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Discrete Mathematics
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Splits with forbidden subgraphs

Authors: Maria Axenovich; Ryan R. Martin;

Splits with forbidden subgraphs

Abstract

In this note, we fix a graph $H$ and ask into how many vertices can each vertex of a clique of size $n$ can be "split" such that the resulting graph is $H$-free. Formally: A graph is an $(n,k)$-graph if its vertex sets is a pairwise disjoint union of $n$ parts of size at most $k$ each such that there is an edge between any two distinct parts. Let $$ f(n,H) = \min \{k \in \mathbb N : \mbox{there is an $(n,k)$-graph $G$ such that $H\not\subseteq G$}\} . $$ Barbanera and Ueckerdt observed that $f(n, H)=2$ for any graph $H$ that is not bipartite. If a graph $H$ is bipartite and has a well-defined Turán exponent, i.e., ${\rm ex}(n, H) = Θ(n^r)$ for some $r$, we show that $Ω(n^{2/r -1}) = f(n, H) = O (n^{2/r-1} \log ^{1/r} n)$. We extend this result to all bipartite graphs for which an upper and a lower Turán exponents do not differ by much. In addition, we prove that $f(n, K_{2,t}) =Θ(n^{1/3})$ for any fixed $t$.

12 pages; In v1 and v2, there were missing floors and ceilings in Theorem 5 that in some cases would lead to an incorrect result. In v3, we correct this minor error

Country
Germany
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Keywords

ddc:510, Extremal problems in graph theory, Graph representations (geometric and intersection representations, etc.), split, Enumeration in graph theory, 05C35, 05D40, 510, forbidden subgraphs, extremal function, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), Mathematics, info:eu-repo/classification/ddc/510

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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
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