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Embedding loose trees in $k$-uniform hypergraphs

T0 review · 2 major / 5 minor · reviewed 2026-08-08 · deepseek-v4-flash

Pith's one-line read Every large k-uniform hypergraph with minimum relative (k−2)-degree above 1/2 contains every bounded-degree spanning loose tree.

desk verdict Genuine advance on loose-tree embedding thresholds for k>=4, but Lemma 6.4 has a dimensionally wrong counting bound that must be fixed before the absorption step is complete. read the letter →

arxiv 2502.04783 v1 pith:QKJ2BTIG submitted 2025-02-07 math.CO

classification math.CO MSC 05C6505C0505C7005D40
keywords loosehypertreesspanningtreesminimumdegreethresholdshypergraphregularitylemmaabsorptionmethodfractionalmatchingsreachabilityrotatability
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper proves that for every $k \ge 4$, the minimum $(k-2)$-degree threshold for embedding every bounded-degree spanning loose tree in a $k$-uniform hypergraph is asymptotically $1/2$. This matches the perfect-matching threshold, confirming a conjecture that came out of the known $k=3$ case. The result extends the classical graph tree-embedding theorem — minimum degree about $n/2$ forces every bounded-degree spanning tree — from graphs to loose hypertrees, which are linear hypergraphs built by adding one edge at a time that shares a single vertex with an earlier edge. If correct, any sufficiently large $k$-graph with relative $(k-2)$-degree just above $1/2$ contains every spanning loose tree of bounded vertex degree, and no smaller constant can guarantee this.

What carries the argument

The proof is organized around a robust framework for the reduced graph obtained from the weak hypergraph regularity lemma. A $k$-graph is $\eta$-robust when (R1) every near-total vertex weighting admits a perfect fractional matching, (R2) its edges admit an enumeration in which each later edge is $C$-reachable from every earlier edge — meaning any rooted loose tree has a homomorphism with almost all vertices landing in that later edge — and (R3) every edge is $C$-rotatable, meaning the colour classes of any rooted loose tree can be permuted onto the $k$ vertices of the edge. The authors construct a spanning subgraph $G^*$ from the largest component of the link graph of each $(k-2)$-set, prove that $G^*$ is $\eta$-robust, and then use the regularity lemma to convert homomorphisms of arbitrary loose trees into true embeddings.

What would settle it

Count the objects in Lemma 6.4 directly for a fixed ordered tuple $(w_1,\dots,w_k)$: each absorber is determined by choosing roughly $(k-1)^2\Delta+k-1$ vertices from appropriate link graphs, so the number of choices has order $n^{(k-1)^2\Delta+k-1}$, not the displayed $\binom{\gamma n/k}{2}^{((k-1)\Delta+1)(k-1)}$. A reader who shows that this discrepancy cannot be repaired by the random-sampling step has a concrete refutation of the proof's absorption lemma, independent of whether Theorem 1.4 itself is true.

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Extended reading notes

Core claim

The paper's central claim is Theorem 1.4: for all $k \ge 4$, the loose-tree embedding threshold equals the perfect-matching threshold, $\delta^T_{k,k-2} = 1/2 = \delta^{PM}_{k,k-2}$. Concretely, for every $\gamma > 0$ and $\Delta$, there is an $n_0$ such that any $k$-graph $G$ on $n \ge n_0$ vertices with $n \equiv 1 \pmod{k-1}$ and minimum $(k-2)$-degree at least $(1/2+\gamma)\binom{n}{k-2}$ contains every spanning $k$-loose tree $T$ with maximum vertex degree at most $\Delta$. The matching lower bound comes from splitting the vertex set into two dense halves with no edges between them: such a host blocks both perfect matchings and loose trees. A spanning $k$-loose tree is a linear hypergraph obtained by repeatedly adding one edge that meets a previous edge in exactly one vertex, so the family includes loose paths and the binary loose trees whose even-depth versions contain perfect matchings.

