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Journal of Combinatorial Theory Series B
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Embedding loose spanning trees in 3-uniform hypergraphs

Authors: Yanitsa Pehova; Kalina Petrova;

Embedding loose spanning trees in 3-uniform hypergraphs

Abstract

In 1995, Komlós, Sárközy and Szemerédi showed that every large n-vertex graph with minimum degree at least (1/2+γ)n contains all spanning trees of bounded degree. We consider a generalization of this result to loose spanning hypertrees in 3-graphs, that is, linear hypergraphs obtained by successively appending edges sharing a single vertex with a previous edge. We show that for all γ and Δ, and n large, every n-vertex 3-uniform hypergraph of minimum vertex degree (5/9+γ)(n/2) contains every loose spanning tree T with maximum vertex degree Δ. This bound is asymptotically tight, since some loose trees contain perfect matchings.

Journal of Combinatorial Theory, Series B, 168

ISSN:0095-8956

Keywords

Minimum degree thresholds, Spanning trees, Extremal graph theory, extremal graph theory, Hypergraphs, EP/V038168/1, Trees, Absorption, hypergraph regularity lemma, Hypergraph regularity lemma, Isomorphism problems in graph theory (reconstruction conjecture, etc.) and homomorphisms (subgraph embedding, etc.), FOS: Mathematics, Mathematics - Combinatorics, 05C35, 05Dxx, 05Cxx, Extremal problems in graph theory, CRSII5 173721, Dirac-type theorems, Extremal graph theory; Hypergraphs; Spanning trees; Minimum degree threshold; Dirac-type theorems; Absorption; Hypergraph regularity lemma, minimum degree thresholds, spanning trees, hypergraphs, external graph theory, Combinatorics (math.CO), Minimum degree threshold, dirac-type theorems, absorption

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
hybrid