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Tight connectivity and shadow densities in generalized Erdős--Rogers problems

Abstract

Let F and G be r-uniform hypergraphs, and let fF,G(n) be the largest integer m such that every n-vertex G-free r-graph contains an induced F-free subgraph on m vertices. We prove that, for r≥3 and 2≤ k≤ r−1, if F is nonempty, G is k-tightly connected, and there is no homomorphism from G to F (that is, Gnot→ F), then fF,G(n)≤ C(log n)βF(k), βF(k)= max∅≠ P⊆∂kF e(P)/(v(P)−1). The case r=3 of our result resolves a conjecture of He and Nie. As a consequence, we obtain the Ramsey lower bound r(G,Knr)≥2Ω(n(r−1)/binom rk) for every k-tightly connected non-r-partite r-graph G. This extends a result of Conlon, Fox, Gunby, He, Mubayi, Suk, Verstraëte and Yu from the 3-uniform setting.

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BibTeX
@misc{dai2026tight,
  title = {{Tight connectivity and shadow densities in generalized Erdős--Rogers problems}},
  author = {Lulu Dai and Qizhong Lin},
  howpublished = {arXiv},
  year = {2026},
  month = aug,
  doi = {10.48550/arxiv.2607.00732},
  eprint = {2607.00732},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.00732},
}
RIS
TY  - UNPB
TI  - Tight connectivity and shadow densities in generalized Erdős--Rogers problems
AU  - Lulu Dai
AU  - Qizhong Lin
PY  - 2026
DA  - 2026/08/28
PB  - arXiv
DO  - 10.48550/arxiv.2607.00732
UR  - https://arxiv.org/abs/2607.00732
AB  - Let F and G be r-uniform hypergraphs, and let f_F,G(n) be the largest integer m such that every n-vertex G-free r-graph contains an induced F-free subgraph on m vertices. We prove that, for r≥3 and 2≤ k≤ r−1, if F is nonempty, G is k-tightly connected, and there is no homomorphism from G to F (that is, Gnot→ F), then f_F,G(n)≤ C(log n)^β_F^(k), β_F^(k)= max_∅≠ P⊆∂_kF e(P)/(v(P)−1). The case r=3 of our result resolves a conjecture of He and Nie. As a consequence, we obtain the Ramsey lower bound r(G,K_n^r)≥2^Ω(n^(r−1)/binom rk) for every k-tightly connected non-r-partite r-graph G. This extends a result of Conlon, Fox, Gunby, He, Mubayi, Suk, Verstraëte and Yu from the 3-uniform setting.
ER  -