Load-bearing premise

The proof rests on the count of small star-shaped absorber configurations in Lemma 6.4: for every fixed $k$-tuple of vertices, at least a certain polynomial number of disjoint absorbers must exist whenever the minimum vertex degree is above $1/2+\gamma$. If that count is wrong, the absorption step, and with it the proof of Theorem 4.6, collapses.

Editorial extensions

If this is right

  • For every fixed $\Delta$, every sufficiently large $k$-graph with minimum $(k-2)$-degree above $(1/2+\gamma)$ is $\Delta$-loose-tree-universal: it contains all spanning loose trees of maximum vertex degree at most $\Delta$.
  • The threshold is asymptotically tight, so no constant below $1/2$ can have the same universality property in this degree setting.
  • The conjecture that the loose-tree threshold equals the perfect-matching threshold is now verified for the parameter pairs $(k,k-1)$, $(3,1)$, and $(k,k-2)$ with $k\ge 4$.
  • The robust framework gives a reusable sufficient condition: a reduced graph with perfect fractional matching, reachability, and rotatability embeds almost-spanning bounded-degree loose trees.
  • Tree-universality holds at densities below those needed for tight Hamilton cycles (reported as $5/9$ for these parameters), so this proof does not rely on a Hamilton cycle.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • Editorial inference: the robust framework suggests a path to the remaining cases of the loose-tree-equals-perfect-matching conjecture; one would need to build $\eta$-robust subgraphs at the matching threshold for other pairs $(k,\ell)$ without passing through a tight Hamilton cycle.
  • Editorial inference: the proof pins the root of the tree to a vertex in the first edge of the reachability ordering, and the authors ask whether any prescribed root can be used; a positive answer would require making the reachability property symmetric in a suitable sense.
  • Editorial inference: in linear hypergraphs, where perfect matchings may fail, the almost-spanning analogue (Problem 11.4) is the natural test bed; one might expect the threshold to differ from the spanning case exactly because the binary loose tree's perfect matching is no longer available.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

2 major / 5 minor

Summary. The paper studies the minimum (k−2)-degree threshold for embedding bounded-degree spanning loose trees in k-uniform hypergraphs. It introduces a general 'robust framework' (fractional matching, reachability, rotatability) and proves a sufficient condition (Theorem 4.6) for embedding almost spanning and, with an absorption step, spanning loose trees. The main result (Theorem 1.4) states that for all k≥4 the threshold is δ^T_{k,k−2}=1/2, matching the perfect-matching threshold. The proof combines a weak hypergraph regularity lemma, an absorption lemma for loose trees, and a structural analysis of a subgraph G* built from largest link components.

Significance. If the proof can be repaired, this is a substantial contribution: it confirms Conjecture 1.3 for the whole family (k,k−2) with k≥4, generalizes Pehova–Petrova's k=3 result in a new codegree range, and avoids the tight Hamilton cycle route, which is known to fail at this threshold. The proposed robust framework is a plausible reusable tool for loose-tree universality, and the paper is explicit about the precise modular divisibility condition n≡1 mod k−1. The main theorem is asymptotically tight via the binary loose tree example. The proof is long and detailed, and the paper contains no fitted parameters or circular dependencies; the main caveat is that several displayed inequalities and definition directions need correction before the argument is formally sound.

