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SIAM Journal on Discrete Mathematics
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https://dx.doi.org/10.48550/ar...
Article . 2014
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The Approximate Loebl--Komlós--Sós Conjecture II: The Rough Structure of LKS Graphs

The approximate Loebl-Komlós-Sós conjecture II: The rough structure of LKS graphs
Authors: Jan Hladký; János Komlós; Diana Piguet; Miklós Simonovits; Maya Stein; Endre Szemerédi;

The Approximate Loebl--Komlós--Sós Conjecture II: The Rough Structure of LKS Graphs

Abstract

This is the second of a series of four papers in which we prove the following relaxation of the Loebl-Komlos--Sos Conjecture: For every $��>0$ there exists a number $k_0$ such that for every $k>k_0$ every $n$-vertex graph $G$ with at least $(\frac12+��)n$ vertices of degree at least $(1+��)k$ contains each tree $T$ of order $k$ as a subgraph. In the first paper of the series, we gave a decomposition of the graph $G$ into several parts of different characteristics; this decomposition might be viewed as an analogue of a regular partition for sparse graphs. In the present paper, we find a combinatorial structure inside this decomposition. In the last two papers, we refine the structure and use it for embedding the tree $T$.

38 pages, 4 figures; new is Section 5.1.1; accepted to SIDMA

Countries
Czech Republic, Chile, Hungary
Keywords

Extremal problems in graph theory, Tree embedding, QA Mathematics / matematika, sparse graph, Extremal graph theory, Loebl-Komlós-Sós conjecture, Loebl–Komlós–Sós conjecture, extremal graph theory, Graph decomposition, Sparse graph, tree embedding, Trees, regularity lemma, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), Regularity lemma, FOS: Mathematics, Mathematics - Combinatorics, Density (toughness, etc.), Combinatorics (math.CO), graph decomposition

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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!
13
Top 10%
Top 10%
Top 10%
Green
bronze