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A Sharp Threshold for Random Graphs with a Monochromatic Triangle in Every Edge Coloring
 
Ehud Friedgut Hebrew University, Jersulem, Israel
Vojtech Rödl Adam Mickiewicz University, Poznán, Poland
Andrzej Ruciński Georgia Institute of Technology, Atlanta, GA
A Sharp Threshold for Random Graphs with a Monochromatic Triangle in Every Edge Coloring
eBook ISBN:  978-1-4704-0446-8
Product Code:  MEMO/179/845.E
List Price: $59.00
MAA Member Price: $53.10
AMS Member Price: $35.40
A Sharp Threshold for Random Graphs with a Monochromatic Triangle in Every Edge Coloring
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A Sharp Threshold for Random Graphs with a Monochromatic Triangle in Every Edge Coloring
Ehud Friedgut Hebrew University, Jersulem, Israel
Vojtech Rödl Adam Mickiewicz University, Poznán, Poland
Andrzej Ruciński Georgia Institute of Technology, Atlanta, GA
eBook ISBN:  978-1-4704-0446-8
Product Code:  MEMO/179/845.E
List Price: $59.00
MAA Member Price: $53.10
AMS Member Price: $35.40
  • Book Details
     
     
    Memoirs of the American Mathematical Society
    Volume: 1792006; 66 pp
    MSC: Primary 05

    Let \(\mathcal{R}\) be the set of all finite graphs \(G\) with the Ramsey property that every coloring of the edges of \(G\) by two colors yields a monochromatic triangle. In this paper we establish a sharp threshold for random graphs with this property. Let \(G(n,p)\) be the random graph on \(n\) vertices with edge probability \(p\). We prove that there exists a function \(\widehat c=\widehat c(n)=\Theta(1)\) such that for any \(\varepsilon > 0\), as \(n\) tends to infinity, \(Pr\left[G(n,(1-\varepsilon)\widehat c/\sqrt{n}) \in \mathcal{R} \right] \rightarrow 0\) and \(Pr \left[ G(n,(1+\varepsilon)\widehat c/\sqrt{n}) \in \mathcal{R}\ \right] \rightarrow 1\). A crucial tool that is used in the proof and is of independent interest is a generalization of Szemerédi's Regularity Lemma to a certain hypergraph setting.

  • Table of Contents
     
     
    • Chapters
    • 1. Introduction
    • 2. Outline of the proof
    • 3. Tepees and constellations
    • 4. Regularity
    • 5. The core section (proof of Lemma 2.4)
    • 6. Random graphs
    • 7. Summary, further remarks, glossary
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Permission – for use of book, eBook, or Journal content
    Accessibility – to request an alternate format of an AMS title
Volume: 1792006; 66 pp
MSC: Primary 05

Let \(\mathcal{R}\) be the set of all finite graphs \(G\) with the Ramsey property that every coloring of the edges of \(G\) by two colors yields a monochromatic triangle. In this paper we establish a sharp threshold for random graphs with this property. Let \(G(n,p)\) be the random graph on \(n\) vertices with edge probability \(p\). We prove that there exists a function \(\widehat c=\widehat c(n)=\Theta(1)\) such that for any \(\varepsilon > 0\), as \(n\) tends to infinity, \(Pr\left[G(n,(1-\varepsilon)\widehat c/\sqrt{n}) \in \mathcal{R} \right] \rightarrow 0\) and \(Pr \left[ G(n,(1+\varepsilon)\widehat c/\sqrt{n}) \in \mathcal{R}\ \right] \rightarrow 1\). A crucial tool that is used in the proof and is of independent interest is a generalization of Szemerédi's Regularity Lemma to a certain hypergraph setting.

  • Chapters
  • 1. Introduction
  • 2. Outline of the proof
  • 3. Tepees and constellations
  • 4. Regularity
  • 5. The core section (proof of Lemma 2.4)
  • 6. Random graphs
  • 7. Summary, further remarks, glossary
Review Copy – for publishers of book reviews
Permission – for use of book, eBook, or Journal content
Accessibility – to request an alternate format of an AMS title
Please select which format for which you are requesting permissions.