major comments (2)
  1. [§6.1, Lemma 6.4] The displayed lower bound |A_Δ(w1,…,wk,F)| ≥ binom(γn/k,2)^{((k−1)Δ+1)(k−1)} is dimensionally impossible. For a fixed ordered tuple, an absorbing tuple is specified by an edge w1v2…vk (Θ(n^{k−1}) choices) and, for each j∈[2,k], Δ disjoint (k−1)-sets in the common neighbourhood of wj and vj (Θ(n^{Δ(k−1)}) choices per j), giving order n^{(k−1)^2Δ+k−1}. The displayed base binom(γn/k,2) has order n^2, so the right-hand side has order n^{2(k−1)^2Δ+2(k−1)}, which exceeds the paper's own upper bound |A_Δ(F)| ≤ n^{(k−1)^2Δ+(k−1)} two lines later. The inequality is therefore false as written. The subsequent random-sampling step with p = c n^{−(k−1)^2Δ−(k−2)} indicates the correct bound should be of the form binom(γn/k,k−1)^{(k−1)Δ+1} (up to constants); this must be corrected because Lemma 6.4 supplies the quantitative input for the absorption step in Theorem 4.6.
  2. [§2.3, Definition 2.3(P3); used in §2.3, §8, §9] The direction of condition (P3) appears inconsistent with its use throughout the paper. As printed, (P3) says each (j−1)-edge of ∂_{j−1}(G) has relative degree less than α in ∂j(G), which would imply that almost all vertices are isolated in the link graphs ∂2(A_i). However, Proposition 2.4(L2), Corollary 9.15, and the induction in Lemma 8.1 all require the opposite: at most αn isolated vertices in ∂2(A_i), i.e., each relevant (j−1)-set should have relative degree at least 1−α in ∂j(G). In particular, the proof of Lemma 8.1 writes |I_S|≤αn and uses the total weight of the non-isolated vertices to be at least m−αn; under the printed (P3), the non-isolated set has size at most αn, so the hypothesis of Proposition 8.6 cannot be met. This is load-bearing for property (R1) of the robust framework; the intended inequality is presumably 'greater than 1−α' (or 'at least 1−α'), and the manuscript should be corrected consistently in Definition 2.3, Proposition 2.4, Lemma 8.1, and Section 9.3.
minor comments (5)
  1. [§10.4, Claim 10.14] The sentence 'Hence xu2u3y4 is [n^4,∗,(13)]-rotatable by Proposition (vi) with π=(132)' appears to compute the conjugate incorrectly: conjugating (23) by the permutation sending (u2,u3,x,y4) to (x,u2,u3,y4) gives (12), not (13). Since {(12),(23),(34)} also generates S4, this is locally fixable, but the displayed transposition should be corrected or the argument adjusted.
  2. [§10.3, Lemma 10.10 proof] In the proof of Claim 10.11, the sentence 'By Proposition 10.3, there exists a tight walk W...' should refer to Proposition 10.5, not Proposition 10.3.
  3. [§9.2, Proposition 9.5] Proposition 9.5 says |K_A|≥(1/2−α)n 'so (A3) holds', but Definition 9.2(A3) requires |V(K_A)|≥(1/2+3α)n. The stronger bound |V(K_A)|>(1/2+γ)n follows from Lemma 8.4(M1) applied to the link graph, so the proof should cite that instead of the weaker (and insufficient) inequality.
  4. [§3.1 and throughout] There are several typographical slips that should be cleaned up, e.g., 'Marjory of our paper' in the first paragraph of §3.1, the notation 'δ^T_{k,ℓ}' being introduced twice, and the sentence in Lemma 6.5's footnote where 'γ1' should be 'γ'. These do not affect the mathematics.
  5. [§8, Lemma 8.4] In the proof of Lemma 8.4(M4), the final chain of inequalities is correct but compressed; adding the intermediate step involving the definition of x1,x2,x3 would improve readability.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: the embedding threshold is derived from stated assumptions through an explicit robust framework, with no fitted inputs and no load-bearing self-citations.

full rationale

The derivation of Theorem 1.4 does not reduce to its own inputs. The robust framework (Definitions 4.1–4.5) is an explicit set of sufficient conditions; Theorem 4.6 proves sufficiency via a regularity-lemma embedding argument, and Lemma 7.3 verifies that the constructed subgraph G* satisfies the three robust properties in Sections 8–10. None of these steps is defined in terms of the desired embedding threshold, and none fits a parameter to a subset of the target data and then predicts it. External results, including Komlós–Sárközy–Szemerédi, Pikhurko, and Pehova–Petrova, are used as benchmarks or independent ingredients; the authors do not rely on their own prior work in a load-bearing way. The one flagged issue is a non-circular quantitative estimate in Lemma 6.4: the displayed lower bound |A_Δ(w1,...,wk,F)| ≥ binom(γn/k, 2)^{((k−1)Δ+1)(k−1)} has the wrong polynomial order when compared with the paper's own later total upper bound |A_Δ(F)| ≤ n^{(k−1)^2Δ+(k−1)}, so the inequality appears false as written. That is a correctness or typographical concern for the absorption step, not a circularity: the absorbing-tuple construction is not defined in terms of the conclusion, and the estimate is not a fitted parameter renamed as a prediction. Hence no circular step is identified.

