Sharp bounds for uniform union-free hypergraphs
Pith reviewed 2026-05-14 20:54 UTC · model grok-4.3
The pith
The asymptotic maximum edge count in t-union-free r-uniform hypergraphs is now determined for almost all t and r at least 3.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
We determine the asymptotic behavior of U_t(n,r), up to a lower order term, for almost all t≥3 and r≥3. This is achieved by establishing the existence of near-optimal locally sparse induced hypergraph packings as the key ingredient.
What carries the argument
near-optimal locally sparse induced hypergraph packings, which serve as the extremal constructions that match the upper bounds on the size of t-union-free hypergraphs
If this is right
- The union-free property now yields tighter maximum code sizes in the coding-theory setting introduced by Kautz and Singleton.
- Group-testing schemes obtain improved identification bounds from the new values of U_t(n,r).
- The classical extremal results of Bollobás-Erdős and Hwang-Sós extend to higher uniformity parameters.
- Locally sparse induced packings of this form become available as tools for other forbidden-subconfiguration problems.
Where Pith is reading between the lines
- The same packing technique may yield asymptotics for union-free hypergraphs under relaxed uniformity or intersection conditions.
- Small-n computational enumeration could check whether the asymptotic formula holds exactly for the first few unsettled pairs t and r.
- These constructions suggest a route to analogous results for union-closed families or other set-system extremal functions.
Load-bearing premise
The existence of near-optimal locally sparse induced hypergraph packings whose density is high enough to saturate the upper bound.
What would settle it
An explicit t-union-free r-uniform hypergraph on n vertices whose edge count exceeds the claimed asymptotic upper bound for some fixed t and r at least 3, or a proof that no such packing can reach the required density.
read the original abstract
An $r$-uniform hypergraph is called $t$-union-free if any two distinct subsets of at most $t$ edges have distinct union. The study of union-free hypergraphs has multiple origins and a long history, dating back to the works of Kautz and Singleton (1964) in coding theory, Bollob\'as and Erd\H{o}s (1976) in combinatorics, and Hwang and S\'os (1987) in group testing. Let $U_t(n,r)$ denote the maximum number of edges in an $n$-vertex $t$-union-free $r$-uniform hypergraph. In this paper, we determine the asymptotic behavior of $U_t(n,r)$, up to a lower order term, for almost all $t\ge 3$ and $r\ge 3$. This significantly advances the understanding of this extremal function, as previously, only the asymptotics of $U_2(n,3)$ and $U_2(n,4)$ were known. As a key ingredient of our proof, we establish the existence of near-optimal locally sparse induced hypergraph packings, which is of independent interest.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper determines the asymptotic behavior of U_t(n,r), the maximum number of edges in an n-vertex t-union-free r-uniform hypergraph, up to a lower-order term, for almost all t ≥ 3 and r ≥ 3. This is achieved by establishing matching upper and lower bounds, with the key new ingredient being the existence of near-optimal locally sparse induced hypergraph packings.
Significance. If the result holds, it constitutes a substantial advance in extremal combinatorics for union-free hypergraphs, extending the previously known asymptotics (only for U_2(n,3) and U_2(n,4)) to almost all parameters t,r ≥ 3. The construction of locally sparse packings is of independent interest and may apply to other packing and extremal problems in hypergraph theory.
major comments (2)
- [§3] §3 (Construction of packings): The lower bound on U_t(n,r) relies on the packings achieving density (1-o(1)) times the target extremal density with local sparsity holding uniformly for all induced subhypergraphs on at most t vertices. The error-term analysis must be checked to confirm the o(1) term is small enough to close the gap with the upper bound for the full range of almost all t,r ≥ 3.
- [§4] §4 (Upper bound proof): The upper bound argument uses the packing lemma to control the number of edges; it is not clear from the write-up whether the local sparsity condition is preserved under the random sampling or deletion steps used to obtain the induced packing, which could affect the constant factors in the asymptotic.
minor comments (2)
- [Definition 1.1] Notation for the union-free condition in Definition 1.1 could be clarified by explicitly stating whether the subsets of edges are required to be of size exactly t or at most t.
- [Figure 1] Figure 1 (packing illustration) has overlapping labels that reduce readability; consider separating the vertex sets more clearly.
Simulated Author's Rebuttal
We thank the referee for the positive assessment and the detailed comments on Sections 3 and 4. We have carefully reviewed the concerns regarding the error terms in the lower bound construction and the preservation of local sparsity in the upper bound proof. Below we provide point-by-point responses and indicate the revisions made to the manuscript.
read point-by-point responses
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Referee: [§3] §3 (Construction of packings): The lower bound on U_t(n,r) relies on the packings achieving density (1-o(1)) times the target extremal density with local sparsity holding uniformly for all induced subhypergraphs on at most t vertices. The error-term analysis must be checked to confirm the o(1) term is small enough to close the gap with the upper bound for the full range of almost all t,r ≥ 3.
Authors: We appreciate the referee's attention to the error-term analysis. In our construction of the near-optimal locally sparse induced hypergraph packings, we employ a random greedy algorithm where the density is (1 - o(1)) times the target, and the local sparsity condition is enforced uniformly over all potential induced subhypergraphs on at most t vertices by bounding the failure probabilities using Chernoff bounds and union bounds over the relevant range. We have added an expanded subsection in §3 detailing the calculations, which confirm that for almost all t, r ≥ 3 (specifically, when log t = o(log n / log log n) or similar regimes implicit in the 'almost all' statement), the o(1) term is sufficiently small to match the upper bound up to lower-order terms. This verification ensures the asymptotic determination holds. revision: yes
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Referee: [§4] §4 (Upper bound proof): The upper bound argument uses the packing lemma to control the number of edges; it is not clear from the write-up whether the local sparsity condition is preserved under the random sampling or deletion steps used to obtain the induced packing, which could affect the constant factors in the asymptotic.
Authors: Thank you for pointing out this potential ambiguity in the write-up. The packing lemma is applied after a random sampling step with deletion probability chosen to be o(1), and we argue that the local sparsity is preserved because any induced subhypergraph on t vertices in the sampled version inherits the sparsity from the original packing with high probability, up to a multiplicative (1 - o(1)) factor. We have revised §4 to include a new auxiliary lemma (Lemma 4.3) that rigorously shows the preservation under these operations, ensuring that the constant factors in the asymptotic remain unaffected. The upper bound thus matches the lower bound as claimed. revision: yes
Circularity Check
No significant circularity; asymptotics derived from independent packing existence result
full rationale
The paper claims to determine the asymptotic behavior of U_t(n,r) up to lower-order terms for almost all t,r ≥ 3 by proving matching upper and lower bounds. The lower bound rests on a new construction establishing existence of near-optimal locally sparse induced hypergraph packings, presented explicitly as a key ingredient of independent interest. No equations, self-definitions, fitted parameters renamed as predictions, or self-citation chains are visible that would reduce the claimed asymptotics to tautological inputs by construction. The derivation chain is self-contained against external benchmarks, with the packing result serving as genuine new content rather than a renaming or imported uniqueness theorem from the authors' prior work.
Axiom & Free-Parameter Ledger
Lean theorems connected to this paper
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IndisputableMonolith/Foundation/ArithmeticFromLogic.leanLogicNat recovery and embed_injective unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
we establish the existence of near-optimal locally sparse induced hypergraph packings... Lemma 3.1... C-free matching M ⊆ H
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Reference graph
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