Maximizing subgraph density in graphs of bounded degree and clique number

We asymptotically determine the maximum density of subgraphs isomorphic to $H$, where $H$ is any graph containing a dominating vertex, in graphs $G$ on $n$ vertices with bounded maximum degree and bounded clique number. That is, we asymptotically determine the constant $c=c(H,Δ,ω)$ such that ex$(n,H,\{K_{1,Δ+1},K_{ω+1}\})=(1-o_n(1))cn$ where $ω$ is sufficiently large. Following recent interest in the corresponding parameter mex$(m,H,F)$ where where we fix the number of edges $m$ instead of the number of vertices $n$ of the graph, we determine the asymptotics of mex$(m,H,\{K_{1,1,Δ+1},K_{ω+1}\})$ when $H$ has at least two dominating vertices. We obtain these results via a uniform proof of a common technical generalization of both, where we fix the number of $u$-cliques in the graph. This general result may be of independent interest. Then we localize these results, proving a tight inequality involving the sizes of the locally largest cliques and complete split graphs.

Publication Details

Journal
ArXiv.org
Published
2025-04-14
Primary Topic
Limits and Structures in Graph Theory
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article
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Maximizing subgraph density in graphs of bounded degree and clique number

ArXiv.org
Limits and Structures in Graph Theory
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Maximizing subgraph density in graphs of bounded degree and clique number

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Abstract

We asymptotically determine the maximum density of subgraphs isomorphic to $H$, where $H$ is any graph containing a dominating vertex, in graphs $G$ on $n$ vertices with bounded maximum degree and bounded clique number. That is, we asymptotically determine the constant $c=c(H,Δ,ω)$ such that ex$(n,H,\{K_{1,Δ+1},K_{ω+1}\})=(1-o_n(1))cn$ where $ω$ is sufficiently large. Following recent interest in the corresponding parameter mex$(m,H,F)$ where where we fix the number of edges $m$ instead of the number of vertices $n$ of the graph, we determine the asymptotics of mex$(m,H,\{K_{1,1,Δ+1},K_{ω+1}\})$ when $H$ has at least two dominating vertices. We obtain these results via a uniform proof of a common technical generalization of both, where we fix the number of $u$-cliques in the graph. This general result may be of independent interest. Then we localize these results, proving a tight inequality involving the sizes of the locally largest cliques and complete split graphs.

ArXiv.org
Openalex Percentile: Top 40%
Limits and Structures in Graph Theory
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