Assumptions & free parameters 0 free parameters · 6 assumptions · 0 invented entities

No empirical or fitted quantities appear in the paper. The proof uses a standard hierarchy of small constants (1/n << 1/t << eps << theta << ... << gamma << 1/Delta, 1/k) chosen by hand, but these are universal and not fitted to data. External theorems are listed in the axioms. No new postulated ontological entities are introduced; the robust framework is a proof device defined and verified inside the paper.

assumptions (6)
  • standard math Weak hypergraph regularity lemma admits epsilon-regular partitions with bounded number of parts.
    Invoked in Section 5 (Theorem 5.1) to build the reduced graph R with alpha-perturbed minimum degree.
  • standard math Lemma 2.3 of Lang and Sanhueza-Matamala: removing a sparse subgraph from a graph with delta_ell >= delta yields a graph with alpha-perturbed minimum ell-degree at least delta - alpha.
    Used in Section 5 (Lemma 2.5) to transfer the minimum degree condition to the reduced graph after deleting irregular pairs.
  • domain assumption Pikhurko's theorem: delta^PM_{k,k-2} = 1/2.
    Used in Section 1 to establish asymptotic tightness (the binary loose tree contains a perfect matching); cited as reference [25].
  • standard math Erdos-Gallai theorem on large matchings in graphs.
    Used in Lemma 8.4 (Theorem 8.2) to show each large link graph component contains a matching of size (1/4+gamma/3)n.
  • standard math Karamata's inequality for convex functions.
    Used in Lemma 8.4 (Theorem 8.3) to upper-bound the edge count of a graph whose components are all smaller than (1/2+gamma)n.
  • standard math Proposition 2.11 of Lang and Sanhueza-Matamala: if every link graph has an omega-fractional matching of size m, then the graph has an omega-fractional matching of size m.
    Used in Lemma 8.1 to assemble fractional matchings in G* from link graphs.

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Pith. "Pith review of Embedding loose trees in $k$-uniform hypergraphs." pith.science (2026). https://pith.science/paper/QKJ2BTIG

@misc{pith2026250204783,
  author       = {Pith},
  title        = {Pith review of: Embedding loose trees in $k$-uniform hypergraphs},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/QKJ2BTIG}},
  note         = {Machine review of arXiv:2502.04783}
}
abstract

A classical result of Koml\'os, S\'ark\"ozy and Szemer\'edi shows that every large $n$-vertex graph with minimum degree at least $(1/2+\gamma)n$ contains all spanning trees of bounded degree. We generalised this result to loose spanning hypertrees in $k$-uniform hypergraphs, that is, linear hypergraphs obtained by subsequently adding edges sharing a single vertex with a previous edge. We give a general sufficient condition for embedding loose trees with bounded degree. In particular, we show that for all $k\ge 4$, every $n$-vertex $k$-uniform hypergraph with $n\ge n_0(k,\gamma, \Delta)$ and minimum $(k-2)$-degree at least $(1/2+\gamma)\binom{n}{k-2}$ contains every spanning loose tree with maximum vertex degree at most $\Delta$. This bound is asymptotically tight. This generalises a result of Pehova and Petrova, who proved the case when $k=3$ and of Pavez-Sign\'e, Sanhueza-Matamala and Stein, who considered the codegree threshold for bounded degree tight trees.

Figures

Figures reproduced from arXiv: 2502.04783 by the authors.

