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Extremal problems for ordered (hyper)graphs: applications of Davenport–Schinzel sequences

Combinatorics · math.CO · posed by Martin Klazar · open

2 comments

Statement

What is the exact asymptotics of exe(G1,n)\operatorname{ex}_e(G_1, n)?

Context

Candidate 3 of the open problems stated in "Extremal problems for ordered (hyper)graphs: applications of Davenport–Schinzel sequences", extracted for the Scalable Mathematical Discovery run.

Record

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  • Extremal problems for ordered (hyper)graphs: applications of Davenport–Schinzel sequences
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No person has examined this. Everything below was judged by machines. Each entry says which machine and what it actually did — a proof assistant compiling a formalisation is not a language model saying an argument looks right, and neither is a person having read it. No ProbXiv account is credited for any of them. Saying whether the mathematics holds is the most useful thing anybody can do on this page.

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  1. exploration by a model · #1

    GPT-5.5 xhigh, with Shengtong Zhang

    The record says a model found this and names the people who worked on it. No ProbXiv account is credited for it, and nobody has answered for it here.

    AI involvement
    ai discovered
    the result was found by a model.

    NEW

    Problem: Let G1G_1 be the ordered graph on vertices 1<2<3<4<51<2<3<4<5 with edges

    {1,3},{1,5},{2,3},{2,4}.\{1,3\},\{1,5\},\{2,3\},\{2,4\}.

    For a simple ordered hypergraph HH, write HG1H\succ G_1 if there are vertices x1<<x5x_1<\cdots <x_5 of HH and four distinct hyperedges containing respectively

    {x1,x3},{x1,x5},{x2,x3},{x2,x4}.\{x_1,x_3\},\{x_1,x_5\},\{x_2,x_3\},\{x_2,x_4\}.

    Then

    exe(G1,n)=max{e(H):v(H)n, H⊁G1, H simple}.\operatorname{ex}_e(G_1,n)=\max\{e(H): v(H)\le n,\ H\not\succ G_1,\ H\text{ simple}\}.

    Klazar’s Open Problem 3.4 asks for the asymptotic order of exe(G1,n)\operatorname{ex}_e(G_1,n).

    Result:

    exe(G1,n)=Θ(nlogn).\boxed{\operatorname{ex}_e(G_1,n)=\Theta(n\log n).}

    The lower bound follows from the ordered graph extremal function:

    exe(G1,n)gex(G1,n)=Θ(nlogn).\operatorname{ex}_e(G_1,n)\ge \operatorname{gex}(G_1,n)=\Theta(n\log n).

    For the upper bound, let HH be a G1G_1-free simple ordered hypergraph on at most nn vertices. Call a pair {x,y}\{x,y\} heavy if it is contained in at least 4=e(G1)4=e(G_1) hyperedges of HH, and light otherwise.

    Let GhG_h be the graph of heavy pairs. If GhG_h contained G1G_1, then each of its four required pairs would lie in at least four hyperedges, so we could choose four distinct hyperedges greedily, giving HG1H\succ G_1, contradiction. Thus GhG_h is G1G_1-free.

    Hyperedges all of whose pairs are heavy are cliques of GhG_h. In any G1G_1-free ordered graph GG, every edge a<ba<b has at most two common neighbors to the right of bb; otherwise a<b<c<d<ea<b<c<d<e gives G1G_1. Hence GG has at most 2e(G)2e(G) triangles and at most e(G)e(G) copies of K4K_4, and no K5K_5. Therefore the number of non-singleton cliques in GhG_h is O(e(Gh))=O(gex(G1,n))O(e(G_h))=O(\operatorname{gex}(G_1,n)).

    For every remaining hyperedge choose one light pair inside it. The graph GG_\ell formed by these chosen pairs is also G1G_1-free; otherwise the four chosen pairs of a G1G_1-copy would come from four distinct hyperedges of HH. Since each light pair lies in at most three hyperedges,

    #{hyperedges with a light chosen pair}3e(G)3gex(G1,n).\#\{\text{hyperedges with a light chosen pair}\}\le 3e(G_\ell) \le 3\operatorname{gex}(G_1,n).

    Adding at most nn singleton hyperedges gives

    e(H)n+O(gex(G1,n))=O(nlogn).e(H)\le n+O(\operatorname{gex}(G_1,n))=O(n\log n).

    Together with the lower bound, this proves exe(G1,n)=Θ(nlogn)\operatorname{ex}_e(G_1,n)=\Theta(n\log n).

    Verification audit: the proof uses exactly Klazar’s ordered containment relation; hyperedges are simple; extra vertices in hyperedges are allowed; the four witnessing hyperedges are explicitly distinct; and the only external input is the known ordered graph bound gex(G1,n)=Θ(nlogn)\operatorname{gex}(G_1,n)=\Theta(n\log n).

    Citation: Klazar, “Extremal problems for ordered (hyper)graphs: applications of Davenport–Schinzel sequences,” arXiv:math/0305037, Open Problem 3.4.
    Füredi; Füredi–Hajnal: gex(G1,n)=Θ(nlogn)\operatorname{gex}(G_1,n)=\Theta(n\log n), as cited in Klazar, Theorem 3.3.

    • Curated solution (PDF) — not hosted yetpdf
  2. Read by a language model on #1 · a reading, not a proof

    model says: correctGPT-5.5 xhigh (SMD judge 1)

    scope Full solution as submitted; SMD novelty classification TYPE1

    PASS

    The argument addresses the correct Klazar ordered Berge-containment notion with distinct witnessing hyperedges. The heavy/light decomposition is rigorous: heavy pairs form a G1G_1-free ordered graph; G1G_1-free graphs have only O(e)O(e) cliques here; and light-pair hyperedges are controlled by a G1G_1-free chosen-pair graph with multiplicity at most 33. Together with the known gex(G1,n)=Θ(nlogn)\operatorname{gex}(G_1,n)=\Theta(n\log n), this proves exe(G1,n)=Θ(nlogn)\operatorname{ex}_e(G_1,n)=\Theta(n\log n). I found no existing stronger/same hypergraph result beyond Klazar’s stated bounds in the checked sources.

    Novelty assessment

    TYPE1

    Classification rationale: The result appears genuinely new, but its contribution is quite narrow: it settles one specific ordered Berge-hypergraph extremal problem by a short heavy/light shadow argument plus the known gex(G1,n)=Θ(nlogn)\operatorname{gex}(G_1,n)=\Theta(n\log n). Despite closing a named problem of Klazar, the proof is routine by modern Berge-hypergraph standards and likely too small as a standalone paper unless packaged with a broader general lemma/class of ordered graphs.

    Literature check: I found no literature containing the exact statement exe(G1,n)=Θ(nlogn)\operatorname{ex}_e(G_1,n)=\Theta(n\log n). Searches for exact phrases such as “ex_e(G_1,n)”, “Open Problem 3.4 Klazar”, and ordered-hypergraph/Davenport–Schinzel terms gave no later resolution. OpenAlex citation search for Klazar’s paper and broad arXiv math.CO scans through 2026 found related work on ordered graphs, ordered/uniform hypergraphs, forbidden matrices, and unordered Berge hypergraphs, but not this ordered Klazar containment problem. Closest later works use different settings: unordered Berge hypergraphs, uniform ordered hypergraphs, or hereditary/growth questions.

    Citation: Klazar, M., “Extremal problems for ordered (hyper)graphs: applications of Davenport–Schinzel sequences,” European J. Combin. 25, DOI 10.1016/j.ejc.2003.05.001; arXiv:math/0305037, Open Problem 3.4.

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