proposition 3.1 (p. 3051) is a structural statement about diameter graphs. The paper does not address a second rare distance.
Theorem 1.2(b) (p. 3049, proved on p. 3054) is relevant only to the special case and : 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 . Nor does the 8-point four-distance classification establish such a bound for arbitrary planar sets.
Finally, the cited bound in §1 (p. 3048) forces the total number of distinct distances to grow with , but says nothing about how many of those distances have multiplicity at most .
Bears on. #132: Proposition 3.1 yields, by the deduction above, that the diameter occurs between at most pairs, one distance of the kind the problem asks for, not two; Theorem 1.2(b) reduces twelve points with exactly five distances to one configuration up to similarity without counting its multiplicities, and Theorem 1.2(a) is the classification of 8-point four-distance sets that claimed proofs of the case invoke; the paper decides no case of the problem. #1082: the paper says nothing about collinear points; since no planar set with at most four distances has more than nine points (p. 3048 and Theorem 1.1(a)), Theorem 1.2(b) implies that twelve points with no three on a line determine at least six distances, the problem's first question for only, a deduction the corpus draws and the paper does not state.
No file of this source is held: no license on record permits its redistribution, and the card cites the edition it names above.