Stefanie Gerke ; Martin Marciniszyn ; Angelika Steger
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A Probabilistic Counting Lemma for Complete Graphs
dmtcs:3464 -
Discrete Mathematics & Theoretical Computer Science,
January 1, 2005,
DMTCS Proceedings vol. AE, European Conference on Combinatorics, Graph Theory and Applications (EuroComb '05)
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https://doi.org/10.46298/dmtcs.3464A Probabilistic Counting Lemma for Complete GraphsConference paper
Authors: Stefanie Gerke 1; Martin Marciniszyn 1; Angelika Steger 1
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Stefanie Gerke;Martin Marciniszyn;Angelika Steger
- 1 Institute of Theoretical Computer Science [Zurich]
We prove the existence of many complete graphs in almost all sufficiently dense partitions obtained by an application of Szemerédi's Regularity Lemma. More precisely, we consider the number of complete graphs $K_{\ell}$ on $\ell$ vertices in $\ell$-partite graphs where each partition class consists of $n$ vertices and there is an $\varepsilon$-regular graph on $m$ edges between any two partition classes. We show that for all $\beta > $0, at most a $\beta^m$-fraction of graphs in this family contain less than the expected number of copies of $K_{\ell}$ provided $\varepsilon$ is sufficiently small and $m \geq Cn^{2-1/(\ell-1)}$ for a constant $C > 0$ and $n$ sufficiently large. This result is a counting version of a restricted version of a conjecture by Kohayakawa, Łuczak and Rödl and has several implications for random graphs.
Volume: DMTCS Proceedings vol. AE, European Conference on Combinatorics, Graph Theory and Applications (EuroComb '05)
Section: Proceedings
Published on: January 1, 2005
Imported on: May 10, 2017
Keywords: [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], [MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO], [en] random graph, regularity lemma, combinatorial counting
Funding:
Source : OpenAIRE Graph- Funder: Natural Sciences and Engineering Research Council of Canada
- Fundamental Algorithms based on Random Sampling, Convex Relaxation, and Spectral Analysis; Funder: National Science Foundation; Code: 0721503