Figure 1
Figure 1. The binary 3-loose tree T3,2. conjecture is still open but there are many partial results. Regarding spanning k-loose trees, Georgakopoulos, Haslegrave, Montgomery and Narayanan [8] proved that every large n-vertex 3-graph with minimum 2-degree at least n/3 +o(n) have a spanning triangulation of a 2-sphere, which in particular contains some spanning 3- loose tree. Pavez-Sign´e, Sanhueza-Matamala and Stein [23] prove… view at source ↗

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Works this paper leans on

31 extracted references · 31 canonical work pages

  1. [1]

    B¨ ottcher, J

    J. B¨ ottcher, J. Han, Y. Kohayakawa, R. Montgomery, O. Parczyk, and Y. Person, Universality for bounded degree spanning trees in randomly perturbed graphs , Random Structures Algorithms 55 (2019), no. 4, 854–864

  2. [2]

    B¨ ottcher, R

    J. B¨ ottcher, R. Montgomery, O. Parczyk, and Y. Person, Embedding spanning bounded degree graphs in randomly perturbed graphs, Mathematika 66 (2020), no. 2, 422–447

  3. [3]

    Fan R. K. Chung, Regularity lemmas for hypergraphs and quasi-randomness , Random Structures Algo- rithms 2 (1991), no. 2, 241–252

  4. [4]

    Csaba, I

    B. Csaba, I. Levitt, J. Nagy-Gy¨ orgy, and E. Szemer´ edi,Tight bounds for embedding bounded degree trees, Bolyai Soc. Math. Stud., vol. 20, J. Bolyai Math. Soc., Budapest, 2010

  5. [5]

    Erd˝ os and T

    P. Erd˝ os and T. Gallai, On the minimal number of vertices representing the edges of a graph , Magyar Tud. Akad. Mat. Kutat´ o Int. K¨ ozl.6 (1961), 181–203

  6. [6]

    Frankl and Z

    P. Frankl and Z. F¨ uredi, Exact solution of some Tur´ an-type problems , J. Combin. Theory Ser. A 45 (1987), no. 2, 226–262

  7. [7]

    Frankl and V

    P. Frankl and V. R¨ odl,The uniformity lemma for hypergraphs, Graphs Combin. 8 (1992), no. 4, 309–312

  8. [8]

    Georgakopoulos, J

    A. Georgakopoulos, J. Haslegrave, R. Montgomery, and B. Narayanan, Spanning surfaces in 3-graphs, J. Eur. Math. Soc. 24 (2022), no. 1, 303–339

Show all 31 references
  1. [9]

    H` an, Y

    H. H` an, Y. Person, and M. Schacht, On perfect matchings in uniform hypergraphs with large minimum vertex degree, SIAM J. Discrete Math. 23 (2009), no. 2, 732–748

  2. [10]

    Han and D

    J. Han and D. Yang, Spanning trees in sparse expanders , arXiv preprint arXiv:2211.04758 (2022)

  3. [11]

    S. Im, J. Kim, J. Lee, and A. Methuku, A proof of the Elliott–R¨ odl conjecture on hypertrees in Steiner triple systems , Forum Math. Sigma 12 (2024), Paper No. e75

  4. [12]

    Im and H

    S. Im and H. Lee, Dirac’s theorem for linear hypergraphs, arXiv preprint arXiv:2403.14269 (2024)

  5. [13]

    Kalai, Enumeration of Q-acyclic simplicial complexes , Israel J

    G. Kalai, Enumeration of Q-acyclic simplicial complexes , Israel J. Math. 45 (1983), no. 4, 337–351

  6. [14]

    Karamata, Sur une in´ egalit´ e relative aux fonctions convexes, Publications de l’Institut mathematique 1 (1932), no

    J. Karamata, Sur une in´ egalit´ e relative aux fonctions convexes, Publications de l’Institut mathematique 1 (1932), no. 1, 145–147. 38

  7. [15]

    Kathapurkar and R

    A. Kathapurkar and R. Montgomery, Spanning trees in dense directed graphs, J. Combin. Theory Ser. B 156 (2022), 223–249

  8. [16]

    Keevash, D

    P. Keevash, D. K¨ uhn, R. Mycroft, and D. Osthus,Loose Hamilton cycles in hypergraphs, Discrete Math. 311 (2011), no. 7, 544–559

  9. [17]

    Koml´ os, G.N

    J. Koml´ os, G.N. S´ ark¨ ozy, and E. Szemer´ edi,Proof of a packing conjecture of Bollob´ as, Combin. Probab. Comput. 4 (1995), no. 3, 241–255

  10. [18]

    Koml´ os, G.N

    J. Koml´ os, G.N. S´ ark¨ ozy, and E. Szemer´ edi,Spanning trees in dense graphs , Combin. Probab. Comput. 10 (2001), no. 5, 397–416

  11. [19]

    Krivelevich, Embedding spanning trees in random graphs , SIAM J

    M. Krivelevich, Embedding spanning trees in random graphs , SIAM J. Discrete Math. 24 (2010), no. 4, 1495–1500

  12. [20]

    Krivelevich, M

    M. Krivelevich, M. Kwan, and B. Sudakov, Bounded-degree spanning trees in randomly perturbed graphs, SIAM J. Discrete Math. 31 (2017), no. 1, 155–171

  13. [21]

    Lang and N

    R. Lang and N. Sanhueza-Matamala, Minimum degree conditions for tight Hamilton cycles , J. Lond. Math. Soc. (2) 105 (2022), no. 4, 2249–2323

  14. [22]

    Mycroft and T

    R. Mycroft and T. Naia, Trees and tree-like structures in dense digraphs, arXiv preprint arXiv:2012.09201 (2020)

  15. [23]

    Pavez-Sign´ e, N

    M. Pavez-Sign´ e, N. Sanhueza-Matamala, and M. Stein,Dirac-type conditions for spanning bounded-degree hypertrees, J. Combin. Theory Ser. B 165 (2024), 97–141

  16. [24]

    Pehova and K

    Y. Pehova and K. Petrova, Embedding loose spanning trees in 3-uniform hypergraphs, J. Combin. Theory Ser. B 168 (2024), 47–67

  17. [25]

    Pikhurko, Perfect matchings and K3 4 -tilings in hypergraphs of large codegree , Graphs Combin

    O. Pikhurko, Perfect matchings and K3 4 -tilings in hypergraphs of large codegree , Graphs Combin. 24 (2008), no. 4, 391–404

  18. [26]

    Polcyn, C

    J. Polcyn, C. Reiher, V. R¨ odl, and B. Sch¨ ulke, On Hamiltonian cycles in hypergraphs with dense link graphs, J. Combin. Theory Ser. B 150 (2021), 17–75

  19. [27]

    Reiher, V

    C. Reiher, V. R¨ odl, A. Ruci´ nski, M. Schacht, and E. Szemer´ edi,Minimum vertex degree condition for tight Hamiltonian cycles in 3-uniform hypergraphs , Proc. Lond. Math. Soc. (3) 119 (2019), no. 2, 409–439

  20. [28]

    R¨ odl, A

    V. R¨ odl, A. Ruci´ nski, and E. Szemer´ edi,An approximate Dirac-type theorem for k-uniform hypergraphs, Combinatorica 28 (2008), no. 2, 229–260

  21. [29]

    , Perfect matchings in large uniform hypergraphs with large minimum collective degree, J. Combin. Theory Ser. A 116 (2009), no. 3, 613–636

  22. [30]

    Stein, Tree containment and degree conditions , Springer Optim

    M. Stein, Tree containment and degree conditions , Springer Optim. Appl., vol. 165, Springer, Cham,

  23. [31]

    Zhao, Recent advances on Dirac-type problems for hypergraphs , Recent trends in combinatorics, IMA Vol

    Y. Zhao, Recent advances on Dirac-type problems for hypergraphs , Recent trends in combinatorics, IMA Vol. Math. Appl., vol. 159, Springer, [Cham], 2016, pp. 145–165. 39

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